Dan Roth

Q: What Schools Are Affiliated With Dan Roth

Dan Roth is affiliated with the following schools: Technion – Israel Institute of Technology, University of Haifa, University of Illinois Urbana-Champaign, University of Pennsylvania, Harvard University

Dan Roth's AcademicInfluence.com Rankings

Dan Roth

Computer Science

#761

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#784

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Database

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#454

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Computer Science

Why Is Dan Roth Influential?

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According to Wikipedia, Dan Roth is the Eduardo D. Glandt Distinguished Professor of Computer and Information Science at the University of Pennsylvania. Biography Roth got his B.A summa cum laude in Mathematics from the Technion, Israel and his Ph.D in Computer Science from Harvard University in 1995. He taught at the University of Illinois at Urbana-Champaign from 1998 to 2017 before moving to the University of Pennsylvania.

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Dan Roth's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Design Challenges and Misconceptions in Named Entity Recognition (2009) (1482)
Learning Question Classifiers (2002) (1298)
Learning to detect objects in images via a sparse, part-based representation (2004) (973)
Emotions from Text: Machine Learning for Text-based Emotion Prediction (2005) (891)
Local and Global Algorithms for Disambiguation to Wikipedia (2011) (720)
On the Hardness of Approximate Reasoning (1993) (719)
Learning a Sparse Representation for Object Detection (2002) (646)
A Linear Programming Formulation for Global Inference in Natural Language Tasks (2004) (451)
The Importance of Syntactic Parsing and Inference in Semantic Role Labeling (2008) (449)
Synthesis Lectures on Human Language Technologies (2013) (441)
A SNoW-Based Face Detector (1999) (361)
Lifted First-Order Probabilistic Inference (2005) (353)
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences (2018) (311)
Understanding the Value of Features for Coreference Resolution (2008) (308)
A Winnow-Based Approach to Context-Sensitive Spelling Correction (1998) (307)
Recognizing Textual Entailment: Models and Applications (2013) (302)
Knowing What to Believe (when you already know something) (2010) (292)
Learning question classifiers: the role of semantic information (2005) (292)
Generalization Bounds for the Area Under the ROC Curve (2005) (257)
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach (2019) (257)
Driving Semantic Parsing from the World’s Response (2010) (255)
Relational Inference for Wikification (2013) (254)
Guiding Semi-Supervision with Constraint-Driven Learning (2007) (234)
Cross-Lingual Ability of Multilingual BERT: An Empirical Study (2019) (230)
Mistake-Driven Learning in Text Categorization (1997) (228)
Importance of Semantic Representation: Dataless Classification (2008) (228)
Learning to Resolve Natural Language Ambiguities: A Unified Approach (1998) (225)
The Use of Classifiers in Sequential Inference (2001) (222)
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2022) (218)
Recognizing textual entailment: Rational, evaluation and approaches (2009) (216)
Integer linear programming inference for conditional random fields (2005) (206)
Learning to recognize objects (2000) (202)
Constraint Classification: A New Approach to Multiclass Classification (2002) (200)
Semantic Role Labeling Via Integer Linear Programming Inference (2004) (198)
Learning cost-sensitive active classifiers (2002) (194)
Cross-lingual Models of Word Embeddings: An Empirical Comparison (2016) (192)
Constraint Classification for Multiclass Classification and Ranking (2002) (187)
Entity Linking via Joint Encoding of Types, Descriptions, and Context (2017) (186)
Solving General Arithmetic Word Problems (2016) (185)
Minimally Supervised Event Causality Identification (2011) (179)
Exploiting Syntactico-Semantic Structures for Relation Extraction (2011) (178)
Learning invariants using decision trees and implication counterexamples (2016) (169)
Probabilistic Reasoning for Entity & Relation Recognition (2002) (160)
Latent credibility analysis (2013) (158)
Generalized Inference with Multiple Semantic Role Labeling Systems (2005) (156)
On Kernel Methods for Relational Learning (2003) (153)
Learning to reason (1994) (144)
Audio-Visual Affect Recognition (2007) (139)
Joint Mention Extraction and Classification with Mention Hypergraphs (2015) (137)
Joint Inference for Event Timeline Construction (2012) (135)
The Necessity of Syntactic Parsing for Semantic Role Labeling (2005) (133)
Reasoning with Models (1994) (131)
Applying Winnow to Context-Sensitive Spelling Correction (1996) (129)
Margin-Based Active Learning for Structured Output Spaces (2006) (129)
1 Global Inference for Entity and Relation Identification via a Linear Programming Formulation (2007) (128)
Extracting article text from the web with maximum subsequence segmentation (2009) (125)
Unsupervised rank aggregation with distance-based models (2008) (125)
Part of Speech Tagging Using a Network of Linear Separators (1998) (124)
Structured learning with constrained conditional models (2012) (124)
Learning and Inference over Constrained Output (2005) (118)
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies (2021) (117)
On Dataless Hierarchical Text Classification (2014) (115)
Reasoning about Quantities in Natural Language (2015) (114)
“Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding (2019) (114)
Making Better Informed Trust Decisions with Generalized Fact-Finding (2011) (113)
Algorithm Selection and Model Adaptation for ESL Correction Tasks (2011) (112)
An Unsupervised Learning Algorithm for Rank Aggregation (2007) (111)
Learning from natural instructions (2011) (108)
An Inference Model for Semantic Entailment in Natural Language (2005) (108)
Cheap Translation for Cross-Lingual Named Entity Recognition (2017) (106)
Mining evidences for named entity disambiguation (2013) (105)
A Multi-Axis Annotation Scheme for Event Temporal Relations (2018) (102)
A Learning Approach to Shallow Parsing (1999) (102)
Cross-lingual Wikification Using Multilingual Embeddings (2016) (101)
Relational Learning via Propositional Algorithms: An Information Extraction Case Study (2001) (101)
Joint Reasoning for Temporal and Causal Relations (2018) (101)
Mapping Dependencies Trees: An Application to Question Answering (2003) (99)
Generating Confusion Sets for Context-Sensitive Error Correction (2010) (97)
Neural Module Networks for Reasoning over Text (2019) (97)
Event Detection and Co-reference with Minimal Supervision (2016) (97)
Exploiting Background Knowledge for Relation Extraction (2010) (95)
Recognizing textual entailment: Rational, evaluation and approaches – Erratum (2010) (93)
Task-Oriented Dialogue as Dataflow Synthesis (2020) (92)
Question Answering via Integer Programming over Semi-Structured Knowledge (2016) (92)
Semantic Integration in Text: From Ambiguous Names to Identifiable Entities (2005) (91)
Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora (2006) (89)
Training Paradigms for Correcting Errors in Grammar and Usage (2010) (88)
Cross-Lingual Named Entity Recognition via Wikification (2016) (88)
Solving Hard Coreference Problems (2019) (85)
Annotating ESL Errors: Challenges and Rewards (2010) (84)
Discriminative Learning over Constrained Latent Representations (2010) (83)
Learning and Inference with Constraints (2008) (83)
“Ask Not What Textual Entailment Can Do for You...” (2010) (82)
A Structured Learning Approach to Temporal Relation Extraction (2017) (82)
Confidence Driven Unsupervised Semantic Parsing (2011) (81)
Learning Based Java for Rapid Development of NLP Systems (2010) (79)
Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora (2006) (79)
Exploring evidence for shallow parsing (2001) (78)
Story Comprehension for Predicting What Happens Next (2017) (77)
Unsupervised Sparse Vector Densification for Short Text Similarity (2015) (76)
Scaling Up Context-Sensitive Text Correction (2001) (76)
Learning in Natural Language (1999) (75)
Content-driven trust propagation framework (2011) (73)
Understanding Probabilistic Classifiers (2001) (72)
Seeing Things from a Different Angle:Discovering Diverse Perspectives about Claims (2019) (72)
Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving (2016) (71)
Grammatical Error Correction: Machine Translation and Classifiers (2016) (70)
Bimodal HCI-related affect recognition (2004) (70)
A Constrained Latent Variable Model for Coreference Resolution (2013) (69)
Unsupervised Rank Aggregation with Domain-Specific Expertise (2009) (68)
Modeling Semantic Relations Expressed by Prepositions (2013) (68)
A Sequential Model for Multi-Class Classification (2001) (68)
Learning to Recognize 3D Objects with SNoW (2000) (66)
Question Answering as Global Reasoning Over Semantic Abstractions (2018) (66)
Learning-based Multi-Sieve Co-reference Resolution with Knowledge (2012) (66)
The Illinois-Columbia System in the CoNLL-2014 Shared Task (2014) (65)
Extending Multilingual BERT to Low-Resource Languages (2020) (65)
Maximum Margin Coresets for Active and Noise Tolerant Learning (2007) (63)
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions (2020) (63)
MPE and Partial Inversion in Lifted Probabilistic Variable Elimination (2006) (63)
On Bayesian interpretation of fact-finding in information networks (2011) (63)
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification (2018) (62)
Structured Output Learning with Indirect Supervision (2010) (62)
Temporal Common Sense Acquisition with Minimal Supervision (2020) (61)
Concept-based analysis of scientific literature (2013) (61)
Efficient Pattern-Based Time Series Classification on GPU (2012) (61)
Mapping to Declarative Knowledge for Word Problem Solving (2017) (61)
Identification and Tracing of Ambiguous Names: Discriminative and Generative Approaches (2004) (60)
Learning English Light Verb Constructions: Contextual or Statistical (2011) (59)
The University of Illinois System in the CoNLL-2013 Shared Task (2013) (59)
A Classification Approach to Word Prediction (2000) (58)
Joint Constrained Learning for Event-Event Relation Extraction (2020) (57)
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey (2021) (56)
An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines) (2012) (55)
Grammar Error Correction in Morphologically Rich Languages: The Case of Russian (2019) (53)
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms (2001) (52)
Understanding evolution of research themes: a probabilistic generative model for citations (2013) (52)
Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM (2015) (52)
Learning to Recognize Three-Dimensional Objects (2002) (51)
A Joint Framework for Coreference Resolution and Mention Head Detection (2015) (51)
Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks (2015) (50)
Applying System Combination to Base Noun Phrase Identification (2000) (49)
