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Workshop on Argumentation Mining 2014 — accepted papers

Workshop on Argumentation Mining 2014 is the 2014 edition of the Workshop on Argumentation Mining, held in Baltimore, Maryland, June 2014 (publisher: Association for Computational Linguistics). OpenAlex lists 18 papers of it; our library holds 3 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

All accepted papers (18)

The most cited first; 3 with our summary link to their page here, the others to the original.

  1. Analyzing Argumentative Discourse Units in Online InteractionsDebanjan Ghosh, Smaranda Muresan, Nina Wacholder et al.
  2. Applying Argumentation Schemes for Essay ScoringYi Song, Michael Heilman, Beata Beigman Klebanov et al.
  3. Ontology-Based Argument Mining and Automatic Essay ScoringNathan Ong, Diane Litman, Alexandra Brusilovsky
  4. Requirement Mining in Technical DocumentsJuyeon Kang, Patrick Saint-Dizier
  5. Titles That Announce Argumentative Claims in Biomedical Research ArticlesHeather Graves, Roger Graves, Robert Mercer et al.

 Papers with our summary in our library (3)

The most cited first (OpenAlex citations plus our library's).

  1. Identifying Appropriate Support for Propositions in Online User CommentsJoonsuk Park, Claire Cardie2014 · 222 citations
  2. A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial TopicsEhud Aharoni, Anatoly Polnarov, Tamar Lavee, et al.2014 · 195 citations
  3. Extracting Imperatives from Wikipedia Article for Deletion DiscussionsFiona Mao, Robert Mercer, Lu Xiao2014 · 12 citations

 Top topics

Topics of its works in our library, with the number of works on each.

Speech act theory (1)Evaluation & benchmarks (1)

 Fields

Computer Science (3)Arts and Humanities (2)Social Sciences (1)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

 Top institutions

Institutions on the bylines of its works here, by the number of works.

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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