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Future Blog Post
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Research Goal
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</p>Personal Statement
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</p>Cross-lingual Transfer with Word Order Differences
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</p>Blog Post number 4
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</p>This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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</p>This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
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</p>This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
publications
Mitigating the Impact of Speech Recognition Errors on Chatbot using Sequence-to-Sequence Model
Published in IEEE ASRU, 2017
Pin-Jung Chen*, I-Hung Hsu*, Yi-Yao Huang*, Hung-Yi Lee.
NIESR: Nuisance Invariant End-to-end Speech Recognition
Published in Interspeech, 2019
I-Hung Hsu, Ayush Jaiswal, Premkumar Natarajan.
Deep structured neural network for event temporal relation extraction
Published in CoNLL, 2019
Rujun Han*, I-Hung Hsu*, Mu Yang, Aram Galstyan, Ralph Weischedel, Nanyun Peng.
ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations
Published in EMNLP, 2021
Rujun Han, I-Hung Hsu, Jiao Sun, Julia Baylon, Qiang Ning, Dan Roth, Nanyun Peng.
Discourse-level Relation Extraction via Graph Pooling
Published in DLG-AAAI Workshop, 2022
I-Hung Hsu, Xiao Guo, Premkumar Natarajan, Nanyun Peng.
Best Paper Award
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction
Published in ACL, 2022
Kuan-Hao Huang*, I-Hung Hsu*, Prem Natarajan, Kai-Wei Chang, Nanyun Peng.
DEGREE: A Data-Efficient Generation-Based Event Extraction Model
Published in NAACL, 2022
I-Hung Hsu*, Kuan-Hao Huang*, Elizabeth Boschee, Scott Miller, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng.
Summarization as Indirect Supervision for Relation Extraction
Published in EMNLP-Findings, 2022
Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen.
Multi-hop Evidence Retrieval for Cross-document Relation Extraction
Published in ACL-Findings, 2023
Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen.
TAGPRIME: A Unified Framework for Relational Structure Extraction
Published in ACL, 2023
I-Hung Hsu*, Kuan-Hao Huang*, Shuning Zhang, Wenxin Cheng, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng.
GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles
Published in ACL, 2023
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng.
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation
Published in ACL, 2023
Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, and Aram Galstyan.
Area Chair Award
Code-Switched Text Synthesis in Unseen Language Pairs
Published in ACL-Findings, 2023
I-Hung Hsu, Avik Ray, Shubham Garg, Nanyun Peng, Jing Huang.
AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model
Published in ACL, 2023
I-Hung Hsu*, Zhiyu Xie*, Kuan-Hao Huang, Prem Natarajan, Nanyun Peng.
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction
Published in ACL-Findings, 2024
Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji.
Contextual Label Projection for Cross-Lingual Structure Extraction
Published in NAACL, 2024
Tanymay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng.
Argument-Aware Approach To Event Linking
Published in ACL-Findings, 2024
I-Hung Hsu*, Zihan Xue*, Nilay Pochh, Sahil Bansal, Premkumar Natarajan, Jayanth Srinivasa, Nanyun Peng.
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation
Published in ACL-Findings, 2024
I-Hung Hsu, Zifeng Wang, Long T. Le, Lesly Miculicich, Nanyun Peng, Chen-Yu Lee, Tomas Pfister.
talks
Representation Learning for Low-resource Language Processing
Published:
</p>In this talk, I will present our works on representation learning for low-resource language processing.
teaching
Lecturer at BUET
Undergraduate course, Bangladesh University of Engineering and Technology, 2012
</p>I have taught 3 theory course and more than 10 Lab courses at BUET CSE department at the undergraduate level.