Raymond J. Mooney
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American computer scientist
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Raymond J. Mooneycomputer-science Degrees
Computer Science
#1618
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#1673
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#790
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Machine Learning
#198
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#201
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#51
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Computational Linguistics
#201
World Rank
#205
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#20
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Artificial Intelligence
#385
World Rank
#392
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#135
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Computer Science
Raymond J. Mooney's Degrees
- PhD Computer Science Stanford University
- Masters Computer Science Stanford University
- Bachelors Computer Science Stanford University
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Why Is Raymond J. Mooney Influential?
(Suggest an Edit or Addition)According to Wikipedia, Raymond J. Mooney is an American computer scientist, professor of computer science, and director of the Artificial Intelligence laboratory at the University of Texas at Austin. His research focuses on machine learning and natural language processing.
Raymond J. Mooney'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
- Content-based book recommending using learning for text categorization (1999) (1582)
- Content-boosted collaborative filtering for improved recommendations (2002) (1366)
- Sequence to Sequence -- Video to Text (2015) (1220)
- Adaptive duplicate detection using learnable string similarity measures (2003) (1073)
- A Shortest Path Dependency Kernel for Relation Extraction (2005) (995)
- Semi-supervised Clustering by Seeding (2002) (961)
- Integrating constraints and metric learning in semi-supervised clustering (2004) (942)
- A probabilistic framework for semi-supervised clustering (2004) (861)
- Impact of Similarity Measures on Web-page Clustering (2000) (840)
- Learning to Parse Database Queries Using Inductive Logic Programming (1996) (712)
- Relational Learning of Pattern-Match Rules for Information Extraction (1999) (712)
- Submitted for Publication (1969) (695)
- Active Semi-Supervision for Pairwise Constrained Clustering (2004) (621)
- Adaptive Name Matching in Information Integration (2003) (559)
- Subsequence Kernels for Relation Extraction (2005) (549)
- Semi-supervised graph clustering: a kernel approach (2005) (520)
- Learning to Interpret Natural Language Navigation Instructions from Observations (2011) (494)
- YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition (2013) (447)
- Comparative experiments on learning information extractors for proteins and their interactions (2005) (440)
- Multi-Prototype Vector-Space Models of Word Meaning (2010) (409)
- Active Learning for Natural Language Parsing and Information Extraction (1999) (391)
- Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus (2007) (366)
- Diverse ensembles for active learning (2004) (363)
- Mining knowledge from text using information extraction (2005) (338)
- Mapping and Revising Markov Logic Networks for Transfer Learning (2007) (319)
- Learning to Extract Relations from the Web using Minimal Supervision (2007) (312)
- Learning for Semantic Parsing with Statistical Machine Translation (2006) (308)
- Constructing Diverse Classifier Ensembles using Artificial Training Examples (2003) (306)
- Creating diversity in ensembles using artificial data (2005) (294)
- Explaining Recommendations: Satisfaction vs. Promotion (2005) (283)
- Adaptive Blocking: Learning to Scale Up Record Linkage (2006) (279)
- Using String-Kernels for Learning Semantic Parsers (2006) (274)
- Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing (2001) (273)
- Consolidating the set of known human protein-protein interactions in preparation for large-scale mapping of the human interactome (2005) (269)
- Text mining with information extraction (2004) (263)
- Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data (2015) (259)
- Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning (1996) (258)
- Explanation-based learning: An alternative view (2004) (255)
- Learning to sportscast: a test of grounded language acquisition (2008) (251)
- Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction (2003) (241)
- Learning to Transform Natural to Formal Languages (2005) (233)
- Model-based overlapping clustering (2005) (228)
- Changing the Rules: A Comprehensive Approach to Theory Refinement (1990) (221)
- Theory Refinement Combining Analytical and Empirical Methods (1994) (220)
- Generating Natural-Language Video Descriptions Using Text-Mined Knowledge (2013) (213)
- Multiple instance learning for sparse positive bags (2007) (210)
- Induction of First-Order Decision Lists: Results on Learning the Past Tense of English Verbs (1995) (205)
- A Statistical Semantic Parser that Integrates Syntax and Semantics (2005) (205)
- Translating Videos to Natural Language Using Deep Recurrent Neural Networks (2014) (204)
- Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild (2014) (198)
- Bottom-up learning of Markov logic network structure (2007) (188)
- An Experimental Comparison of Symbolic and Connectionist Learning Algorithms (1989) (180)
- Learning Relations by Pathfinding (1992) (170)
- Learning to Interpret Natural Language Commands through Human-Robot Dialog (2015) (160)
- Collective Information Extraction with Relational Markov Networks (2004) (157)
- Captioning Images with Diverse Objects (2016) (155)
- Learning Semantic Grammars with Constructive Inductive Logic Programming (1993) (150)
- Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes (2015) (149)
- Learning Statistical Scripts with LSTM Recurrent Neural Networks (2016) (149)
- Symbolic and neural learning algorithms: An experimental comparison (2004) (142)
- Schema acquisition from a single example (1992) (134)
- Statistical Script Learning with Multi-Argument Events (2014) (128)
- A Domain Independent Explanation-Based Generalizer (1986) (127)
- Discriminative structure and parameter learning for Markov logic networks (2008) (121)
- Explanation-Based Learning: An Alternative View (1986) (120)
- A Mutually Beneficial Integration of Data Mining and Information Extraction (2000) (118)
- Learning Schemata for Natural Language Processing (1985) (117)
- Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language (2014) (114)
- Automated refinement of first-order horn-clause domain theories (2005) (113)
- Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text (2016) (113)
- An Overview of Empirical Natural Language Processing (1997) (111)
- Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation (2007) (109)
- Learning to Predict Readability using Diverse Linguistic Features (2010) (107)
- On the Role of Coherence in Abductive Explanation (1990) (106)
- Spherical Topic Models (2010) (103)
- Active feature-value acquisition for classifier induction (2004) (102)
- BWIBots: A platform for bridging the gap between AI and human–robot interaction research (2017) (101)
- Automated Construction of Database Interfaces: Intergrating Statistical and Relational Learning for Semantic Parsing (2000) (97)
- Authorship Attribution Using Probabilistic Context-Free Grammars (2010) (96)
- Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy" (2016) (96)
- First-Order Theory Revision (1991) (95)
- Experiments on Ensembles with Missing and Noisy Data (2004) (94)
- Learning Parse and Translation Decisions from Examples with Rich Context (1997) (94)
- Using Natural Language for Reward Shaping in Reinforcement Learning (2019) (92)
- Comparing and Unifying Search-Based and Similarity-Based Approaches to Semi-Supervised Clustering (2003) (91)
- Learning to Connect Language and Perception (2008) (89)
- Joint Entity and Relation Extraction Using Card-Pyramid Parsing (2010) (89)
- A general explanation-based learning mechanism and its application to narrative understanding (1990) (87)
- Learning for Semantic Parsing (2009) (87)
- Symbolic and Neural Learning Algorithms: An Experimental Comparison (1991) (85)
- Montague Meets Markov: Deep Semantics with Probabilistic Logical Form (2013) (85)
- Self-Critical Reasoning for Robust Visual Question Answering (2019) (85)
- Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision (2010) (84)
