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ORCIDAkiko Aizawa
Akiko N. Aizawa – Akiko Nakahara
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- affiliation: National Institute of Informatics, Japan
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2020 – today
- 2023
[j30]André Greiner-Petter
, Moritz Schubotz, Corinna Breitinger, Philipp Scharpf, Akiko Aizawa, Bela Gipp:
Do the Math: Making Mathematics in Wikipedia Computable. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4384-4395 (2023)- [c145]Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Which Shortcut Solution Do Question Answering Models Prefer to Learn? AAAI 2023: 13564-13572 - [c144]Kazushi Kondo, Saku Sugawara, Akiko Aizawa:
Probing Physical Reasoning with Counter-Commonsense Context. ACL (2) 2023: 603-612 - [c143]Taku Sakamoto, Akiko Aizawa:
Predicting Numerals in Text Using Nearest Neighbor Language Models. ACL (Findings) 2023: 4795-4809 - [c142]Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa:
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering. EACL (Findings) 2023: 1133-1150 - [c141]Ankit Satpute, André Greiner-Petter, Moritz Schubotz, Norman Meuschke, Akiko Aizawa, Olaf Teschke, Bela Gipp:
TEIMMA: The First Content Reuse Annotator for Text, Images, and Math. JCDL 2023: 271-273 - [c140]Tuan-An Dao, Akiko Aizawa:
Evaluating the Effect of Letter Case on Named Entity Recognition Performance. NLDB 2023: 588-598 - [c139]Martin Wessel, Tomás Horych, Terry Ruas, Akiko Aizawa, Bela Gipp, Timo Spinde:
Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection. SIGIR 2023: 2765-2774 - [i48]Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa:
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering. CoRR abs/2302.05963 (2023) - [i47]Martin Wessel, Tomás Horych, Terry Ruas, Akiko Aizawa, Bela Gipp, Timo Spinde:
Introducing MBIB - the first Media Bias Identification Benchmark Task and Dataset Collection. CoRR abs/2304.13148 (2023) - [i46]Junfeng Jiang, Chengzhang Dong, Akiko Aizawa, Sadao Kurohashi:
SuperDialseg: A Large-scale Dataset for Supervised Dialogue Segmentation. CoRR abs/2305.08371 (2023) - [i45]Ankit Satpute, André Greiner-Petter, Moritz Schubotz, Norman Meuschke, Akiko Aizawa, Bela Gipp:
TEIMMA: The First Content Reuse Annotator for Text, Images, and Math. CoRR abs/2305.13193 (2023) - [i44]Kazushi Kondo, Saku Sugawara, Akiko Aizawa:
Probing Physical Reasoning with Counter-Commonsense Context. CoRR abs/2306.02258 (2023) - [i43]Detai Xin, Junfeng Jiang, Shinnosuke Takamichi, Yuki Saito, Akiko Aizawa, Hiroshi Saruwatari:
JVNV: A Corpus of Japanese Emotional Speech with Verbal Content and Nonverbal Expressions. CoRR abs/2310.06072 (2023) - 2022
- [j29]Kenichi Iwatsuki, Florian Boudin, Akiko Aizawa:
Extraction and evaluation of formulaic expressions used in scholarly papers. Expert Syst. Appl. 187: 115840 (2022) - [j28]Moritz Schubotz, Ankit Satpute, André Greiner-Petter, Akiko Aizawa, Bela Gipp:
Caching and Reproducibility: Making Data Science Experiments Faster and FAIRer. Frontiers Res. Metrics Anal. 7: 861944 (2022) - [c138]Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering. BlackboxNLP@EMNLP 2022: 418-425 - [c137]Kaito Sugimoto, Akiko Aizawa:
Incorporating the Rhetoric of Scientific Language into Sentence Embeddings using Phrase-guided Distant Supervision and Metric Learning. SDP@COLING 2022: 54-68 - [c136]Hongkuan Zhang, Saku Sugawara, Akiko Aizawa, Lei Zhou, Ryohei Sasano, Koichi Takeda:
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning. EMNLP 2022: 7599-7606 - [c135]Johannes Mario Meissner, Saku Sugawara, Akiko Aizawa:
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU. EMNLP 2022: 7607-7613 - [c134]Timo Spinde, Jan-David Krieger, Terry Ruas, Jelena Mitrovic, Franz Götz-Hahn, Akiko Aizawa, Bela Gipp:
