no code implementations • 24 Jan 2024 • Xinliang Frederick Zhang, Carter Blum, Temma Choji, Shalin Shah, Alakananda Vempala
Event argument extraction (EAE), at the core of event-centric understanding, is the task of identifying role-specific text spans (i. e., arguments) for a given event.
1 code implementation • 16 Nov 2023 • Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang
News media employ moral language to create memorable stories, and readers often engage with the content that align with their values.
1 code implementation • 28 Oct 2023 • Kaijian Zou, Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang
We benchmark PAC to highlight the challenges of this task.
no code implementations • 28 Oct 2023 • Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nick Beauchamp, Lu Wang
Public opinion is shaped by the information news media provide, and that information in turn may be shaped by the ideological preferences of media outlets.
1 code implementation • 24 May 2023 • Naihao Deng, Xinliang Frederick Zhang, Siyang Liu, Winston Wu, Lu Wang, Rada Mihalcea
Annotator disagreement is ubiquitous in natural language processing (NLP) tasks.
no code implementations • 4 Nov 2022 • Changyuan Qiu, Winston Wu, Xinliang Frederick Zhang, Lu Wang
In this work, we introduce the task of multimodal ideology prediction, where a model predicts binary or five-point scale ideological leanings, given a text-image pair with political content.
1 code implementation • 2 Nov 2022 • Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang
We present a novel generative framework to allow the generation of canonical names for entities as well as stances among them.
1 code implementation • Findings (NAACL) 2022 • Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nick Beauchamp, Lu Wang
Ideology is at the core of political science research.
no code implementations • 1 Dec 2021 • Xinliang Frederick Zhang
Therefore, in order to have NLU models understand human language more effectively, it is expected to prioritize the study on robust natural language understanding.
1 code implementation • NAACL 2021 • Xinliang Frederick Zhang, Marie-Catherine de Marneffe
Natural language inference (NLI) is the task of determining whether a piece of text is entailed, contradicted by or unrelated to another piece of text.
2 code implementations • 30 Oct 2020 • Xiang Yue, Xinliang Frederick Zhang, Ziyu Yao, Simon Lin, Huan Sun
Clinical question answering (QA) aims to automatically answer questions from medical professionals based on clinical texts.
1 code implementation • EMNLP 2021 • Xinliang Frederick Zhang, Heming Sun, Xiang Yue, Simon Lin, Huan Sun
For evaluation, we introduce Query Bank and Relevance Set, where the former contains 1, 236 human-paraphrased queries while the latter contains ~32 human-annotated FAQ items for each query.