---
title: "Tom M. Mitchell — all works — Elamur Research"
description: "All 29 works of Tom M. Mitchell 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/tom-m-mitchell/works/"
---
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# Tom M. Mitchell — all works

29 works · [← Tom M. Mitchell](https://md.research.elamur.ai/free/en/authors/tom-m-mitchell/)

1. [**Combining Labeled and Unlabeled Data with Co-Training COLT 1998**Avrim Blum, Tom Mitchell*1998 · 5,857 citations*](https://md.research.elamur.ai/free/en/papers/blum-1998-combining-labeled-unlabeled-data-co-training/)
2. **[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*
3. **[Competence-based Curriculum Learning for Neural Machine Translation ↗](https://aclanthology.org/N19-1119/) 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**Emmanouil Antonios Platanios et al.*2019 · 447 citations*
4. **[The Internal State of an LLM Knows When It's Lying](https://md.research.elamur.ai/free/en/papers/azaria-2023-internal-state-llm-knows-when/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Amos Azaria, Tom Mitchell*2023 · 435 citations*
5. **[Joint Extraction of Events and Entities within a Document Context](https://md.research.elamur.ai/free/en/papers/yang-2016-joint-extraction-events-entities-within/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Bishan Yang, Tom M. Mitchell*2016 · 317 citations*
6. **[Leveraging Knowledge Bases in LSTMs for Improving Machine Reading ↗](https://aclanthology.org/P17-1132/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Bishan Yang, Tom Mitchell*2017 · 311 citations*
7. **[Learning to Classify Email into “Speech Acts”](https://md.research.elamur.ai/free/en/papers/cohen-2004-learning-classify-email-into-speech/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**William W. Cohen, Vitor R. Carvalho, Tom M. Mitchell*2004 · 264 citations*
8. **[Contextual Parameter Generation for Universal Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/platanios-2018-contextual-parameter-generation-universal-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, et al.*2018 · 206 citations*
9. **[Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction ↗](https://aclanthology.org/D15-1173/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Matt Gardner, Tom Mitchell*2015 · 179 citations*
10. **[Aligning context-based statistical models of language with brain activity during reading ↗](https://aclanthology.org/D14-1030/) Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Leila Wehbe et al.*2014 · 122 citations*
11. **[Joint Concept Learning and Semantic Parsing from Natural Language Explanations ↗](https://aclanthology.org/D17-1161/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Shashank Srivastava, Igor Labutov, Tom Mitchell*2017 · 99 citations*
12. **[A Joint Sequential and Relational Model for Frame-Semantic Parsing](https://md.research.elamur.ai/free/en/papers/yang-2017-joint-sequential-relational-model-frame/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bishan Yang, Tom Mitchell*2017 · 98 citations*
13. **[Instructable Intelligent Personal Agent ↗](https://doi.org/10.1609/aaai.v30i1.10357) AAAI 2016 · no summary yet**Amos Azaria, Jayant Krishnamurthy, Tom M. Mitchell*2016 · 82 citations*
14. **[Learning Data Manipulation for Augmentation and Weighting ↗](https://arxiv.org/abs/1910.12795) arXiv (Cornell University) · no summary yet**Zhiting Hu et al.*2019 · 79 citations*
15. **[Weakly Supervised Training of Semantic Parsers](https://md.research.elamur.ai/free/en/papers/krishnamurthy-2012-weakly-supervised-training-semantic-parsers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jayant Krishnamurthy, Tom Mitchell*2012 · 70 citations*
16. **[SmartPlay: A Benchmark for LLMs as Intelligent Agents ↗](https://arxiv.org/abs/2310.01557) arXiv (Cornell University) · no summary yet**Yue Wu et al.*2023 · 41 citations*
17. **[Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary](https://md.research.elamur.ai/free/en/papers/krishnamurthy-2015-learning-compositional-semantics-freebase-open/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jayant Krishnamurthy, Tom M. Mitchell*2015 · 41 citations*
18. **[Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks ↗](https://aclanthology.org/J19-4002/) Computational Linguistics · no summary yet**Mrinmaya Sachan et al.*2019 · 28 citations*
19. **[Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems ↗](https://openalex.org/W2891688696) neural information processing systems · no summary yet**Mrinmaya Sachan et al.*2018 · 22 citations*
20. **[Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach ↗](https://arxiv.org/abs/1705.07086) arXiv (Cornell University) · no summary yet**Emmanouil Antonios Platanios et al.*2017 · 21 citations*
21. **[Plan, Eliminate, and Track — Language Models are Good Teachers for Embodied Agents ↗](https://arxiv.org/abs/2305.02412) arXiv (Cornell University) · no summary yet**Yue Wu et al.*2023 · 20 citations*
22. **[Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals ↗](https://doi.org/10.52202/075280-0048) neural information processing systems · no summary yet**Yue Wu et al.*2023 · 20 citations*
23. **[SPRING: Studying the Paper and Reasoning to Play Games ↗](https://arxiv.org/abs/2305.15486) arXiv (Cornell University) · no summary yet**Yue Wu et al.*2023 · 19 citations*
24. **[Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua ↗](https://aclanthology.org/N16-1096/) Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Derry Tanti Wijaya, Tom M. Mitchell*2016 · 11 citations*
25. **[SPRING: Studying Papers and Reasoning to play Games ↗](https://doi.org/10.52202/075280-0983) neural information processing systems · no summary yet**Yue Wu et al.*2023 · 6 citations*
26. **[AgentKit: Structured LLM Reasoning with Dynamic Graphs ↗](https://arxiv.org/abs/2404.11483) arXiv (Cornell University) · no summary yet**Yue Wu et al.*2024 · 5 citations*
27. **[A comparative analysis of chunking and decision-analytic control ↗](https://openalex.org/W2287242451) no summary yet**Oren Etzioni, Tom M. Mitchell*1993 · 3 citations*
28. **[SCALAR: Learning and Composing Skills through LLM Guided Symbolic Planning and Deep RL Grounding ↗](https://arxiv.org/abs/2603.09036) arXiv (Cornell University) · no summary yet**Renos Zabounidis et al.*2026*
29. **[Discourse in Multimedia: A Case Study in Information Extraction ↗](https://arxiv.org/abs/1811.05546) arXiv (Cornell University) · no summary yet**Mrinmaya Sachan et al.*2018*