| LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention I Yamada, A Asai, H Shindo, H Takeda, Y Matsumoto EMNLP, 2020 | 814 | 2020 |
| Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation I Yamada, H Shindo, H Takeda, Y Takefuji CoNLL, 2016 | 417 | 2016 |
| Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia I Yamada, A Asai, J Sakuma, H Shindo, H Takeda, Y Takefuji, ... EMNLP (demonstration), 2020 | 303* | 2020 |
| Trick me if you can: Human-in-the-loop generation of adversarial examples for question answering E Wallace, P Rodriguez, S Feng, I Yamada, J Boyd-Graber TACL 7, 387-401, 2019 | 183 | 2019 |
| Named Entity Disambiguation for Noisy Text Y Eshel, N Cohen, K Radinsky, S Markovitch, I Yamada, O Levy CoNLL, 2017 | 112 | 2017 |
| Learning Distributed Representations of Texts and Entities from Knowledge Base I Yamada, H Shindo, H Takeda, Y Takefuji TACL, 2017 | 105 | 2017 |
| Global Entity Disambiguation with BERT I Yamada, K Washio, H Shindo, Y Matsumoto NAACL, 2021 | 98* | 2021 |
| Efficient Passage Retrieval with Hashing for Open-domain Question Answering I Yamada, A Asai, H Hajishirzi ACL, 2021 | 93 | 2021 |
| Neurips 2020 efficientqa competition: Systems, analyses and lessons learned S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ... NeurIPS 2020 Competition and Demonstration Track, 86-111, 2021 | 80 | 2021 |
| Enhancing Named Entity Recognition in Twitter Messages Using Entity Linking I Yamada, H Takeda, Y Takefuji Noisy User-generated Text, 136-140, 2015 | 63 | 2015 |
| mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models R Ri, I Yamada, Y Tsuruoka ACL, 2021 | 50 | 2021 |
| SemTab 2021: Tabular Data Annotation with MTab Tool. P Nguyen, I Yamada, N Kertkeidkachorn, R Ichise, H Takeda SemTab@ ISWC, 92-101, 2021 | 46 | 2021 |
| MTab4Wikidata at SemTab 2020: Tabular Data Annotation with Wikidata. P Nguyen, I Yamada, N Kertkeidkachorn, R Ichise, H Takeda SemTab@ ISWC 2775, 86-95, 2020 | 40 | 2020 |
| Segment-level neural conditional random fields for named entity recognition M Sano, H Shindo, I Yamada, Y Matsumoto IJCNLP, 97-102, 2017 | 38 | 2017 |
| Neural Attentive Bag-of-Entities Model for Text Classification I Yamada, H Shindo CoNLL, 2019 | 37 | 2019 |
| EASE: Entity-Aware Contrastive Learning of Sentence Embedding S Nishikawa, R Ri, I Yamada, Y Tsuruoka, I Echizen NAACL, 2022 | 34 | 2022 |
| An End-to-End Entity Linking Approach for Tweets I Yamada, H Takeda, Y Takefuji NEEL Challenge, 2015 | 24 | 2015 |
| Representation Learning of Entities and Documents from Knowledge Base Descriptions I Yamada, H Shindo, Y Takefuji COLING, 2018 | 20 | 2018 |
| Studio Ousia’s Quiz Bowl Question Answering System I Yamada, R Tamaki, H Shindo, Y Takefuji First NIPS ’17 Competition, The Springer Series on Challenges in Machine …, 2018 | 20 | 2018 |
| Evaluating the Helpfulness of Linked Entities to Readers I Yamada, T Ito, S Usami, S Takagi, H Takeda, Y Takefuji ACM Conference on Hypertext and Social Media (HT), 169-178, 2014 | 13 | 2014 |
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