Construction and Alignment of Multilingual Entailment Graphs for Semantic Inference

Sabine Weber, Mark Steedman


Abstract
This paper presents ongoing work on the construction and alignment of predicate entailment graphs in English and German. We extract predicate-argument pairs from large corpora of monolingual English and German news text and construct monolingual paraphrase clusters and entailment graphs. We use an aligned subset of entities to derive the bilingual alignment of entities and relations, and achieve better than baseline results on a translated subset of a predicate entailment data set (Levy and Dagan, 2016) and the German portion of XNLI (Conneau et al., 2018).
Anthology ID:
W19-3625
Volume:
Proceedings of the 2019 Workshop on Widening NLP
Month:
August
Year:
2019
Address:
Florence, Italy
Editors:
Amittai Axelrod, Diyi Yang, Rossana Cunha, Samira Shaikh, Zeerak Waseem
Venue:
WiNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
77–79
Language:
URL:
https://aclanthology.org/W19-3625
DOI:
Bibkey:
Cite (ACL):
Sabine Weber and Mark Steedman. 2019. Construction and Alignment of Multilingual Entailment Graphs for Semantic Inference. In Proceedings of the 2019 Workshop on Widening NLP, pages 77–79, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Construction and Alignment of Multilingual Entailment Graphs for Semantic Inference (Weber & Steedman, WiNLP 2019)
Copy Citation: