Asian and Low-Resource Language Information Processing (TALLIP)


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ACM Transactions on Asian Language Information Processing (TALIP), Volume 4 Issue 3, September 2005

Preface to the special issues on NTCIR-4
Hiroshi Nakagawa, Tatsunori Mori, Noriko Kando
Pages: 237-242
DOI: 10.1145/1111667.1111668

Are open-domain question answering technologies useful for information access dialogues?---an empirical study and a proposal of a novel challenge
Tsuneaki Kato, Jun'ichi Fukumoto, Fumito Masui, Noriko Kando
Pages: 243-262
DOI: 10.1145/1111667.1111669
There are strong expectations for the use of question answering technologies in information access dialogues, such as for information gathering and browsing. In this paper, we empirically examine what kinds of abilities are needed for question...

An analysis of a high-performance japanese question answering system
Hideki Isozaki
Pages: 263-279
DOI: 10.1145/1111667.1111670
Twenty-five Japanese Question Answering systems participated in NTCIR QAC2 subtask 1. Of these, our system SAIQA-QAC2 performed the best: MRR = 0.607. SAIQA-QAC2 is an improvement on our previous system SAIQA-Ii that achieved MRR = 0.46...

Japanese question-answering system using A* search and its improvement
Tatsunori Mori
Pages: 280-304
DOI: 10.1145/1111667.1111671
We have proposed a method to introduce A* search control in a sentential matching mechanism for Japanese question-answering systems in order to reduce the turnaround time while maintaining the accuracy of the answers. Using this method,...

Multi-answer-focused multi-document summarization using a question-answering engine
Tatsunori Mori, Masanori Nozawa, Yoshiaki Asada
Pages: 305-320
DOI: 10.1145/1111667.1111672
In recent years, answer-focused summarization has gained attention as a technology complementary to information retrieval and question answering. In order to realize multi-document summarization focused by multiple questions, we propose a method to...

Improving chronological ordering of sentences extracted from multiple newspaper articles
Naoaki Okazaki, Yutaka Matsuo, Mitsuru Ishizuka
Pages: 321-339
DOI: 10.1145/1111667.1111673
It is necessary to determine a proper arrangement of extracted sentences to generate a well-organized summary from multiple documents. This paper describes our Multi-Document Summarization (MDS) system for TSC-3. It specifically addresses an approach...

On a combination of probabilistic and boolean ir models for WWW document retrieval
Masaharu Yoshioka, Makoto Haraguchi
Pages: 340-356
DOI: 10.1145/1111667.1111674
Even though a Boolean query can express the information need precisely enough to select relevant documents, it is not easy to construct an appropriate Boolean query that covers all relevant documents. To utilize a Boolean query effectively, a...

Chinese information retrieval based on terms and relevant terms
Yang Lingpeng, Ji Donghong, Tang Li, Niu Zhengyu
Pages: 357-374
DOI: 10.1145/1111667.1111675
In this article we describe our approach to Chinese information retrieval, where a query is a short natural language description. First, we use automatically extracted short terms from document sets to build indexes and use the short terms in both...