Andrew McCallum

Q: What Schools Are Affiliated With Andrew McCallum

Andrew McCallum is affiliated with the following schools: University of Massachusetts Amherst, Dartmouth College, University of Rochester

Andrew McCallum's AcademicInfluence.com Rankings

Andrew McCallum

Computer Science

#197

World Rank

#204

Historical Rank

#120

USA Rank

Computational Linguistics

#17

World Rank

#17

Historical Rank

USA Rank

Machine Learning

#24

World Rank

#24

Historical Rank

USA Rank

Artificial Intelligence

#59

World Rank

#62

Historical Rank

#30

USA Rank

computer-science Degrees

Download Badge

Computer Science

Why Is Andrew McCallum Influential?

(Suggest an Edit or Addition)

According to Wikipedia, Andrew McCallum is a professor in the computer science department at University of Massachusetts Amherst. His primary specialties are in machine learning, natural language processing, information extraction, information integration, and social network analysis.

(See a Problem?)

Andrew McCallum'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

Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data (2001) (14270)
A comparison of event models for naive bayes text classification (1998) (4034)
Text Classification from Labeled and Unlabeled Documents using EM (2000) (3198)
Maximum Entropy Markov Models for Information Extraction and Segmentation (2000) (1618)
Energy and Policy Considerations for Deep Learning in NLP (2019) (1592)
Optimizing Semantic Coherence in Topic Models (2011) (1390)
Topics over time: a non-Markov continuous-time model of topical trends (2006) (1380)
Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons (2003) (1292)
Efficient clustering of high-dimensional data sets with application to reference matching (2000) (1200)
Modeling Relations and Their Mentions without Labeled Text (2010) (1158)
Introduction to Statistical Relational Learning (2007) (1136)
An Introduction to Conditional Random Fields (2010) (1055)
An Introduction to Conditional Random Fields for Relational Learning (2007) (1048)
Using Maximum Entropy for Text Classification (1999) (1045)
Automating the Construction of Internet Portals with Machine Learning (2000) (976)
Toward Optimal Active Learning through Sampling Estimation of Error Reduction (2001) (973)
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data (2004) (899)
Employing EM and Pool-Based Active Learning for Text Classification (1998) (882)
Distributional clustering of words for text classification (1998) (859)
Learning to Extract Symbolic Knowledge from the World Wide Web (1998) (822)
Rethinking LDA: Why Priors Matter (2009) (714)
Pachinko allocation: DAG-structured mixture models of topic correlations (2006) (694)
Relation Extraction with Matrix Factorization and Universal Schemas (2013) (645)
Improving Text Classification by Shrinkage in a Hierarchy of Classes (1998) (630)
Reinforcement learning with selective perception and hidden state (1996) (572)
Learning to construct knowledge bases from the World Wide Web (2000) (537)
Chinese Segmentation and New Word Detection using Conditional Random Fields (2004) (520)
Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval (2007) (514)
Efficiently Inducing Features of Conditional Random Fields (2002) (485)
Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email (2007) (484)
Collective multi-label classification (2005) (466)
Table extraction using conditional random fields (2003) (448)
Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space (2014) (443)
Efficient methods for topic model inference on streaming document collections (2009) (440)
Learning to Classify Text from Labeled and Unlabeled Documents (1998) (432)
Detecting anomalies in network traffic using maximum entropy estimation (2005) (415)
Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression (2008) (407)
Polylingual Topic Models (2009) (377)
Reducing Labeling Effort for Structured Prediction Tasks (2005) (373)
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning (2017) (358)
Topic and Role Discovery in Social Networks (2005) (356)
Accurate Information Extraction from Research Papers using Conditional Random Fields (2004) (339)
Disambiguating Web appearances of people in a social network (2005) (336)
Word Representations via Gaussian Embedding (2014) (330)
Toward Optimal Active Learning through Monte Carlo Estimation of Error Reduction (2001) (329)
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions (2017) (323)
Information Extraction with HMM Structures Learned by Stochastic Optimization (2000) (319)
Information Extraction with HMMs and Shrinkage (1999) (305)
Linguistically-Informed Self-Attention for Semantic Role Labeling (2018) (304)
Lexicon Infused Phrase Embeddings for Named Entity Resolution (2014) (304)
Semi-Supervised Clustering with User Feedback (2003) (303)
Using Reinforcement Learning to Spider the Web Efficiently (1999) (298)
Materials Synthesis Insights from Scientific Literature via Text Extraction and Machine Learning (2017) (289)
Learning from labeled features using generalized expectation criteria (2008) (286)
Ask the GRU: Multi-task Learning for Deep Text Recommendations (2016) (281)
Expertise modeling for matching papers with reviewers (2007) (270)
Extracting social networks and contact information from email and the Web (2004) (260)
Conditional Models of Identity Uncertainty with Application to Noun Coreference (2004) (257)
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications (2017) (256)
Information extraction from research papers using conditional random fields (2006) (255)
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples (2017) (249)
Compositional Vector Space Models for Knowledge Base Completion (2015) (248)
Mixtures of hierarchical topics with Pachinko allocation (2007) (244)
Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002 (2003) (243)
Classification with Hybrid Generative/Discriminative Models (2003) (235)
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs (2009) (233)
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks (2016) (229)
Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text (2006) (217)
Instance-Based Utile Distinctions for Reinforcement Learning with Hidden State (1995) (216)
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data (2010) (213)
A Machine Learning Approach to Building Domain-Specific Search Engines (1999) (211)
Overcoming Incomplete Perception with Utile Distinction Memory (1993) (207)
Automatic Categorization of Email into Folders: Benchmark Experiments on Enron and SRI Corpora (2005) (205)
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction (2018) (205)
Piecewise Training for Undirected Models (2005) (200)
First-Order Probabilistic Models for Coreference Resolution (2007) (196)
Structured Prediction Energy Networks (2015) (195)
Piecewise pseudolikelihood for efficient training of conditional random fields (2007) (190)
Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference (2003) (182)
Simple, robust, scalable semi-supervised learning via expectation regularization (2007) (181)
Active Learning by Labeling Features (2009) (173)
Building Domain-Specific Search Engines with Machine Learning Techniques (1999) (171)
The author-recipient-topic model for topic and role discovery in social networks (2005) (169)
Rapid development of Hindi named entity recognition using conditional random fields and feature induction (2003) (169)
Interactive Information Extraction with Constrained Conditional Random Fields (2004) (168)
Semi-Supervised Text Classification Using EM (2006) (162)
Collective Segmentation and Labeling of Distant Entities in Information Extraction (2004) (158)
Structured Relation Discovery using Generative Models (2011) (158)
A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance (2005) (157)
Collective Cross-Document Relation Extraction Without Labelled Data (2010) (151)
Information Extraction (2005) (150)
An Integrated, Conditional Model of Information Extraction and Coreference with Appli (2004) (149)
Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models (2011) (144)
Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields (2008) (144)
Energy and Policy Considerations for Modern Deep Learning Research (2020) (142)
Group and topic discovery from relations and text (2005) (139)
Confidence Estimation for Information Extraction (2004) (135)
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks (2017) (131)
Text Classification by Bootstrapping with Keywords, EM and Shrinkage (1999) (129)
Learning a Natural Language Interface with Neural Programmer (2016) (129)
End-to-End Learning for Structured Prediction Energy Networks (2017) (123)
Bibliometric impact measures leveraging topic analysis (2006) (122)
Multi-way distributional clustering via pairwise interactions (2005) (119)
Wikilinks: A Large-scale Cross-Document Coreference Corpus Labeled via Links to Wikipedia (2012) (115)
Fast and Robust Joint Models for Biomedical Event Extraction (2011) (114)
Machine-learned and codified synthesis parameters of oxide materials (2017) (113)
Transition-based Dependency Parsing with Selectional Branching (2013) (112)
Joint inference of entities, relations, and coreference (2013) (110)
Learning to Use Selective Attention and Short-Term Memory in Sequential Tasks (1996) (108)
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification (2006) (105)
