Kathleen McKeown
7 papers in the PaperMetrix corpus
Papers by this author
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Surprise Languages: Rapid-Response Cross-Language IR
2019 · Edinburgh Research Explorer (University of Edinburgh)
Sixteen years ago, the first "surprise language exercise" was conducted, in Cebuano. The evaluation goal of a surprise language exercise is to learn how well systems for a new language can be quickly built. This …
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Automatically Inferring Gender Associations from Language
2019 · arXiv (Cornell University)
In this paper, we pose the question: do people talk about women and men in different ways? We introduce two datasets and a novel integration of approaches for automatically inferring gender associations from language, discovering …
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Entity-level Factual Consistency of Abstractive Text Summarization
2021
Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cicero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen McKeown, Bing Xiang. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. …
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Cross-language Sentence Selection via Data Augmentation and Rationale Training
2021 · arXiv (Cornell University)
This paper proposes an approach to cross-language sentence selection in a low-resource setting. It uses data augmentation and negative sampling techniques on noisy parallel sentence data to directly learn a cross-lingual embedding-based query relevance model. …
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Read Top News First: A Document Reordering Approach for Multi-Document News Summarization
2022 · arXiv (Cornell University)
A common method for extractive multi-document news summarization is to re-formulate it as a single-document summarization problem by concatenating all documents as a single meta-document. However, this method neglects the relative importance of documents. We …
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Supporting Clustering with Contrastive Learning
2021
Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: …
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Benchmarking Large Language Models for News Summarization
2024 · Transactions of the Association for Computational Linguistics
Abstract Large language models (LLMs) have shown promise for automatic summarization but the reasons behind their successes are poorly understood. By conducting a human evaluation on ten LLMs across different pretraining methods, prompts, and model …