- Transfer Learning by Mapping with Minimal Target Data (2008) (83)
- Learning to Combine Trained Distance Metrics for Duplicate Detection in Databases (2002) (83)
- Max-Margin Weight Learning for Markov Logic Networks (2009) (81)
- Acquiring Word-Meaning Mappings for Natural Language Interfaces (2011) (81)
- Refinement-based student modeling and automated bug library construction (1996) (80)
- Learning Language Semantics from Ambiguous Supervision (2007) (79)
- An expected utility approach to active feature-value acquisition (2005) (78)
- Evaluating the novelty of text-mined rules using lexical knowledge (2001) (77)
- Semi-supervised clustering: probabilistic models, algorithms and experiments (2005) (75)
- Inductive Logic Programming for Natural Language Processing (1996) (73)
- Active Learning for Probability Estimation Using Jensen-Shannon Divergence (2005) (70)
- Combining Connectionist and Symbolic Learning to Refine Certainty Factor Rule Bases (1993) (70)
- Combining Top-down and Bottom-up Techniques in Inductive Logic Programming (1994) (69)
- Relational Data Mining with Inductive Logic Programming for Link Discovery (2002) (68)
- Probabilistic Semi-Supervised Clustering with Constraints (2006) (67)
- Integrating Logical Representations with Probabilistic Information using Markov Logic (2011) (65)
- Using Sentence-Level LSTM Language Models for Script Inference (2016) (64)
- Integrating Abduction and Induction in Machine Learning (2000) (64)
- Transfer Learning from Minimal Target Data by Mapping across Relational Domains (2009) (64)
- Abductive Markov Logic for Plan Recognition (2011) (64)
- The Effect of Rule Use on the Utility of Explanation-Based Learning (1989) (62)
- Inducing Deterministic Prolog Parsers from Treebanks: A Machine Learning Approach (1994) (61)
- Combining FOIL and EBG to Speed-up Logic Programs (1993) (61)
- Abductive Plan Recognition and Diagnosis: A Comprehensive Empirical Evaluation (1992) (60)
- Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision (2012) (59)
- Discriminative Reranking for Semantic Parsing (2006) (59)
- Learning a Compositional Semantic Parser using an Existing Syntactic Parser (2009) (57)
- Integrating Co-occurrence Statistics with Information Extraction for Robust Retrieval of Protein Interactions from Medline (2006) (57)
- Improving Grounded Natural Language Understanding through Human-Robot Dialog (2018) (55)
- A Novel Application of Theory Refinement to Student Modeling (1996) (55)
- Probabilistic Soft Logic for Semantic Textual Similarity (2014) (55)
- Faithful Multimodal Explanation for Visual Question Answering (2018) (55)
- Representing Meaning with a Combination of Logical and Distributional Models (2015) (54)
- Symbolic Revision of Theories with M-of-N Rules (1993) (52)
- Induction Over the Unexplained: Integrated Learning of Concepts with Both Explainable and Conventional Aspects (1989) (52)
- A Multistrategy Approach to Theory Refinement (1997) (51)
- Towards Self-Configuring Hardware for Distributed Computer Systems (2005) (50)
- Learning to Disambiguate Search Queries from Short Sessions (2009) (49)
- Improving Video Activity Recognition using Object Recognition and Text Mining (2012) (48)
- Mining Soft-Matching Rules from Textual Data (2001) (48)
- Automated Refinement of First-Order Horn-Clause Domain Theories (1995) (48)
- Multi-Strategy Learning of Search Control for Partial-Order Planning (1996) (47)
- Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing (2005) (47)
- Opportunistic Active Learning for Grounding Natural Language Descriptions (2017) (47)
- Learning to Improve both Efficiency and Quality of Planning (1997) (45)
- A Mixture Model with Sharing for Lexical Semantics (2010) (45)
- Watch, Listen & Learn: Co-training on Captioned Images and Videos (2008) (45)
- Automatic Construction of Semantic Lexicons for Learning Natural Language Interfaces (1999) (44)
- Learning to Update Natural Language Comments Based on Code Changes (2020) (43)
- Do Human Rationales Improve Machine Explanations? (2019) (43)
- Economical active feature-value acquisition through Expected Utility estimation (2005) (42)
- Employing Trainable String Similarity Metrics for Information Integration (2003) (41)
- Theory Refinement of Bayesian Networks with Hidden Variables (1998) (40)
