Nobuaki Hiroshima

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Topics mentioned in blogspace are biased towards interesting/ funny or entertainment-related topics compared to articles in the generic web space and there are many personal opinions on products or services. Making good use of these characteristics, we introduce a new blog search engine that provides multiple interfaces, each targeted at a different goal,(More)
We have introduced a search engine that can extract opinion sentences relevant to an open-domain query from Japanese blog pages. The engine identifies opinions based not only on positive or negative measurements but also on neutral opinions, requests, advice, and thoughts. To retrieve a number of opinion sentences that a user could reasonably be expected to(More)
This paper describes a system that automatically generates meeting minutes by extracting a topic hierarchy from a meeting's speech. The topic hierarchy is a tree structure whose nodes comprise a topic summary. The topic structure extraction process converts speech recognition results into a word conceptual vector sequence and divides the sequence into the(More)
This paper presents a method for searching the web for sentences expressing opinions. To retrieve an appropriate number of opinions that users may want to read, declaratively subjective clues are used to judge whether a sentence expresses an opinion. We collected declaratively subjective clues in opinion-expressing sentences from Japanese web pages(More)
Current automatic speech recognition (ASR) systems have to limit their vocabulary size depending on available memory size, expected processing time, and available text data for building a vocabulary and a language model. Although the vocabularies of ASR systems are designed to achieve high coverage for the expected input data, it cannot be avoided that(More)
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