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Akiko Aizawa
A System for Worldwide COVID-19 Information Aggregation

Jul 28, 2020
Akiko Aizawa, Frederic Bergeron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong

* Poster on NLP COVID-19 Workshop at ACL 2020, 4 pages, 3 figures, 7 tables 
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Extraction and Evaluation of Formulaic Expressions Used in Scholarly Papers

Jun 18, 2020
Kenichi Iwatsuki, Florian Boudin, Akiko Aizawa

* 21 pages, 11 figures 
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Variational Question-Answer Pair Generation for Machine Reading Comprehension

Apr 07, 2020
Kazutoshi Shinoda, Akiko Aizawa


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Prerequisites for Explainable Machine Reading Comprehension: A Position Paper

Apr 04, 2020
Saku Sugawara, Pontus Stenetorp, Akiko Aizawa


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From Natural Language Instructions to Complex Processes: Issues in Chaining Trigger Action Rules

Jan 08, 2020
Nobuhiro Ito, Yuya Suzuki, Akiko Aizawa


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Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets

Nov 21, 2019
Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa

* 11 pages, AAAI2020, with extra examples, data: https://github.com/Alab-NII/mrc-ablation 
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An Annotated Corpus of Reference Resolution for Interpreting Common Grounding

Nov 18, 2019
Takuma Udagawa, Akiko Aizawa

* 9 pages, 7 figures, 6 tables, Accepted by AAAI 2020 
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A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context

Jul 08, 2019
Takuma Udagawa, Akiko Aizawa

* AAAI 2019 
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Why Machines Cannot Learn Mathematics, Yet

May 20, 2019
André Greiner-Petter, Terry Ruas, Moritz Schubotz, Akiko Aizawa, William Grosky, Bela Gipp

* Submitted to 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries colocated at the 42nd International ACM SIGIR Conference 
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The Architecture of Mr. DLib's Scientific Recommender-System API

Nov 26, 2018
Joeran Beel, Andrew Collins, Akiko Aizawa


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Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning

Sep 15, 2018
Junjun Jiang, Yi Yu, Suhua Tang, Jiayi Ma, Akiko Aizawa, Kiyoharu Aizawa

* 13 pages, 15 figures, Accepted by IEEE TCYB 
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What Makes Reading Comprehension Questions Easier?

Aug 28, 2018
Saku Sugawara, Kentaro Inui, Satoshi Sekine, Akiko Aizawa

* 12 pages, EMNLP2018 
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Category-Based Deep CCA for Fine-Grained Venue Discovery from Multimodal Data

May 08, 2018
Yi Yu, Suhua Tang, Kiyoharu Aizawa, Akiko Aizawa


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A Conditional Variational Framework for Dialog Generation

Jul 06, 2017
Xiaoyu Shen, Hui Su, Yanran Li, Wenjie Li, Shuzi Niu, Yang Zhao, Akiko Aizawa, Guoping Long

* Accepted by ACL2017 
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Leveraging Monolingual Data for Crosslingual Compositional Word Representations

Aug 22, 2015
Hubert Soyer, Pontus Stenetorp, Akiko Aizawa


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