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Collecting all the papers in a research field is a first step towards an exhaustive survey. A number of research paper databases, which are provided by libraries, publishing companies and academic societies, are available for searching papers. However, searchers are compelled to repeat the same search operation for each database if there are multiple(More)
This paper introduces the Patent Mining Task of the Seventh TCIR Workshop and the test collections produced in this task. The task's goal was the classification of research papers written in either Japanese or English in terms of the International Patent Classification (IPC) system, which is a global standard. For this task, 12 participant groups submitted(More)
This paper introduces the Patent Mining Task at the Eighth NTCIR Workshop and the test collections produced in this task. The purpose of the Patent Mining Task is to create technical trend maps from a set of research papers and patents. We performed two subtasks: (1) the subtask of research papers classification and (2) the subtask of technical trend map(More)
The history of the elemental technologies (underlying technologies) used in a particular research field is essential for anal yz-ing technical trend in the field. However, it is too costly and time-consuming to collect and read all of the papers in the field for the purpose of this analysis. Therefore, we have constructed a system that can recognize the(More)
In this paper, we describe a method for automatic acquisition of script knowledge from a Japanese text collection. Script knowledge represents a typical sequence of actions that occur in a particular situation. We extracted sequences (pairs) of actions occurring in time order from a Japanese text collection and then chose those that were typical of certain(More)
In this paper, we propose a method for compiling travel information automatically. For the compilation , we focus on travel blogs, which are defined as travel journals written by bloggers in diary form. We consider that travel blogs are a useful information source for obtaining travel information, because many bloggers' travel experiences are written in(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)
To solve a problemof how to evaluate computer-produced summaries, a number of automaticand manual methods have been proposed. Manual methods evaluate summaries correctly, because humans evaluate them, but are costly. On the other hand, automatic methods, which use evaluation tools or programs, are low cost, although these methods cannot evaluate summaries(More)