- Semi-Supervised Learning for Semantic Parsing using Support Vector Machines (2007) (40)
- Extracting Relations from Text: From Word Sequences to Dependency Paths (2007) (40)
- Generating Animated Videos of Human Activities from Natural Language Descriptions (2018) (40)
- Stacked Ensembles of Information Extractors for Knowledge-Base Population (2015) (38)
- Generalizing the Order of Operators in Macro-Operators (1988) (38)
- Active Multitask Learning Using Both Latent and Supervised Shared Topics (2014) (38)
- Schema Acquisition from One Example: Psychological Evidence for Explanation-Based Learning. (1987) (38)
- A Preliminary PAC Analysis of Theory Revision (1995) (37)
- Bayesian Abductive Logic Programs (2010) (37)
- Online Max-Margin Weight Learning with Markov Logic Networks (2011) (37)
- Relational learning techniques for natural language information extraction (1998) (37)
- Learning Plan Schemata From Observation: Explanation-Based Learning for Plan Recognition (1990) (36)
- Adapting Discriminative Reranking to Grounded Language Learning (2013) (36)
- Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog (2020) (36)
- Inductive Learning For Abductive Diagnosis (1994) (36)
- Plan, Activity, and Intent Recognition: Theory and Practice (2014) (36)
- Guest Editors' Introduction: Machine Learning and Natural Language (1999) (35)
- Implementing Weighted Abduction in Markov Logic (2011) (35)
- Generating Question Relevant Captions to Aid Visual Question Answering (2019) (34)
- Learning to Extract Proteins and their Interactions from Medline Abstracts (2003) (34)
- Online Structure Learning for Markov Logic Networks (2011) (34)
- Combining Bias and Variance Reduction Techniques for Regression Trees (2005) (33)
- Learnable similarity functions and their application to record linkage and clustering (2006) (31)
- Combining Neural and Symbolic Learning to Revise Probabilistic Rule Bases (1992) (30)
- Comparing Methods for Refining Certainty-Factor Rule-Bases (1994) (28)
- Using Closed Captions as Supervision for Video Activity Recognition (2010) (28)
- An Efficient First-Order Horn-Clause Abduction System Based on the ATMS (1991) (28)
- Integrated Learning of Words and Their Underlying Concepts (1987) (28)
- Using Active Relocation to Aid Reinforcement Learning (2006) (27)
- Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions (2018) (27)
- Integrating top-down and bottom-up approaches in inductive logic programming: applications in natural language processing and relational data mining (2003) (27)
- A Formal Approach to Linking Logical Form and Vector-Space Lexical Semantics (2014) (25)
- Learning for information extraction: from named entity recognition and disambiguation to relation extraction (2007) (25)
- Dialog for Language to Code (2017) (25)
- Learning Semantic Parsers: An Important but Under-Studied Problem (2004) (24)
- Statistical Script Learning with Recurrent Neural Networks (2016) (24)
- PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards (2020) (23)
- Learning to “Read Between the Lines” using Bayesian Logic Programs (2012) (23)
- Integrated Learning of Dialog Strategies and Semantic Parsing (2017) (23)
- Semantic Parsing using Distributional Semantics and Probabilistic Logic (2014) (23)
- Constructive Induction in Theory Refinement (1991) (23)
- UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic (2014) (22)
- Learning the past tense of English verbs using inductive logic programming (1995) (22)
- Semantic Lexicon Acquisition for Learning Natural Language Interfaces (1998) (22)
- Learning for Semantic Interpretation: Scaling Up without Dumbing Down (2001) (21)
- Inducing logic programs without explicit negative examples (1995) (21)
- Mining soft-matching association rules (2002) (20)
- Learning for semantic parsing and natural language generation using statistical machine translation techniques (2007) (19)
- Improving Black-box Speech Recognition using Semantic Parsing (2017) (18)
- Comparative results on using inductive logic programming for corpus-based parser construction (1995) (18)
- Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes (1995) (18)
- Efficient Markov Logic Inference for Natural Language Semantics (2014) (18)
