Construction and Alignment of Multilingual Entailment Graphs for Semantic Inference
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:
- 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)