Kanan Luce


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CogALex-V Shared Task: LOPE
Kanan Luce | Jiaxing Yu | Shu-Kai Hsieh
Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V)

Automatic discovery of semantically-related words is one of the most important NLP tasks, and has great impact on the theoretical psycholinguistic modeling of the mental lexicon. In this shared task, we employ the word embeddings model to testify two thoughts explicitly or implicitly assumed by the NLP community: (1). Word embedding models can reflect syntagmatic similarities in usage between words to distances in projected vector space. (2). Word embedding models can reflect paradigmatic relationships between words.