- Representing Meaning with a Combination of Logical Form and Vectors (2015) (17)
- Extracting gene and protein names from biomedical abstracts (2002) (17)
- TellMeWhy: A Dataset for Answering Why-Questions in Narratives (2021) (17)
- Creating diverse ensemble classifiers to reduce supervision (2005) (17)
- Learning a Policy for Opportunistic Active Learning (2018) (17)
- Integrating Theory and Data in Category Learning (1993) (17)
- Associating Natural Language Comment and Source Code Entities (2019) (16)
- Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013 (2013) (16)
- Abductive Plan Recognition by Extending Bayesian Logic Programs (2011) (16)
- Encouraging experimental results on learning CNF (1995) (16)
- Improving Shared Rules in Multiple Category Domain Theories (1991) (15)
- Using closed captions to train activity recognizers that improve video retrieval (2009) (15)
- Leveraging Discourse Information Effectively for Authorship Attribution (2017) (15)
- Deep Just-In-Time Inconsistency Detection Between Comments and Source Code (2020) (15)
- Combining symbolic and connectionist learning methods to refine certainty-factor rule-bases (1996) (15)
- Theory Refinement with Noisy Data (1991) (14)
- Systematic Generalization on gSCAN with Language Conditioned Embedding (2020) (14)
- Stacking With Auxiliary Features (2016) (14)
- Stacking with Auxiliary Features for Visual Question Answering (2018) (14)
- Generalizing explanations of narratives into schemata (1986) (14)
- Processing Issues in Comparisons of Symbolic and Connectionist Learning Systems (1989) (14)
- Improving VQA and its Explanations by Comparing Competing Explanations (2020) (13)
- Encouraging Experimental Results on Learning CNF (2004) (13)
- Using Theory Revision to Model Students and Acquire Stereotypical Errors (1992) (13)
- Online Inference-Rule Learning from Natural-Language Extractions (2013) (12)
- Natural Language Processing and Program Analysis for Supporting Todo Comments as Software Evolves (2018) (12)
- Guiding Interaction Behaviors for Multi-modal Grounded Language Learning (2017) (12)
- Joint Image Captioning and Question Answering (2018) (12)
- Fast and Effective Worm Fingerprinting via Machine Learning (2006) (12)
- Using Soft-Matching Mined Rules to Improve Information Extraction (2004) (11)
- Using Biomedical Literature Mining to Consolidate the Set of Known Human Protein-Protein Interactions (2005) (11)
- Integrating ILP and EBL (1994) (11)
- A framework for writing trigger-action todo comments in executable format (2019) (11)
- Hybrid learning of search control for partial-order planning (1996) (11)
- Combining Supervised and Unsupervised Enembles for Knowledge Base Population (2016) (11)
- Learning Language from Perceptual Context: A Challenge Problem for AI (2006) (11)
- Initializing ID5R with a Domain Theory: Some Negative Results (1991) (11)
- Extending Theory Refinement to M-of-N Rules (1993) (10)
- Detecting Promotional Content in Wikipedia (2013) (10)
- An Efficient First-Order Abduction System Based on the ATMS (1991) (10)
- An Experimental Comparison of Genetic Programming and Inductive LogicProgramming on Learning Recursive List Functions (1998) (9)
- Panning for gold: finding relevant semantic content for grounded language learning (2011) (9)
- Cross-Cutting Models of Lexical Semantics (2011) (8)
- University of Texas at Austin KBP 2013 Slot Filling System: Bayesian Logic Programs for Textual Inference (2013) (8)
- Induction over the unexplained: Using overly-general domain theories to aid concept learning (2004) (8)
- Multi-Modal Word Synset Induction (2017) (8)
- Induction Over the Unexplained: Using Overly-General Domain Theories to Aid Concept Learning (2004) (8)
- Impact of Evaluation Methodologies on Code Summarization (2021) (8)
- Learning Language from Its Perceptual Context (2011) (7)
- Batch versus Incremental Theory Refinement (1992) (7)
- Active Feature Acquisition for Classifier Induction (2010) (6)
- Abductive Explanation in Text Understanding: Some Problems and Solutions (1989) (6)
- Automated Debugging of Logic Programs via Theory Revision (1992) (6)
- Zero-shot Task Adaptation using Natural Language (2021) (6)
- Using Both Latent and Supervised Shared Topics for Multitask Learning (2013) (6)
