Takahiro Fukusima

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We report the outline of Text Summarization Challenge 2 (TSC2 hereafter), a sequel text summarization evaluation conducted as one of the tasks at the NTCIR Workshop 3. First, we describe briefly the previous evaluation, Text Summarization Challenge (TSC1) as introduction to TSC2. Then we explain TSC2 including the participants, the two tasks in TSC2, data(More)
We describe the outline of Text Summarization Challenge 2 (TSC2 hereafter), a sequel text summarization evaluation conducted as one of the tasks at the NTCIR Workshop 3. First, we describe briefly the previous evaluation, Text Summarization Challenge (TSC1) as introduction to TSC2. Then we explain TSC2 including the participants, the two tasks in TSC2, data(More)
In this paper, we introduce a large-scale test collection for multiple document summarization, the Text Summarization Challenge 3 (TSC3) corpus. We detail the corpus construction and evaluation measures. The significant feature of the corpus is that it annotates not only the important sentences in a document set, but also those among them that have the same(More)
In order to detect and forgeries in digital data different kind of approaches and techniques are recently proposed and implemented but most of the techniques are not able to deliver complete solution for such kinds of frauds and plagiarism therefore to optimize the existing solutions a review of different kind of plagiarism and there taxonomies are reported(More)
We are aiming to acquire named entity (NE) translation knowledge from nonparallel, content-aligned corpora, by utilizing NE extraction techniques. For this research, we are constructing a JapaneseEnglish broadcast news corpus with NE tags. The tags represent not only NE class information but also coreference information within the same monolingual document(More)
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