Exploiting Transformer-Based Multitask Learning for the Detection of Media Bias in News Articles. iConference (1) 2022: 225-235 - [c133]Xanh Ho, Saku Sugawara, Akiko Aizawa:
How Well Do Multi-hop Reading Comprehension Models Understand Date Information? AACL/IJCNLP (2) 2022: 470-479 - [c132]Masaya Ohagi, Akiko Aizawa:
Pre-trained transformer-based citation context-aware citation network embeddings. JCDL 2022: 18 - [c131]Takuto Asakura, Yusuke Miyao, Akiko Aizawa:
Building Dataset for Grounding of Formulae - Annotating Coreference Relations Among Math Identifiers. LREC 2022: 4851-4858 - [c130]Yang Zhao, Hiroshi Kanayama, Issei Yoshida, Masayasu Muraoka, Akiko Aizawa:
A Simple Yet Effective Corpus Construction Method for Chinese Sentence Compression. LREC 2022: 6874-6883 - [c129]Tuan-An Dao, Akiko Aizawa, Yuji Matsumoto:
Named Entity Recognition on COVID-19 Scientific Papers. NLPIR 2022: 26-30 - [c128]Thanakrit Julavanich, Akiko Aizawa:
Measuring Text-to-SQL Semantic Parsing Model on the Question Generalizability. NLPIR 2022: 79-83 - [c127]André Greiner-Petter, Howard S. Cohl, Abdou Youssef, Moritz Schubotz, Avi Trost, Rajen Dey, Akiko Aizawa, Bela Gipp:
Comparative Verification of the Digital Library of Mathematical Functions and Computer Algebra Systems. TACAS (1) 2022: 87-105 - [e4]Akiko Aizawa, Thomas Mandl, Zeljko Carevic, Annika Hinze, Philipp Mayr, Philipp Schaer:
JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20 - 24, 2022. ACM 2022, ISBN 978-1-4503-9345-4 [contents] - [i42]André Greiner-Petter, Howard S. Cohl, Abdou Youssef, Moritz Schubotz, Avi Trost, Rajen Dey, Akiko Aizawa, Bela Gipp:
Comparative Verification of the Digital Library of Mathematical Functions and Computer Algebra Systems. CoRR abs/2201.09488 (2022) - [i41]Taichi Iki, Akiko Aizawa:
Do BERTs Learn to Use Browser User Interface? Exploring Multi-Step Tasks with Unified Vision-and-Language BERTs. CoRR abs/2203.07828 (2022) - [i40]Przemyslaw K. Joniak, Akiko Aizawa:
Gender Biases and Where to Find Them: Exploring Gender Bias in Pre-Trained Transformer-based Language Models Using Movement Pruning. CoRR abs/2207.02463 (2022) - [i39]Xanh Ho, Johannes Mario Meissner, Saku Sugawara, Akiko Aizawa:
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension. CoRR abs/2209.01824 (2022) - [i38]Timo Spinde, Manuel Plank, Jan-David Krieger, Terry Ruas, Bela Gipp, Akiko Aizawa:
Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By Experts. CoRR abs/2209.14557 (2022) - [i37]Xanh Ho, Saku Sugawara, Akiko Aizawa:
How Well Do Multi-hop Reading Comprehension Models Understand Date Information? CoRR abs/2210.05208 (2022) - [i36]Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering. CoRR abs/2210.14541 (2022) - [i35]Johannes Mario Meissner, Saku Sugawara, Akiko N. Aizawa:
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU. CoRR abs/2210.16079 (2022) - [i34]Timo Spinde, Jan-David Krieger, Terry Ruas, Jelena Mitrovic, Franz Götz-Hahn, Akiko Aizawa, Bela Gipp:
Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articles. CoRR abs/2211.03491 (2022) - [i33]Moritz Schubotz, Ankit Satpute, André Greiner-Petter, Akiko Aizawa, Bela Gipp:
Caching and Reproducibility: Making Data Science experiments faster and FAIRer. CoRR abs/2211.04049 (2022) - [i32]Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering. CoRR abs/2211.16093 (2022) - [i31]Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Which Shortcut Solution Do Question Answering Models Prefer to Learn? CoRR abs/2211.16220 (2022) - [i30]Hongkuan Zhang, Saku Sugawara, Akiko Aizawa, Lei Zhou, Ryohei Sasano, Koichi Takeda:
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning. CoRR abs/2212.07075 (2022) - 2021
- [j27]Sreekanth Madisetty, Kaushal Kumar Maurya, Akiko Aizawa, Maunendra Sankar Desarkar:
