Extracting logical forms from corpora by using Combinatory Categorial Grammar

2014 Fiscal Year Final Research Report

• Project/Area Number: 24500189
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Intelligent informatics
• Research Institution: Osaka Gakuin University
• Principal Investigator: OTANI AKIRA 大阪学院大学, 情報学部, 准教授 (50283817)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: 語彙化文法 / 組合せ範疇文法 / CCG / 論理形式 / 言語情報抽出 / コーパス / 語彙項目 / 格交替

Outline of Final Research Achievements

This research project designed a Japanese lexicalized grammar based on Combinatory Categorial Grammar (CCG) and considered an algorithm of (semi-)automatically extracting logical forms from corpora by using CCG derivations. When sentences get longer because of some linguistic complexity the parsing performance deteriorates. Under the framework of CCG, we analyzed such linguistic matters as multiple-GA, GA-NO conversion and locative NI-DE alternation in Japanese, and proposed a syntactic and semantic parsing strategy, which is also available for inducing a CCG grammar from an annotated corpus.

Free Research Field

理論言語学・計算言語学