13 citations · 43 across the 29 of their papers we have counts for
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cs.CL2022
MAPS-KB: A Million-scale Probabilistic Simile Knowledge Base
Qianyu He, Xintao Wang, Jiaqing Liang +1
The ability to understand and generate similes is an imperative step to realize human-level AI. However, there is still a considerable gap between machine intelligence and human co…
cs.CL2022★ 4 cited
Language Models as Knowledge Embeddings
Xintao Wang, Qianyu He, Jiaqing Liang +1
Knowledge embeddings (KE) represent a knowledge graph (KG) by embedding entities and relations into continuous vector spaces. Existing methods are mainly structure-based or descrip…
cs.CL2022★ 1 cited
Can Pre-trained Language Models Interpret Similes as Smart as Human?
Qianyu He, Sijie Cheng, Zhixu Li +2
Simile interpretation is a crucial task in natural language processing. Nowadays, pre-trained language models (PLMs) have achieved state-of-the-art performance on many tasks. Howev…