---
title: "Kevin Duh — papers and cards"
description: "Kevin Duh: 3 paper cards in the Research library (2016–2018), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/kevin-duh/"
---
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# Kevin Duh

3 paper cards in the Research library · 2016–2018

Kevin Duh wrote 3 of the papers Mova reads, in 2016–2018, most of them on [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/), [Speech act theory](https://md.research.elamur.ai/free/en/topics/speech-act-theory/), [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/); often with [Aaron Steven White](https://md.research.elamur.ai/free/en/authors/aaron-steven-white/), [Benjamin Van Durme](https://md.research.elamur.ai/free/en/authors/benjamin-van-durme/), [Frances Yung](https://md.research.elamur.ai/free/en/authors/frances-yung/).

[OpenAlex](https://openalex.org/A5070418792) · [ORCID](https://orcid.org/0000-0001-8107-4383) · [**h-index 42**](https://openalex.org/authors/A5070418792) · [5957 citations](https://openalex.org/authors/A5070418792) · [259 works](https://openalex.org/works?filter=author.id:A5070418792) — 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=Kevin+Duh) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kevin+Duh) · [dblp](https://dblp.org/search?q=Kevin+Duh) · [ACL Anthology](https://aclanthology.org/search/?q=Kevin+Duh) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Kevin+Duh)

Topics: [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) 1 · [Speech act theory](https://md.research.elamur.ai/free/en/topics/speech-act-theory/) 1 · [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 1 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1

## Papers

1. **[Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings](https://md.research.elamur.ai/free/en/papers/aclbulk-2018-shapiro-morphological-word-embeddings-arabic-neural/)** *(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](https://md.research.elamur.ai/free/en/papers/white-2017-inference-is-everything-recasting-semantic/)** *(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](https://md.research.elamur.ai/free/en/papers/yung-2016-modelling-usage-discourse-connectives-as/)** *(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)

- [Aaron Steven White](https://md.research.elamur.ai/free/en/authors/aaron-steven-white/)
- [Benjamin Van Durme](https://md.research.elamur.ai/free/en/authors/benjamin-van-durme/)
- [Frances Yung](https://md.research.elamur.ai/free/en/authors/frances-yung/)
- Pamela Shapiro
- [Pushpendre Rastogi](https://md.research.elamur.ai/free/en/authors/pushpendre-rastogi/)
- Taku Komura
- [Yuji Matsumoto](https://md.research.elamur.ai/free/en/authors/yuji-matsumoto/)

## More papers in the library (5)

Pages of the Research library: our summary, the ideas, references and who cites each.

- [Findings of the IWSLT 2022 Evaluation Campaign](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2022-findings-iwslt-2022-evaluation-campaign/) — Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, et al. · 2022
- [ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension](https://md.research.elamur.ai/free/en/papers/zhang-2018-record-bridging-gap-between-human/) — Sheng Zhang, Xiaodong Liu, Jingjing Liu, et al. · 2018
- [DyNet: The Dynamic Neural Network Toolkit](https://md.research.elamur.ai/free/en/papers/neubig-2017-dynet-dynamic-neural-network-toolkit/) — Graham Neubig, Chris Dyer, Yoav Goldberg, et al. · 2017
- [Ordinal Common-sense Inference](https://md.research.elamur.ai/free/en/papers/zhang-2017-ordinal-common-sense-inference/) — Sheng Zhang, Rachel Rudinger, Kevin Duh, et al. · 2017
- [Automatic Evaluation of Translation Quality for Distant Language Pairs](https://md.research.elamur.ai/free/en/papers/isozaki-2010-automatic-evaluation-translation-quality-distant/) — Hideki Isozaki, Tsutomu Hirao, Kevin Duh, et al. · 2010