- Dialog Policy Learning for Joint Clarification and Active Learning Queries (2020) (5)
- Learning for semantic parsing with kernels under various forms of supervision (2007) (5)
- de of Coherence lanation (1990) (5)
- Optimal Use of Verbal Instructions for Multi-robot Human Navigation Guidance (2019) (5)
- Learning Transformation Rules for Semantic Parsing (2004) (5)
- Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps (2019) (5)
- Learning Language from Perceptual Context (2012) (4)
- Active Multitask Learning using Supervised and Shared Latent Topics (2017) (4)
- Explanation-based learning as concept formation (1991) (4)
- Using multi-strategy learning techniques to improve planning efficiency and quality (1998) (4)
- Theory Re nement for Bayesian Networks with Hidden Variables (1998) (4)
- Learning to Generate Code Comments from Class Hierarchies (2021) (4)
- Induction Over the Unexplained: A New Approach to Combining Empirical andExplanation-Based Learning (1989) (3)
- Combining Empirical and Explanation-based Learning. Section of Incremental Version Space Merging: a General Framework for Concept (1992) (3)
- Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence. (2018) (3)
- 3 Probabilistic Semi-Supervised Clustering with Constraints (2006) (3)
- Learning Deep Semantics for Test Completion (2023) (3)
- Combining Empirical and Explanation-based Learning. Section of Incremental Version Space Merging: a General Framework for Concept (1992) (3)
- Chapter 3 – Plan Recognition Using Statistical–Relational Models (2014) (3)
- Learning with markov logic networks: transfer learning, structure learning, and an application to web query disambiguation (2009) (3)
- Property-Based Feature Engineering and Selection (2002) (3)
- Ensembling Visual Explanations (2018) (3)
- A Domain Independent Explanation-Based Generalizer. Revision (1986) (3)
- Learning Semantic Grammars with Constructive nduct ive ogic (1993) (3)
- Appears in Proceedings of the SIGIR-2001 Workshop on Recommender Systems , New Orleans , LA , September 2001 Content-Boosted Collaborative Filtering (2001) (3)
- A General Explanation-Based Learning Mechanism and Its Application toNarrative Understanding (PhD dissertation) (1988) (3)
- Supervised and Unsupervised Ensembling for Knowledge Base Population (2016) (3)
- Structure Learning for Markov Logic Networks (2018) (3)
- Markov Logic Network for Information Extraction (2008) (2)
- Dialog as a Vehicle for Lifelong Learning (2020) (2)
- Explanation generalization in EGGS (1993) (2)
- Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering (2022) (2)
- Automated knowledge-base refinement (1994) (2)
- An overview of empirical natural language processing . ( Natural Language Processing ) (2004) (2)
- Learning to Describe Solutions for Bug Reports Based on Developer Discussions (2021) (2)
- Changing the Rules: A Comprehensive pproach to T nernent* (1990) (2)
- Leveraging Class Hierarchy for Code Comprehension (2020) (2)
- Text Mining (2008) (1)
- Preface: General Chair (2005) (1)
- Special Issue in the Journal Artificial Intelligence in Medicine on Summarization and Information Extraction from Medical Documents, Comparative Experiments on Learning Information Extractors for Proteins and their Interactions (2004) (1)
- Advantages of decision lists and implicit negatives in Inductive Logic Programming (2009) (1)
- Executable Trigger-Action Comments (2018) (1)
- Transfer Learning by Mapping and Revising Relational Knowledge (2008) (1)
- Multiple-Fault Diagnosis Using General Qualitative Models with Behavioral Modes (1994) (1)
- Query Disambiguation from Short Sessions (2017) (1)
- Reframing Explanation as an Interactive Medium: The EQUAS (Explainable QUestion Answering System) Project (2021) (1)
- Generalizing Explanation Structures (1993) (1)
- Evaluation Methodologies for Code Learning Tasks (2021) (1)
- iagnosis of Continuous ehavioral Modes (1996) (1)
- Learning Indices for Conceptual Information Retrieval: An Application of Explanation-Based Learning in Natural Language Processing. (1987) (1)
- Using Developer Discussions to Guide Fixing Bugs in Software (2022) (1)
- A Recap of Early Work on Theory and Knowledge Refinement (2021) (1)
- Learning Information Extractors for Proteins and their Interactions (1)