Database of NIH grants using machine-learned categories and graphical clustering (2011) (98)
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures (2018) (98)
Joint deduplication of multiple record types in relational data (2005) (96)
Robust Biomedical Event Extraction with Dual Decomposition and Minimal Domain Adaptation (2011) (96)
Scalable probabilistic databases with factor graphs and MCMC (2010) (95)
Advances in Web Mining and Web Usage Analysis, 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006, Philadelphia, PA, USA, August 20, 2006, Revised Papers (2007) (93)
Multilingual Relation Extraction using Compositional Universal Schema (2015) (92)
Author Disambiguation using Error-driven Machine Learning with a Ranking Loss Function (2007) (91)
Nonparametric Bayes Pachinko Allocation (2007) (90)
Instance-Based State Identification for Reinforcement Learning (1994) (90)
Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering (2019) (89)
Model Combination for Event Extraction in BioNLP 2011 (2011) (88)
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks (2019) (84)
A Hierarchical Algorithm for Extreme Clustering (2017) (84)
Organizing the OCA: learning faceted subjects from a library of digital books (2007) (82)
Improving Author Coreference by Resource-Bounded Information Gathering from the Web (2007) (82)
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders (2019) (80)
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking (2018) (80)
A Note on the Unification of Information Extraction and Data Mining using Conditional-Probability, Relational Models (2003) (77)
Group and Topic Discovery from Relations and Their Attributes (2005) (74)
Sparse Forward-Backward Using Minimum Divergence Beams for Fast Training Of Conditional Random Fields (2006) (74)
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks (2018) (72)
Corrective feedback and persistent learning for information extraction (2006) (71)
Semi-Supervised Sequence Modeling with Syntactic Topic Models (2005) (71)
Alternating Projections for Learning with Expectation Constraints (2009) (71)
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis (2007) (71)
Semi-supervised classification with hybrid generative/discriminative methods (2007) (70)
A2N: Attending to Neighbors for Knowledge Graph Inference (2019) (69)
Joint Parsing and Semantic Role Labeling (2005) (69)
Compositional Vector Space Models for Knowledge Base Inference (2015) (68)
Learning to Create Customized Authority Lists (2000) (68)
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks (2020) (67)
A Discriminative Hierarchical Model for Fast Coreference at Large Scale (2012) (66)
SampleRank: Training Factor Graphs with Atomic Gradients (2011) (64)
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension (2018) (64)
Piecewise training for structured prediction (2009) (63)
Learning Extractors from Unlabeled Text using Relevant Databases (2007) (63)
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures (2019) (61)
Unsupervised Relation Discovery with Sense Disambiguation (2012) (61)
Smoothing the Geometry of Probabilistic Box Embeddings (2018) (60)
Composition of Conditional Random Fields for Transfer Learning (2005) (60)
Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space (2019) (58)
Reducing Weight Undertraining in Structured Discriminative Learning (2006) (57)
Case-based Reasoning for Natural Language Queries over Knowledge Bases (2021) (56)
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets (2018) (55)
Dynamic Conditional Random Fields for Jointly Labeling Multiple Sequences (2003) (53)
A unified approach for schema matching, coreference and canonicalization (2008) (53)
Learning to Predict the Quality of Contributions to Wikipedia (2008) (52)
Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria (2009) (52)
Generalized Expectation Criteria (2007) (51)
An Exploration of Entity Models, Collective Classification and Relation Description (2004) (51)
Joint Group and Topic Discovery from Relations and Text (2006) (50)
Universal schema for entity type prediction (2013) (49)
Improved Dynamic Schedules for Belief Propagation (2007) (49)
An Entity Based Model for Coreference Resolution (2009) (48)
Sign detection in natural images with conditional random fields (2004) (48)
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection (2017) (47)
Gibbs Sampling for Logistic Normal Topic Models with Graph-Based Priors (2008) (47)
SampleRank : Learning Preferences from Atomic Gradients (2009) (46)
Paper Matching with Local Fairness Constraints (2019) (46)
Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema (2016) (45)
Gene Prediction with Conditional Random Fields (2005) (45)
