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Tuan Manh Lai
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2020 – today
- 2023
- [j2]Tuan Manh Lai, ChengXiang Zhai, Heng Ji:
KEBLM: Knowledge-Enhanced Biomedical Language Models. J. Biomed. Informatics 143: 104392 (2023) - [c22]Tuan Manh Lai, Giuseppe Castellucci, Saar Kuzi, Heng Ji, Oleg Rokhlenko:
External Knowledge Acquisition for End-to-End Document-Oriented Dialog Systems. EACL 2023: 3615-3629 - [i16]Tuan Manh Lai, Heng Ji:
Ensemble Transfer Learning for Multilingual Coreference Resolution. CoRR abs/2301.09175 (2023) - 2022
- [c21]Manling Li, Revanth Gangi Reddy, Ziqi Wang, Yi-Shyuan Chiang, Tuan Manh Lai, Pengfei Yu, Zixuan Zhang, Heng Ji:
COVID-19 Claim Radar: A Structured Claim Extraction and Tracking System. ACL (demo) 2022: 135-144 - [c20]Tuan Manh Lai, Heng Ji, ChengXiang Zhai:
Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking. ACL (Findings) 2022: 3696-3711 - [c19]Carl Edwards, Tuan Manh Lai, Kevin Ros, Garrett Honke, Kyunghyun Cho, Heng Ji:
Translation between Molecules and Natural Language. EMNLP 2022: 375-413 - [c18]Tuan Manh Lai, Trung Bui, Doo Soon Kim:
End-To-End Neural Coreference Resolution Revisited: A Simple Yet Effective Baseline. ICASSP 2022: 8147-8151 - [i15]Tuan Manh Lai, Heng Ji, ChengXiang Zhai:
Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking. CoRR abs/2202.13404 (2022) - [i14]Carl Edwards, Tuan Manh Lai, Kevin Ros, Garrett Honke, Heng Ji:
Translation between Molecules and Natural Language. CoRR abs/2204.11817 (2022) - 2021
- [c17]Tuan Manh Lai, Heng Ji, ChengXiang Zhai, Quan Hung Tran:
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference. ACL/IJCNLP (1) 2021: 6248-6260 - [c16]Tuan Manh Lai, Heng Ji, ChengXiang Zhai:
BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks. EMNLP (Findings) 2021: 1631-1639 - [c15]Haoyang Wen, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Ren Fung, Piyush Mishra, Qing Lyu, Dídac Surís, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji:
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. NAACL-HLT (Demonstrations) 2021: 133-143 - [c14]Tuan Manh Lai, Heng Ji, Trung Bui, Quan Hung Tran, Franck Dernoncourt, Walter Chang:
A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution. NAACL-HLT 2021: 3491-3499 - [i13]Tuan Manh Lai, Heng Ji, Trung Bui, Quan Hung Tran, Franck Dernoncourt, Walter Chang:
A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution. CoRR abs/2104.01697 (2021) - [i12]Tuan Manh Lai, Heng Ji, ChengXiang Zhai, Quan Hung Tran:
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference. CoRR abs/2105.13456 (2021) - [i11]Tuan Manh Lai, Trung Bui, Doo Soon Kim:
End-to-end Neural Coreference Resolution Revisited: A Simple yet Effective Baseline. CoRR abs/2107.01700 (2021) - [i10]Tuan Manh Lai, Yang Zhang, Evelina Bakhturina, Boris Ginsburg, Heng Ji:
A Unified Transformer-based Framework for Duplex Text Normalization. CoRR abs/2108.09889 (2021) - [i9]Tuan Manh Lai, Heng Ji, ChengXiang Zhai:
BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks. CoRR abs/2109.02237 (2021) - 2020
- [c13]Tuan Manh Lai, Trung Bui, Doo Soon Kim, Quan Hung Tran:
A Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents. COLING 2020: 649-656 - [c12]Quan Hung Tran, Nhan Dam, Tuan Manh Lai, Franck Dernoncourt, Trung Le, Nham Le, Dinh Phung:
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering. COLING 2020: 5205-5210 - [c11]Tuan Manh Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara:
A Simple But Effective Bert Model for Dialog State Tracking on Resource-Limited Systems. ICASSP 2020: 8034-8038 - [c10]Nham Le, Tuan Manh Lai, Trung Bui, Doo Soon Kim:
