ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet

Rui Mao; Guanyi Chen; Ruizhe Li; Chenghua Lin

ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet

Rui Mao, Guanyi Chen, Ruizhe Li, Chenghua Lin

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Abstract

This paper describes the system that we submitted for SemEval-2018 task 10: Capturing discriminative attributes. Our system is built upon a simple idea of measuring the attribute word's similarity with each of the two semantically similar words, based on an extended word embedding method, and WordNet. Instead of computing the similarities between the attribute and semantically similar words by using standard word embeddings, we propose a novel method that combines word and context embeddings which can better measure similarities. Our model is simple and effective, which achieves an average F1 score of 0.62 on the test set.

Original language	English
Title of host publication	The International Workshop on Semantic Evaluation
Subtitle of host publication	Proceedings of the Twelfth Workshop
Editors	Marianna Apidianaki, Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
Place of Publication	New Orleans, USA
Publisher	Association for Computational Linguistics (ACL)
Pages	1017–1021
Number of pages	4
ISBN (Electronic)	9781948087209
ISBN (Print)	978-1-948087-20-9
Publication status	Published - 1 Jun 2018
Event	12th International Workshop on Semantic Evaluation (SemEval-2018) - New Orleans, United States Duration: 5 Jun 2018 → 6 Jun 2018

Publication series

Name	NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop

Conference

Conference	12th International Workshop on Semantic Evaluation (SemEval-2018)
Country/Territory	United States
City	New Orleans
Period	5/06/18 → 6/06/18

Access to Document

http://www.aclweb.org/anthology/S18-1169Licence: Unspecified

Cite this

Mao, R., Chen, G., Li, R., & Lin, C. (2018). ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet. In M. Apidianaki, M. Apidianaki, S. M. Mohammad, J. May, E. Shutova, S. Bethard, & M. Carpuat (Eds.), The International Workshop on Semantic Evaluation: Proceedings of the Twelfth Workshop (pp. 1017–1021). (NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop). Association for Computational Linguistics (ACL). http://www.aclweb.org/anthology/S18-1169

ABDN at SemEval-2018 Task 10 : Recognising Discriminative Attributes using Context Embeddings and WordNet. / Mao, Rui; Chen, Guanyi; Li, Ruizhe et al.

The International Workshop on Semantic Evaluation: Proceedings of the Twelfth Workshop. ed. / Marianna Apidianaki; Marianna Apidianaki; Saif M. Mohammad; Jonathan May; Ekaterina Shutova; Steven Bethard; Marine Carpuat. New Orleans, USA : Association for Computational Linguistics (ACL), 2018. p. 1017–1021 (NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop).

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Mao, R, Chen, G, Li, R & Lin, C 2018, ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet. in M Apidianaki, M Apidianaki, SM Mohammad, J May, E Shutova, S Bethard & M Carpuat (eds), The International Workshop on Semantic Evaluation: Proceedings of the Twelfth Workshop. NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop, Association for Computational Linguistics (ACL), New Orleans, USA, pp. 1017–1021, 12th International Workshop on Semantic Evaluation (SemEval-2018), New Orleans, United States, 5/06/18. <http://www.aclweb.org/anthology/S18-1169>

Mao R, Chen G, Li R, Lin C. ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet. In Apidianaki M, Apidianaki M, Mohammad SM, May J, Shutova E, Bethard S, Carpuat M, editors, The International Workshop on Semantic Evaluation: Proceedings of the Twelfth Workshop. New Orleans, USA: Association for Computational Linguistics (ACL). 2018. p. 1017–1021. (NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop).

Mao, Rui ; Chen, Guanyi ; Li, Ruizhe et al. / ABDN at SemEval-2018 Task 10 : Recognising Discriminative Attributes using Context Embeddings and WordNet. The International Workshop on Semantic Evaluation: Proceedings of the Twelfth Workshop. editor / Marianna Apidianaki ; Marianna Apidianaki ; Saif M. Mohammad ; Jonathan May ; Ekaterina Shutova ; Steven Bethard ; Marine Carpuat. New Orleans, USA : Association for Computational Linguistics (ACL), 2018. pp. 1017–1021 (NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop).

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abstract = "This paper describes the system that we submitted for SemEval-2018 task 10: Capturing discriminative attributes. Our system is built upon a simple idea of measuring the attribute word's similarity with each of the two semantically similar words, based on an extended word embedding method, and WordNet. Instead of computing the similarities between the attribute and semantically similar words by using standard word embeddings, we propose a novel method that combines word and context embeddings which can better measure similarities. Our model is simple and effective, which achieves an average F1 score of 0.62 on the test set.",

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ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet

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