TransOMCS: From Linguistic Graphs to Commonsense Knowledge (2020) (49)
Unified Expectation Maximization (2012) (48)
A Joint Model for Extended Semantic Role Labeling (2011) (48)
Commonsense Reasoning for Natural Language Processing (2020) (48)
Natural Language Inference via Dependency Tree Mapping: An Application to Question Answering (2004) (48)
Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary (2020) (47)
Do Language Embeddings capture Scales? (2020) (47)
Relation Alignment for Textual Entailment Recognition (2009) (46)
An Improved Neural Baseline for Temporal Relation Extraction (2019) (45)
Selective block minimization for faster convergence of limited memory large-scale linear models (2011) (44)
Zero-Shot Open Entity Typing as Type-Compatible Grounding (2019) (44)
A Survey of First-Order Probabilistic Models (2008) (43)
Citation Author Topic Model in Expert Search (2010) (43)
Visual Pivoting for (Unsupervised) Entity Alignment (2020) (43)
Learning to Reason with a Restricted View (1995) (43)
Margin-based active learning for structured predictions (2010) (43)
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource (2018) (42)
Evidence Sentence Extraction for Machine Reading Comprehension (2019) (42)
How Large Are Lions? Inducing Distributions over Quantitative Attributes (2019) (42)
Modeling Discriminative Global Inference (2007) (42)
Automatic Event Extraction with Structured Preference Modeling (2012) (41)
CogCompTime: A Tool for Understanding Time in Natural Language (2018) (41)
Extraction of events and temporal expressions from clinical narratives (2013) (41)
Incidental Supervision: Moving beyond Supervised Learning (2017) (40)
Reading to Learn: Constructing Features from Semantic Abstracts (2009) (40)
Zero-shot Event Extraction via Transfer Learning: Challenges and Insights (2021) (40)
Inference Protocols for Coreference Resolution (2011) (40)
On generalization bounds, projection profile, and margin distribution (2002) (39)
Provenance-Assisted Classification in Social Networks (2014) (39)
Temporal Reasoning on Implicit Events from Distant Supervision (2020) (39)
On learning Read-k-Satisfy-j DNF (1994) (39)
A text mining framework for advancing sustainability indicators (2014) (38)
Generalized fact-finding (2011) (38)
Two Discourse Driven Language Models for Semantics (2016) (38)
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection (2021) (38)
Robust Reading: Identification and Tracing of Ambiguous Names (2004) (37)
Learnability of Bipartite Ranking Functions (2005) (37)
The UI System in the HOO 2012 Shared Task on Error Correction (2012) (37)
Unsupervised discovery of opposing opinion networks from forum discussions (2012) (36)
Recognizing Textual Entailment (2012) (36)
Relational Learning for NLP using Linear Threshold Elements (1999) (36)
Semantic Role Labeling Via Generalized Inference Over Classifiers (2004) (36)
CUNY-UIUC-SRI TAC-KBP2011 Entity Linking System Description (2011) (35)
Joint Multilingual Supervision for Cross-lingual Entity Linking (2018) (34)
Learning and Inference for Clause Identification (2002) (34)
Overcoming bias to learn about controversial topics (2015) (34)
Building a State-of-the-Art Grammatical Error Correction System (2014) (34)
Learning Active Classifiers (1996) (34)
Initialization and Restart in Stochastic Local Search: Computing a Most Probable Explanation in Bayesian Networks (2011) (33)
Reasoning with examples: propositional formulae and database dependencies (1999) (33)
University of Illinois System in HOO Text Correction Shared Task (2011) (33)
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System (2021) (33)
Machine Transliteration for Indian Languages: A Literature Survey (2011) (32)
Efficient Decomposed Learning for Structured Prediction (2012) (31)
Learning with Feature Description Logics (2002) (31)
Margin distribution and learning algorithms (2003) (31)
The Role of Semantic Information in Learning Question Classifiers (2004) (31)
Relational Representations that Facilitate Learning (1999) (31)
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema (2021) (30)
Transliteration as Constrained Optimization (2008) (30)
CogCompNLP: Your Swiss Army Knife for NLP (2018) (30)
Learning What is Essential in Questions (2017) (30)
SNoW User Guide (1999) (29)
Named Entity Recognition with Partially Annotated Training Data (2019) (29)
Saul: Towards Declarative Learning Based Programming (2015) (29)
Correcting Grammatical Verb Errors (2014) (28)
Robust, Light-weight Approaches to compute Lexical Similarity (2010) (28)
Analogous Process Structure Induction for Sub-event Sequence Prediction (2020) (28)
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering (2006) (28)
Starting from Scratch in Semantic Role Labeling: Early Indirect Supervision (2013) (28)
Semantic and Logical Inference Model for Textual Entailment (2007) (28)
BiasTrust: teaching biased users about controversial topics (2012) (28)
Joint Learning and Inference for Grammatical Error Correction (2013) (28)
Context Sensitive Paraphrasing with a Global Unsupervised Classifier (2007) (27)
Illinois-Coref: The UI System in the CoNLL-2012 Shared Task (2012) (27)
Wikification and Beyond: The Challenges of Entity and Concept Grounding (2014) (26)
Structured learning for spatial information extraction from biomedical text: bacteria biotopes (2015) (26)
A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods (2021) (26)
Learning to Reason: The Non-Monotonic Case (1995) (26)
Soft-constrained inference for Named Entity Recognition (2014) (25)
