most citedBuilding a Test Collection for Speech-Driven Web Retrieval

18 citations · 25 across the 5 of their papers we have counts for

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cs.CL20034 cited

A Cross-media Retrieval System for Lecture Videos

Atsushi Fujii, Katunobu Itou, Tomoyosi Akiba +1

We propose a cross-media lecture-on-demand system, in which users can selectively view specific segments of lecture videos by submitting text queries. Users can easily formulate qu…

cs.CL200318 cited

Building a Test Collection for Speech-Driven Web Retrieval

Atsushi Fujii, Katunobu Itou

This paper describes a test collection (benchmark data) for retrieval systems driven by spoken queries. This collection was produced in the subtask of the NTCIR-3 Web retrieval tas…

cs.CL20025 cited

Speech-Driven Text Retrieval: Using Target IR Collections for Statistical Language Model Adaptation in Speech Recognition

Atsushi Fujii, Katunobu Itou, Tetsuya Ishikawa

Speech recognition has of late become a practical technology for real world applications. Aiming at speech-driven text retrieval, which facilitates retrieving information with spok…

cs.CL20026 cited

PRIME: A System for Multi-lingual Patent Retrieval

Shigeto Higuchi, Masatoshi Fukui, Atsushi Fujii +1

Given the growing number of patents filed in multiple countries, users are interested in retrieving patents across languages. We propose a multi-lingual patent retrieval system, wh…

cs.CL20026 cited

Applying a Hybrid Query Translation Method to Japanese/English Cross-Language Patent Retrieval

Masatoshi Fukui, Shigeto Higuchi, Youichi Nakatani +3

This paper applies an existing query translation method to cross-language patent retrieval. In our method, multiple dictionaries are used to derive all possible translations for an…

cs.CL2002

A Probabilistic Method for Analyzing Japanese Anaphora Integrating Zero Pronoun Detection and Resolution

Kazuhiro Seki, Atsushi Fujii, Tetsuya Ishikawa

This paper proposes a method to analyze Japanese anaphora, in which zero pronouns (omitted obligatory cases) are used to refer to preceding entities (antecedents). Unlike the case…