Contextual Compositionality Detection with External Knowledge Bases and Word Embeddings-Reference-Cited by-同舟云学术

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Contextual Compositionality Detection with External Knowledge Bases and Word Embeddings

Published:2019-05-13 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of The 2019 World Wide Web Conference
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Author:

Wang Dongsheng¹,Li Qiuchi²,Chaves Lima Lucas,Grue Simonsen Jakob,Lioma Christina

Affiliation:

1. Univ. of Copenhagen

2. Univ. of Padova

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3308560.3316584

Reference17 articles.

1. An empirical model of multiword expression decomposability

2. A Multiword Expression Data Set: Annotating Non-Compositionality and Conventionalization for English Noun Compounds

3. Kazuma Hashimoto and Yoshimasa Tsuruoka. 2016. Adaptive joint learning of compositional and non-compositional phrase embeddings. arXiv preprint arXiv:1603.06067(2016). Kazuma Hashimoto and Yoshimasa Tsuruoka. 2016. Adaptive joint learning of compositional and non-compositional phrase embeddings. arXiv preprint arXiv:1603.06067(2016).

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1. A Survey on Conversational Search and Applications in Biomedicine;Proceedings of the 2023 ACM Southeast Conference;2023-04-12

2. Contextually Propagated Term Weights for Document Representation;Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval;2019-07-18

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