Construct a Sense-Frame Aligned Predicate Lexicon for Chinese AMR Corpus

Li Song, Yuling Dai, Yihuan Liu, Bin Li, Weiguang Qu

Abstract
The study of predicate frame is an important topic for semantic analysis. Abstract Meaning Representation (AMR) is an emerging graph based semantic representation of a sentence. Since core semantic roles defined in the predicate lexicon compose the backbone in an AMR graph, the construction of the lexicon becomes the key issue. The existing lexicons blur senses and frames of predicates, which needs to be refined to meet the tasks like word sense disambiguation and event extraction. This paper introduces the on-going project on constructing a novel predicate lexicon for Chinese AMR corpus. The new lexicon includes 14,389 senses and 10,800 frames of 8,470 words. As some senses can be aligned to more than one frame, and vice versa, we found the alignment between senses is not just one frame per sense. Explicit analysis is given for multiple aligned relations, which proves the necessity of the proposed lexicon for AMR corpus, and supplies real data for linguistic theoretical studies.
Anthology ID:
2020.lrec-1.362
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
2962–2969
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.362
DOI:
Bibkey:
Cite (ACL):
Li Song, Yuling Dai, Yihuan Liu, Bin Li, and Weiguang Qu. 2020. Construct a Sense-Frame Aligned Predicate Lexicon for Chinese AMR Corpus. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 2962–2969, Marseille, France. European Language Resources Association.
Cite (Informal):
Construct a Sense-Frame Aligned Predicate Lexicon for Chinese AMR Corpus (Song et al., LREC 2020)
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