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Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review ...
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CLICKER: A Computational LInguistics Classification Scheme for Educational Resources ...
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CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning ...
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ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining ...
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R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning ...
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Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations ...
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ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks ...
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Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model ...
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Abstract:
Automatic generation of summaries from multiple news articles is a valuable tool as the number of online publications grows rapidly. Single document summarization (SDS) systems have benefited from advances in neural encoder-decoder model thanks to the availability of large datasets. However, multi-document summarization (MDS) of news articles has been limited to datasets of a couple of hundred examples. In this paper, we introduce Multi-News, the first large-scale MDS news dataset. Additionally, we propose an end-to-end model which incorporates a traditional extractive summarization model with a standard SDS model and achieves competitive results on MDS datasets. We benchmark several methods on Multi-News and release our data and code in hope that this work will promote advances in summarization in the multi-document setting. ... : ACL 2019, 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, 2019 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1906.01749 https://dx.doi.org/10.48550/arxiv.1906.01749
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The CL-SciSumm Shared Task 2018: Results and Key Insights ...
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Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions ...
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TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation ...
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Selecting and Generating Computational Meaning Representations for Short Texts
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Robust Multilingual Part-of-Speech Tagging via Adversarial Training ...
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Classifying Syntactic Regularities for Hundreds of Languages ...
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Predicting the impact of scientific concepts using full‐text features
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Sentence simplification, compression, and disaggregation for summarization of sophisticated documents
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