A neural approach for detecting inline mathematical expressions from scientific documents. Expert Syst. J. Knowl. Eng. 38(4) (2021) - [j26]Takuma Udagawa, Akiko Aizawa:
Maintaining Common Ground in Dynamic Environments. Trans. Assoc. Comput. Linguistics 9: 995-1011 (2021) - [c126]Kenichi Iwatsuki, Akiko Aizawa:
Extraction of Formulaic Expressions from Scientific Papers. SDU@AAAI 2021 - [c125]Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation. ACL (student) 2021: 197-214 - [c124]Johannes Mario Meissner, Napat Thumwanit, Saku Sugawara, Akiko Aizawa:
Embracing Ambiguity: Shifting the Training Target of NLI Models. ACL/IJCNLP (2) 2021: 862-869 - [c123]Takato Yamazaki, Akiko Aizawa:
Phrase-Level Action Reinforcement Learning for Neural Dialog Response Generation. ACL/IJCNLP (Findings) 2021: 5028-5038 - [c122]Taku Sakamoto, Akiko Aizawa:
Predicting Numerals in Natural Language Text Using a Language Model Considering the Quantitative Aspects of Numerals. DeeLIO@NAACL-HLT 2021: 140-150 - [c121]Saku Sugawara, Pontus Stenetorp, Akiko Aizawa:
Benchmarking Machine Reading Comprehension: A Psychological Perspective. EACL 2021: 1592-1612 - [c120]Junfeng Jiang, An Wang, Akiko Aizawa:
Attention-based Relational Graph Convolutional Network for Target-Oriented Opinion Words Extraction. EACL 2021: 1986-1997 - [c119]Kenichi Iwatsuki, Akiko Aizawa:
Communicative-Function-Based Sentence Classification for Construction of an Academic Formulaic Expression Database. EACL 2021: 3476-3497 - [c118]Timo Spinde, Manuel Plank, Jan-David Krieger, Terry Ruas, Bela Gipp, Akiko Aizawa:
Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By Experts. EMNLP (Findings) 2021: 1166-1177 - [c117]Taichi Iki, Akiko Aizawa:
Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language Models. EMNLP (1) 2021: 2189-2196 - [c116]Akiko Aizawa:
Natural language processing and information linkage for scholarly digital infrastructures (keynote). DISCO@JCDL 2021: 2 - [c115]Takuto Asakura, Yusuke Miyao, Akiko Aizawa, Michael Kohlhase:
MioGatto: A Math Identifier-oriented Grounding Annotation Tool. CICM Workshops 2021 - [c114]Thanakrit Julavanich, Akiko Aizawa:
NumER: A Fine-Grained Numeral Entity Recognition Dataset. NLDB 2021: 64-75 - [e3]Faegheh Hasibi, Yi Fang, Akiko Aizawa:
ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021. ACM 2021, ISBN 978-1-4503-8611-1 [contents] - [i29]Terry Ruas, William I. Grosky, Akiko Aizawa:
Multi-sense embeddings through a word sense disambiguation process. CoRR abs/2101.08700 (2021) - [i28]Taichi Iki, Akiko Aizawa:
Effect of Vision-and-Language Extensions on Natural Language Understanding in Vision-and-Language Models. CoRR abs/2104.08066 (2021) - [i27]Takuma Udagawa, Akiko Aizawa:
Maintaining Common Ground in Dynamic Environments. CoRR abs/2105.14207 (2021) - [i26]Johannes Mario Meissner, Napat Thumwanit, Saku Sugawara, Akiko Aizawa:
Embracing Ambiguity: Shifting the Training Target of NLI Models. CoRR abs/2106.03020 (2021) - [i25]Florian Boudin, Ygor Gallina, Akiko Aizawa:
Keyphrase Generation for Scientific Document Retrieval. CoRR abs/2106.14726 (2021) - [i24]Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical Overlap. CoRR abs/2109.11256 (2021) - 2020
- [j25]Felix Beierle, Akiko Aizawa, Andrew Collins, Joeran Beel:
Choice overload and recommendation effectiveness in related-article recommendations. Int. J. Digit. Libr. 21(3): 231-246 (2020) - [j24]André Greiner-Petter, Abdou Youssef, Terry Ruas, Bruce R. Miller, Moritz Schubotz, Akiko Aizawa, Bela Gipp:
Math-word embedding in math search and semantic extraction. Scientometrics 125(3): 3017-3046 (2020) - [j23]Junjun Jiang, Yi Yu, Suhua Tang, Jiayi Ma, Akiko Aizawa, Kiyoharu Aizawa:
