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# Kenton Lee

3 paper cards in Mova's library · 2016–2017

Kenton Lee wrote 3 of the papers Mova reads, in 2016–2017, most of them on [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/), [Semantic role labeling](https://md.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/); often with [Luke Zettlemoyer](https://md.mova.elamur.ai/free/en/docs/papers/authors/luke-zettlemoyer/), [Mike Lewis](https://md.mova.elamur.ai/free/en/docs/papers/authors/mike-lewis/), [Luheng He](https://md.mova.elamur.ai/free/en/docs/papers/authors/luheng-he/).

[OpenAlex](https://openalex.org/A5081862885) · [ORCID](https://orcid.org/0000-0002-9534-5970) · [**h-index 37**](https://openalex.org/authors/A5081862885) · [69881 citations](https://openalex.org/authors/A5081862885) · [111 works](https://openalex.org/works?filter=author.id:A5081862885) — openalex, 2026-10-18

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.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/) 1 · [Semantic role labeling](https://md.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/) 1

## Papers

1. **[End-to-end Neural Coreference Resolution](https://md.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/papers/authors/luke-zettlemoyer/) ×3
- [Mike Lewis](https://md.mova.elamur.ai/free/en/docs/papers/authors/mike-lewis/) ×3
- [Luheng He](https://md.mova.elamur.ai/free/en/docs/papers/authors/luheng-he/) ×2
- [← previous Keisuke Sakaguchi](https://md.mova.elamur.ai/free/en/docs/papers/authors/keisuke-sakaguchi/)
- [next → Kevin Duh](https://md.mova.elamur.ai/free/en/docs/papers/authors/kevin-duh/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)