Exploring the use of conditional random field models and HMMs for historical handwritten document recognition (2006) (44)
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types (2020) (44)
Object Consolodation by Graph Partitioning with a Conditionally›Trained Distance Metric (2003) (43)
Efficient Computation of Entropy Gradient for Semi-Supervised Conditional Random Fields (2007) (42)
Direct Maximization of Rank-Based Metrics for Information Retrieval (2005) (41)
Table extraction for answer retrieval (2006) (40)
Bi-directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor Graphs (2009) (40)
Learning Field Compatibilities to Extract Database Records from Unstructured Text (2006) (39)
Learning with Scope, with Application to Information Extraction and Classification (2002) (39)
Fast and Accurate Sequence Labeling with Iterated Dilated Convolutions (2017) (39)
Combining joint models for biomedical event extraction (2012) (39)
Instance-Based Utile Distinctions for Reinforcement Learning (1995) (39)
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models (2010) (38)
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering (2019) (37)
Unsupervised deduplication using cross-field dependencies (2008) (37)
Lightly-Supervised Attribute Extraction (2007) (36)
Mining a digital library for influential authors (2007) (36)
A Note on Topical N-grams (2005) (35)
Automatically Extracting Action Graphs from Materials Science Synthesis Procedures (2017) (35)
Using Genetic Algorithms to Learn Disjunctive Rules from Examples (1990) (34)
Using EM to Classify Text from Labeled and Unlabeled Documents (1998) (34)
People-LDA: Anchoring Topics to People using Face Recognition (2007) (34)
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning (2020) (33)
Monte Carlo MCMC: Efficient Inference by Approximate Sampling (2012) (33)
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset (2018) (32)
Feature Bagging: Preventing Weight Undertraining in Structured Discriminative Learning (2005) (30)
Dynamic Knowledge-Base Alignment for Coreference Resolution (2013) (30)
Using Transitional Proximity for Faster Reinforcement Learning (1992) (29)
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models (2020) (29)
Scalable Hierarchical Clustering with Tree Grafting (2019) (28)
Improving Local Identifiability in Probabilistic Box Embeddings (2020) (28)
Toward interactive training and evaluation (2011) (28)
Canonicalization of database records using adaptive similarity measures (2007) (27)
FACTORIE: Efficient Probabilistic Programming for Relational Factor Graphs via Imperative Declarations of Structure, Inference and Learning (2008) (27)
Open Scholarship and Peer Review: a Time for Experimentation (2013) (26)
Topic models for taxonomies (2012) (26)
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning (2006) (26)
Clustering-based Inference for Biomedical Entity Linking (2020) (25)
Selecting actions for resource-bounded information extraction using reinforcement learning (2012) (25)
Creating customized authority lists (1999) (25)
A New Dataset for Fine Grained Citation Field Extraction (Author's Manuscript) (2013) (25)
Pool-Based Active Learning for Text Classification (1999) (25)
RelNet: End-to-end Modeling of Entities & Relations (2017) (24)
Bayesian Modeling of Dependency Trees Using Hierarchical Pitman-Yor Priors (2008) (24)
Row-less Universal Schema (2016) (24)
Joint Inference for Natural Language Processing (2009) (22)
Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders (2020) (21)
Bethe Projections for Non-Local Inference (2015) (21)
Efficient Exploration in Reinforcement Learning with Hidden State (1997) (20)
Probabilistic Databases of Universal Schema (2012) (20)
A joint model for discovering and linking entities (2013) (20)
Learning and inference in weighted logic with application to natural language processing (2008) (20)
Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference (2019) (19)
Distantly Labeling Data for Large Scale Cross-Document Coreference (2010) (19)
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning (2021) (19)
Learning Soft Linear Constraints with Application to Citation Field Extraction (2014) (18)
Penn/Umass/CHOP Biocreative II systems (2007) (18)
Long Document Summarization in a Low Resource Setting using Pretrained Language Models (2021) (18)
Supervised Hierarchical Clustering with Exponential Linkage (2019) (18)
Parse, Price and Cut—Delayed Column and Row Generation for Graph Based Parsers (2012) (18)
Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches (2015) (18)
Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment (2009) (18)
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs (2022) (17)
Marginal Inference in MRFs using Frank-Wolfe (2013) (17)
