Comprehensive Annotation of Multiword Expressions in a Social Web Corpus

Nathan Schneider, Spencer Onuffer, Nora Kazour, Emily Danchik, Michael T. Mordowanec, Henrietta Conrad, Noah A. Smith

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Abstract
Multiword expressions (MWEs) are quite frequent in languages such as English, but their diversity, the scarcity of individual MWE types, and contextual ambiguity have presented obstacles to corpus-based studies and NLP systems addressing them as a class. Here we advocate for a comprehensive annotation approach: proceeding sentence by sentence, our annotators manually group tokens into MWEs according to guidelines that cover a broad range of multiword phenomena. Under this scheme, we have fully annotated an English web corpus for multiword expressions, including those containing gaps.
Anthology ID:
L14-1433
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
455–461
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/521_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Nathan Schneider, Spencer Onuffer, Nora Kazour, Emily Danchik, Michael T. Mordowanec, Henrietta Conrad, and Noah A. Smith. 2014. Comprehensive Annotation of Multiword Expressions in a Social Web Corpus. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 455–461, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Comprehensive Annotation of Multiword Expressions in a Social Web Corpus (Schneider et al., LREC 2014)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/521_Paper.pdf