---
title: "Mark Johnson — all works — Elamur Research"
description: "All 37 works of Mark Johnson 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/mark-johnson/works/"
---
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# Mark Johnson — all works

37 works · [← Mark Johnson](https://md.research.elamur.ai/free/en/authors/mark-johnson/)

1. **[Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments](https://md.research.elamur.ai/free/en/papers/anderson-2017-vision-language-navigation-interpreting-visually/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Peter Anderson, Qi Wu, Damien Teney, et al.*2017 · 1,414 citations*
2. [**Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking**Eugene Charniak, Mark Johnson*English · 1,316 citations*](https://md.research.elamur.ai/free/en/papers/charniak-2005-coarse-fine-n-best-parsing/)
3. [**Effective Self-Training for Parsing**David McClosky, Eugene Charniak, Mark Johnson*English · 854 citations*](https://md.research.elamur.ai/free/en/papers/mcclosky-2006-effective-self-training-parsing/)
4. [**An Improved Non-monotonic Transition System for Dependency Parsing**Matthew Honnibal, Mark Johnson*English · 752 citations*](https://md.research.elamur.ai/free/en/papers/honnibal-2015-improved-non-monotonic-transition-system/)
5. **[PCFG Models of Linguistic Tree Representations](https://md.research.elamur.ai/free/en/papers/johnson-1998-pcfg-models-linguistic-tree-representations/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Mark Johnson*1998 · 488 citations*
6. **[nocaps: novel object captioning at scale ↗](https://doi.org/10.1109/iccv.2019.00904) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Harsh Agrawal et al.*2019 · 452 citations*
7. **[Parsing the Wall Street Journal using a Lexical-Functional Grammar and Discriminative Estimation Techniques](https://md.research.elamur.ai/free/en/papers/riezler-2002-parsing-wall-street-journal-lexical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Stefan Riezler, Tracy H. King, Ronald M. Kaplan, et al.*2002 · 396 citations*
8. **[Contextual Dependencies in Unsupervised Word Segmentation](https://md.research.elamur.ai/free/en/papers/goldwater-2006-contextual-dependencies-unsupervised-word-segmentation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sharon Goldwater, Thomas L. Griffiths, Mark Johnson*2006 · 373 citations*
9. **[Bayesian Inference for PCFGs via Markov Chain Monte Carlo](https://md.research.elamur.ai/free/en/papers/johnson-2007-bayesian-inference-pcfgs-markov-chain/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mark Johnson, Thomas Griffiths, Sharon Goldwater*2007 · 353 citations*
10. [**Reranking and Self-Training for Parser Adaptation**David McClosky, Eugene Charniak, Mark Johnson*English · 352 citations*](https://md.research.elamur.ai/free/en/papers/mcclosky-2006-reranking-self-training-parser-adaptation/)
11. **[Improving Topic Models with Latent Feature Word Representations](https://md.research.elamur.ai/free/en/papers/nguyen-2015-improving-topic-models-latent-feature/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Dat Quoc Nguyen, Richard Billingsley, Lan Du, et al.*2015 · 351 citations*
12. [**SPICE: Semantic Propositional Image Caption Evaluation arXiv:1607.08822**Peter Anderson, Basura Fernando, Mark Johnson, et al.*2016 · 289 citations*](https://md.research.elamur.ai/free/en/papers/anderson-2016-spice-semantic-propositional-image-caption/)
13. **[Guided Open Vocabulary Image Captioning with Constrained Beam Search](https://md.research.elamur.ai/free/en/papers/anderson-2017-guided-open-vocabulary-image-captioning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Peter Anderson, Basura Fernando, Mark Johnson, et al.*2017 · 286 citations*
14. **[Estimators for Stochastic “Unification-Based” Grammars](https://md.research.elamur.ai/free/en/papers/johnson-1999-estimators-stochastic-unification-based-grammars/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mark Johnson, Stuart Geman, Stephen Canon, et al.*1999 · 244 citations*
15. **[Edit Detection and Parsing for Transcribed Speech](https://md.research.elamur.ai/free/en/papers/charniak-2001-edit-detection-parsing-transcribed-speech/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Eugene Charniak, Mark Johnson*2001 · 230 citations*
16. **[Automatic Domain Adaptation for Parsing](https://md.research.elamur.ai/free/en/papers/mcclosky-2010-automatic-domain-adaptation-parsing/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**David McClosky, Eugene Charniak, Mark Johnson*2010 · 228 citations*
17. **[Why Doesn't EM Find Good HMM POS-Taggers?](https://md.research.elamur.ai/free/en/papers/johnson-2007-why-doesn-t-em-find/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mark Johnson*2007 · 219 citations*
18. **[Sources of Hallucination by Large Language Models on Inference Tasks](https://md.research.elamur.ai/free/en/papers/mckenna-2023-sources-hallucination-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nick McKenna, Tianyi Li, Liang Cheng, et al.*2023 · 212 citations*
