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Kevin Duh

3 paper cards in Mova's library · 2016–2018

Kevin Duh wrote 3 of the papers Mova reads, in 2016–2018, most of them on Discourse analysis, Speech act theory, Coreference resolution; often with Aaron Steven White, Benjamin Van Durme, Frances Yung.

OpenAlex · ORCID · h-index 42 · 6099 citations · 269 works — 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 · Semantic Scholar · dblp · ACL Anthology · ORCID

Topics: Discourse analysis 1 · Speech act theory 1 · Coreference resolution 1 · Machine translation 1

Papers

  1. Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings (2018)
    Standard word embeddings are poor for rare words, and Arabic inflects heavily. The authors change the word2vec skip-gram objective so that the context is predicted from the word vector concatenated with a weighted average of lemma vectors, with lemmas from MADAMIRA. They test the embeddings on an Arabic word…
  2. Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework (2017)
    The paper turns existing semantic annotations into textual-inference (RTE) pairs with templates. Three resources are recast: semantic proto-roles (SPR, about 155k pairs), FrameNet paraphrases (FN+, about 155k) and definite pronoun resolution (DPR, about 3.7k). Each pair is labelled entailed or not from the original…
  3. Modelling the Usage of Discourse Connectives as Rational Speech Acts (2016)
    The paper predicts whether a writer marks a discourse relation with an explicit connective (but, therefore) or leaves it implicit, given the relation sense, on the Penn Discourse Treebank.

Co-authors (7)

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