Staff View: LANGUAGE RESOURCES AND EVALUATION

LANGUAGE RESOURCES AND EVALUATION

Main Author:	Preslav Nakov, Torsten Zesch
Format:	Jurnal
Language:	Bahasa Inggris
Published:	Springer 2016
Subjects:	Computational semantic analysis of language: SemEval 2014 and beyond (Preslav Nakov, Torsten Zesch) ; Cross level semantic similarity: an evaluation framework for universal measures of similarity (David Jurgens, Mohammad Taher Pilehvar) ; Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts (Preslav Nakov, Sara Rosenthal, Svetlana Kiritchenko) ; The joint student response analysis and recognizing textual entailment challenge: making sense of student responses in educational applications (Myroslava O. Dzikovska, Rodney D. Nielsen) ; SICK through the SemEval glasses. Lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment (Luisa Bentivogli, Raffaella Bernardi, Marco Marelli) ; Robust semantic text similarity using LSA, machine learning, and linguistic resources (Abhay Kashyap, Lushan Han, Roberto Yus).
Online Access:	http://oaipmh-jogjalib.umy.ac.idkatalog.php?opo=lihatDetilKatalog&id=80364

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id	oai:lib.umy.ac.id:80364
recordtype	oai_dc
spelling	oai:lib.umy.ac.id:803642021-06-16T13:10:38ZLANGUAGE RESOURCES AND EVALUATIONPreslav Nakov, Torsten ZeschComputational semantic analysis of language: SemEval2014 and beyond (Preslav Nakov, Torsten Zesch) ; Cross level semantic similarity: an evaluation framework for universal measures of similarity (David Jurgens, Mohammad Taher Pilehvar) ; Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts (Preslav Nakov, Sara Rosenthal, Svetlana Kiritchenko) ; The joint student response analysis and recognizing textual entailment challenge: making sense of student responses in educational applications (Myroslava O. Dzikovska, Rodney D. Nielsen) ; SICK through the SemEval glasses. Lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment (Luisa Bentivogli, Raffaella Bernardi, Marco Marelli) ; Robust semantic text similarity using LSA, machine learning, and linguistic resources (Abhay Kashyap, Lushan Han, Roberto Yus).Springer2016Jurnal1-161ISBN:ISSN 1572-8412ARAL Tahun Vol. No. 2016 50 1 (PBI) pascaBahasa Inggrishttp://oaipmh-jogjalib.umy.ac.idkatalog.php?opo=lihatDetilKatalog&id=80364
institution	Universitas Muhammadiyah Yogyakarta
collection	Perpustakaan Yogyakarta
language	Bahasa Inggris
topic	Computational semantic analysis of language: SemEval 2014 and beyond (Preslav Nakov, Torsten Zesch) ; Cross level semantic similarity: an evaluation framework for universal measures of similarity (David Jurgens, Mohammad Taher Pilehvar) ; Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts (Preslav Nakov, Sara Rosenthal, Svetlana Kiritchenko) ; The joint student response analysis and recognizing textual entailment challenge: making sense of student responses in educational applications (Myroslava O. Dzikovska, Rodney D. Nielsen) ; SICK through the SemEval glasses. Lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment (Luisa Bentivogli, Raffaella Bernardi, Marco Marelli) ; Robust semantic text similarity using LSA, machine learning, and linguistic resources (Abhay Kashyap, Lushan Han, Roberto Yus).
spellingShingle	Computational semantic analysis of language: SemEval 2014 and beyond (Preslav Nakov, Torsten Zesch) ; Cross level semantic similarity: an evaluation framework for universal measures of similarity (David Jurgens, Mohammad Taher Pilehvar) ; Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts (Preslav Nakov, Sara Rosenthal, Svetlana Kiritchenko) ; The joint student response analysis and recognizing textual entailment challenge: making sense of student responses in educational applications (Myroslava O. Dzikovska, Rodney D. Nielsen) ; SICK through the SemEval glasses. Lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment (Luisa Bentivogli, Raffaella Bernardi, Marco Marelli) ; Robust semantic text similarity using LSA, machine learning, and linguistic resources (Abhay Kashyap, Lushan Han, Roberto Yus). Preslav Nakov, Torsten Zesch LANGUAGE RESOURCES AND EVALUATION
description
format	Jurnal
author	Preslav Nakov, Torsten Zesch
author_sort	Preslav Nakov, Torsten Zesch
title	LANGUAGE RESOURCES AND EVALUATION
title_short	LANGUAGE RESOURCES AND EVALUATION
title_full	LANGUAGE RESOURCES AND EVALUATION
title_fullStr	LANGUAGE RESOURCES AND EVALUATION
title_full_unstemmed	LANGUAGE RESOURCES AND EVALUATION
title_sort	language resources and evaluation
physical	1-161
publisher	Springer
publishDate	2016
url	http://oaipmh-jogjalib.umy.ac.idkatalog.php?opo=lihatDetilKatalog&id=80364
isbn	ISBN:ISSN 1572-8412
callnumber-raw	ARAL Tahun Vol. No. 2016 50 1 (PBI) pasca
callnumber-search	ARAL Tahun Vol. No. 2016 50 1 (PBI) pasca
_version_	1702754284336054272
score	14.79448

LANGUAGE RESOURCES AND EVALUATION

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