Andrew McCallum
Orcid: 0009-0004-5487-2848Affiliations:
- University of Massachusetts Amherst, Department of Computer Science, Amherst, MA, USA
- University of Rochester, Department of Computer Science, Rochester, NY, USA (PhD 1995)
According to our database1,
Andrew McCallum
authored at least 335 papers
between 1990 and 2024.
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases.
CoRR, 2022
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
You can't pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the Third Workshop on Scholarly Document Processing, 2022
Proceedings of the International Conference on Automated Machine Learning, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021
Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations.
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021
CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Box Embeddings: An open-source library for representation learning using geometric structures.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Long Document Summarization in a Low Resource Setting using Pretrained Language Models.
Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Using error decay prediction to overcome practical issues of deep active learning for named entity recognition.
Mach. Learn., 2020
J. Chem. Inf. Model., 2020
CoRR, 2020
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the Working Notes of CLEF 2020, 2020
Proceedings of the Conference on Automated Knowledge Base Construction, 2020
Proceedings of the Conference on Automated Knowledge Base Construction, 2020
Proceedings of the Conference on Automated Knowledge Base Construction, 2020
Proceedings of the Conference on Automated Knowledge Base Construction, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-Level Supervision.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition.
CoRR, 2019
CoRR, 2019
Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference.
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures.
Proceedings of the 13th Linguistic Annotation Workshop, 2019
Optimal Transport-based Alignment of Learned Character Representations for String Similarity.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019
2018
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?
CoRR, 2018
Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings.
Proceedings of the Twelfth Workshop on Graph-Based Methods for Natural Language Processing, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset.
Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018
2017
CoRR, 2017
CoRR, 2017
Active Bias: Training a More Accurate Neural Network by Emphasizing High Variance Samples.
CoRR, 2017
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, 2017
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
Attending to All Mention Pairs for Full Abstract Biological Relation Extraction.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017
Learning String Alignments for Entity Aliases.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017
Finer Grained Entity Typing with TypeNet.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017
Entity-centric Attribute Feedback for Interactive Knowledge Bases.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017
Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017
RelNet: End-to-end Modeling of Entities & Relations.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema.
Proceedings of the 2016 Text Analysis Conference, 2016
Proceedings of the 10th ACM Conference on Recommender Systems, 2016
Proceedings of the NAACL HLT 2016, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016
2015
Proceedings of the 3rd International Conference on Learning Representations, 2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches.
Proceedings of the 2015 Text Analysis Conference, 2015
Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
Proceedings of the 2015 AAAI Spring Symposia, 2015
2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
2013
Proceedings of the 1st International Conference on Learning Representations, 2013
Proceedings of the Sixth Text Analysis Conference, 2013
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013
Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013
Proceedings of the 2013 workshop on Automated knowledge base construction, 2013
Proceedings of the 2013 workshop on Automated knowledge base construction, 2013
Assessing confidence of knowledge base content with an experimental study in entity resolution.
Proceedings of the 2013 workshop on Automated knowledge base construction, 2013
Proceedings of the 2013 workshop on Automated knowledge base construction, 2013
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013
2012
An Integrated, Conditional Model of Information Extraction and Coreference with Applications to Citation Matching
CoRR, 2012
Selecting actions for resource-bounded information extraction using reinforcement learning.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012
Human-Machine Cooperation: Supporting User Corrections to Automatically Constructed KBs.
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012
Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012
2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Proceedings of BioNLP Shared Task 2011 Workshop, Portland, Oregon, USA, June 24, 2011, 2011
Robust Biomedical Event Extraction with Dual Decomposition and Minimal Domain Adaptation.
Proceedings of BioNLP Shared Task 2011 Workshop, Portland, Oregon, USA, June 24, 2011, 2011
Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011
2010
Proc. VLDB Endow., 2010
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data.
J. Mach. Learn. Res., 2010
Proceedings of the UAI 2010, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010
Proceedings of the 9th Conference of the Association for Machine Translation in the Americas: Research Papers, 2010
2009
Proceedings of the UAI 2009, 2009
Proceedings of the SIAM International Conference on Data Mining, 2009
Bi-directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009
Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009
Proceedings of the Thirteenth Conference on Computational Natural Language Learning, 2009
Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria.
