1 code implementation • NAACL (TextGraphs) 2021 • Qi Zeng, Manling Li, Tuan Lai, Heng Ji, Mohit Bansal, Hanghang Tong
Current methods for event representation ignore related events in a corpus-level global context.
1 code implementation • NAACL (ACL) 2022 • Xinya Du, Zixuan Zhang, Sha Li, Pengfei Yu, Hongwei Wang, Tuan Lai, Xudong Lin, Ziqi Wang, Iris Liu, Ben Zhou, Haoyang Wen, Manling Li, Darryl Hannan, Jie Lei, Hyounghun Kim, Rotem Dror, Haoyu Wang, Michael Regan, Qi Zeng, Qing Lyu, Charles Yu, Carl Edwards, Xiaomeng Jin, Yizhu Jiao, Ghazaleh Kazeminejad, Zhenhailong Wang, Chris Callison-Burch, Mohit Bansal, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Martha Palmer, Heng Ji
We introduce RESIN-11, a new schema-guided event extraction&prediction framework that can be applied to a large variety of newsworthy scenarios.
1 code implementation • ACL 2022 • Manling Li, Revanth Gangi Reddy, Ziqi Wang, Yi-shyuan Chiang, Tuan Lai, Pengfei Yu, Zixuan Zhang, Heng Ji
To tackle the challenge of accurate and timely communication regarding the COVID-19 pandemic, we present a COVID-19 Claim Radar to automatically extract supporting and refuting claims on a daily basis.
1 code implementation • 25 Apr 2022 • Carl Edwards, Tuan Lai, Kevin Ros, Garrett Honke, Kyunghyun Cho, Heng Ji
We present $\textbf{MolT5}$ $-$ a self-supervised learning framework for pretraining models on a vast amount of unlabeled natural language text and molecule strings.
Ranked #4 on Text-based de novo Molecule Generation on ChEBI-20
1 code implementation • Findings (EMNLP) 2021 • Tuan Lai, Heng Ji, ChengXiang Zhai
Biomedical entity linking is the task of linking entity mentions in a biomedical document to referent entities in a knowledge base.
1 code implementation • NAACL 2021 • Haoyang Wen, Ying Lin, Tuan Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Fung, Piyush Mishra, Qing Lyu, D{\'\i}dac Sur{\'\i}s, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji
We present a new information extraction system that can automatically construct temporal event graphs from a collection of news documents from multiple sources, multiple languages (English and Spanish for our experiment), and multiple data modalities (speech, text, image and video).
1 code implementation • ACL 2021 • Tuan Lai, Heng Ji, ChengXiang Zhai, Quan Hung Tran
It then uses an entity linker to form a knowledge graph containing relevant background knowledge for the the entity mentions in the text.
1 code implementation • NAACL 2021 • Tuan Lai, Heng Ji, Trung Bui, Quan Hung Tran, Franck Dernoncourt, Walter Chang
Event coreference resolution is an important research problem with many applications.
no code implementations • Asian Chapter of the Association for Computational Linguistics 2020 • Nham Le, Tuan Lai, Trung Bui, Doo Soon Kim
With the renaissance of deep learning, neural networks have achieved promising results on many natural language understanding (NLU) tasks.
no code implementations • COLING 2020 • Quan Tran, Nhan Dam, Tuan Lai, Franck Dernoncourt, Trung Le, Nham Le, Dinh Phung
Interpretability and explainability of deep neural networks are challenging due to their scale, complexity, and the agreeable notions on which the explaining process rests.
1 code implementation • IJCNLP 2019 • Tuan Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara
Answer selection is an important research problem, with applications in many areas.
no code implementations • 3 Dec 2018 • Jacqueline Brixey, Ramesh Manuvinakurike, Nham Le, Tuan Lai, Walter Chang, Trung Bui
This work presents the task of modifying images in an image editing program using natural language written commands.
no code implementations • WS 2018 • Tuan Lai, Trung Bui, Sheng Li, Nedim Lipka
When evaluating a potential product purchase, customers may have many questions in mind.
no code implementations • NAACL 2018 • Quan Hung Tran, Tuan Lai, Gholamreza Haffari, Ingrid Zukerman, Trung Bui, Hung Bui
Contextual sequence mapping is one of the fundamental problems in Natural Language Processing (NLP).