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James Cross

Researcher at Facebook

Publications -  65
Citations -  1619

James Cross is an academic researcher from Facebook. The author has contributed to research in topics: Machine translation & Computer science. The author has an hindex of 18, co-authored 58 publications receiving 1092 citations. Previous affiliations of James Cross include University of Washington & City University of New York.

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Exploring the Political Agenda of the European Parliament Using a Dynamic Topic Modeling Approach

TL;DR: The authors analyzed the political agenda of the European Parliament (EP) plenary, how it has evolved over time, and the manner in which MEPs have reacted to external and internal stimuli when making plenary speeches.
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Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles.

TL;DR: This article proposed a shift-reduce system whose stack contains merely sentence spans, represented by a bare minimum of LSTM features, which achieves the best F1 scores on both English and French of any parser that does not use re-ranking or external data.
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A new dataset on decision-making in the European Union before and after the 2004 and 2007 enlargements (DEUII)

TL;DR: A new dataset on decision-making in the European Union (DEUII) is presented that revises and expands a previous dataset and identifies its relevance to several research agendas in EU studies.
Proceedings ArticleDOI

Incremental Parsing with Minimal Features Using Bi-Directional LSTM

TL;DR: The authors used bi-directional LSTM sentence representations to model a parser state with only three sentence positions, which automatically identifies important aspects of the entire sentence and achieved state-of-the-art results among greedy dependency parsers for English.