Context-Patch Face Hallucination Based on Thresholding Locality-Constrained Representation and Reproducing Learning. IEEE Trans. Cybern. 50(1): 324-337 (2020) - [c113]Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa:
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. AAAI 2020: 8918-8927 - [c112]Takuma Udagawa, Akiko Aizawa:
An Annotated Corpus of Reference Resolution for Interpreting Common Grounding. AAAI 2020: 9081-9089 - [c111]Florian Boudin, Ygor Gallina, Akiko Aizawa:
Keyphrase Generation for Scientific Document Retrieval. ACL 2020: 1118-1126 - [c110]Vitou Phy, Yang Zhao, Akiko Aizawa:
Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue Systems. COLING 2020: 4164-4178 - [c109]Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa:
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps. COLING 2020: 6609-6625 - [c108]Akiko Aizawa, Frédéric Bergéron, 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:
A System for Worldwide COVID-19 Information Aggregation. NLP4COVID@EMNLP 2020 - [c107]Takuto Asakura, André Greiner-Petter, Akiko Aizawa, Yusuke Miyao:
Towards Grounding of Formulae. SDP@EMNLP 2020: 138-147 - [c106]Takuma Udagawa, Takato Yamazaki, Akiko Aizawa:
A Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions. EMNLP (Findings) 2020: 750-765 - [c105]Taichi Iki, Akiko Aizawa:
Language-Conditioned Feature Pyramids for Visual Selection Tasks. EMNLP (Findings) 2020: 4687-4697 - [c104]André Greiner-Petter, Moritz Schubotz, Akiko Aizawa, Bela Gipp:
Making Presentation Math Computable: Proposing a Context Sensitive Approach for Translating LaTeX to Computer Algebra Systems. ICMS 2020: 335-341 - [c103]Kenichi Iwatsuki, Florian Boudin, Akiko Aizawa:
An Evaluation Dataset for Identifying Communicative Functions of Sentences in English Scholarly Papers. LREC 2020: 1712-1720 - [c102]André Greiner-Petter, Moritz Schubotz, Fabian Müller, Corinna Breitinger, Howard S. Cohl, Akiko Aizawa, Bela Gipp:
Discovering Mathematical Objects of Interest - A Study of Mathematical Notations. WWW 2020: 1445-1456 - [e2]Alípio Mário Jorge, Ricardo Campos, Adam Jatowt, Akiko Aizawa:
Proceedings of AI4Narratives - Workshop on Artificial Intelligence for Narratives in conjunction with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan, January 7th and 8th, 2021 (online event due to Covid-19 outbreak). CEUR Workshop Proceedings 2794, CEUR-WS.org 2020 [contents] - [i23]Nobuhiro Ito, Yuya Suzuki, Akiko Aizawa:
From Natural Language Instructions to Complex Processes: Issues in Chaining Trigger Action Rules. CoRR abs/2001.02462 (2020) - [i22]André Greiner-Petter, Moritz Schubotz, Fabian Müller, Corinna Breitinger, Howard S. Cohl, Akiko Aizawa, Bela Gipp:
Discovering Mathematical Objects of Interest - A Study of Mathematical Notations. CoRR abs/2002.02712 (2020) - [i21]Saku Sugawara, Pontus Stenetorp, Akiko Aizawa:
Prerequisites for Explainable Machine Reading Comprehension: A Position Paper. CoRR abs/2004.01912 (2020) - [i20]Kazutoshi Shinoda, Akiko Aizawa:
Variational Question-Answer Pair Generation for Machine Reading Comprehension. CoRR abs/2004.03238 (2020) - [i19]Kenichi Iwatsuki, Florian Boudin, Akiko Aizawa:
Extraction and Evaluation of Formulaic Expressions Used in Scholarly Papers. CoRR abs/2006.10334 (2020) - [i18]Akiko Aizawa, Frédéric Bergéron, 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:
A System for Worldwide COVID-19 Information Aggregation. CoRR abs/2008.01523 (2020) - [i17]Takuma Udagawa, Takato Yamazaki, Akiko Aizawa:
A Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions. CoRR abs/2010.03127 (2020) - [i16]Vitou Phy, Yang Zhao, Akiko Aizawa:
Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue Systems. CoRR abs/2011.00483 (2020) - [i15]Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa:
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps. CoRR abs/2011.01060 (2020)
2010 – 2019
