Selecting Indexing Strings using Adaptation (2008)
Yoshiyuki Takeda, Kyoji Umemura
It is not easy to tokenize agglutinative languages like Japanese and Chinese into words. Many IR systems start with a dictionarybased morphology program like ChaSen [4]. Unfortunately, dictionaries...
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...
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...
IDENTIFYING THE LARGE-SCALE STRUCTURE OF THE BLOGOSPHERE
MAKOTO UCHIDA, NAOKI SHIBATA, YUYA KAJIKAWA, YOSHIYUKI TAKEDA, SUSUMU SHIRAYAMA, KATSUMORI MATSUSHIMA
We analyze a topological structure of networks formed according to the entries and trackbacks in the blogosphere, which is a collection of weblog articles. The analysis is performed based on...