- Learning Latent Graph Representations for Relational VQA (2020) (0)
- An Ecient First-order Horn-clause Abduction System Based on the Atms 3 Hwee Tou Ng (2004) (0)
- EDL 2016 UTAustin System Description (2017) (0)
- Summer 2015 Internship Report: Generating Natural Language Description for Videos (0)
- How is the weather ? teh whether ? How is (1997) (0)
- Batch versus Incremental Theory Renement 3 (1992) (0)
- Conclusions Accuracy of Student Models Future Work C ++ Tutor Tests Effect of Remediation on Student Performance Experimental Results Background on Theory Refinement (0)
- @ Home 2018 DSPL Team Description Paper (2018) (0)
- Captioning Images with Diverse Objects Supplementary Material (2017) (0)
- Appears in Categorization by Humans and Machines: The Psychology of Learning and Motivation, Vol. 29, (2004) (0)
- Appears in the Working Notes of the IJCAI-97 Workshop on Abduction and Induction in AI Integrating Abduction and Induction in Machine Learning (1997) (0)
- A Unified Approach to Abductive Inference (2014) (0)
- Using Multiple Clause . . . (2001) (0)
- Hidden State Guidance: Improving Image Captioning Using an Image Conditioned Autoencoder (2019) (0)
- STATISTICAL RELATIONAL LEARNING AND SCRIPT INDUCTION FOR TEXTUAL INFERENCE (2017) (0)
- Evaluating the Novelty of Text-Mined Rulesusing (2001) (0)
- AAAI-06 conference preface (2006) (0)
- A DOMAIN INDEPENDENT EXPLAN ATION-B ASED GENERALIZE!! (2017) (0)
- In NIPS ' 09 workshop : Applications for Topic Models : Text and Beyond 2009 . (2016) (0)
- Word Embedding GRU ! " # Image CNN Caption Generation Word Embedding Caption Embedding ! $ # Answer Prediction Question Phase (2019) (0)
- Speech Recognition model compression by Madhumitha Sakthi REPORT (2019) (0)
- To appear in 1997 Workshop on Automata Induction , Grammatical Inference , and Language Acquisition Learning to Parse Natural Language Database Queriesinto Logical (1997) (0)
- Zero-shot Video Moment Retrieval With Off-the-Shelf Models (2022) (0)
- Theory Renement with Noisy Data 3 (1992) (0)
- Case Study 2 — GENESIS: Learning Schemata for Narrative Text Understanding (1993) (0)
- Semi-supervised Clustering for Intelligent User Management Prof (0)
- International Conference on Algorithmic Learning Theory, pages 368--381. Tokyo. (0)
- Language-guided Task Adaptation for Imitation Learning (2023) (0)
- Using Probabilistic Context-Free Grammars (2017) (0)
- Reframing Explanation as an Interactive Medium: The EQUAS (Explainable QUestion Answering System) Project (2021) (0)
- Dialog for Natural Language to Code by Shobhit Chaurasia (2017) (0)
- Transfer Learning in Integrated Cognitive Systems (2010) (0)
- Appears in Symbolic , Connectionist , and Statistical Approaches to Learning for Natural Language Processing (0)
- Diverse Ensembles for A tive LearningPrem (2004) (0)
- Submitted for pubilcation Unifying Search-Based and Similarity-Based Approaches to Semi-Supervised Clustering (0)
- Towards Automated Error Analysis: Learning to Characterize Errors (2022) (0)
- Stacking With Auxiliary Features for Combining Supervised and Unsupervised Ensembles (2016) (0)
- {31 () Unifying Instance-based and Rule-based Induction Pedro Domingos (1996) (0)
- 6 Empirical Results on Learning Rate 7 Related Work 4 Intermediate Concept Utilization 5 Intermediate Concept Creation Constructive Induction in Theory Renement (1991) (0)
- Recurrent Neural Nets and Long Short-Term Memory (2017) (0)
- Machine learning : proceedings of the Seventh International Conference (1990), University of Texas, Austin, Texas, June 21-23, 1990 (1990) (0)
- Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks (2022) (0)
- Dialog for Natural Language to Code by Shobhit Chaurasia (2017) (0)
- Niques for Natural Language Information Ex- Learning Information Extrac- Tion Rules for Semi-structured and Free Text. Ma- Chine Learning 34 (1997) (0)
- Recommending Using Text Categorization with Extracted Information (1998) (0)
- Appears in the AAAI-98/ICML-98 Workshop on Learning for Text Categorization and the AAAI-98 Workshop on Recommender Systems (1998) (0)
- Wwee Tou Ng (1999) (0)
- Proceedings of the International Conference (7th) on Machine Learning Held in Austin, Texas on 21-23 June 1990 (1990) (0)
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