JSAI2018

Presentation information

Oral presentation

General Session » [General Session] 9. NLP / IR

[3G1] [General Session] 9. NLP / IR

Thu. Jun 7, 2018 1:50 PM - 3:30 PM Room G (5F Ruby Hall Hiten)

座長:星野 綾子(日本電気株式会社)

3:10 PM - 3:30 PM

[3G1-05] Semantic Parsing in ccg2lambda and its Application to Financial Document Processing

Yasunori Hokazono4, Takahiro Hasegawa5, Kazuki Watanabe2, 〇Kana Manome1, Yukiko Yana1, Hitomi Yanaka2, Ribeka Tanaka1, Pascual Mart'inez-G'omez3, Koji Mineshima1, Daisuke Bekki1 (1. Ochanomizu University, 2. University of Tokyo, 3. National Institute of Advanced Industrial Science and Technology, 4. Nomura Research Institute, 5. Omega Partners)

Keywords:Recognizing Textual Entailment, Financial Documents, Consistency Checking

In this paper we study the capabilities of ccg2lambda to perform semantic parsing and natural language inferences in the financial domain. We observe that the system is conveniently modular and highly interpretable for humans since it includes graphical visualizations of semantic representations; these visualizations allow us to trace the process of semantic composition and easily identify points of failure. Moreover, it produces results in XML which makes it easy to integrate in larger, in-house systems. The system separates the compositional mechanism from the specification of semantic theories, allowing extensions to handle new linguistic phenomena with a relatively small effort. Finally, we present our approach to adapt the system to the specialized vocabulary that arises in the financial domain by using axioms and ontologies.