Prof. Kurohashi was appointed to the reserach supervisor of PRESTO "Fundamental Information Technologies toward Innovative Social System Design." (6/5) †

We will present following papers at ACL2016 (2016/8/7-12) (5/25) †

• Tomohide Shibata, Daisuke Kawahara and Sadao Kurohashi: Neural Network-Based Model for Japanese Predicate Argument Structure Analysis
• Hitoshi Otsuki, Chenhui Chu, Toshiaki Nakazawa and Sadao Kurohashi: Dependency Forest based Word Alignment (Student Research Workshop)
• Raj Dabre, Yevgeniy Puzikov, Fabien Cromieres and Sadao Kurohashi: The Kyoto University Cross-Lingual Pronoun Translation System (WMT 2016)
• Yu Shen, Chenhui Chu, Fabien Cromieres and Sadao Kurohashi: Cross-language Projection of Dependency Trees with Constrained Partial Parsing for Tree-to-Tree Machine Translation (WMT 2016)

We will present following papers at NAACL2016 (2016/6/12-17) (3/12) †

• Yugo Murawaki: Statistical Modeling of Creole Genesis

• John Richardson, Fabien Cromieres, Toshiaki Nakazawa and Sadao Kurohashi: Flexible Non-Terminals for Dependency Tree-to-Tree Reordering

• Yuichiro Machida, Daisuke Kawahara, Sadao Kurohashi and Manabu Sassano: Design of Word Association Games using Dialog Systems for Acquisition of Word Association Knowledge (AKBC 2016)

• Tetsuaki Nakamura and Daisuke Kawahara: Constructing a Dictionary Describing Feature Changes of Arguments in Event Sentences (EVENTS 2016)

Search Engine Infrastructure based on Deep Natural Language Processing †

The essential purpose of information retrieval is not to retrieve just a relevant document but to acquire the information or knowledge in the document. We have been developing a next-generation infrastructure of information retrieval on the basis of the following techniques of deep natural language processing: precise processing based not on words but on predicate-argument structures, identifying the variety of linguistic expressions and providing a bird's-eye view of search results via clustering and interaction.

Machine Translation †

To bring automatic translation by computers to the level of human translation, we have been studying next-generation methodology of machine translation on the basis of text understanding and a large collection of translation examples. We have already accomplished practical translation on the domain of travel conversation, and constructed a translation-aid system that can be used by experts of patent translation.