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Andrew McCallum — all works

43 works · ← Andrew McCallum

  1. A Comparison of Event Models for Naive Bayes Text ClassificationAAAI-98 Workshop on Learning for Text CategorizationAndrew McCallum, Kamal Nigam1998 · 3,324 citations
  2. Text Classification from Labeled and Unlabeled Documents using EMMachine LearningKamal Nigam, Andrew McCallum, Sebastian Thrun, et al.2000 · 2,862 citations
  3. Energy and Policy Considerations for Modern Deep Learning Research ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetEmma Strubell, Ananya Ganesh, Andrew McCallum2020 · 799 citations
  4. Pachinko allocation ↗International Conference on Machine Learning · no summary yetWei Li, Andrew McCallum2006 · 609 citations
  5. Polylingual Topic ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)David Mimno, Hanna M. Wallach, Jason Naradowsky, et al.2009 · 418 citations
  6. Case-based Reasoning for Natural Language Queries over Knowledge Bases ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetRajarshi Das et al.2021 · 201 citations
  7. 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 (Volume 2: Short Papers) · no summary yetRajarshi Das et al.2017 · 189 citations
  8. A2N: Attending to Neighbors for Knowledge Graph Inference ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetTrapit Bansal et al.2019 · 152 citations
  9. Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetLuke Vilnis et al.2018 · 144 citations
  10. Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders ↗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 yetAndrew Drozdov et al.2019 · 142 citations
  11. Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks ↗Proceedings of the 28th International Conference on Computational Linguistics · no summary yetTrapit Bansal, Rishikesh Jha, Andrew McCallum2020 · 139 citations
  12. Multilingual Relation Extraction using Compositional Universal Schema ↗Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetPatrick Verga et al.2016 · 139 citations
  13. Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetTrapit Bansal et al.2020 · 120 citations
  14. Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetShikhar Murty et al.2018 · 120 citations
  15. Multi-way distributional clustering via pairwise interactions ↗International Conference on Machine Learning · no summary yetRon Bekkerman, Ran El‐Yaniv, Andrew McCallum2005 · 106 citations
  16. Model Combination for Event Extraction in BioNLP 2011 ↗Proceedings of BioNLP Shared Task 2011 Workshop · no summary yetSebastian Riedel et al.2011 · 96 citations
  17. Modeling Fine-Grained Entity Types with Box Embeddings ↗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 yetYasumasa Onoe et al.2021 · 90 citations
  18. 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 · no summary yetNathan Greenberg et al.2018 · 79 citations
  19. Learning a Natural Language Interface with Neural Programmer ↗arXiv:1611.08945 · no summary yetArvind Neelakantan et al.2016 · 79 citations
  20. Clustering-based Inference for Biomedical Entity Linking ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetRico Angell et al.2021 · 72 citations
  21. Nonparametric Bayes Pachinko Allocation ↗arXiv (Cornell University) · no summary yetWei Li, David M. Blei, Andrew McCallum2012 · 72 citations
  22. Combining joint models for biomedical event extraction ↗BMC Bioinformatics · no summary yetDavid McClosky et al.2012 · 46 citations
  23. Inducing and Using Alignments for Transition-based AMR Parsing ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetAndrew Drozdov et al.2022 · 26 citations
  24. Scaling Within Document Coreference to Long TextsFindings of the Association for Computational LinguisticsRaghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, et al.2021 · 24 citations
  25. Longtonotes: OntoNotes with Longer Coreference Chains ↗Findings of the Association for Computational Linguistics: EACL 2023 · no summary yetKumar Shridhar et al.2023 · 7 citations

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