Seuraa
Qin Dai
Qin Dai
Vahvistettu sähköpostiosoite verkkotunnuksessa tohoku.ac.jp - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Distantly supervised biomedical knowledge acquisition via knowledge graph based attention
Q Dai, N Inoue, P Reisert, R Takahashi, K Inui
Proceedings of the Workshop on Extracting Structured Knowledge from …, 2019
152019
Incorporating chains of reasoning over knowledge graph for distantly supervised biomedical knowledge acquisition
Q Dai, N Inoue, P Reisert, R Takahashi, K Inui
Proceedings of the 33rd Pacific Asia Conference on Language, Information and …, 2019
72019
Cross-stitching text and knowledge graph encoders for distantly supervised relation extraction
Q Dai, B Heinzerling, K Inui
arXiv preprint arXiv:2211.01432, 2022
52022
Two training strategies for improving relation extraction over universal graph
Q Dai, N Inoue, R Takahashi, K Inui
arXiv preprint arXiv:2102.06540, 2021
52021
Improving scientific relation classification with task specific supersense
Q Dai, N Inoue, P Reisert, K Inui
Proceedings of the 32nd Pacific Asia Conference on Language, Information and …, 2018
22018
Leveraging unannotated texts for scientific relation extraction
Q Dai, N Inoue, P Reisert, K Inui
IEICE TRANSACTIONS on Information and Systems 101 (12), 3209-3217, 2018
12018
Leveraging Document-Specific Information for Classifying Relations in Scientific Articles
Q Dai, N Inoue, P Reisert, K Inui
New Frontiers in Artificial Intelligence: JSAI-isAI Workshops, JURISIN, SKL …, 2018
12018
Representational Analysis of Binding in Language Models
Q Dai, B Heinzerling, K Inui
arXiv preprint arXiv:2409.05448, 2024
2024
Representational Analysis of Binding in Large Language Models
Q Dai, B Heinzerling, K Inui
arXiv e-prints, arXiv: 2409.05448, 2024
2024
Universal Graph based Distantly Supervised Relation Extraction
Q Dai, B Heinzerling, N Inoue, K Inui
Journal of Natural Language Processing 29 (4), 1138-1164, 2022
2022
Improving Distantly Supervised Relation Extraction via Textual Representation of Multi-hop Inference over Text
Q Dai, N Inoue, K Inui
2020
Exploiting Background Knowledge and Inference for Scientific Relation Extraction
代勤
Tohoku University, 2020
2020
Leveraging Document-Specific Information for Classifying Relations in Scientific Articles
K Inui, P Reisert, N Inoue, Q Dai
(No Title), 2018
2018
Universal Graph based Relation Extraction
Q Dai, B Heinzerling, K Inui
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Artikkelit 1–14