3 citations · 4 across the 6 of their papers we have counts for
6 papers
News-based Business Sentiment and its Properties as an Economic Index
Kazuhiro Seki, Yusuke Ikuta, Yoichi Matsubayashi
This paper presents an approach to measuring business sentiment based on textual data. Business sentiment has been measured by traditional surveys, which are costly and time-consum…
S-APIR: News-based Business Sentiment Index
Kazuhiro Seki, Yusuke Ikuta
This paper describes our work on developing a new business sentiment index using daily newspaper articles. We adopt a recurrent neural network (RNN) with Gated Recurrent Units to p…
Toward Exploratory Search in Biomedicine: Evaluating Document Clusters by MeSH as a Semantic Anchor
Michael Segundo Ortiz, Kazuhiro Seki, Javed Mostafa
The current mode of biomedical literature search is severely limited in effectively finding information relevant to specialists. A potential approach to solving this problem is exp…
Measures of Cluster Informativeness for Medical Evidence Aggregation and Dissemination
Michael Segundo Ortiz, Sam Bubnovich, Mengqian Wang +2
The largest collection of medical evidence in the world is PubMed. However, the significant barrier in accessing and extracting information is information organization. A factor th…
Semantic Web Today: From Oil Rigs to Panama Papers
Rivindu Perera, Parma Nand, Boris Bacic +3
The next leap on the internet has already started as Semantic Web. At its core, Semantic Web transforms the document oriented web to a data oriented web enriched with semantics emb…
A Probabilistic Method for Analyzing Japanese Anaphora Integrating Zero Pronoun Detection and Resolution
Kazuhiro Seki, Atsushi Fujii, Tetsuya Ishikawa
This paper proposes a method to analyze Japanese anaphora, in which zero pronouns (omitted obligatory cases) are used to refer to preceding entities (antecedents). Unlike the case…