Combining Word Embedding and Lexical Database for Semantic Relatedness Measurement - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Yang-Yin Lee, Hao Ke, Hen-Hsen Huang, Hsin-Hsi Chen. Combining Word Embedding and Lexical Database for Semantic Relatedness Measurement. In Jacqueline Bourdeau, Jim Hendler, Roger Nkambou, Ian Horrocks, Ben Y. Zhao, editors, Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11-15, 2016, Companion Volume. pages 73-74, ACM, 2016. [doi]

The following publications are possibly variants of this publication:

Combining and learning word embedding with WordNet for semantic relatedness and similarity measurementYang-Yin Lee, Hao Ke, Ting-Yu Yen, Hen-Hsen Huang, Hsin-Hsi Chen. jasis, 71(6):657-670, 2020. [doi]

Enhancing Accuracy of Semantic Relatedness Measurement by Word Single-Meaning EmbeddingsXiaotao Li, Shujuan You, Wai Chen. access, 9:117424-117433, 2021. [doi]

runs on WebDSL