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Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments ...
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Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization ...
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Abstract:
The IMPRESSIONS section of a radiology report about an imaging study is a summary of the radiologist's reasoning and conclusions, and it also aids the referring physician in confirming or excluding certain diagnoses. A cascade of tasks are required to automatically generate an abstractive summary of the typical information-rich radiology report. These tasks include acquisition of salient content from the report and generation of a concise, easily consumable IMPRESSIONS section. Prior research on radiology report summarization has focused on single-step end-to-end models -- which subsume the task of salient content acquisition. To fully explore the cascade structure and explainability of radiology report summarization, we introduce two innovations. First, we design a two-step approach: extractive summarization followed by abstractive summarization. Second, we additionally break down the extractive part into two independent tasks: extraction of salient (1) sentences and (2) keywords. Experiments on a publicly ... : Accepted at 60th Annual Meeting of the Association for Computational Linguistics 2022 Main Conference ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2203.08257 https://dx.doi.org/10.48550/arxiv.2203.08257
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Graph Algorithms for Multiparallel Word Alignment
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In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ; The 2021 Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-03424044 ; The 2021 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Nov 2021, Punta Cana, Dominica ; https://2021.emnlp.org/ (2021)
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Does He Wink or Does He Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models ...
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ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus ...
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Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models ...
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Wine is Not v i n. -- On the Compatibility of Tokenizations Across Languages ...
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Locating Language-Specific Information in Contextualized Embeddings ...
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Measuring and Improving Consistency in Pretrained Language Models ...
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