Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach - Citegraph

Paper Info

Title
Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach

Year	Venue	Field
2019	north american chapter of the association for computational linguistics	Negation,Computer science,Artificial intelligence,Natural language processing,Reinforcement learning
DocType	Citations	PageRank
Conference	0	0.34
References	Authors
0	3

Authors (3 rows)

Cited by (0 rows)

References (0 rows)

Name	Order	Citations	PageRank
Nicolas Prollochs	1	27	7.01
Stefan Feuerriegel	2	219	31.91
Dirk Neumann	3	294	37.29

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