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ORCIDNoriaki Kawamae
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2020 – today
- 2023
[c23]Noriaki Kawamae
:
Friendly Conditional Text Generator. WSDM 2023: 420-428- 2021
- [c22]Noriaki Kawamae:
A Text Generation Model that Maintains the Order of Words, Topics, and Parts of Speech via Their Embedding Representations and Neural Language Models. WI/IAT 2021: 262-269
2010 – 2019
- 2019
- [c21]Noriaki Kawamae:
Topic Structure-Aware Neural Language Model: Unified language model that maintains word and topic ordering by their embedded representations. WWW 2019: 2900-2906 - 2018
- [c20]Noriaki Kawamae:
Topic Chronicle Forest for Topic Discovery and Tracking. WSDM 2018: 315-323 - 2016
- [c19]Noriaki Kawamae:
Time Series Analysis Using NOC. WWW (Companion Volume) 2016: 55-56 - [c18]Noriaki Kawamae:
N-gram over Context. WWW 2016: 1045-1055 - 2015
- [c17]Noriaki Kawamae:
Real Time Recommendations from Connoisseurs. KDD 2015: 537-546 - 2014
- [c16]Noriaki Kawamae:
Supervised N-gram topic model. WSDM 2014: 473-482 - 2012
- [c15]Noriaki Kawamae:
Theme chronicle model: chronicle consists of timestamp and topical words over each theme. CIKM 2012: 2065-2069 - [c14]Noriaki Kawamae:
Joint sentiment aspect model. SAC 2012: 205-210 - [c13]Noriaki Kawamae:
Hierarchical Approach to Sentiment Analysis. ICSC 2012: 138-145 - [c12]Noriaki Kawamae:
Identifying sentiments over N-gram. WWW (Companion Volume) 2012: 541-542 - 2011
- [c11]Ryuichiro Higashinaka, Noriaki Kawamae, Kugatsu Sadamitsu, Yasuhiro Minami, Toyomi Meguro, Kohji Dohsaka, Hirohito Inagaki:
Building a conversational model from two-tweets. ASRU 2011: 330-335 - [c10]Ryuichiro Higashinaka, Noriaki Kawamae, Kugatsu Sadamitsu, Yasuhiro Minami, Toyomi Meguro, Kohji Dohsaka, Hirohito Inagaki:
Unsupervised Clustering of Utterances Using Non-Parametric Bayesian Methods. INTERSPEECH 2011: 2081-2084 - [c9]Noriaki Kawamae:
Trend analysis model: trend consists of temporal words, topics, and timestamps. WSDM 2011: 317-326 - [c8]Noriaki Kawamae:
Predicting future reviews: sentiment analysis models for collaborative filtering. WSDM 2011: 605-614 - 2010
- [c7]Noriaki Kawamae:
Latent interest-topic model: finding the causal relationships behind dyadic data. CIKM 2010: 649-658 - [c6]Noriaki Kawamae:
Serendipitous recommendations via innovators. SIGIR 2010: 218-225 - [c5]Noriaki Kawamae:
Author interest topic model. SIGIR 2010: 887-888 - [c4]Noriaki Kawamae, Ryuichiro Higashinaka:
Trend detection model. WWW 2010: 1129-1130
2000 – 2009
- 2009
- [c3]Noriaki Kawamae, Hitoshi Sakano, Takeshi Yamada:
Personalized recommendation based on the personal innovator degree. RecSys 2009: 329-332 - 2005
- [c2]Noriaki Kawamae, Katsumi Takahashi:
Information retrieval based on collaborative filtering with latent interest semantic map. KDD 2005: 618-623 - 2003
- [c1]Noriaki Kawamae, Takeya Mukaigaito, Hanaki Miyoshi:
Semantic Log Analysis Based on a User Query Behavior Model. ICDM 2003: 107-114
Coauthor Index
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