We propose an efficient dialogue management for an information navigation system based on a document knowledge base with a spoken dialogue interface. In order to perform robustly ...
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
Language resource quality is crucial in NLP. Many of the resources used are derived from data created by human beings out of an NLP context, especially regarding MT and reference ...
We propose a method to obtain subsentential alignments from several languages simultaneously. The method handles several languages at once, and avoids the complexity explosion due...
We introduce a new type of discourse constraints for the interaction of discourse relations with the configuration of discourse segments. We examine corpus-extracted examples as s...
Reasoning about how much to generate when space is limited is a challenge for generation systems. This paper presents two algorithms that exploit the discourse structure to decide...
We analyse Hindi complex predicates and propose linguistic tests for their detection. This analysis enables us to identify a category of V+V complex predicates called lexical comp...
Our research organization has been constructing a large scale database named SHACHI by collecting detailed meta information on language resources (LRs) in Asia and Western countri...