--- title: "Luheng He — papers and cards" description: "Luheng He: 5 paper cards in the Research library (2015–2018), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/luheng-he/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/luheng-he/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Luheng He # Luheng He 5 paper cards in the Research library · 2015–2018 Luheng He wrote 5 of the papers Mova reads, in 2015–2018, most of them on [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/), [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/); 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/), [Julian Michael](https://md.research.elamur.ai/free/en/authors/julian-michael/). [OpenAlex](https://openalex.org/A5025887224) · [**h-index 25**](https://openalex.org/authors/A5025887224) · [5772 citations](https://openalex.org/authors/A5025887224) · [46 works](https://openalex.org/works?filter=author.id:A5025887224) — 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=Luheng+He) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Luheng+He) · [dblp](https://dblp.org/search?q=Luheng+He) · [ACL Anthology](https://aclanthology.org/search/?q=Luheng+He) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Luheng+He) Topics: [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) 4 · [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 1 ## Papers 1. **[Large-Scale QA-SRL Parsing](https://md.research.elamur.ai/free/en/papers/fitzgerald-2018-large-scale-qa-srl-parsing/)** *(2018)* The paper releases QA-SRL Bank 2.0, which has 265,140 valid question-answer pairs for 64,018 sentences and 133,479 verbs across Wikipedia, Wikinews and science textbooks. 2. **[Crowdsourcing Question-Answer Meaning Representations](https://md.research.elamur.ai/free/en/papers/michael-2018-crowdsourcing-question-answer-meaning-representations/)** *(2018)* A QAMR represents a sentence's predicate-argument structure as a set of free-form wh-question / answer-span pairs about all its content words, not only verbs («How old is Pierre Vinken? – 61 years old», «What will he join the board as? – nonexecutive director»). 3. **[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… 4. **[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. 5. **[Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language](https://md.research.elamur.ai/free/en/papers/he-2015-question-answer-driven-semantic-role/)** *(2015)* The paper introduces question-answer driven semantic role labeling (QA-SRL): each verbal predicate is labeled with wh-questions, such as "Who finished something?", and each question is answered by phrases of the sentence. ## Co-authors (7) - [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) ×5 - [Mike Lewis](https://md.research.elamur.ai/free/en/authors/mike-lewis/) ×3 - [Julian Michael](https://md.research.elamur.ai/free/en/authors/julian-michael/) ×2 - [Kenton Lee](https://md.research.elamur.ai/free/en/authors/kenton-lee/) ×2 - [Gabriel Stanovsky](https://md.research.elamur.ai/free/en/authors/gabriel-stanovsky/) - [Ido Dagan](https://md.research.elamur.ai/free/en/authors/ido-dagan/) - Nicholas FitzGerald ## More papers in the library (5) Pages of the Research library: our summary, the ideas, references and who cites each. - [A general framework for information extraction using dynamic span graphs](https://md.research.elamur.ai/free/en/papers/luan-2019-general-framework-information-extraction-dynamic/) — Yi Luan, Dave Wadden, Luheng He, et al. · 2019 - [PAWS: Paraphrase Adversaries from Word Scrambling](https://md.research.elamur.ai/free/en/papers/zhang-2019-paws-paraphrase-adversaries-word-scrambling/) — Yuan Zhang, Jason Baldridge, Luheng He · 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 - [Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/luan-2018-multi-task-identification-entities-relations/) — Yi Luan, Luheng He, Mari Ostendorf, et al. · 2018