フェロー／上席特別研究員／特別研究員

表彰

• 2016年6月　2015年度 人工知能学会論文賞
• 2016年6月　平成27年度 電子情報通信学会 論文賞
• 2013年6月　2012年度 情報処理学会 論文賞

著書

• Makoto Nakatsuji. Identifying Novel Topics based on User Interests. In Atill Elci, Mamdou Koné, and Mehmet Orgun, editors, Semantic Agent Systems: Foundations and Applications, Studies in Computational Intelligence. Springer US, 273-292 (2011).

論文

• Makoto Nakatsuji, Yuka Ozeki, Shuhei Tateishi, Yoshihisa Kano, QingPeng Zhang, Knowledge-aware response selection with semantics underlying multi-turn open-domain conversations, WWWJ
• Makoto Nakatsuji, Sohei Okui: Answer Generation through Unified Memories over Multiple Passages, IJCAI, (2020)
• Makoto Nakatsuji, Sohei Okui: Conclusion-Supplement Answer Generation for Non Factoid Questions, AAAI, (2020)
• Makoto Nakatsuji: Can AI Generate Love Advice?: Toward Neural Answer Generation for Non-Factoid Questions, arXiv:1912.10163 [cs.CL] (2019)
• Makoto Nakatsuji: Can AI Generate Love Advice? Neural Conclusion-Supplement Answer Generation for Non Factoid Questions, In GPU Technology Conference 2018, San Jose, CA, United states, (2018)
• Makoto Nakatsuji, QingPeng Zhang, Xio Lu, Bassem Makni, Jim Hendler: Semantic Social Network Analysis by Cross-Domain Tensor Factorization, IEEE Transactions on Computational Social Systems: vol. PP, no. 99, 1-11 (2017)
• Yasuhiro Fujiwara, Makoto Nakatsuji, Hiroaki Shiokawa, Takeshi Mishima, Makoto Onizuka: Fast Ad-Hoc Search Algorithm for Personalized PageRank, IEICE Transactions 100-D(4): 610-620 (2017)
• Makoto Nakatsuji: Semantic Sensitive Simultaneous Tensor Factorization, ISWC (1) 2016: 411-427 (2016)
• Makoto Nakatsuji, Hiroyuki Toda, Hiroshi Sawada, Jin Zheng, Jim Hendler: Semantic Sensitive Tensor Factorization, Artificial Intelligence Journal, Elsevier, 230: 224-245, Elsevier (2016)
• Yasuhiro Fujiwara, Makoto Nakatsuji, Hiroaki Shiokawa, Yasutoshi Ida, Machiko Toyoda: Adaptive Message Update for Fast Affinity Propagation, KDD: 309-318 (2015)
• Makoto Nakatsuji, Yasuhiro Fujiwara, Hiroyuki Toda, Hiroshi Sawada, Jin Zheng, Jim Hendler: Semantic Data Representation for Improving Tensor Factorization, AAAI: 2004-2012 (2014)
• Makoto Nakatsuji, Yasuhiro Fujiwara: Linked Taxonomies to Capture Users' Subjective Assessments of Items to Facilitate Accurate Collaborative Filtering, Artificial Intelligence Journal, Elsevier, 207(0): 52-68, Elsevier (2014)
• Yasuhiro Fujiwara, Makoto Nakatsuji, Hiroaki Shiokawa, Takeshi Mishima, Makoto Onizuka: Fast and Exact Top-k Algorithm for PageRank, AAAI: 1106-1112 (2013)
• Yasuhiro Fujiwara, Makoto Nakatsuji, Hiroaki Shiokawa, Takeshi Mishima, Makoto Onizuka: Efficient Ad-hoc Search for Personalized PageRank, SIGMOD: 445-456 (2013)