On Amortizing Inference Cost for Structured Prediction (2012) (25)
Robust Named Entity Recognition with Truecasing Pretraining (2019) (25)
Defaults and Relevance in Model-Based Reasoning (1997) (24)
Entity Disambiguation with Linkless Knowledge Bases (2016) (24)
litewi: A combined term extraction and entity linking method for eliciting educational ontologies from textbooks (2016) (24)
Unsupervised Constraint Driven Learning For Transliteration Discovery (2009) (23)
End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions (2018) (23)
Interactive Feature Space Construction using Semantic Information (2009) (23)
Word Embeddings with Limited Memory (2016) (23)
On learning visual concepts and DNF formulae (1993) (22)
Apollo: Towards factfinding in participatory sensing (2011) (22)
Linear Concepts and Hidden Variables (2004) (22)
QuASE: Question-Answer Driven Sentence Encoding (2019) (22)
Question-Answering via Enhanced Understanding of Questions (2002) (22)
Equation Parsing : Mapping Sentences to Grounded Equations (2016) (22)
Cross-Lingual Dataless Classification for Many Languages (2016) (22)
Active Sample Selection for Named Entity Transliteration (2008) (21)
Concept Grounding to Multiple Knowledge Bases via Indirect Supervision (2016) (21)
“I’D Rather Just Go to Bed”: Understanding Indirect Answers (2020) (21)
ner and pos when nothing is capitalized (2019) (21)
A Framework for Entailed Relation Recognition (2009) (21)
On the Capabilities and Limitations of Reasoning for Natural Language Understanding (2019) (21)
Robust Cross-Lingual Hypernymy Detection Using Dependency Context (2018) (21)
Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution (2008) (21)
RPI-BLENDER TAC-KBP2013 Knowledge Base Population System (2013) (21)
A Robust Shallow Temporal Reasoning System (2012) (21)
Named Entity Transliteration and Discovery from Multilingual Comparable Corpora (2006) (20)
Debiasing Crowdsourced Batches (2015) (20)
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems (2018) (20)
Constraints Based Taxonomic Relation Classification (2010) (20)
Cross-lingual Entity Alignment with Incidental Supervision (2021) (20)
Sorting out the Most Confusing English Phrasal Verbs (2012) (20)
Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations (2015) (20)
A Discriminative Model for Query Spelling Correction with Latent Structural SVM (2012) (20)
Paired Representation Learning for Event and Entity Coreference (2020) (19)
Active Learning for Pipeline Models (2008) (19)
Zero-shot Label-Aware Event Trigger and Argument Classification (2021) (19)
Revisiting the Evaluation for Cross Document Event Coreference (2016) (19)
Identifying Semitic Roots: Machine Learning with Linguistic Constraints (2008) (18)
Learning Hebrew Roots: Machine Learning with Linguistic Constraints (2004) (18)
What Are You Trying to Do? Semantic Typing of Event Processes (2020) (18)
Using domain knowledge and domain-inspired discourse model for coreference resolution for clinical narratives (2013) (18)
Portfolios in Stochastic Local Search: Efficiently Computing Most Probable Explanations in Bayesian Networks (2011) (18)
Connectionist symbol processing : dead or alive ? (1999) (18)
Overview of UI-CCG Systems for Event Argument Extraction , Entity Discovery and Linking , and Slot Filler Validation (2014) (18)
Baby SRL: Modeling Early Language Acquisition. (2008) (18)
EDISON: Feature Extraction for NLP, Simplified (2016) (17)
Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1 (2003) (17)
ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations (2021) (17)
Gauging the internet doctor: ranking medical claims based on community knowledge (2011) (17)
Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages (2018) (17)
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction (2017) (17)
Incorporating Knowledge in Natural Language Learning: A Case Study (1998) (17)
Learning better transliterations (2009) (16)
Multi-core Structural SVM Training (2013) (16)
QANom: Question-Answer driven SRL for Nominalizations (2020) (16)
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior (2020) (16)
World Knowledge as Indirect Supervision for Document Clustering (2016) (16)
Multilingual dependency parsing: A pipeline approach (2007) (16)
Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems (2015) (16)
An Inventory of Preposition Relations (2013) (16)
Learning to Decompose and Organize Complex Tasks (2021) (16)
Event-Centric Natural Language Processing (2021) (15)
Will I Get in? Modeling the Graduate Admission Process for American Universities (2016) (15)
A Consolidated Open Knowledge Representation for Multiple Texts (2017) (15)
Learning Based Programming (1999) (15)
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval (2022) (15)
Label Semantics for Few Shot Named Entity Recognition (2022) (15)
Knowledge Representation for Semantic Entailment and Question-Answering (1995) (15)
Margin Distribution and Learning (2003) (15)
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner (2022) (15)
A Discriminative Latent Variable Model for Online Clustering (2014) (14)
Improving Generalization in Coreference Resolution via Adversarial Training (2019) (14)
The Necessity of Combining Adaptation Methods (2010) (14)
Learning to Identify Semitic Roots (2007) (14)
SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics (2020) (14)
Experts’ Retrieval with Multiword-Enhanced Author Topic Model (2010) (14)
A Uniform Convergence Bound for the Area Under the ROC Curve (2005) (14)
