We published a press release about launching a Japanese-Chinese machine translation system at JST (5/8) †

• Press release (in Japanese)

We will present the following papers at ACL2018 (2018/7/15-20) (4/23) †

• Tomohide Shibata and Sadao Kurohashi: Entity-Centric Joint Modeling of Japanese Coreference Resolution and Predicate Argument Structure Analysis

• Shuhei Kurita, Daisuke Kawahara and Sadao Kurohashi: Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis

We published a press release about joint research for social problem-solving using LINE (4/12) †

• Press release (in Japanese)

We will present the following paper at NAACL2018 (2018/6/1-6/6) (4/3) †

• Abhishek Kumar, Daisuke Kawahara and Sadao Kurohashi: Knowledge-enriched Two-layered Attention Network for Sentiment Analysis (short)

We will present the following papers at LREC2018 (2018/5/7-5/12) (4/3) †

• Yudai Kishimoto, Shinnosuke Sawada, Yugo Murawaki, Daisuke Kawahara and Sadao Kurohashi: Improving Crowdsourcing-Based Annotation of Japanese Discourse Relations

• Tetsuaki Nakamura and Daisuke Kawahara: JFCKB: Japanese Feature Change Knowledge Base

• Tetsuaki Nakamura and Daisuke Kawahara: JDCFC: A Japanese Dialogue Corpus with Feature Changes

• Tomohiro Sakaguchi, Daisuke Kawahara and Sadao Kurohashi: Comprehensive Annotation of Various Types of Temporal Information on the Time Axis

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.