• Yasuhiro Fujiwara, Makoto Nakatsuji, Hiroaki Shiokawa, Makoto Onizuka: Efficient Search Algorithm for SimRank, ICDE: 589-600 (2013)
• Makoto Nakatsuji, Yasuhiro Fujiwara, Toshio Uchiyama, Hiroyuki Toda: Collaborative Filtering by Analyzing Dynamic User Interests Modeled by Taxonomy. ISWC 2012: 361-377 (2012)
• Makoto Nakatsuji, Akimichi Tanaka, Toshio Uchiyama, Ko Fujimura: Extracting Communities of Interests for Semantics-Based Graph Searches. IEICE Transactions 95-D(4): 932-941 (2012)
• Yasuhiro Fujiwara, Makoto Nakatsuji, Makoto Onizuka, Masaru Kitsuregawa: Fast and Exact Top-k Search for Random Walk with Restart. PVLDB 5(5): 442-453 (2012)
• Yasuhiro Fujiwara, Makoto Nakatsuji, Takeshi Yamamuro, Hiroaki Shiokawa, Makoto Onizuka: Efficient personalized pagerank with accuracy assurance. KDD 2012: 15-23
• Makoto Nakatsuji, Yasuhiro Fujiwara, Toshio Uchiyama, Ko Fujimura: User Similarity from Linked Taxonomies: Subjective Assessments of Items. IJCAI 2011: 2305-2311
• Makoto Nakatsuji, Akimichi Tanaka, Takahiro Madokoro, Kenichiro Okamoto, Sumio Miyazaki, Tadasu Uchiyama: Extracting Know-Who/Know-How Using Development Project-Related Taxonomies. IEICE Transactions 93-D(10): 2717-2727 (2010)
• Makoto Nakatsuji, Yasuhiro Fujiwara, Akimichi Tanaka, Toshio Uchiyama, Ko Fujimura, Toru Ishida: Classical music for rock fans?: novel recommendations for expanding user interests. CIKM 2010: 949-958
• Makoto Nakatsuji, Yasuhiro Fujiwara, Akimichi Tanaka, Tadasu Uchiyama, Toru Ishida: Recommendations Over Domain Specific User Graphs. ECAI 2010: 607-612
• Kyota Tsutsumida, Jun Okamoto, Shun Ishizaki, Makoto Nakatsuji, Akimichi Tanaka, Tadasu Uchiyama: Study of Word Sense Disambiguation System that uses Contextual Features - Approach of Combining Associative Concept Dictionary and Corpus -. LREC 2010
• Makoto Nakatsuji, Makoto Yoshida, Toru Ishida: Detecting innovative topics based on user-interest ontology. Journal of Web Semantics, 7(2): 107-120, Elsevier (2009)
• Takahiro Madokoro, Makoto Nakatsuji, Kenichiro Okamoto, Sumio Miyazaki, Tsuyoshi Harada: Know-who/know-how Navigation Using Development Project-related Taxonomies. ICSC 2009: 559-560
• Makoto Nakatsuji, Akimichi Tanaka, Toru Ishida: Extracting Communities of Interests for Semantics-based Graph Searches. International Semantic Web Conference (Posters & Demos) 2008
• Makoto Nakatsuji, Yu Miyoshi, Yoshihiro Otsuka, Miki Hirano: Flexible Interface Mapping for System Cooperation and Its Evaluation. Transaction of Information Processing Society of Japan 48 (SIG_14(TOD_35)), 47-59, (2007)