TALEN: Tool for Annotation of Low-resource ENtities (2018) (14)
Learning to Recognize 3D Objects (2000) (13)
Structural Learning with Amortized Inference (2015) (13)
A study of the bipartite ranking problem in machine learning (2005) (13)
Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes (2018) (13)
Starting from Scratch in Semantic Role Labeling (2010) (13)
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses (2019) (13)
Learning from Negative Examples in Set-Expansion (2011) (13)
Context Sensitive Paraphrasing with a Single Unsupervised Classifier (2007) (13)
IllinoisSL: A JAVA Library for Structured Prediction (2015) (13)
Event Time Extraction and Propagation via Graph Attention Networks (2021) (13)
COMPREHENSIVE TRUST METRICS FOR INFORMATION NETWORKS (2010) (12)
Gene recognition based on DAG shortest paths (2001) (12)
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization (2022) (12)
A Pipeline Model for Bottom-Up Dependency Parsing (2006) (12)
Partial Or Complete, That’s The Question (2019) (12)
Token-level Disambiguation of VerbNet classes (2005) (12)
BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language (2021) (12)
Named Entity Transliteration and Discovery in Multilingual Corpora (2006) (12)
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition (2002) (12)
Splice Site Prediction Using a Sparse Network of Winnows (2001) (12)
The Wikipedia Corpus (2008) (12)
Reasoning with Classifiers (2002) (12)
Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries (2021) (11)
Evidence-based Trustworthiness (2019) (11)
A Distributional and Orthographic Aggregation Model for English Derivational Morphology (2018) (11)
Learning Components for A Question-Answering System (2001) (11)
Text Classification with Few Examples using Controlled Generalization (2019) (11)
Learning Better Name Translation for Cross-Lingual Wikification (2018) (11)
Learning to Reason for Text Generation from Scientific Tables (2021) (11)
Adapting to Learner Errors with Minimal Supervision (2017) (11)
Systems AI: A Declarative Learning Based Programming Perspective (2018) (11)
Evaluation of named entity coreference (2019) (11)
“Making the News”: Identifying Noteworthy Events in News Articles (2016) (11)
Multi-lingual Evaluation of Code Generation Models (2022) (11)
Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics (2022) (11)
Active Learning with Perceptron for Structured Output (2006) (11)
Minimally Supervised Model of Early Language Acquisition (2009) (10)
End-to-End Coreference Resolution for Clinical Narratives (2013) (10)
KnowSemLM: A Knowledge Infused Semantic Language Model (2019) (10)
A Large Deviation Bound for the Area Under the ROC Curve (2004) (10)
Using Soft Constraints in Joint Inference for Clinical Concept Recognition (2013) (10)
On the Strength of Character Language Models for Multilingual Named Entity Recognition (2018) (10)
Labeling the Semantic Roles of Commas (2016) (10)
Towards Problem Solving Agents that Communicate and Learn (2017) (10)
A Connectionist Framework for Reasoning: Reasoning with Examples (1996) (10)
Illinois Math Solver: Math Reasoning on the Web (2016) (10)
A Joint Model for Semantic Sequences: Frames, Entities, Sentiments (2017) (10)
PerspectroScope: A Window to the World of Diverse Perspectives (2019) (10)
Toward any-language zero-shot topic classification of textual documents (2019) (10)
Default-Reasoning with Models (1995) (10)
A Framework for Unsupervised Rank Aggregation (2008) (10)
Better call Saul: Flexible Programming for Learning and Inference in NLP (2016) (10)
Discriminative Training of Clustering Functions: Theory and Experiments with Entity Identification (2005) (10)
Exploiting Partially Annotated Data in Temporal Relation Extraction (2018) (9)
Learning Constraints and Descriptive Segmentation for Subevent Detection (2021) (9)
Label Semantic Aware Pre-training for Few-shot Text Classification (2022) (9)
How Good (really) are Grammatical Error Correction Systems? (2021) (9)
Preference-Guided Planning: An Active Elicitation Approach (2018) (9)
Detecting privacy-sensitive events in medical text (2014) (9)
Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks (2020) (9)
On Learning Visual Concepts and DNF Formulae (1996) (9)
“Who said it, and Why?” Provenance for Natural Language Claims (2020) (9)
Rethinking with Retrieval: Faithful Large Language Model Inference (2022) (9)
Machine Learning with World Knowledge: The Position and Survey (2017) (9)
GLOW TAC-KBP2011 Entity Linking System (2011) (9)
Margin-based Decomposed Amortized Inference (2013) (9)
Sequential Learning of Classifiers for Structured Prediction Problems (2009) (9)
Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems (2013) (9)
Learning Coherent Concepts (2001) (8)
Phrasenet: towards context sensitive lexical semantics (2003) (8)
Distributed Training of Structured SVM (2015) (8)
Adapting Text instead of the Model: An Open Domain Approach (2011) (8)
Design Challenges in Low-resource Cross-lingual Entity Linking (2020) (8)
Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization (2019) (8)
Learning and Inference for Structured Prediction: A Unifying Perspective (2019) (8)
Weighted Training for Cross-Task Learning (2021) (8)
Improving a Pipeline Architecture for Shallow Discourse Parsing (2015) (8)
From Spatial Relations to Spatial Configurations (2020) (8)
Exploiting the Wikipedia structure in local and global classification of taxonomic relations* (2012) (8)
Cross-modal Map Learning for Vision and Language Navigation (2022) (8)
