Mining words in the minds of second language learners for learner-specific word difficulty Y Ehara, I Sato, H Oiwa, H Nakagawa Journal of Information Processing 26, 267-275, 2018 | 57 | 2018 |
Building an English vocabulary knowledge dataset of Japanese English-as-a-second-language learners using crowdsourcing Y Ehara Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 56 | 2018 |
Formalizing word sampling for vocabulary prediction as graph-based active learning Y Ehara, Y Miyao, H Oiwa, I Sato, H Nakagawa Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 37 | 2014 |
Personalized reading support for second-language web documents Y Ehara, N Shimizu, T Ninomiya, H Nakagawa ACM Transactions on Intelligent Systems and Technology (TIST) 4 (2), 1-19, 2013 | 37 | 2013 |
Generating video description using sequence-to-sequence model with temporal attention N Laokulrat, S Phan, N Nishida, R Shu, Y Ehara, N Okazaki, Y Miyao, ... Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 31 | 2016 |
Assessing Translation Ability through Vocabulary Ability Assessment. Y Ehara, Y Baba, M Utiyama, E Sumita IJCAI, 3712-3718, 2016 | 30 | 2016 |
Personalized reading support for second-language web documents by collective intelligence Y Ehara, N Shimizu, T Ninomiya, H Nakagawa Proceedings of the 15th international conference on Intelligent user …, 2010 | 28 | 2010 |
Multilingual text entry using automatic language detection Y Ehara, K Tanaka-Ishii Proceedings of the Third International Joint Conference on Natural Language …, 2008 | 26 | 2008 |
Uncertainty-aware personalized readability assessments for second language learners Y Ehara 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 15 | 2019 |
Lurat: a lightweight unsupervised automatic readability assessment toolkit for second language learners Y Ehara 2021 ieee 33rd international conference on tools with artificial …, 2021 | 10 | 2021 |
Inferring tourist behavior and purposes of a Twitter user Y Nozawa, M Endo, Y Ehara, M Hirota, S Yokoyama, H Ishikawa Trends in Artificial Intelligence: PRICAI 2016 Workshops: PeHealth 2016, I3A …, 2017 | 10 | 2017 |
Visualizing high-risk paths using geo-tagged social data for disaster mitigation M Kanno, Y Ehara, M Hirota, S Yokoyama, H Ishikawa Proceedings of the 9th ACM SIGSPATIAL Workshop on Location-based Social …, 2016 | 10 | 2016 |
No Meaning Left Unlearned: Predicting Learners' Knowledge of Atypical Meanings of Words from Vocabulary Tests for Their Typical Meanings. Y Ehara International Educational Data Mining Society, 2022 | 9 | 2022 |
Selecting reading texts suitable for incidental vocabulary learning by considering the estimated distribution of acquired vocabulary Y Ehara Proceedings of the 15th International Conference on Educational Data Mining, 767, 2022 | 6 | 2022 |
Interpreting neural CWI classifiers’ weights as vocabulary size Y Ehara Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building …, 2020 | 6 | 2020 |
Neural rasch model: How do word embeddings adjust word difficulty? Y Ehara International Conference of the Pacific Association for Computational …, 2019 | 6 | 2019 |
Language-independent prediction of psycholinguistic properties of words Y Ehara Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 6 | 2017 |
Live or stay?: Classifying twitter users into residents and visitors M Hirota, K Saeki, Y Ehara, H Ishikawa Proceedings of International Conference on Knowledge Engineering and …, 2016 | 6 | 2016 |
Innovative software to efficiently learn English through extensive reading and personalized vocabulary acquisition Y Ehara International Conference on Artificial Intelligence in Education, 187-192, 2023 | 4 | 2023 |
Measuring Similarity between Manual Course Concepts and ChatGPT-generated Course Concepts. Y Ehara EDM, 2023 | 4 | 2023 |