StruAP: A Tool for Bundling Linguistic Trees through Structure-based Abstract Pattern
Kohsuke Yanai, Misa Sato, Toshihiko Yanase, Kenzo Kurotsuchi, Yuta Koreeda, Yoshiki Niwa
Abstract
We present a tool for developing tree structure patterns that makes it easy to define the relations among textual phrases and create a search index for these newly defined relations. By using the proposed tool, users develop tree structure patterns through abstracting syntax trees. The tool features (1) intuitive pattern syntax, (2) unique functions such as recursive call of patterns and use of lexicon dictionaries, and (3) whole workflow support for relation development and validation. We report the current implementation of the tool and its effectiveness.- Anthology ID:
- D17-2006
- Volume:
- Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- Month:
- September
- Year:
- 2017
- Address:
- Copenhagen, Denmark
- Editors:
- Lucia Specia, Matt Post, Michael Paul
- Venue:
- EMNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 31–36
- Language:
- URL:
- https://aclanthology.org/D17-2006
- DOI:
- 10.18653/v1/D17-2006
- Cite (ACL):
- Kohsuke Yanai, Misa Sato, Toshihiko Yanase, Kenzo Kurotsuchi, Yuta Koreeda, and Yoshiki Niwa. 2017. StruAP: A Tool for Bundling Linguistic Trees through Structure-based Abstract Pattern. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 31–36, Copenhagen, Denmark. Association for Computational Linguistics.
- Cite (Informal):
- StruAP: A Tool for Bundling Linguistic Trees through Structure-based Abstract Pattern (Yanai et al., EMNLP 2017)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/D17-2006.pdf