Autor der Publikation

Bitte wählen Sie eine Person um die Publikation zuzuordnen

Um zwischen Personen mit demselben Namen zu unterscheiden, wird der akademische Grad und der Titel einer wichtigen Publikation angezeigt. Zudem lassen sich über den Button neben dem Namen einige der Person bereits zugeordnete Publikationen anzeigen.

 

Weitere Publikationen von Autoren mit dem selben Namen

Collecting and Analyzing Japanese Splogs based on Characteristics of Keywords., , , , , , und . ICWSM, The AAAI Press, (2008)Cross-Lingual Analysis of Concerns and Reports on Crimes in Blogs., , , , , , , , und . UCMedia, Volume 40 von Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Seite 315-320. Springer, (2009)Analyzing Time Series Changes of Correlation between Market Share and Concerns on Companies measured through Search Engine Suggests., , , , , , , und . LREC, European Language Resources Association (ELRA), (2016)Overviewing the Knowledge of a Query Keyword by Clustering Viewpoints of Web Search Information Needs., , , , , und . AINA Workshops, Seite 535-540. IEEE Computer Society, (2015)Selecting Web Search Results of Diverse Contents with Search Engine Suggests and a Topic Model., , , , , und . AINA Workshops, Seite 455-460. IEEE Computer Society, (2016)An Empirical Study on Optimal Correlation between Market Share and Concerns on Companies Measured through Search Engine Suggests., , , , , und . AINA Workshops, Seite 214-219. IEEE Computer Society, (2016)MRC Examples Answerable by BERT without a Question Are Less Effective in MRC Model Training., , , , und . AACL/IJCNLP (Student Research Workshop), Seite 146-152. Association for Computational Linguistics, (2020)Measuring Beginner Friendliness of Japanese Web Pages explaining Academic Concepts by Integrating Neural Image Feature and Text Features., , , , , , und . NLP-TEA@ACL, Seite 143-151. Association for Computational Linguistics, (2018)Detecting splogs using similarities of splog HTML structures., , , , und . ICUIMC, Seite 37. ACM, (2010)BERT based Web Mining of Concerns and Reviews for TV Drama Audience., , , , , , , und . WI (Companion), Seite 64-71. ACM, (2019)