---
title: "Andrew McCallum — all works — Elamur Research"
description: "All 43 works of Andrew McCallum in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/andrew-mccallum/works/"
---
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# Andrew McCallum — all works

43 works · [← Andrew McCallum](https://md.research.elamur.ai/free/en/authors/andrew-mccallum/)

1. **[Energy and Policy Considerations for Deep Learning in NLP](https://md.research.elamur.ai/free/en/papers/strubell-2019-energy-policy-considerations-deep-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Emma Strubell, Ananya Ganesh, Andrew McCallum*2019 · 4,075 citations*
2. [**A Comparison of Event Models for Naive Bayes Text Classification AAAI-98 Workshop on Learning for Text Categorization**Andrew McCallum, Kamal Nigam*1998 · 3,324 citations*](https://md.research.elamur.ai/free/en/papers/mccallum-1998-comparison-event-models-naive-bayes/)
3. **[Text Classification from Labeled and Unlabeled Documents using EM](https://md.research.elamur.ai/free/en/papers/nigam-2000-text-classification-labeled-unlabeled-em/) [Machine Learning](https://md.research.elamur.ai/free/en/venues/machine-learning/)**Kamal Nigam, Andrew McCallum, Sebastian Thrun, et al.*2000 · 2,862 citations*
4. **[Optimizing Semantic Coherence in Topic Models](https://md.research.elamur.ai/free/en/papers/mimno-2011-optimizing-semantic-coherence-topic-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Mimno, Hanna Wallach, Edmund Talley, et al.*2011 · 1,340 citations*
5. **[Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons](https://md.research.elamur.ai/free/en/papers/mccallum-2003-early-results-named-entity-recognition/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Andrew McCallum, Wei Li*2003 · 1,336 citations*
6. **[Energy and Policy Considerations for Modern Deep Learning Research ↗](https://doi.org/10.1609/aaai.v34i09.7123) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Emma Strubell, Ananya Ganesh, Andrew McCallum*2020 · 799 citations*
7. **[Pachinko allocation ↗](https://doi.org/10.1145/1143844.1143917) International Conference on Machine Learning · no summary yet**Wei Li, Andrew McCallum*2006 · 609 citations*
8. **[Linguistically-Informed Self-Attention for Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/strubell-2018-linguistically-informed-self-attention-semantic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emma Strubell, Patrick Verga, Daniel Andor, et al.*2018 · 604 citations*
9. **[Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space](https://md.research.elamur.ai/free/en/papers/neelakantan-2014-efficient-non-parametric-estimation-multiple/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Arvind Neelakantan, Jeevan Shankar, Alexandre Passos, et al.*2014 · 598 citations*
10. **[Chinese Segmentation and New Word Detection using Conditional Random Fields](https://md.research.elamur.ai/free/en/papers/peng-2004-chinese-segmentation-new-word-detection/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Fuchun Peng, Fangfang Feng, Andrew McCallum*2004 · 587 citations*
11. **[Fast and Accurate Entity Recognition with Iterated Dilated Convolutions](https://md.research.elamur.ai/free/en/papers/strubell-2017-fast-accurate-entity-recognition-iterated/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emma Strubell, Patrick Verga, David Belanger, et al.*2017 · 548 citations*
12. **[SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications](https://md.research.elamur.ai/free/en/papers/augenstein-2017-semeval-2017-task-10-scienceie/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Isabelle Augenstein, Mrinal Das, Sebastian Riedel, et al.*2017 · 437 citations*
13. **[Polylingual Topic Models](https://md.research.elamur.ai/free/en/papers/mimno-2009-polylingual-topic-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Mimno, Hanna M. Wallach, Jason Naradowsky, et al.*2009 · 418 citations*
14. **[Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction](https://md.research.elamur.ai/free/en/papers/verga-2018-simultaneously-self-attending-all-mentions/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Patrick Verga, Emma Strubell, Andrew McCallum*2018 · 353 citations*
15. **[Compositional Vector Space Models for Knowledge Base Completion](https://md.research.elamur.ai/free/en/papers/neelakantan-2015-compositional-vector-space-models-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Arvind Neelakantan, Benjamin Roth, Andrew McCallum*2015 · 281 citations*
16. **[Structured Relation Discovery using Generative Models](https://md.research.elamur.ai/free/en/papers/yao-2011-structured-relation-discovery-generative-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Limin Yao, Aria Haghighi, Sebastian Riedel, et al.*2011 · 216 citations*
17. **[First-Order Probabilistic Models for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/culotta-2007-first-order-probabilistic-models-coreference/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Aron Culotta, Michael Wick, Andrew McCallum*2007 · 212 citations*
18. **[Case-based Reasoning for Natural Language Queries over Knowledge Bases ↗](https://aclanthology.org/2021.emnlp-main.755/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Rajarshi Das et al.*2021 · 201 citations*
19. **[Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks ↗](https://aclanthology.org/P17-2057/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Rajarshi Das et al.*2017 · 189 citations*
