Parser evaluation using textual entailments.
Parser Evaluation using Textual Entailments (PETE) is a shared task in the SemEval-2010 Evaluation Exercises on Semantic Evaluation. The task involves recognizing textual entailments based on syntactic information alone. PETE introduces a new parser evaluation scheme that is formalism independent, l...
| Publicado en: | Language Resources & Evaluation Vol. 47; no. 3; pp. 639 - 660 |
|---|---|
| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Sep2013
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=90015526&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 90015526 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Sep2013 vid: 47 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 90015526 10.1007/s10579-012-9200-5 ppf: 639 ppct: 21 formats: fmt: @attributes: type: P size: 449KB tig: atl: Parser evaluation using textual entailments. aug: au: Yuret, Deniz Rimell, Laura Han, Aydın affil: Koç University, Rumelifeneri Yolu, Sarıyer 34450 Istanbul Turkey Computer Laboratory, William Gates Building, 15 JJ Thomson Avenue Cambridge CB3 0FD UK su: Parsing (Computer grammar) Content analysis Semantics Error analysis in mathematics Semantics (Philosophy) Entailment (Logic) sug: subj: Parsing (Computer grammar) Content analysis Semantics Error analysis in mathematics Semantics (Philosophy) Entailment (Logic) keyword: Parsing Textual entailments ab: Parser Evaluation using Textual Entailments (PETE) is a shared task in the SemEval-2010 Evaluation Exercises on Semantic Evaluation. The task involves recognizing textual entailments based on syntactic information alone. PETE introduces a new parser evaluation scheme that is formalism independent, less prone to annotation error, and focused on semantically relevant distinctions. This paper describes the PETE task, gives an error analysis of the top-performing Cambridge system, and introduces a standard entailment module that can be used with any parser that outputs Stanford typed dependencies. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2013. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2013 holdings: @attributes: islocal: N |
|---|