Generating flexible proper name references in text

Data, models and evaluation

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

This study introduces a statistical model able to generate variations of a proper name, taking into account the person to be mentioned, the discourse context and individual variation. The model relies on the REGnames corpus, a dataset with 53,102 proper name references to 1,000 people in different discourse contexts. We evaluate the versions of our model in the perspective of how human writers produce proper names, and also how human readers process them.
Original languageEnglish
Title of host publicationProceedings of the European Chapter of the Association for Computational Linguistics
Subtitle of host publicationEACL 2017
PublisherAssociation for Computational Linguistics (ACL)
Publication statusPublished - 1 Apr 2017
EventEuropean Chapter of the Association for Computational Linguistics 2017 - Valencia, Spain
Duration: 3 Apr 20177 Apr 2017
Conference number: 15
http://eacl2017.org/

Conference

ConferenceEuropean Chapter of the Association for Computational Linguistics 2017
Abbreviated titleEACL 2017
CountrySpain
CityValencia
Period3/04/177/04/17
Internet address

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Data structures
Statistical Models

Cite this

Castro Ferreira, T., Krahmer, E., & Wubben, S. (2017). Generating flexible proper name references in text: Data, models and evaluation. In Proceedings of the European Chapter of the Association for Computational Linguistics: EACL 2017 Association for Computational Linguistics (ACL).
Castro Ferreira, Thiago ; Krahmer, Emiel ; Wubben, Sander. / Generating flexible proper name references in text : Data, models and evaluation. Proceedings of the European Chapter of the Association for Computational Linguistics: EACL 2017. Association for Computational Linguistics (ACL), 2017.
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abstract = "This study introduces a statistical model able to generate variations of a proper name, taking into account the person to be mentioned, the discourse context and individual variation. The model relies on the REGnames corpus, a dataset with 53,102 proper name references to 1,000 people in different discourse contexts. We evaluate the versions of our model in the perspective of how human writers produce proper names, and also how human readers process them.",
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Castro Ferreira, T, Krahmer, E & Wubben, S 2017, Generating flexible proper name references in text: Data, models and evaluation. in Proceedings of the European Chapter of the Association for Computational Linguistics: EACL 2017. Association for Computational Linguistics (ACL), European Chapter of the Association for Computational Linguistics 2017, Valencia, Spain, 3/04/17.

Generating flexible proper name references in text : Data, models and evaluation. / Castro Ferreira, Thiago; Krahmer, Emiel; Wubben, Sander.

Proceedings of the European Chapter of the Association for Computational Linguistics: EACL 2017. Association for Computational Linguistics (ACL), 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Castro Ferreira T, Krahmer E, Wubben S. Generating flexible proper name references in text: Data, models and evaluation. In Proceedings of the European Chapter of the Association for Computational Linguistics: EACL 2017. Association for Computational Linguistics (ACL). 2017