20. **[A2N: Attending to Neighbors for Knowledge Graph Inference ↗](https://aclanthology.org/P19-1431/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Trapit Bansal et al.*2019 · 152 citations*
21. **[Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models](https://md.research.elamur.ai/free/en/papers/singh-2011-large-scale-cross-document-coreference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sameer Singh, Amarnag Subramanya, Fernando Pereira, et al.*2011 · 151 citations*
22. **[Lexicon Infused Phrase Embeddings for Named Entity Resolution](https://md.research.elamur.ai/free/en/papers/passos-2014-lexicon-infused-phrase-embeddings-named/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Alexandre Passos, Vineet Kumar, Andrew McCallum*2014 · 146 citations*
23. **[Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures ↗](https://aclanthology.org/P18-1025/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Luke Vilnis et al.*2018 · 144 citations*
24. **[Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders ↗](https://aclanthology.org/N19-1116/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Andrew Drozdov et al.*2019 · 142 citations*
25. **[Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks ↗](https://aclanthology.org/2020.coling-main.448/) Proceedings of the 28th International Conference on Computational Linguistics · no summary yet**Trapit Bansal, Rishikesh Jha, Andrew McCallum*2020 · 139 citations*
26. **[Multilingual Relation Extraction using Compositional Universal Schema ↗](https://aclanthology.org/N16-1103/) Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Patrick Verga et al.*2016 · 139 citations*
27. **[Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks ↗](https://aclanthology.org/2020.emnlp-main.38/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Trapit Bansal et al.*2020 · 120 citations*
28. **[Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking ↗](https://aclanthology.org/P18-1010/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Shikhar Murty et al.*2018 · 120 citations*
29. **[Multi-way distributional clustering via pairwise interactions ↗](https://doi.org/10.1145/1102351.1102357) International Conference on Machine Learning · no summary yet**Ron Bekkerman, Ran El‐Yaniv, Andrew McCallum*2005 · 106 citations*
30. **[Model Combination for Event Extraction in BioNLP 2011 ↗](https://aclanthology.org/W11-1808/) Proceedings of BioNLP Shared Task 2011 Workshop · no summary yet**Sebastian Riedel et al.*2011 · 96 citations*
31. **[Modeling Fine-Grained Entity Types with Box Embeddings ↗](https://aclanthology.org/2021.acl-long.160/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Yasumasa Onoe et al.*2021 · 90 citations*
32. **[Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets ↗](https://aclanthology.org/D18-1306/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Nathan Greenberg et al.*2018 · 79 citations*
33. **[Learning a Natural Language Interface with Neural Programmer ↗](https://arxiv.org/abs/1611.08945) arXiv:1611.08945 · no summary yet**Arvind Neelakantan et al.*2016 · 79 citations*
34. **[Clustering-based Inference for Biomedical Entity Linking ↗](https://aclanthology.org/2021.naacl-main.205/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Rico Angell et al.*2021 · 72 citations*
35. **[Nonparametric Bayes Pachinko Allocation ↗](https://arxiv.org/abs/1206.5270) arXiv (Cornell University) · no summary yet**Wei Li, David M. Blei, Andrew McCallum*2012 · 72 citations*
36. **[A Discriminative Hierarchical Model for Fast Coreference at Large Scale](https://md.research.elamur.ai/free/en/papers/wick-2012-discriminative-hierarchical-model-fast-coreference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michael Wick, Sameer Singh, Andrew McCallum*2012 · 57 citations*
37. **[Combining joint models for biomedical event extraction ↗](https://doi.org/10.1186/1471-2105-13-s11-s9) BMC Bioinformatics · no summary yet**David McClosky et al.*2012 · 46 citations*
38. **[Dynamic Knowledge-Base Alignment for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/zheng-2013-dynamic-knowledge-base-alignment-coreference/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Jiaping Zheng, Luke Vilnis, Sameer Singh, et al.*2013 · 27 citations*
39. **[Inducing and Using Alignments for Transition-based AMR Parsing ↗](https://aclanthology.org/2022.naacl-main.80/) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Andrew Drozdov et al.*2022 · 26 citations*
40. **[Scaling Within Document Coreference to Long Texts](https://md.research.elamur.ai/free/en/papers/thirukovalluru-2021-scaling-within-document-coreference-long/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, et al.*2021 · 24 citations*
41. **[Longtonotes: OntoNotes with Longer Coreference Chains ↗](https://aclanthology.org/2023.findings-eacl.105/) Findings of the Association for Computational Linguistics: EACL 2023 · no summary yet**Kumar Shridhar et al.*2023 · 7 citations*
42. **[xLM: A Python Package for Non-Autoregressive Language Models](https://md.research.elamur.ai/free/en/papers/patel-2026-xlm-python-package-non-autoregressive/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Dhruvesh Patel, Durga Prasad Maram, Sai Sreenivas Chintha, et al.*2026*
43. **[Faust: Flexible Acquistion and Understanding System for Text ↗](https://doi.org/10.21236/ada588330) no summary yet**L. L. Voss et al.*2013*