Proceedings of the Ninth Conference on Computational Natural Language Learning, CoNLL 2005, Ann Arbor, Michigan, USA, June 29-30, 2005 (2005) (17)
Finer Grained Entity Typing with TypeNet (2017) (17)
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference (2019) (16)
Representing Joint Hierarchies with Box Embeddings (2020) (16)
Efficient Strategies for Improving Partitioning-Based Author Coreference by Incorporating Web Pages as Graph Nodes (2007) (16)
Efficient training methods for conditional random fields (2008) (16)
Classification Models for New Event Detection (2004) (16)
Generalized expectation criteria for lightly supervised learning (2011) (15)
Learning Dynamic Feature Selection for Fast Sequential Prediction (2015) (15)
A Simple Approach to Case-Based Reasoning in Knowledge Bases (2020) (15)
Optimal Transport-based Alignment of Learned Character Representations for String Similarity (2019) (13)
Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders (2019) (13)
Improved Representation Learning for Predicting Commonsense Ontologies (2017) (12)
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion (2020) (12)
A Discriminative Approach to Ontology Mapping (2008) (12)
Piecewise Training with Parameter Independence Diagrams: Comparing Globally- and Locally-trained Linear-chain CRFs (2004) (12)
Learning Visual Routines with Reinforcement Learning (1996) (11)
Tractable Learning and Inference with High-Order Representations (2006) (11)
Practical Markov Logic Containing First-Order Quantifiers with Application to Identity Uncertainty (2006) (11)
Inference and Learning in Large Factor Graphs with Adaptive Proposal Distributions and a Rank-based Objective (2009) (11)
Scalable Hierarchical Agglomerative Clustering (2020) (11)
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29 - July 2, 2000 (2000) (11)
An Online Hierarchical Algorithm for Extreme Clustering (2017) (11)
Modeling Career Path Trajectories (2008) (11)
Attending to All Mention Pairs for Full Abstract Biological Relation Extraction (2017) (11)
A Machine Learning Approach to Building Domain-Speci c Search Engines (1999) (11)
Pachinko Allocation: Scalable Mixture Models of Topic Correlations (2008) (11)
Resource-Bounded Information Gathering for Correlation Clustering (2007) (10)
A Conditional Model of Deduplication for Multi-Type Relational Data (2005) (10)
Fast, Piecewise Training for Discriminative Finite-state and Parsing Models (2005) (10)
Using error decay prediction to overcome practical issues of deep active learning for named entity recognition (2019) (10)
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema (2016) (10)
Distributed MAP Inference for Undirected Graphical Models (2010) (10)
Correlations and Anticorrelations in LDA Inference (2011) (10)
Entity Linking and Discovery via Arborescence-based Supervised Clustering (2021) (10)
Conditional Probabilistic Context-Free Grammars (2004) (10)
Constraint-Driven Rank-Based Learning for Information Extraction (2010) (9)
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings (2022) (9)
MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network (2021) (9)
Building Domain-Speci c Search Engines with Machine Learning Techniques (1999) (9)
Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings (2018) (9)
A Note on Semi-Supervised Learning using Markov Random Fields (2004) (9)
CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example (2021) (9)
Community-based Link Prediction with Text (2007) (9)
A Continuous-Time Model of Topic Co-occurrence Trends (2006) (9)
Cryptogram decoding for optical character recognition (2006) (8)
Information extraction, data mining and joint inference (2006) (8)
Leveraging Existing Resources using Generalized Expectation Criteria (2007) (8)
Reducing Annotation Effort Using Generalized Expectation Criteria (2007) (8)
Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning (2017) (8)
Unsupervised Pre-training for Biomedical Question Answering (2020) (8)
Advances in Web Mining and Web Usage Analysis, 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007. Revised Papers (2009) (8)
Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013 (2013) (8)
Compact Representation of Uncertainty in Clustering (2018) (8)
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL? (2018) (7)
Machine Translation Using Overlapping Alignments and SampleRank (2010) (7)
Changing the Mind of Transformers for Topically-Controllable Language Generation (2021) (7)
Assessing confidence of knowledge base content with an experimental study in entity resolution (2013) (7)
Gradient-based Hierarchical Clustering (2017) (7)
Generalized component analysis for text with heterogeneous attributes (2007) (7)