• Makoto Nakatsuji, Minoru Kawahara, Hiroyuki Kawano: The architecture and performance of topic-driven P2P resource discovery system. Systems and Computers in Japan 38(5): 69-79 (2007)
• Makoto Nakatsuji, Yu Miyoshi, Yoshihiro Otsuka: Innovation Detection Based on User-Interest Ontology of Blog Community. ISWC 2006: 515-528 (2006)
• Makoto Nakatsuji, Yu Miyoshi, Tatsuyuki Kimura: Proposal and Verification of Flexible Interface Mapping Technique for Automatic System Cooperation Based on Semantics. Web Intelligence 2005: 812-813
• Makoto Nakatsuji, Minoru Kawahara, and Hiroyuki Kawano: Advanced index refinement by classifiers and distillers in P2P resource discovery, International Conference on Intelligent Agents Web Technology and Internet Commerce 2003, pp.272-285, Vienna, Austria, Feb. 2003.
• Japanese Journal Publication:
• 中辻 真, 複数パッセージの関連性を考慮した回答生成手法, 人工知能学会論文誌: No. LC4, 第37巻4号, 2022.
• 中辻 真，セマンティクスを用いた複数テンソルの同時分解手法, 電子情報通信学会論文誌：Vol.J105-D,No.06,pp.-,Jun. 2022.
• 中辻 真, 八島 浩之, Non-Factoid型質問のための結論と理由で構成される回答文の生成手法, 人工知能学会論文誌: No. L64, 第37巻2号, 2021.
• 中辻 真，奥井颯平，藤⽥明久，"LSTM を⽤いた Non-Factoid 型⻑⽂回答構築⼿法", 電⼦情報通信学会論⽂誌︓Vol.J102-D,No.4,pp.-,Apr. 2019.
• ⼄守 信⾏, 中辻 真, 萩野 達也, "オープンデータの普及促進を加速させるコンテストの開催 ─ LOD チャレンジ Japan の取組み─", ⼈⼯知能学会誌 特集︓「Linked Data と セマンティック技術」, Vol. 30, No .5, pp.591-598, 2015 年 9 ⽉
• ⽚岡泰之，中辻 真，⼾⽥浩之，⼩池義昌，松尾豊: "LOD とソーシャルメディアに基づく特定⾏動に関するオントロジーの構築と評価", ⼈⼯知能学会論⽂誌, 2015, to appear
• 中辻 真，藤原靖宏，⼾⽥浩之，澤⽥ 宏，チェン ジン，ヘンドラー ジェームズ: "セマンティクスを⽤いたテンソル分解⼿法", ⼈⼯知能学会論⽂誌,Vol. 30, No. 3, 2015年
• 藤原 靖宏，中辻 真，塩川 浩昭，三島 健，⻤塚 真，"Personalized PageRank に対するアドホックな検索⼿法"，電⼦情報通信学会論⽂誌. 2015 年
• 藤原 靖宏, 中辻 真, 塩川 浩昭, 三島 健, ⻤塚 真: "PageRank のための⾼速なTop-k 検索", ⼈⼯知能学会論⽂誌,Vol. 30, No. 2, 2015 年 2 ⽉
• 中辻 真, 藤原 靖宏, 内⼭ 俊郎, ⼾⽥ 浩之: "動的なユーザ興味に対応したセマンティクスに基づく情報推薦⼿法", ⼈⼯知能学会論⽂誌,Vol. 28, No. 6, 2013 年 10 ⽉
• 近藤 光正, 中辻真, ⽥中 明通: "Wikipedia に基づく Web 閲覧履歴からの潜在的興味キーワード抽出 Wikipedia-Based Latent Interest Keywords Extraction from Web Browsing History", (データマイニング,<特集>データ⼯学と情報マネジメント論⽂), 電⼦情報通信学会論⽂誌. D, 情報・システム J96-D(5), 1199-1211, 2013-05-01
• 中辻 真, 藤原 靖宏, 内⼭ 俊郎: "タクソノミを⽤いた Novelty の⾼いアイテムの推薦⼿法", 電⼦情報通信学会論⽂誌 D, Vol.J96-D, No.4, pp.926-940, 2013 年 4 ⽉
• 中辻 真, 藤原 靖宏, 内⼭ 俊郎: "ユーザグラフ上のランダムウォークに基づくクロスドメイン推薦", ⼈⼯知能学会論⽂誌, Vol. 27, No .5, 2012 年 10 ⽉
• 藤原 靖宏, 中辻 真, ⻤塚 真, 喜連川 優: "Random walk with restart に対する⾼速な検索⼿法", 情報処理学会論⽂誌:データベース, Vol. 4, No. 2, 2011 年 6 ⽉
• ⼭登庸次, 中辻 真, 須永宏: "ユビキタス環境にて動的にサービス実現するためのサービス合成技術", 情報処理学会論⽂誌, 48(2), 562-577, 2007 年 2 ⽉
• 中辻 真 川原 稔, 河野 浩之, "トピック主導型 P2P 情報検索システムの提案と性能評価", 電⼦情報通信学会論⽂誌. D-I, 情報・システム, I-情報処理 J87-D-I(2), 126-136, 2004 年 2 ⽉

技術キーワード

生成AIエージェント、Human-AI協調、対話エンジン、Semantic Web