AutoNLU: An On-demand Cloud-based Natural Language Understanding System for Enterprises. AACL/IJCNLP (System Demonstrations) 2020: 8-13 - [c9]Tuan Manh Lai, Trung Bui, Nedim Lipka:
ISA: An Intelligent Shopping Assistant. AACL/IJCNLP (System Demonstrations) 2020: 14-19 - [i8]Tuan Manh Lai, Trung Bui, Nedim Lipka:
ISA: An Intelligent Shopping Assistant. CoRR abs/2007.03805 (2020) - [i7]Tuan Manh Lai, Trung Bui, Doo Soon Kim, Quan Hung Tran:
A Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents. CoRR abs/2010.11980 (2020) - [i6]Quan Hung Tran, Nhan Dam, Tuan Manh Lai, Franck Dernoncourt, Trung Le, Nham Le, Dinh Phung:
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering. CoRR abs/2011.03096 (2020) - [i5]Nham Le, Tuan Manh Lai, Trung Bui, Doo Soon Kim:
AutoNLU: An On-demand Cloud-based Natural Language Understanding System for Enterprises. CoRR abs/2011.13470 (2020)
2010 – 2019
- 2019
- [j1]Sugeerth Murugesan, Sana Malik, Fan Du, Eunyee Koh, Tuan Manh Lai:
DeepCompare: Visual and Interactive Comparison of Deep Learning Model Performance. IEEE Computer Graphics and Applications 39(5): 47-59 (2019) - [c8]Florent Langenfeld, Apostolos Axenopoulos, Halim Benhabiles, Petros Daras, Andrea Giachetti, Xusi Han, Karim Hammoudi, Daisuke Kihara, Tuan Manh Lai, Haiguang Liu, Mahmoud Melkemi, Stelios K. Mylonas, Genki Terashi, Yufan Wang, Féryal Windal, Matthieu Montès:
Protein Shape Retrieval Contest. 3DOR@Eurographics 2019: 25-31 - [c7]Ilja Gubins, Gijs van der Schot, Remco C. Veltkamp, Friedrich Förster, Xuefeng Du, Xiangrui Zeng, Zhenxi Zhu, Lufan Chang, Min Xu, Emmanuel Moebel, Antonio Martínez-Sánchez, Charles Kervrann, Tuan Manh Lai, Xusi Han, Genki Terashi, Daisuke Kihara, Benjamin A. Himes, Xiaohua Wan, Jingrong Zhang, Shan Gao, Yu Hao, Zhilong Lv, Xiaohua Wan, Zhidong Yang, Zijun Ding, Xuefeng Cui, Fa Zhang:
Classification in Cryo-Electron Tomograms. 3DOR@Eurographics 2019: 49-54 - [c6]Tuan Manh Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara:
A Gated Self-attention Memory Network for Answer Selection. EMNLP/IJCNLP (1) 2019: 5952-5958 - [i4]Tuan Manh Lai, Trung Bui, Nedim Lipka, Sheng Li:
Supervised Transfer Learning for Product Information Question Answering. CoRR abs/1901.02539 (2019) - [i3]Tuan Manh Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara:
A Gated Self-attention Memory Network for Answer Selection. CoRR abs/1909.09696 (2019) - [i2]Tuan Manh Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara:
A Simple but Effective BERT Model for Dialog State Tracking on Resource-Limited Systems. CoRR abs/1910.12995 (2019) - 2018
- [c5]Tuan Manh Lai, Trung Bui, Sheng Li, Nedim Lipka:
A Simple End-to-End Question Answering Model for Product Information. ECONLP@ACL 2018: 38-43 - [c4]Tuan Manh Lai, Trung Bui, Sheng Li:
A Review on Deep Learning Techniques Applied to Answer Selection. COLING 2018: 2132-2144 - [c3]Tuan Manh Lai, Trung Bui, Nedim Lipka, Sheng Li:
Supervised Transfer Learning for Product Information Question Answering. ICMLA 2018: 1109-1114 - [c2]Quan Hung Tran, Tuan Manh Lai, Gholamreza Haffari, Ingrid Zukerman, Trung Bui, Hung Bui:
The Context-Dependent Additive Recurrent Neural Net. NAACL-HLT 2018: 1274-1283 - [i1]Jacqueline Brixey, Ramesh R. Manuvinakurike, Nham Le, Tuan Manh Lai, Walter Chang, Trung Bui:
A System for Automated Image Editing from Natural Language Commands. CoRR abs/1812.01083 (2018) - 2016
- [c1]Sukhwan Jung, Tuan Manh Lai, Aviv Segev:
Analyzing Future Nodes in a Knowledge Network. BigData Congress 2016: 357-360
Coauthor Index
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