--- title: "Kenton Lee — papers and cards" description: "Kenton Lee: 3 paper cards in the Research library (2016–2017), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/kenton-lee/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kenton-lee/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kenton Lee # Kenton Lee 3 paper cards in the Research library · 2016–2017 Kenton Lee wrote 3 of the papers Mova reads, in 2016–2017, most of them on [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/), [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/); often with [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/), [Mike Lewis](https://md.research.elamur.ai/free/en/authors/mike-lewis/), [Luheng He](https://md.research.elamur.ai/free/en/authors/luheng-he/). [OpenAlex](https://openalex.org/A5081862885) · [ORCID](https://orcid.org/0000-0002-9534-5970) · [**h-index 37**](https://openalex.org/authors/A5081862885) · [52706 citations](https://openalex.org/authors/A5081862885) · [111 works](https://openalex.org/works?filter=author.id:A5081862885) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Kenton+Lee) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kenton+Lee) · [dblp](https://dblp.org/search?q=Kenton+Lee) · [ACL Anthology](https://aclanthology.org/search/?q=Kenton+Lee) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Kenton+Lee) Topics: [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 1 · [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) 1 ## Papers 1. **[End-to-end Neural Coreference Resolution](https://md.research.elamur.ai/free/en/papers/lee-2017-end-end-neural-coreference-resolution/)** *(2017)* The first coreference model trained end to end without a parser or a mention detector. Every span up to 10 words is a candidate; each span gets a mention score and each pair an antecedent score, and a span chooses among all earlier spans plus a dummy antecedent fixed at score 0 (no link, or not a mention). Span… 2. **[Deep Semantic Role Labeling: What Works and What's Next](https://md.research.elamur.ai/free/en/papers/he-2017-deep-semantic-role-labeling-what/)** *(2017)* A neural SRL model that treats each predicate's arguments as BIO tags over the sentence, with no syntax input. 3. **[LSTM CCG Parsing](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-lewis-lstm-ccg-parsing/)** *(2016)* The paper asks whether a CCG parser needs an explicit model of bilexical dependencies. Its parser has none: a bidirectional LSTM supertagger assigns lexical categories, a deterministic grammar combines them, and A* search finds the best parse. Semi-supervised tri-training adds training signal. On CCGbank section 23… ## Co-authors (3) - [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) ×3 - [Mike Lewis](https://md.research.elamur.ai/free/en/authors/mike-lewis/) ×3 - [Luheng He](https://md.research.elamur.ai/free/en/authors/luheng-he/) ×2 ## More papers in the library (7) Pages of the Research library: our summary, the ideas, references and who cites each. - [XOR QA: Cross-lingual Open-Retrieval Question Answering](https://md.research.elamur.ai/free/en/papers/asai-2021-xor-qa-cross-lingual-open/) — Akari Asai, Jungo Kasai, Jonathan Clark, et al. · 2021 - [BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions](https://md.research.elamur.ai/free/en/papers/clark-2019-boolq-exploring-surprising-difficulty-natural/) — Christopher Clark, Kenton Lee, Ming-Wei Chang, et al. · 2019 - [Latent Retrieval for Weakly Supervised Open Domain Question Answering](https://md.research.elamur.ai/free/en/papers/lee-2019-latent-retrieval-weakly-supervised-open/) — Kenton Lee, Ming-Wei Chang, Kristina Toutanova · 2019 - [Natural Questions: A Benchmark for Question Answering Research](https://md.research.elamur.ai/free/en/papers/kwiatkowski-2019-natural-questions-benchmark-question-answering/) — Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, et al. · 2019 - [Well-Read Students Learn Better: On the Importance of Pre-training Compact Models](https://md.research.elamur.ai/free/en/papers/turc-2019-well-read-students-learn-better/) — Iulia Turc, Ming-Wei Chang, Kenton Lee, et al. · 2019 - [Higher-Order Coreference Resolution with Coarse-to-Fine Inference](https://md.research.elamur.ai/free/en/papers/lee-2018-higher-order-coreference-resolution-coarse/) — Kenton Lee, Luheng He, Luke Zettlemoyer · 2018 - [Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/he-2018-jointly-predicting-predicates-arguments-neural/) — Luheng He, Kenton Lee, Omer Levy, et al. · 2018