LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
Ikuya Yamada, Akari Asai (University of Washington), Hiroyuki Shindo (NAIST), Hideaki Takeda (NII) and Yuji Matsumoto (RIKEN AIP)
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia
Ikuya Yamada, Akari Asai (University of Washington), Jin Sakuma (The University of Tokyo), Hiroyuki Shindo (NAIST), Hideaki Takeda (NII), Yoshiyasu Takefuji (Keio University), Yuji Matsumoto (RIKEN AIP)
Conference on Empirical Methods in Natural Language Processing (EMNLP), system demonstrations, 2020
Neural Attentive Bag-of-Entities Model for Text Classification
Ikuya Yamada, Hiroyuki Shindo (NAIST)
The SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2019 (to appear)
Trick Me If You Can: Human-in-the-loop Generation of Adversarial Examples for Question Answering
Eric Wallace (U. Maryland), Pedro Rodriguez (U. Maryland), Shi Feng (U. Maryland), Ikuya Yamada, Jordan Boyd-Graber (U. Maryland)
Transactions of the Association for Computational Linguistics (TACL), 2019
Representation Learning of Entities and Documents from Knowledge Base Descriptions
Ikuya Yamada, Hiroyuki Shindo (NAIST), Yoshiyasu Takefuji (Keio)
International Conference on Computational Linguistics (COLING), 2018
Studio Ousia's Quiz Bowl Question Answering System
Ikuya Yamada, Ryuji Tamaki, Hiroyuki Shindo (NAIST), Yoshiyasu Takefuji (Keio)
First NIPS ’17 Competition, The Springer Series on Challenges in Machine Learning, 2018
Learning Distributed Representations of Texts and Entities from Knowledge Base
Ikuya Yamada, Hiroyuki Shindo (NAIST), Hideaki Takeda (NII), Yoshiyasu Takefuji (Keio)
Transactions of the Association for Computational Linguistics (TACL), 2017
Segment-Level Neural Conditional Random Fields for Named Entity Recognition
Motoki Sato (NAIST), Hiroyuki Shindo (NAIST), Ikuya Yamada, Yuji Matsumoto (NAIST)
International Joint Conference on Natural Language Processing (IJCNLP), 2017
Named Entity Disambiguation for Noisy Text
Yotam Eshel (Technion), Noam Cohen (Technion), Kira Radinsky (Technion, eBay), Shaul Markovitch (Technion), Ikuya Yamada, Omer Levy (University of Washington)
The SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2017
Ensemble of Neural Classifiers for Scoring Knowledge Base Triples
Ikuya Yamada, Motoki Sato (NAIST), Hiroyuki Shindo (NAIST)
WSDM Cup (Cambridge, UK), 2017
Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
Ikuya Yamada, Hiroyuki Shindo (NAIST), Hideaki Takeda (NII), Yoshiyasu Takefuji (Keio)
The SIGNLL Conference on Computational Natural Language Learning (CoNLL), (Berlin, Germany), 2016, pp.250-259
Enhancing Named Entity Recognition in Twitter Messages Using Entity Linking
Ikuya Yamada, Hideaki Takeda (NII), Yoshiyasu Takefuji (Keio)
ACL 2015 Workshop on Noisy User-generated Text (Beijing, China), 2015, pp.136-140
(Shared task winner)
An End-to-End Entity Linking Approach for Tweets
Ikuya Yamada, Hideaki Takeda (NII), Yoshiyasu Takefuji (Keio)
WWW 2015 Workshop on Making Sense of Microposts (Florence, Italy), 2015, pp.55-56
(Competition winner)
Evaluating the Helpfulness of Linked Entities to Readers
Ikuya Yamada, Tomotaka Ito, Shinsuke Takagi, Shinnosuke Usami, Hideaki Takeda (NII), Yoshiyasu Takefuji (Keio)
26th ACM Conference on Hypertext and Social Media (Santiago Downtown, Chile), 2014, pp.169-178
