Results 11 to 20 of about 2,443,556 (65)
Graph Convolution for Multimodal Information Extraction from Visually Rich Documents [PDF]
North American Chapter of the Association for Computational Linguistics, 2019 Visually rich documents (VRDs) are ubiquitous in daily business and life. Examples are purchase receipts, insurance policy documents, custom declaration forms and so on.
Xiaojing Liu +3 more
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A Divide-and-Conquer Approach to the Summarization of Long Documents
IEEE/ACM Transactions on Audio Speech and Language Processing, 2020 We present a novel divide-and-conquer method for the neural summarization of long documents. Our method exploits the discourse structure of the document and uses sentence similarity to split the problem into an ensemble of smaller summarization problems.
Alexios Gidiotis, Grigorios Tsoumakas
semanticscholar +1 more source
Chargrid: Towards Understanding 2D Documents [PDF]
Conference on Empirical Methods in Natural Language Processing, 2018 We introduce a novel type of text representation that preserves the 2D layout of a document. This is achieved by encoding each document page as a two-dimensional grid of characters.
Anoop R. Katti +6 more
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Question Answering by Reasoning Across Documents with Graph Convolutional Networks [PDF]
North American Chapter of the Association for Computational Linguistics, 2018 Most research in reading comprehension has focused on answering questions based on individual documents or even single paragraphs. We introduce a neural model which integrates and reasons relying on information spread within documents and across multiple
Nicola De Cao, Wilker Aziz, Ivan Titov
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Coarse-to-Fine Question Answering for Long Documents [PDF]
Annual Meeting of the Association for Computational Linguistics, 2016 We present a framework for question answering that can efficiently scale to longer documents while maintaining or even improving performance of state-of-the-art models.
Eunsol Choi +5 more
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PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents
Annual Meeting of the Association for Computational Linguistics, 2017 The large and growing amounts of online scholarly data present both challenges and opportunities to enhance knowledge discovery. One such challenge is to automatically extract a small set of keyphrases from a document that can accurately describe the ...
C. Florescu, Cornelia Caragea
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Dynamic Documents with R and knitr
, 2015 Suitable for both beginners and advanced users, this book shows you how to write reports in simple languages such as Markdown. The reports range from homework, projects, exams, books, blogs, and web pages to any documents related to statistical graphics,
Yihui Xie
semanticscholar +1 more source
Documents Without Borders: Show Me the (International) Data!
Documents to the People, 2023 Dory Shaffer
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Book Censorship in the United States: A Government Documents Story
Documents to the People, 2023 Claudia Davidson
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Documents without Borders: Beneath the Rubble
Documents to the People, 2023 Dory Shaffer
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