| 2026 | ACL | Accurate and Efficient Statistical Testing for Word Semantic Breadth. | Yo Ehara |
| 2026 | LREC | Recovering Registers from Leveled Wordlists. | Yo Ehara |
| 2025 | AIED | Generating Diverse Difficulty Examples in Embedding Vector Spaces via Inverse Embedding. | Yo Ehara |
| 2025 | CogSci | Measuring the Semantic Consistency of Ordinal Annotations via Text Embedding Spaces and Its Applications. | Yo Ehara |
| 2025 | CogSci | Constructing Multilingual Readability Metrics for Cross-Language FKGL Comparisons. | Yo Ehara |
| 2025 | CogSci | Examining Item Difficulty in NLP: To What Extent Do Examinees Affect Item Difficulty? | Yo Ehara |
| 2025 | PACLIC | Keeping LLMs from Being Distracted: Grade-Aware Kanji Reading Estimation Fully Executable in Web Browsers for Japanese Education. | Yo Ehara |
| 2024 | CogSci | Advanced Readability Estimation through Educational Content Complexity. | Yo Ehara |
| 2024 | PACLIC | An Analytical Study of the Flesch-Kincaid Readability Formulae to Explain Their Robustness over Time. | Yo Ehara |
| 2023 | AIED | Innovative Software to Efficiently Learn English Through Extensive Reading and Personalized Vocabulary Acquisition. | Yo Ehara |
| 2023 | AIED | A Support System to Help Teachers Design Course Plans Conforming to National Curriculum Guidelines. | Yo Ehara |
| 2023 | AIED | A Writing Support System that Scaffolds Language Learners via Autocompletion with Difficulty Prediction. | Yo Ehara |
| 2023 | CogSci | Applying Large Language Models to Generate High-Quality Multiple-Choice Test Questions. | Yo Ehara |
| 2023 | CogSci | Formulating Textual Difficulty of Questions as Population who Answer Correctly. | Yo Ehara |
| 2023 | EDM | Course Concepts: How Readable Are They for ESL Learners? | Yo Ehara |
| 2023 | EDM | Measuring Similarity between Manual Course Concepts and ChatGPT-generated Course Concepts. | Yo Ehara |
| 2023 | ICCE | A Novel Interpretation of Classical Readability Metrics: Revisiting the Language Model Underpinning the Flesch- Kincaid Index. | Yo Ehara |
| 2023 | SIGCSE | Analyzing Readability of Academic Paper Abstracts for ESL Learners across Various Computer Science Subfields. | Yo Ehara |
| 2022 | AIED | Assessing Readability of Learning Materials on Artificial Intelligence in English for Second Language Learners. | Yo Ehara |
| 2022 | AIED | Distributional Estimation of Personalized Second-Language Vocabulary Sizes with Wordlists that the Learner is Likely to Know. | Yo Ehara |
| 2022 | AIED | An Intelligent Interactive Support System for Word Usage Learning in Second Languages. | Yo Ehara |
| 2022 | AIED | Predicting Second Language Learners' Actual Knowledge Using Self-perceived Knowledge. | Yo Ehara |
| 2022 | CogSci | Neural Language Model-based Readability Assessment of Computer Science Introductory Texts for English-as-a-Second Language Learners. | Yo Ehara |
| 2022 | CogSci | Analyzing Reliability of Interpretable Parameters in Deep Learning Language Models. | Yo Ehara |
| 2022 | EDM | No Meaning Left Unlearned: Predicting Learners' Knowledge of Atypical Meanings of Words from Vocabulary Tests for Their Typical Meanings. | Yo Ehara |
| 2022 | EDM | Selecting Reading Texts Suitable for Incidental Vocabulary Learning by Considering the Estimated Distribution of Acquired Vocabulary. | Yo Ehara |
| 2022 | ICCE | Evaluating Deep Transfer Learning Models for Assessing Text Readability for ESL Learners. | Yo Ehara |
| 2022 | ITiCSE | Analyzing Semantically Distinctive English Word Usages in Computer Science for English-as-a-Second-Language Learners. | Yo Ehara |
| 2021 | ICTAI | LURAT: a Lightweight Unsupervised Automatic Readability Assessment Toolkit for Second Language Learners. | Yo Ehara |
| 2021 | PACLIC | Readability and Linearity. | Yo Ehara |
| 2019 | ICDM | Analyzing Similarities between Word Frequency Distributions of Various Corpora to Find Effective Features for Complex Word Identification. | Yo Ehara |
| 2019 | ICMLA | Uncertainty-Aware Personalized Readability Assessments for Second Language Learners. | Yo Ehara |
| 2019 | ICMLA | Graph-Based Analysis of Similarities between Word Frequency Distributions of Various Corpora for Complex Word Identification. | Yo Ehara |
| 2018 | LREC | Building an English Vocabulary Knowledge Dataset of Japanese English-as-a-Second-Language Learners Using Crowdsourcing. | Yo Ehara |
| 2017 | IJCNLP | Language-Independent Prediction of Psycholinguistic Properties of Words. | Yo Ehara |
| 2016 | COLING | Generating Video Description using Sequence-to-sequence Model with Temporal Attention. | Natsuda Laokulrat, Sang Phan, Noriki Nishida, Raphael Shu, Yo Ehara, Naoaki Okazaki, Yusuke Miyao, Hideki Nakayama |
| 2016 | IJCAI | Assessing Translation Ability through Vocabulary Ability Assessment. | Yo Ehara, Yukino Baba, Masao Utiyama, Eiichiro Sumita |
| 2016 | PRICAI | Inferring Tourist Behavior and Purposes of a Twitter User. | Yuya Nozawa, Masaki Endo, Yo Ehara, Masaharu Hirota, Shohei Yokoyama, Hiroshi Ishikawa |
| 2014 | EMNLP | Formalizing Word Sampling for Vocabulary Prediction as Graph-based Active Learning. | Yo Ehara, Yusuke Miyao, Hidekazu Oiwa, Issei Sato, Hiroshi Nakagawa |
| 2012 | COLING | Mining Words in the Minds of Second Language Learners: Learner-Specific Word Difficulty. | Yo Ehara, Issei Sato, Hidekazu Oiwa, Hiroshi Nakagawa |
| 2010 | IUI | Personalized reading support for second-language web documents by collective intelligence. | Yo Ehara, Nobuyuki Shimizu, Takashi Ninomiya, Hiroshi Nakagawa |
| 2008 | IJCNLP | Multilingual Text Entry using Automatic Language Detection. | Yo Ehara, Kumiko Tanaka-Ishii |