One of the greatest challenges facing our society is the discovery of ne...
Ultra-fine entity typing (UFET) is the task of inferring the semantic ty...
Learning vectors that capture the meaning of concepts remains a fundamen...
Automatic material discovery with desired properties is a fundamental
ch...
This paper introduces a novel method for merging open-domain terminologi...
One of the long-standing challenges in lexical semantics consists in lea...
While the success of pre-trained language models has largely eliminated ...
This paper proposes a tentative and original survey of meeting points be...
While many methods for learning vector space embeddings have been propos...
One of the most remarkable properties of word embeddings is the fact tha...
Several recently proposed methods aim to learn conceptual space
represen...
Word embedding models such as GloVe rely on co-occurrence statistics fro...
Word embeddings have been found to capture a surprisingly rich amount of...
We propose a general framework for inconsistency-tolerant query answerin...