What's Hot in Human Language Technology: Highlights from NAACL HLT 2015

نویسندگان

  • Joyce Yue Chai
  • Anoop Sarkar
  • Rada Mihalcea
چکیده

Meaning Representation (AMR) is a semantic representation language which intends to assign the same graph representation to capture the semantics from sentences with the same basic meaning. This representation has received increasing attention in the NLP community because of its simplicity and expressive power. Vanderwende and colleagues (Vanderwende, Menezes, and Quirk 2015) have demonstrated a parser that can generate AMR not only for English sentences, but also for sentences in French, German, Spanish and Japanese where AMR annotations are not available. A visualization tool is introduced by Saphra and Lopez (Saphra and Lopez 2015) which will allow developers to better explore AMR annotations for cross-language alignments. Beyond semantic processing, Surdeanu and colleagues demonstrated two open-source discourse parsers for Rhetorical Structure Theory (Surdeanu, Hicks, and Valenzuela-Escarcega 2015) from text.

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تاریخ انتشار 2016