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

[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.