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Christopher Hidey

Christopher Hidey has 3 papers in our library, in 2016–2019, most of them on Discourse analysis; often with Kathy McKeown, Alyssa Hwang, Elena Musi.

3 papers in our library · 2016–2019

OpenAlex · h-index 10 · 35 works · 572 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 124 times in our library · ⭐ Paper Stars ranking: #3940

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

🎓Columbia UniversityNew York · United States2017–2021 · 20 papers🏢GoogleMountain View · United States2022–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksPhilosophy · 1 workBiochemistry, Genetics and Molecular Biology · 1 workMolecular Biology · 1 work

🧭 Topics 1Research subjects and languages the work is about.Discourse analysis · 1 work

 Works by year

2010s

20191 paperDiscourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks20171 paperAnalyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum20161 paperIdentifying Causal Relations Using Parallel Wikipedia Articles

 Papers

The most cited first (OpenAlex and our library).

  1. Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum (2017 · 166 citations)
    The paper tackles a gap in argument mining. Most persuasion research has studied discourse-level signals such as connectives, hedges and argument structure, but the conceptual content of arguments has received little attention, largely because annotated data is missing. The authors build such data from the Change My…
  2. Identifying Causal Relations Using Parallel Wikipedia Articles (2016 · 149 citations)
    The paper tackles automatic detection of causality in text, focusing on AltLexes: open-class phrases like "prompting" or "thanks to" that signal causal links.
  3. Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks (2019 · 39 citations)
    This work addresses discourse relation classification in the Penn Discourse Tree Bank (PDTB). The focus is implicit relations, where no connective such as "because" signals the link between two text spans. Earlier systems used cross-argument word pairs as discrete features, which produced very sparse feature spaces.…

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 124 times (of the 141,840 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated

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