no code implementations • ACL (RepL4NLP) 2021 • Irene Li, Prithviraj Sen, Huaiyu Zhu, Yunyao Li, Dragomir Radev
In this paper, we propose zero-shot instance-weighting, a general model-agnostic zero-shot learning framework for improving CLTC by leveraging source instance weighting.
no code implementations • LREC 2022 • Ishan Jindal, Alexandre Rademaker, Michał Ulewicz, Ha Linh, Huyen Nguyen, Khoi-Nguyen Tran, Huaiyu Zhu, Yunyao Li
Semantic role labeling (SRL) represents the meaning of a sentence in the form of predicate-argument structures.
1 code implementation • 28 Mar 2024 • Pingcheng Dong, Yonghao Tan, Dong Zhang, Tianwei Ni, Xuejiao Liu, Yu Liu, Peng Luo, Luhong Liang, Shih-Yang Liu, Xijie Huang, Huaiyu Zhu, Yun Pan, Fengwei An, Kwang-Ting Cheng
Non-linear functions are prevalent in Transformers and their lightweight variants, incurring substantial and frequently underestimated hardware costs.
1 code implementation • 12 Oct 2022 • Ishan Jindal, Alexandre Rademaker, Khoi-Nguyen Tran, Huaiyu Zhu, Hiroshi Kanayama, Marina Danilevsky, Yunyao Li
In this paper, we address key practical issues with existing evaluation scripts and propose a more strict SRL evaluation metric PriMeSRL.
no code implementations • NAACL 2021 • Arvind Agarwal, Laura Chiticariu, Poornima Chozhiyath Raman, Marina Danilevsky, Diman Ghazi, Ankush Gupta, Shanmukha Guttula, Yannis Katsis, Rajasekar Krishnamurthy, Yunyao Li, Shubham Mudgal, Vitobha Munigala, Nicholas Phan, Dhaval Sonawane, Sneha Srinivasan, Sudarshan R. Thitte, Mitesh Vasa, Ramiya Venkatachalam, Vinitha Yaski, Huaiyu Zhu
Contracts are arguably the most important type of business documents.
1 code implementation • 29 Nov 2020 • Ishan Jindal, Ranit Aharonov, Siddhartha Brahma, Huaiyu Zhu, Yunyao Li
Deep neural models achieve some of the best results for semantic role labeling.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Ishan Jindal, Yunyao Li, Siddhartha Brahma, Huaiyu Zhu
Although different languages have different argument annotations, polyglot training, the idea of training one model on multiple languages, has previously been shown to outperform monolingual baselines, especially for low resource languages.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Youxuan Jiang, Huaiyu Zhu, Jonathan K. Kummerfeld, Yunyao Li, Walter Lasecki
Resources for Semantic Role Labeling (SRL) are typically annotated by experts at great expense.
no code implementations • EMNLP 2020 • Li Zhang, Huaiyu Zhu, Siddhartha Brahma, Yunyao Li
Split and Rephrase is a text simplification task of rewriting a complex sentence into simpler ones.
no code implementations • WS 2019 • Huaiyu Zhu, Yunyao Li, Laura Chiticariu
Natural language understanding at the semantic level and independent of language variations is of great practical value.
Abstract Meaning Representation Natural Language Understanding +1
no code implementations • NAACL 2018 • Laura Chiticariu, Marina Danilevsky, Yunyao Li, Frederick Reiss, Huaiyu Zhu
The rise of enterprise applications over unstructured and semi-structured documents poses new challenges to text understanding systems across multiple dimensions.
no code implementations • COLING 2016 • Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yonas Kbrom, Yunyao Li, Huaiyu Zhu
We present PolyglotIE, a web-based tool for developing extractors that perform Information Extraction (IE) over multilingual data.