Multi-lingual Entity Discovery and Linking (2018) (7)
A General-Purpose Algorithm for Constrained Sequential Inference (2019) (7)
Stochastic Greedy Search: Efficiently Computing a Most Probable Explanation in Bayesian Networks (2000) (7)
Conceptual Search And Text Categorization (2008) (7)
Robust Handling of Polysemy via Sparse Representations (2018) (7)
Term Definitions Help Hypernymy Detection (2018) (7)
Toward a Theory of Learning Coherent Concepts (2000) (7)
An incremental model of syntactic bootstrapping (2016) (7)
Online Latent Structure Training for Language Acquisition (2011) (7)
Unbiased learning of controversial topics (2012) (7)
Unsupervised Label-aware Event Trigger and Argument Classification (2020) (7)
Leveraging Domain-Independent Information in Semantic Parsing (2013) (7)
Do We Know What We Don't Know? Studying Unanswerable Questions beyond SQuAD 2.0 (2021) (7)
Learning in Natural Language: Theory and Algorithmic Approaches (2000) (7)
41st Annual Meeting of the Association for Computational Linguistics : proceedings of the conference, 7-12 July 2003, Sappro Convention Center, Sapporo, Japan (2003) (7)
Illinois Cross-Lingual Wikifier: Grounding Entities in Many Languages to the English Wikipedia (2016) (6)
Learning Contextual Causality between Daily Events from Time-consecutive Images (2021) (6)
Learning Contextual Causality from Time-consecutive Images (2020) (6)
ILLINOISCLOUDNLP: Text Analytics Services in the Cloud (2014) (6)
Shallow Parsing by Inferencing with Classifiers (2000) (6)
Learning multi-linear representations of distributions for efficient inference (2009) (6)
SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables (2021) (6)
ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning (2021) (6)
On the Possibilities and Limitations of Multi-hop Reasoning Under Linguistic Imperfections (2019) (6)
Foreseeing the Benefits of Incidental Supervision (2020) (6)
BSNLP2019 Shared Task Submission: Multisource Neural NER Transfer (2019) (6)
Proceedings of the Sixth Conference on Natural Language Learning (2002) (6)
Iterative Labeling for Semi-Supervised Learning (2004) (5)
Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP (2012) (5)
Cross-lingual Dataless Classification for Languages with Small Wikipedia Presence (2016) (5)
Coreference Reasoning in Machine Reading Comprehension (2020) (5)
Erratum: “From Paraphrase Database to Compositional Paraphrase Model and Back” (2015) (5)
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction (2022) (5)
Understanding Spatial Relations through Multiple Modalities (2020) (5)
What do we expect from Multiple-choice QA Systems? (2020) (5)
UI CCG TAC-KBP2017 Submissions: Entity Discovery and Linking, and Event Nugget Detection and Co-reference (2017) (5)
Planning with actively eliciting preferences (2019) (5)
Building Low-Resource NER Models Using Non-Speaker Annotations (2020) (5)
Who's Who in Your Digital Collection: Developing a Tool for Name Disambiguation and Identity Resolution (2010) (5)
RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios (2022) (5)
Unsupervised Aggregation for Classification Problems with Large Numbers of Categories (2010) (5)
A Unified Representation and Inference Paradigm for Natural Language (2008) (4)
Face detection using large margin classifiers (2001) (4)
Understanding the Extent to which Summarization Evaluation Metrics Measure the Information Quality of Summaries (2020) (4)
Propositionalization of Relational Learning : An Information Extraction Case Study a (2013) (4)
Learnability with Indirect Supervision Signals (2020) (4)
Constrained Labeled Data Generation for Low-Resource Named Entity Recognition (2021) (4)
Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks (2017) (4)
New Frontiers of Information Extraction (2022) (4)
DiAd: Domain Adaptation for Learning at Scale (2019) (4)
A Pipeline Framework for Dependency Parsing (2006) (4)
Causal Inference Principles for Reasoning about Commonsense Causality (2022) (4)
Is Killed More Significant than Fled? A Contextual Model for Salient Event Detection (2020) (4)
Context-Based Quotation Recommendation (2020) (4)
ILLINOIS-PROFILER: Knowledge Schemas at Scale (2015) (4)
Inference with Classifiers : The Phrase Identification Problem Inference with Classifiers : The Phrase Identification Problem ∗ (2004) (4)
Which "Apple" are you talking about ? (2008) (4)
Pairwise Representation Learning for Event Coreference (2020) (4)
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts (2022) (4)
Linear Concepts and Hidden Variables: An Empirical Study (1997) (3)
Efficient Development of Parallel NLP Applications (2013) (3)
Guest Editors Introduction: Machine Learning in Speech and Language Technologies (2005) (3)
Structured prediction with indirect supervision (2011) (3)
Algorithms and analysis for multi-category classification (2006) (3)
Exploiting Relevance through Model-Based Reasoning (1994) (3)
Do Language Embeddings capture Scales? (2020) (3)
Are All Steps Equally Important? Benchmarking Essentiality Detection of Events (2022) (3)
Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing (2022) (3)
Aspect Guided Text Categorization with Unobserved Labels (2009) (3)
Object Search: Supporting Structured Queries in Web Search Engines (2010) (3)
Proactive Intrusion Detection (2008) (3)
Memory Based Learning in NLP (1999) (3)
Capturing the Content of a Document through Complex Event Identification (2022) (3)
Integer Linear Programming in NLP - Constrained Conditional Models (2010) (3)
