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Phillip Keung

Phillip Keung has 2 papers in our library, in 2018–2020, most of them on Multilingual & cross-lingual NLP, Machine translation; often with Yichao Lu, Faisal Ladhak, György Szarvas.

2 papers in our library · 2018–2020

current affiliationAllen Institute for Artificial Intelligence, Seattle, United States

OpenAlex · h-index 7 · 19 works · 447 citations OpenAlex, 2026-10-14

2 works in our library · 159 citations in our library · ⭐ Paper Star rank #3136

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

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

Topics

Multilingual & cross-lingual NLP2Machine translation1

Works by year

2020s

20201 paper

2010s

20181 paper

Papers

The most cited first (OpenAlex and our library).

  1. The Multilingual Amazon Reviews Corpus (2020 · 255 citations)
    Multilingual text classification lacks large, openly available benchmarks. Existing options such as RCV1/RCV2, MLDoc, XNLI, Yelp and earlier Amazon review releases are small, hard to obtain, missing non-English training data, unreliable about language labels, or lacking fixed splits. The authors address this gap with…
  2. A neural interlingua for multilingual machine translation (2018 · 178 citations)
    Multilingual NMT usually takes one of two routes. One trains a separate model for every language pair, so the number of models grows quadratically. The other shares a single encoder-decoder and a joint vocabulary, which forces many languages into one fixed-size output layer. Lu et al. (Amazon) propose a middle path.…

Co-authors here

4 co-authors with a page, the most papers together first.

Cited by

Papers of our library cite their works 159 times (of the 140 884 papers whose bibliographies we read); 13 citing papers with a page here →.

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