Search Results for author: Xinliang Frederick Zhang

Found 5 papers, 4 papers with code

Towards More Robust Natural Language Understanding

no code implementations1 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.

Natural Language Understanding Pretrained Language Models

Identifying inherent disagreement in natural language inference

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.

Natural Language Inference

COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval

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.

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