Learning Multi-linear Representations of Distributions for Efficient Inference (2009) (3)
Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning (2019) (3)
Illinois CCG Entity Discovery and Linking, Event Nugget Detection and Co-reference, and Slot Filler Validation Systems for TAC 2016 (2016) (3)
Question-Based Salient Span Selection for More Controllable Text Summarization (2021) (3)
On the Limitations of Reference-Free Evaluations of Generated Text (2022) (3)
Yes, No or IDK: The Challenge of Unanswerable Yes/No Questions (2022) (3)
Named Person Coreference in English News (2018) (2)
Human-guided Collaborative Problem Solving: A Natural Language based Framework (2022) (2)
Event Linking: Grounding Event Mentions to Wikipedia (2021) (2)
Privacy Adhering Machine Un-learning in NLP (2022) (2)
Repro: An Open-Source Library for Improving the Reproducibility and Usability of Publicly Available Research Code (2022) (2)
There’s a Time and Place for Reasoning Beyond the Image (2022) (2)
Using Knowledge and Constraints To Find the Best Antecedent (2012) (2)
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale (2022) (2)
Foreshadowing the Benefits of Incidental Supervision (2020) (2)
Quantifying Clinical Outcome Measures in Patients with Epilepsy Using the Electronic Health Record (2022) (2)
Automatic Model Adaptation for Complex Structured Domains (2010) (2)
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context (2022) (2)
What is Your Article Based On? Inferring Fine-grained Provenance (2021) (2)
Transliteration in Any Language with Surrogate Languages (2016) (2)
Generalization Bounds for Linear Learning Algorithms (2001) (2)
Generalization in Instruction Following Systems (2021) (2)
Learning in Order to Reason: The Approach (1996) (2)
Introduction to the special issue on learning semantics (2014) (2)
Judging the Veracity of Claims and Reliability of Sources with Fact-Finders (2014) (2)
Paired Examples as Indirect Supervision in Latent Decision Models (2020) (2)
Zero-Shot On-the-Fly Event Schema Induction (2022) (2)
Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text (2020) (2)
Gold Standard Annotations for Preposition and Verb Sense with Semantic Role Labels in Adult-Child Interactions (2018) (2)
Hard and Easy Bayesian Networks for Computing the Most Probable Explanation (2000) (1)
Joint inference for end-to-end coreference resolution for clinical notes (2014) (1)
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis (2022) (1)
Learning from natural instructions (2013) (1)
Learning via Inference over Structurally Constrained Output (2004) (1)
Reports from the 2015 AAAI Workshop Program (2015) (1)
1 Lifted First-Order Probabilistic Inference (2005) (1)
Discourse in Multimedia: A Case Study in Information Extraction (2018) (1)
Constraint-driven transliteration discovery (2009) (1)
Understanding Robust Generalization in Learning Regular Languages (2022) (1)
Compositional Data and Task Augmentation for Instruction Following (2021) (1)
Generalization Bounds for Linear Learning Algorithm (2001) (1)
Knowing who to trust and what to believe in the presence of conflicting information (2011) (1)
Reports of the 2016 AAAI Workshop Program (2016) (1)
Learning and Inference in Structured Prediction Models AAAI 2016 Tutorial Syllabus (2016) (1)
Learning Structured Information in Natural Language Applications (2006) (1)
Integer Linear Programming formulations in Natural Language Processing (2017) (1)
Minimal supervision for language learning: bootstrapping global patterns from local knowledge (2011) (1)
ReCode: Robustness Evaluation of Code Generation Models (2022) (1)
Illinois CCG LoReHLT 2016 named entity recognition and situation frame systems (2018) (1)
Prior Knowledge Driven Domain Adaptation (2011) (1)
A SNoW-Based Fa e Dete tor (2000) (1)
PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition (2022) (1)
A Unified Framework to Integrate Supervision and Metric Learning into Clustering (2004) (1)
Machine learning for information extraction (2003) (1)
Towards Open-Domain Topic Classification (2022) (1)
Incidental Supervision from Question-Answering Signals (2019) (1)
A Low-Resource Approach to the Grammatical Error Correction of Ukrainian (2023) (1)
Demonstrating an Interactive Semantic Role Labeling System (2005) (1)
Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach (2022) (1)
Integer Linear Programming for Coreference Resolution (2016) (1)
Knowledge and ignorance in reinforcement learning (2011) (1)
Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics (2022) (1)
Named Entity Discovery in Multilingual Comparable Corpora (2006) (1)
Proceedings of the Second Workshop on Semantic Interpretation in an Actionable Context (2012) (1)
Information Trustworthiness AAAI 2013 Tutorial (2013) (1)
Learning and inference for information extraction (2005) (1)
Algorithms and Extensions 1 Quantifying Performance (2017) (0)
Few-Shot Novel Concept Learning for Semantic Parsing (2021) (0)
Dialog2API: Task-Oriented Dialogue with API Description and Example Programs (2022) (0)
Dependency Parsing with a Linear Pipeline Model (0)
MEDIATE: Learning to Match Entity Mentions across Text and Databases (2006) (0)
Robust Concept Learning and Lifelong Adaptation Against Adversarial Attacks (2020) (0)
Inference with classifiers: a study of structured output problems in natural language processing (2005) (0)
IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition using Knowledge Bases (2023) (0)
New Frontiers in Computational Models of Grammatical Development (2012) (0)