Using BibTeX to Automatically Generate Labeled Data for Citation Field Extraction (2020) (7)
Cryptogram Decoding for OCR Using Numerization Strings (2007) (7)
Domain Specific Knowledge Base Construction via Crowdsourcing (2014) (6)
Knowledge Informed Semantic Parsing for Conversational Question Answering (2021) (6)
Dependency Parsing with Dilated Iterated Graph CNNs (2017) (6)
Low resource recognition and linking of biomedical concepts from a large ontology (2021) (6)
Topic regression (2011) (6)
Structured topic models: jointly modeling words and their accompanying modalities (2009) (6)
Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision (2019) (6)
MAP Inference in Chains using Column Generation (2012) (6)
Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering (2020) (6)
Unsupervised Hypernym Detection by Distributional Inclusion Vector Embedding (2017) (6)
Roll Call Vote Prediction with Knowledge Augmented Models (2019) (6)
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP (2021) (6)
Incorporating Selectional Preferences in Multi-hop Relation Extraction (2016) (6)
Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand (2010) (6)
Probabilistic Reasoning about Human Edits in Information Integration (2013) (6)
Training Structured Prediction Energy Networks with Indirect Supervision (2018) (6)
Integrating User Feedback under Identity Uncertainty in Knowledge Base Construction (2019) (5)
Search-Guided, Lightly-supervised Training of Structured Prediction Energy Networks (2018) (5)
Scalable Bottom-Up Hierarchical Clustering (2020) (5)
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications (2021) (5)
MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text (2021) (5)
Cora: Computer science research paper search engine (2000) (5)
Monte Carlo MCMC: Efficient Inference by Sampling Factors (2012) (5)
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference (2009) (5)
Large-scale author coreference via hierarchical entity representations (2013) (5)
Advances in Learning and Inference for Partition-wise Models of Coreference Resolution (2009) (5)
Learning String Alignments for Entity Aliases (2017) (5)
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs (2021) (5)
Inter-Event Dependencies support Event Extraction from Biomedical Literature (2011) (5)
Sparse Message Passing Algorithms for Weighted Maximum Satisfiability (2007) (5)
Towards Asynchronous Distributed MCMC Inference for Large Graphical Models (2011) (5)
DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions (2021) (4)
Chinese Word Segmentation with Conditional Random Fields and Integrated Domain Knowledge (2003) (4)
Optimization and Learning in F ACTORIE (2014) (4)
Embedded-State Latent Conditional Random Fields for Sequence Labeling (2018) (4)
Message Passing for Soft Constraint Dual Decomposition (2014) (4)
Multi-Conditional Learning for Joint Probability Models with Latent Variables (2006) (4)
Box-To-Box Transformations for Modeling Joint Hierarchies (2021) (4)
Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings (2021) (4)
Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition (2019) (4)
Knowledge Base Completion using Compositional Vector Space Models (2014) (4)
1 Semi-Supervised Text Classification Using EM (2006) (4)
Constrained Kronecker Deltas for Fast Approximate Inference and Estimation (2005) (4)
Sublinear Time Approximation of Text Similarity Matrices (2021) (3)
Min/max stability and box distributions (2021) (3)
Proceedings of the Twenty-First Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-05) (2005) (3)
Clustering-based Inference for Zero-Shot Biomedical Entity Linking (2020) (3)
An Interface for Annotating Science Questions (2018) (3)
MAP inference in Large Factor Graphs with Reinforcement Learning (2008) (3)
Box Embeddings: An open-source library for representation learning using geometric structures (2021) (3)
Entity-centric Attribute Feedback for Interactive Knowledge Bases (2017) (3)
Call for Discussion: Building a New Standard Dataset for Relation Extraction Tasks (2016) (3)
You can't pick your neighbors, or can you? When and how to rely on retrieval in the $k$NN-LM (2022) (3)
Human-machine cooperation with epistemological DBs: supporting user corrections to knowledge bases (2012) (3)
Augmenting Scientific Creativity with Retrieval across Knowledge Domains (2022) (3)
Inducing and Using Alignments for Transition-based AMR Parsing (2022) (3)
Word2Box: Learning Word Representation Using Box Embeddings (2021) (3)
Fast Inference and Learning with Sparse Belief Propagation (2005) (3)
Event and Entity Coreference using Trees to Encode Uncertainty in Joint Decisions (2021) (3)
Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations (2021) (2)
NIPS Workshop on Learning with Structured Outputs (2004) (2)
Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions (2022) (2)
A Probabilistic Model for Topic and Role Discovery in Social Networks and Message Text (2)
Improved Latent Tree Induction with Distant Supervision via Span Constraints (2021) (2)
NIPS Workshop on Syntax, Semantics, and Statistics (2003) (2)
WebKDD/SNAKDD 2007: web mining and social network analysis post-workshop report (2007) (2)
Probabilistic Representations for Integrating Unreliable Data Sources (2007) (2)
CC Prediction with Graphical Models (2017) (2)
Human-Machine Cooperation: Supporting User Corrections to Automatically Constructed KBs (2012) (2)
Latent Relation Representations for Universal Schemas (2013) (2)
Probabilistic Case-based Reasoning in Knowledge Bases (2020) (2)
Sparse Forward-Backward for Fast Training of Conditional Random Fields (2006) (2)
Reports of the 2013 AAAI Spring Symposium Series (2013) (2)
Predicting Chemical Protein Relations with Biaffine Relation Attention Networks (2017) (2)
InterNano: e-Science for the Nanomanufacturing Community (2008) (2)
A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes (2022) (2)
Exact and Approximate Hierarchical Clustering Using A (2021) (2)
Anytime Belief Propagation Using Sparse Domains (2013) (2)
Proceedings of the Workshop on Computationally Hard Problems and Joint Inference in Speech and Language Processing (2006) (2)
Transfer Learning for Enhancing Information Flow in Organizations and Social Networks (2007) (2)
Inducing Value Sparsity for Parallel Inference in Tree-shaped Models (2011) (2)
Compact Representation of Uncertainty in Hierarchical Clustering (2020) (2)
Proceedings, Twenty-fifth International Conference on Machine Learning (2008) (2)
Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (2005) (1)
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization (2022) (1)
Resource-bounded information acquisition and learning (2012) (1)
Integrating Web-Scale OpenIE Extractions and Knowledge Bases with Entity Neighborhood Encoder (2019) (1)
Combining joint models for biomedical event extraction (2012) (1)
An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text (2020) (1)
Inference by Minimizing Size, Divergence, or their Sum (2010) (1)
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling (2022) (1)
DAG-Structured Clustering by Nearest Neighbors (2021) (1)
Unsupervised Coreference of Publication Venues (2007) (1)
CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases (2022) (1)
The Joint Ninth WEBKDD and 1st SNA-KDD Workshop on Web Mining and Social Network Analysis (2007) (1)
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings (2022) (1)
Data-Dependent Spatial Context for Computer Vision with Conditional Markov Fields (2005) (1)
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity (2022) (1)
Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning (2022) (1)
Undirected and Interpretable Continuous Topic Models of Documents (2007) (1)
Learning to Select Actions for Resource-bounded Information Extraction (2011) (1)
Embedded Representations of Lexical and Knowledge-Base Semantics (2015) (1)
Event-Event Relation Extraction using Probabilistic Box Embedding (2022) (1)
Multi-facet Universal Schema (2021) (1)
Speeding up MAP with Column Generation and Block Regularization (2012) (1)
Exact Inference on Hierarchical Clustering in Particle Physics and Cancer Genomics (2020) (0)
Constraint-Driven Training of Complex Models Using MCMC (2012) (0)
JOINT PROBABILISTIC REASONING ABOUT COREFERENCE AND RELATIONS OF UNIVERSAL SCHEMA UNIVERSITY OF MASSACHUSETTS AMHERST OCTOBER 2017 FINAL TECHNICAL REPORT APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITED (2017) (0)
You can't pick your neighbors, or can you? When and how to rely on retrieval in the kNN-LM (2022) (0)
ACL-05 Feature Engineering for Machine Learning in Natural Language Processing (2005) (0)
Towards Theoretical Bounds for Resource-bounded Information Gathering for Correlation Clustering (2009) (0)
BIBTEX-based dataset generation for training citation parsers (2019) (0)
Edinburgh Research Explorer Reducing Weight Undertraining in Structured Discriminative Learning (2018) (0)
Using EM to Classify Text from Labeledand Unlabeled DocumentsKamal (1998) (0)
Shared Task Organizing Committee -transliteration Mining: Whitepaper of News 2010 Shared Task on Transliteration Generation Transliteration Generation and Mining with Limited Training Resources Transliteration Using a Phrase-based Statistical Machine Translation System to Re-score the Output of a Jo (2010) (0)
e-Science for the Nanomanufacturing Community (2008) (0)
