Eiko Yamamoto

Extracting Word Sets with Non-Taxonomical Relation (2009)

Eiko Yamamoto, Hitoshi Isahara

At least two kinds of relations exist among related words: taxonomical relations and thematic relations. Both relations identify related words useful to language understanding and generation,...

Thematically Related Words toward Creative Information Retrieval (2009)

Eiko Yamamoto, Hitoshi Isahara

We introduce a mechanism that provides key words which can make human-computer interaction increase in the course of information retrieval, by using natural language processing technology and...

Empirical Term Weighting (2008)

Kyoji Umemura, Yoshiyuki Takeda, Michiko Tanaka, Lin Feng, Eiko Yamamoto

Our system used an empirical method for estimating term weights directly from relevance judgements, avoiding various standard but potentially troublesome assumptions. It is common to assume, for...

Related Word Lists Effective in Creativity Support (2007)

YAMAMOTO, Eiko, ISAHARA, Hitoshi

Expansion of imagination is crucial for lively creativity. However, such expansion is sometimes rather difficult and an environment which supports creativity is required. Because people can attain...

Extraction of Hierarchies Based on Inclusion of Co-occurring Words with Frequency Information (2005)

Eiko Yamamoto, Kyoko Kanzaki, Hitoshi Isahara

In this paper, we propose a method of automatically extracting word hierarchies based on the inclusion relations of word appearance patterns in corpora. We applied the complementary similarity...

Dynamic Programming Matching for Large Scale Information Retrieval (2003)

Eiko Yamamoto, Masahiro Kishida, Yoshinori Takenami, Yoshiyuki Takeda, Kyoji Umemura

Though dynamic programming matching can carry out approximate string matching when there may be deletions or insertions in a document, its effectiveness and efficiency are usually too poor to use it...

E.: Determining indexing strings with statistical analysis (2003)

Yoshiyuki Takeda, Kyoji Umemura, Eiko Yamamoto

Deciding indexing string is important for Information Retrieval. Ideally, the strings should be the words that represent the documents or query. Although each single word may be the first candidate...