Publications Received (2014) (0)
Multi-Document Information Consolidation (2020) (0)
Strategy 3 with CNN 15 Input Word Embedding Linguistic Feature Embedding Left LSTMs Right LSTMs Left LSTMs Character Embedding Word Embedding Right LSTMs (2017) (0)
Inference & Learning with Linear Constraints (2004) (0)
Cross-Lingual Speaker Identification Using Distant Supervision (2022) (0)
Minimum Risk Feature Transformations (2003) (0)
MultiOpEd: A Corpus of Multi-Perspective News Editorials (2021) (0)
Workshop on Computational Models of Language Acquisition and Loss a Morphologically Annotated Hebrew Childes Corpus Unseen Features. Collecting Semantic Data from Congenital Blind Subjects Conference Program Distinguishing Contact-induced Change from Language Drift in Genetically Re- Lated Languages (2012) (0)
Feature Extraction Languages for Machine Learning (0)
Toward concept-based text understanding and mining (2005) (0)
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark (2023) (0)
A Discriminative Latent Variable Model for Clustering of Streaming Data with Application to Coreference Resolution (2013) (0)
An Inference Model for Natural Language Semantic Entailment ∗ (2005) (0)
Functional Subsumption in Feature Description Logic (2004) (0)
Learning to Perform Knowledge-Intensive Inferences (1997) (0)
Reviewers, Volume 33 (1990) (0)
Teaching with Examples in A Real Environment (2013) (0)
Robust Reading of Ambiguous Writing (2003) (0)
Computational frameworks for semantic analysis and wikification: keynote abstract (2013) (0)
Information Integration using Entity-Relations across Bioinformatics Sources (2005) (0)
Constrained conditional models for information fusion (2011) (0)
Introduction to the special issue on learning semantics (2013) (0)
Part of Speech Tagging Using a Network of Linear Separators (0)
Declarative Learning-Based Programming as an Interface to AI Systems (2019) (0)
Design Challenges for a Multi-Perspective Search Engine (2021) (0)
Active Preference Elicitation for Planning (2017) (0)
Illinois CCG LoReHLT 2016 named entity recognition and situation frame systems (2018) (0)
Query Parsing and Semantic Tagging-Query Suggestion and Recommendation-Query Expansion and Intention Detection-Web Query Analysis and Mining-Semantic Annotation and Indexing-Language Modeling for Information Retrieval-Information Extraction and Summarization for Indexing and Search-Question Answerin (2010) (0)
Abstracts of the Israeli Seminar on Computational Linguistics (2010) (0)
Modeling language learning from the ground up (2018) (0)
Lara – Human-guided collaborative problem solver: Effective integration of learning, reasoning and communication (2022) (0)
Association between author metadata and acceptance: A feature-rich, matched observational study of a corpus of ICLR submissions between 2017-2022 (2022) (0)
Constraint Driven Transliteration Discovery 1 (2009) (0)
Solving Very Large Scale Linear SVM Using Multiple Processors (2013) (0)
CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm (2022) (0)
Context Sensitive Paraphrasing (2005) (0)
Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection (2021) (0)
Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks (2019) (0)
On Dataless Hierarchical Text Classification (Author's Manuscript) (2014) (0)
Machine Learning, Reasoning, and Natural Language Processing (2012) (0)
A Survey on Semantic Parsing for Machine Programming (2021) (0)
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing (2022) (0)
Multi-Document Information Consolidation (Dagstuhl Seminar 19182) (2019) (0)
Psychocomputational Models of Human Language Acquisition Proceedings of the Workshop (0)
Generic Temporal Reasoning with Differential Analysis and Explanation (2022) (0)
Conversation Style Transfer using Few-Shot Learning (2023) (0)
Bootstrapping Transliteration with Guided Discovery for Low-Resource Languages (2018) (0)
Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters (2022) (0)
Computational Frameworks for Supporting Textual Inference (2013) (0)
[Illinois] CSE 2013: Making Sense of Unstructured Data (2013) (0)
Towards Corpus-Scale Discovery of Selection Biases in News Coverage: Comparing What Sources Say About Entities as a Start (2023) (0)
Learning in order to reason (1995) (0)
Proactive Detection of Insider Attacks (2007) (0)
First-order Probabilistic Inference Revisited (2004) (0)
Making Sense of Unstructured Textual Data (2010) (0)
What Do Users Care About? Detecting Actionable Insights from User Feedback (2022) (0)
C OG C OMP NLP : Your Swiss Army Knife for NLP (2018) (0)
A New Framework for Domain Adaptation without Model Retraining (2013) (0)
Visualization of Trustworthiness Graphs (2015) (0)
Coherent Concepts, Robust Learning (1999) (0)
GLUECons: A Generic Benchmark for Learning Under Constraints (2023) (0)
Long term epilepsy outcome dynamics revealed by natural language processing of clinic notes. (2023) (0)
New algorithms for attribute-efficient on-line linear learning (2003) (0)
Not All Claims are Created Equal: Choosing the Right Approach to Assess Your Hypotheses (2019) (0)
Structured learning for spatial information extraction from biomedical text: bacteria biotopes (2015) (0)
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval (2022) (0)
Towards Natural Instruction based Learning (2011) (0)
Welcome to the Twenty-Fifth AAAI Conference on Artificial Intelligence! (2011) (0)
Bayesian Network Classifiers: Model Approximation and Learning Complexity (2002) (0)

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