Proceedings of the ACL 2009, 2009
2008
Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression.
Proceedings of the UAI 2008, 2008
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008
Proceedings of the International Workshop on New Trends in Information Integration, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the Fourth International Conference on e-Science, 2008
Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields.
Proceedings of the ACL 2008, 2008
2007
SIGKDD Explor., 2007
Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data.
J. Mach. Learn. Res., 2007
Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email.
J. Artif. Intell. Res., 2007
Efficient Computation of Entropy Gradient for Semi-Supervised Conditional Random Fields.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007
Report on the NSF-sponsored Human Language Technology Workshop on Industrial Centers.
Proceedings of Machine Translation Summit XI: Papers, 2007
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2007
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2007
Proceedings of the IJCAI 2007, 2007
Proceedings of the Machine Learning, 2007
Proceedings of the Machine Learning, 2007
Proceedings of the Machine Learning, 2007
Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007
2006
Inf. Process. Manag., 2006
Artif. Intell., 2006
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006
Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2006
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006
Proceedings of the Machine Learning, 2006
Sparse Forward-Backward Using Minimum Divergence Beams for Fast Training Of Conditional Random Fields.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the EMNLP 2006, 2006
Exploring the Use of Conditional Random Field Models and HMMs for Historical Handwritten Document Recognition.
Proceedings of the Second International Workshop on Document Image Analysis for Libraries (DIAL 2006), 2006
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification.
Proceedings of the Proceedings, 2006
Proceedings of the Semi-Supervised Learning, 2006
2005
ACM Queue, 2005
Proceedings of the 14th international conference on World Wide Web, 2005
A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance.
Proceedings of the UAI '05, 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the HLT/EMNLP 2005, 2005
Proceedings of the 3rd international workshop on Link discovery, 2005
Proceedings of the 5th Internet Measurement Conference, 2005
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Proceedings of the Machine Learning, 2005
Proceedings of the Ninth Conference on Computational Natural Language Learning, 2005
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005
Proceedings of the Proceedings, 2005
Proceedings of the Proceedings, 2005
2004
An Integrated, Conditional Model of Information Extraction and Coreference with Appli.
Proceedings of the UAI '04, 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Accurate Information Extraction from Research Papers using Conditional Random Fields.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2004
Proceedings of HLT-NAACL 2004: Short Papers, Boston, Massachusetts, USA, May 2-7, 2004, 2004
Proceedings of the COLING 2004, 2004
Proceedings of the CEAS 2004, 2004
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004
2003
Rapid development of Hindi named entity recognition using conditional random fields and feature induction.
ACM Trans. Asian Lang. Inf. Process., 2003
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.
SIGIR Forum, 2003
Proceedings of the UAI '03, 2003
Proceedings of the SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28, 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference.
Proceedings of IJCAI-03 Workshop on Information Integration on the Web (IIWeb-03), 2003
Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons.
Proceedings of the Seventh Conference on Natural Language Learning, 2003
2002
Proceedings of the UAI '02, 2002
2001
Toward Optimal Active Learning through Sampling Estimation of Error Reduction.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
2000
Mach. Learn., 2000
Inf. Retr., 2000
Efficient clustering of high-dimensional data sets with application to reference matching.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000
Maximum Entropy Markov Models for Information Extraction and Segmentation.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Learning to Create Customized Authority Lists.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000
1999
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999
Using Reinforcement Learning to Spider the Web Efficiently.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999
1998
Proceedings of the SIGIR '98: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1998
Improving Text Classification by Shrinkage in a Hierarchy of Classes.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998
Employing EM and Pool-Based Active Learning for Text Classification.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998
1996
IEEE Trans. Syst. Man Cybern. Part B, 1996
1995
Proceedings of the Machine Learning, 1995
1994
Proceedings of the Advances in Neural Information Processing Systems 7, 1994
1993
Proceedings of the Machine Learning, 1993
1992
Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992
1990
Proceedings of the Machine Learning, 1990