19. **[A TAG-based noisy-channel model of speech repairs](https://md.research.elamur.ai/free/en/papers/johnson-2004-tag-based-noisy-channel-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mark Johnson, Eugene Charniak*2004 · 205 citations*
20. **[Using Universal Linguistic Knowledge to Guide Grammar Induction](https://md.research.elamur.ai/free/en/papers/naseem-2010-universal-linguistic-knowledge-guide-grammar/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tahira Naseem, Harr Chen, Regina Barzilay, et al.*2010 · 201 citations*
21. [**Supersense Tagging of Unknown Nouns in WordNet**Massimiliano Ciaramita, Mark Johnson*English · 176 citations*](https://md.research.elamur.ai/free/en/papers/ciaramita-2003-supersense-tagging-unknown-nouns-wordnet/)
22. **[VnCoreNLP: A Vietnamese Natural Language Processing Toolkit ↗](https://aclanthology.org/N18-5012/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations · no summary yet**Thanh Vu et al.*2018 · 152 citations*
23. **[Joint Incremental Disfluency Detection and Dependency Parsing](https://md.research.elamur.ai/free/en/papers/honnibal-2014-joint-incremental-disfluency-detection-dependency/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Matthew Honnibal, Mark Johnson*2014 · 147 citations*
24. **[STransE: a novel embedding model of entities and relationships in knowledge bases](https://md.research.elamur.ai/free/en/papers/nguyen-2016-stranse-novel-embedding-model-entities/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, et al.*2016 · 130 citations*
25. **[AMR dependency parsing with a typed semantic algebra ↗](https://aclanthology.org/P18-1170/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jonas Groschwitz et al.*2018 · 107 citations*
26. **[Semantic Parsing with Bayesian Tree Transducers ↗](https://aclanthology.org/P12-1051/) Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Bevan Jones, Mark Johnson, Sharon Goldwater*2012 · 81 citations*
27. **[Improving nonparameteric Bayesian inference: experiments on unsupervised word segmentation with adaptor grammars](https://md.research.elamur.ai/free/en/papers/johnson-2009-improving-nonparameteric-bayesian-inference-experiments/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mark Johnson, Sharon Goldwater*2009 · 64 citations*
28. **[Multilingual Semantic Parsing And Code-Switching ↗](https://aclanthology.org/K17-1038/) Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017) · no summary yet**Long Duong et al.*2017 · 60 citations*
29. [**A Non-Monotonic Arc-Eager Transition System for Dependency Parsing**Matthew Honnibal, Yoav Goldberg, Mark Johnson*English · 55 citations*](https://md.research.elamur.ai/free/en/papers/honnibal-2013-non-monotonic-arc-eager-transition/)
30. **[A constrained graph algebra for semantic parsing with AMRs ↗](https://aclanthology.org/W17-6810/) Proceedings of the 12th International Conference on Computational Semantics (IWCS) –- Long papers · no summary yet**Jonas Groschwitz et al.*2017 · 39 citations*
31. **[Parsing entire discourses as very long strings: Capturing topic continuity in grounded language learning](https://md.research.elamur.ai/free/en/papers/luong-2013-parsing-entire-discourses-as-very/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Minh-Thang Luong, Michael C. Frank, Mark Johnson*2013 · 28 citations*
32. **[Explaining away ambiguity: Learning verb selectional preference with Bayesian networks ↗](https://aclanthology.org/C00-1028/) COLING 2000 Volume 1: The 18th International Conference on Computational Linguistics · no summary yet**Massimiliano Ciaramita, Mark Johnson*2000 · 19 citations*
33. **[A joint model of word segmentation and phonological variation for English word-final /t/-deletion](https://md.research.elamur.ai/free/en/papers/borschinger-2013-joint-model-word-segmentation-phonological/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Benjamin Börschinger, Mark Johnson, Katherine Demuth*2013 · 13 citations*
34. **[Formalizing Semantic Parsing with Tree Transducers ↗](https://aclanthology.org/U11-1005/) Proceedings of the Australasian Language Technology Association Workshop 2011 · no summary yet**Bevan Jones, Mark Johnson, Sharon Goldwater*2011 · 9 citations*
35. [**A Language-agnostic Model of Child Language Acquisition**Louis Mahon, Omri Abend, Uri Berger, et al.*Modern Hebrew · 3 citations*](https://md.research.elamur.ai/free/en/papers/mahon-2024-language-agnostic-model-child-language/)
36. **[Why is English so easy to segment?](https://md.research.elamur.ai/free/en/papers/fourtassi-2013-why-is-english-so-easy/) [Annual Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/annual-workshop-on-cognitive-modeling-and-computational-linguistics-cmcl/)**Abdellah Fourtassi, Benjamin Börschinger, Mark Johnson, et al.*2013 · 3 citations*
37. **[Syllable weight encodes mostly the same information for English word segmentation as dictionary stress ↗](https://aclanthology.org/D14-1091/) Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**John K Pate, Mark Johnson*2014 · 2 citations*