Improving utilization of lexical knowledge in natural language inference
Tytuł:
Improving utilization of lexical knowledge in natural language inference
Czasopismo:
Rok:
2018
Opis:
Natural language inference is a central problem in NLP. Lexical knowledge, which represents relations between words, is often important for solving NLI problems. This knowledge can be accessed by using an external knowledge base (KB), but this is limited to when such a resource is accessible. Instead of using a KB, we propose a simple architectural change for attention based models.
Tom (seria wydawnicza):
Vol 27
Numer DOI:
10.4467/20838476SI.18.011.10416