- 2019
- [j22]Terry Ruas, William I. Grosky, Akiko Aizawa:
Multi-sense embeddings through a word sense disambiguation process. Expert Syst. Appl. 136: 288-303 (2019) - [j21]Yi Yu, Suhua Tang, Kiyoharu Aizawa, Akiko Aizawa:
Category-Based Deep CCA for Fine-Grained Venue Discovery From Multimodal Data. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1250-1258 (2019) - [c101]Takuma Udagawa, Akiko Aizawa:
A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context. AAAI 2019: 7120-7127 - [c100]Bui Hai Phong, Thang Manh Hoang, Thi-Lan Le, Akiko Aizawa:
Mathematical Variable Detection in PDF Scientific Documents. ACIIDS (2) 2019: 694-706 - [c99]Yang Zhao, Xiaoyu Shen, Wei Bi, Akiko Aizawa:
Unsupervised Rewriter for Multi-Sentence Compression. ACL (1) 2019: 2235-2240 - [c98]Gordian Edenhofer, Andrew Collins, Akiko Aizawa, Joeran Beel:
Augmenting the DonorsChoose.org Corpus for Meta-Learning. AMIR@ECIR 2019: 32-38 - [c97]Daniel Vliegenthart, Sepideh Mesbah, Christoph Lofi, Akiko Aizawa, Alessandro Bozzon:
Coner: A Collaborative Approach for Long-Tail Named Entity Recognition in Scientific Publications. TPDL 2019: 3-17 - [c96]André Greiner-Petter, Terry Ruas, Moritz Schubotz, Akiko Aizawa, William I. Grosky, Bela Gipp:
Why Machines Cannot Learn Mathematics, Yet. BIRNDL@SIGIR 2019: 130-137 - [i14]André Greiner-Petter, Terry Ruas, Moritz Schubotz, Akiko Aizawa, William I. Grosky, Bela Gipp:
Why Machines Cannot Learn Mathematics, Yet. CoRR abs/1905.08359 (2019) - [i13]Takuma Udagawa, Akiko Aizawa:
A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context. CoRR abs/1907.03399 (2019) - [i12]Takuma Udagawa, Akiko Aizawa:
An Annotated Corpus of Reference Resolution for Interpreting Common Grounding. CoRR abs/1911.07588 (2019) - [i11]Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa:
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. CoRR abs/1911.09241 (2019) - 2018
- [j20]Yang Zhao, Xiaoyu Shen, Hajime Senuma, Akiko Aizawa:
A comprehensive study: Sentence compression with linguistic knowledge-enhanced gated neural network. Data Knowl. Eng. 117: 307-318 (2018) - [c95]Yang Zhao, Zhiyuan Luo, Akiko Aizawa:
A Language Model based Evaluator for Sentence Compression. ACL (2) 2018: 170-175 - [c94]Jöran Beel, Andrew Collins, Akiko Aizawa:
Mr. DLib's Architecture for Scholarly Recommendations-as-a-Service. AICS 2018: 78-89 - [c93]Kenichi Iwatsuki, Akiko Aizawa:
Using Formulaic Expressions in Writing Assistance Systems. COLING 2018: 2678-2689 - [c92]Saku Sugawara, Kentaro Inui, Satoshi Sekine, Akiko Aizawa:
What Makes Reading Comprehension Questions Easier? EMNLP 2018: 4208-4219 - [c91]Andrew Collins, Dominika Tkaczyk, Akiko Aizawa, Jöran Beel:
Position Bias in Recommender Systems for Digital Libraries. iConference 2018: 335-344 - [c90]Hajime Senuma, Akiko Aizawa:
Universal Dependencies for Ainu. LREC 2018 - [c89]Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Akiko Aizawa:
UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network. SemEval@NAACL-HLT 2018: 793-797 - [c88]Kazutoshi Shinoda, Akiko Aizawa:
Query-focused Scientific Paper Summarization with Localized Sentence Representation. BIRNDL@SIGIR 2018: 24-31 - [i10]Andrew Collins, Dominika Tkaczyk, Akiko Aizawa, Jöran Beel:
A Study of Position Bias in Digital Library Recommender Systems. CoRR abs/1802.06565 (2018) - [i9]Yi Yu, Suhua Tang, Kiyoharu Aizawa, Akiko Aizawa:
Category-Based Deep CCA for Fine-Grained Venue Discovery from Multimodal Data. CoRR abs/1805.02997 (2018) - [i8]Saku Sugawara, Kentaro Inui, Satoshi Sekine, Akiko Aizawa:
What Makes Reading Comprehension Questions Easier? CoRR abs/1808.09384 (2018) - [i7]Junjun Jiang, Yi Yu, Suhua Tang, Jiayi Ma, Akiko Aizawa, Kiyoharu Aizawa:
Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning. CoRR abs/1809.00665 (2018)