I-Hung Hsu

According to our database1, I-Hung Hsu authored at least 24 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Contextual Label Projection for Cross-Lingual Structured Prediction.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Argument-Aware Approach To Event Linking.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
A Reevaluation of Event Extraction: Past, Present, and Future Challenges.
CoRR, 2023

Contextual Label Projection for Cross-Lingual Structure Extraction.
CoRR, 2023

GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multi-hop Evidence Retrieval for Cross-document Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Code-Switched Text Synthesis in Unseen Language Pairs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

TAGPRIME: A Unified Framework for Relational Structure Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
A Simple and Unified Tagging Model with Priming for Relational Structure Predictions.
CoRR, 2022

GENEVA: Pushing the Limit of Generalizability for Event Argument Extraction with 100+ Event Types.
CoRR, 2022

DEGREE: A Data-Efficient Generation-Based Event Extraction Model.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Summarization as Indirect Supervision for Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Event Extraction as Natural Language Generation.
CoRR, 2021

ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning.
CoRR, 2021

MrGCN: Mirror Graph Convolution Network for Relation Extraction with Long-Term Dependencies.
CoRR, 2021

ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2019
NIESR: Nuisance Invariant End-to-End Speech Recognition.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Deep Structured Neural Network for Event Temporal Relation Extraction.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2017
Mitigating the impact of speech recognition errors on chatbot using sequence-to-sequence model.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017


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