Learning Conditionally Calibrated Equations of State for Direct Fired sCO2 Cycles with Deep Neural Networks (2018) (0)
Low-Resource Compositional Semantic Parsing with Concept Pretraining (2023) (0)
Machine Learning for Sequences and Structured Data : Tools for Non-Experts (2004) (0)
Learning to Speed Up MAP Decoding with Column Generation (2012) (0)
Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling (2017) (0)
A Survey of Automatic Extraction of Personal Name Alias from the Web (2015) (0)
Adaptive Selection of Anchor Items for CUR-based k-NN search with Cross-Encoders (2023) (0)
Network Analysis Social Extraction Keyword names CRF Contact and Information Extraction Email Extraction Person (2018) (0)
Edinburgh Research Explorer Piecewise training for structured prediction (2009) (0)
Discovering Issue-Based Voting Groups within the US Senate (2010) (0)
Minimally Supervised Event Argument Extraction using Universal Schema (2014) (0)
Supercritical CO 2 Power Cycles Learning Conditionally Calibrated Equations of State for Direct Fired sCO 2 Cycles with Deep Neural Networks (2018) (0)
Matching with Local Fairness Constraints (2019) (0)
Learning Task-Relevant State Spaces with a Utile Distinction Test (2007) (0)
Unsupervised Partial Sentence Matching for Cited Text Identification (2022) (0)
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining (2023) (0)
Enhanced Distant Supervision with State-Change Information for Relation Extraction (2022) (0)
On Discriminative and Semi-Supervised Dimensionality Reduction (2006) (0)
Faust: Flexible Acquistion and Understanding System for Text (2013) (0)
Explorer Improved Dynamic Schedules for Belief Propagation (2009) (0)
Entity Linking via Explicit Mention-Mention Coreference Modeling (2022) (0)
PENGEMBANGAN PAPER CITATION EXTRACTION BAHASA INDONESIA BERBASIS PARSCIT (2013) (0)
Exact and Approximate Hierarchical Clustering Using A*: Supplementary Material (2021) (0)
Anchor Text Extraction for Academic Search Accurate Argumentative Zoning with Maximum Entropy Models Classification of Research Papers into a Patent Classification System Using Two Translation Models Detecting Key Sentences for Automatic Assistance in Peer Reviewing Research Articles in Educational (2009) (0)
Report on the NSF-sponsored Human Language Technology Workshop on Industrial Centers (2007) (0)
Scaling up Structured Multi-Label Prediction using Discriminative Mean Field Networks (2015) (0)
Joint Probabilistic Reasoning About Coreference and Relations of Univeral Schema (2017) (0)
Reducin gLabelin gEffor tfo rStructure dPrediction Tasks (2005) (0)
Synthesis Insights from Scienti fi c Literature via Text Extraction and Machine Learning (2017) (0)
Predictive Random Fields : Latent Variable Models Fit by Multiway Conditional Probability with Applications to Document Analysis (2005) (0)
Learning Multi-facet Embeddings of Phrases and Sentences using Sparse Coding for Unsupervised Semantic Applications (2019) (0)
Edinburgh Research Explorer Joint Parsing and Semantic Role Labeling (2018) (0)
Randomized SPENs for Multi-Modal Prediction (2017) (0)
From the journals … (2007) (0)
M ODELING L ABEL S PACE I NTERACTIONS IN M ULTI LABEL C LASSIFICATION USING B OX E MBEDDINGS (2022) (0)
Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008 (2008) (0)
Discriminative fields for modeling spatial dependen-cies in natural images (2001) (0)
Ecient Web Spidering with Reinforcement Learning (1999) (0)
Inferring gene annotations in Gene Ontology from gene expression data (2006) (0)
From the SelectedWorks of Andrew McCallum 2009 Active Learning by Labeling Features (2017) (0)
Edinburgh Research Explorer Sparse Forward-Backward Using Minimum Divergence Beams for Fast Training Of Conditional Random Fields (2006) (0)
Predicting Institution Hierarchies with Set-based Models (2020) (0)
Editable User Profiles for Controllable Text Recommendation (2023) (0)
Longtonotes: OntoNotes with Longer Coreference Chains (2022) (0)
Estimation for Information Extraction (2017) (0)
Learning Clusterwise Similarity with First-Order Features (2003) (0)
to Extract Database Records from Unstructured Text (2006) (0)
Training for Fast Sequential Prediction Using Dynamic Feature Selection (2014) (0)

This paper list is powered by the following services:

Other Resources About Andrew McCallum

en.wikipedia.org

What Schools Are Affiliated With Andrew McCallum?

Andrew McCallum is affiliated with the following schools:

Andrew McCallum's Academic­Influence.com Rankings

Why Is Andrew McCallum Influential?

Andrew McCallum's Published Works

Published Works

Other Resources About Andrew McCallum

What Schools Are Affiliated With Andrew McCallum?

Andrew McCallum's AcademicInfluence.com Rankings