Lexicosyntactic Inference in Neural Models

Aaron Steven White, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
2018 Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing  
We investigate neural models' ability to capture lexicosyntactic inferences: inferences triggered by the interaction of lexical and syntactic information. We take the task of event factuality prediction as a case study and build a factuality judgment dataset for all English clause-embedding verbs in various syntactic contexts. We use this dataset, which we make publicly available, to probe the behavior of current state-of-the-art neural systems, showing that these systems make certain
more » ... errors that are clearly visible through the lens of factuality prediction.
doi:10.18653/v1/d18-1501 dblp:conf/emnlp/WhiteRRD18 fatcat:kndiqv744bhtjhu6pgn65poejy