High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...
This paper describes the participation of Columbus Project of Microsoft Research Asia (MSRA) in the GeoCLEF 2006 (a cross-language geographical retrieval track which is part of Cr...
Zhisheng Li, Chong Wang 0002, Xing Xie, Xufa Wang,...
We present a question answering (QA) system which learns how to detect and rank answer passages by analyzing questions and their answers (QA pairs) provided as training data. We b...
We propose a new text mining system which extracts characteristic contents from given documents. We define Key semantics as characteristic sub-structures of syntactic dependencie...
The Spoken Document Processing Working Group, which is part of the special interest group of spoken language processing of the Information Processing Society of Japan, is developi...