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Introduction to the special issue: Recent advances in information processing and access for Japanese
Tetsuya Sakai, Yuji Matsumoto
Example-based machine translation using efficient sentence retrieval based on edit-distance
Takao Doi, Hirofumi Yamamoto, Eiichiro Sumita
An Example-Based Machine Translation (EBMT) system, whose translation example unit is a sentence, can produce an accurate and natural translation if translation examples similar enough to an input sentence are retrieved. Such a system, however,...
Estimating satisfactoriness of selectional restriction from corpus without a thesaurus
Yoichi Tomiura, Shosaku Tanaka, Toru Hitaka
A selectional restriction specifies what combinations of words are semantically valid in a particular syntactic construction. This is one of the basic and important pieces of knowledge in natural language processing and has been used for syntactic...
Anaphora resolution by antecedent identification followed by anaphoricity determination
Ryu Iida, Kentaro Inui, Yuji Matsumoto
We propose a machine learning-based approach to noun-phrase anaphora resolution that combines the advantages of previous learning-based models while overcoming their drawbacks. Our anaphora resolution process reverses the order of the steps in the...
Acquiring causal knowledge from text using the connective marker tame
Takashi Inui, Kentaro Inui, Yuji Matsumoto
In this paper, we deal with automatic knowledge acquisition from text, specifically the acquisition of causal relations. A causal relation is the relation existing between two events such that one event causes (or enables) the other event,...
Topic-structure-based complementary information retrieval and its application
Qiang Ma, Katsumi Tanaka
A great deal of technology has been developed to help people access the information they require. With advances in the availability of information, information-seeking activities are becoming more sophisticated. This means that information technology...