Publications 2017

Journal Papers

  • Giovanni Yoko Kristianto, Goran Topic, Akiko Aizawa: “Utilizing Dependency Relationships between Math Expressions in Math IR.” Information Retrieval Journal (Published online, 14 March 2017) DOI: 10.1007/s10791-017-9296-8 [link]
  • Akito Yamaya, Goran Topic, Akiko Aizawa: “Vertical Error Correction using Classification of Transitions between Sequential Reading Segments.” IPSJ Journal of Information Processing, Technical Note. Vol. 25 pp.100-106, January 2017.[link]

Conference/Workshop Papers

  • Kenichi Iwatsuki, Takeshi Sagara, Tadayoshi Hara, Akiko Aizawa: “Detecting In-line Mathematical Expressions in Scientific Documents.” The 17th ACM Symposium on Document Engineering (DocEng 2017). Valletta, Malta, September, 2017. [link]
  • Hayato Hashimoto, Kazutoshi Shinoda, Hikaru Yokono, Akiko Aizawa: “Automatic Generation of Review Matrices as Multi-document Summarization of Scientic Papers.” BIRNDL’17: Bibliometric-enhanced IR and NLP for Digital Libraries, workshop at SIGIR 2017. Tokyo, Japan, August, 2017. [link]
  • Hajime Senuma, Akiko Aizawa: “Seq2seq for Morphological Reinflection: When Deep Learning Fails.” CoNLL 2017 (the SIGNLL Conference on Computational Natural Language Learning), Shared Task, co-located with ACL 2017. Vancouver, Canada, August, 2017. [link]
  • Xiaoyu Shen, Hui Su, Yanran Li, Wenjie Li, Shuzi Niu, Yang Zhao, Akiko Aizawa and Guoping Long: “A Conditional Variational Framework for Dialog Generation” The 55th annual meeting of the Association for Computational Linguistics (ACL 2017). Vancouver, Canada. July 30 – August 4, 2017. [link]
  • Saku Sugawara , Yusuke Kido , Hikaru Yokono, Akiko Aizawa: “Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability.” The 55th annual meeting of the Association for Computational Linguistics (ACL 2017). Vancouver, Canada. July 30 – August 4, 2017. [link]
  • Akira Moroo, Akiko Aizawa, Takayuki Hamamoto: “Reranking-based Crash Report Deduplication.” 2017 International Conference on Software Engineering and Knowledge Engineering (SEKE 2017). Pittsburgh, USA. July 5-7, 2017. [link]
  • Hajime Senuma, Akiko Aizawa: “Toward Universal Dependencies for Ainu.” The First Workshop on Universal Dependencies(UDW 2017), co-located with the 21st Nordic Conference on Computational Linguistics (NoDaLiDa 2017). Gothenburg, Sweden. May 22, 2017. [link]
  • Yang Zhao, Akiko Aizawa: “A Gated Neural Network for Sentence Compression using Linguistic Knowledge.” The 22nd International Conference on Natural Language & Information Systems (NLDB 2017), Liège, Belgium, 21-23, June 2017. [link]
  • Stefan Feyer, Sophie Siebert, Bela Gipp, Akiko Aizawa, Joeran Beel: “Integration of the scientific recommender system Mr. DLib into the reference manager JabRef.” The 39th European Conference on Information Retrieval (ECIR 2017), Aberdeen, Scotland, UK. April, 2017. [link]
  • Joeran Beel, Corinna Breitinger, Stefan Langer: “Evaluating the CC-IDF citation-weighting scheme: How effectively can ‘Inverse Document Frequency’ (IDF) be applied to references?” iConference 2017. Wuhan, China, March 2017. [link]
  • Joeran Beel, Stefan Langer, Bela Gipp: “TF-IDuF: A Novel Term-Weighting Scheme for User Modeling based on Users’ Personal Document Collections.” iConference 2017. Wuhan, China, March 2017. [link]
  • Joeran Beel, Siddharth Dinesh, Philipp Mayr, Zeljko Carevic, Jain Raghvendra: “Stereotype and Most-Popular Recommendations in the Digital Library Sowiport.” 15th International Symposium of Information Science (ISI 2017). Berlin, Germany, March 2017. [link]
  • Felix Hamborg, Norman Meuschke, Akiko Aizawa, Bela Gipp: “Identification and Analysis of Media Bias in News Articles.” 15th International Symposium of Information Science (ISI 2017). Berlin, Germany, March 2017. [link]
  • Giovanni Yoko Kristianto, Akiko Aizawa: “Linking Mathematical Expressions to Wikipedia.” SWM, Workshop on Scholarly web Mining (SWM) at WSDM 2017. Cambridge, UK, February, 2017.[link]
  • Saku Sugawara, Hikaru Yokono, Akiko Aizawa: “Prerequisite Skills for Reading Comprehension: Multi-perspective Analysis of MCTest Datasets and Systems.” 31st AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, California, USA, February 2017. [link]