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1
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review ...
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2
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources ...
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3
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning ...
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4
SummEval: Re-evaluating Summarization Evaluation ...
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5
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining ...
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6
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning ...
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7
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations ...
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8
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks ...
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9
Overview and Results: CL-SciSumm Shared Task 2019 ...
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10
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model ...
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11
The CL-SciSumm Shared Task 2018: Results and Key Insights ...
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12
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions ...
Zhang, Rui; Yu, Tao; Er, He Yang. - : arXiv, 2019
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13
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation ...
Abstract: The field of Natural Language Processing (NLP) is growing rapidly, with new research published daily along with an abundance of tutorials, codebases and other online resources. In order to learn this dynamic field or stay up-to-date on the latest research, students as well as educators and researchers must constantly sift through multiple sources to find valuable, relevant information. To address this situation, we introduce TutorialBank, a new, publicly available dataset which aims to facilitate NLP education and research. We have manually collected and categorized over 6,300 resources on NLP as well as the related fields of Artificial Intelligence (AI), Machine Learning (ML) and Information Retrieval (IR). Our dataset is notably the largest manually-picked corpus of resources intended for NLP education which does not include only academic papers. Additionally, we have created both a search engine and a command-line tool for the resources and have annotated the corpus to include lists of research topics, ... : ACL 2018, 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, 2018 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1805.04617
https://dx.doi.org/10.48550/arxiv.1805.04617
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14
Selecting and Generating Computational Meaning Representations for Short Texts
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15
Robust Multilingual Part-of-Speech Tagging via Adversarial Training ...
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16
Classifying Syntactic Regularities for Hundreds of Languages ...
Coke, Reed; King, Ben; Radev, Dragomir. - : arXiv, 2016
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17
Predicting the impact of scientific concepts using full‐text features
McKeown, Kathy; Daume, Hal; Chaturvedi, Snigdha. - : Association for Computational Linguistics, 2016. : Wiley Periodicals, Inc., 2016
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18
Sentence simplification, compression, and disaggregation for summarization of sophisticated documents
Finegan‐dollak, Catherine; Radev, Dragomir R.. - : Association for Computational Linguistics, 2016. : Wiley Periodicals, Inc., 2016
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19
Puzzles in Logic, Languages and Computation : The Red Book
Radev, Dragomir [Herausgeber]; Pustejovsky, James [Verfasser eines Vorworts]. - Berlin : Springer Berlin, 2015
DNB Subject Category Language
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20
Puzzles in Logic, Languages and Computation : The Green Book
Radev, Dragomir. - Berlin : Springer Berlin, 2015
DNB Subject Category Language
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