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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1...43 44 45 46 47 48 49 50 51...54 Hits 921 – 940 of 1.080 921 Annotating argumentation in Swedish social media ... The 28th International Conference on Computational Linguistics 2020; Lindahl, Anna. - : Underline Science Inc., 2020 BASE Show details 922 Use of Claim Graphing and Argumentation Schemes in Biomedical Literature: A Manual Approach to Analysis ... The 28th International Conference on Computational Linguistics 2020; Mercer, Robert; Moser, Eli. - : Underline Science Inc., 2020 BASE Show details 923 Exploring Morality in Argumentation ... The 28th International Conference on Computational Linguistics 2020; Hulpuș, Ioana; Kobbe, Jonathan. - : Underline Science Inc., 2020 BASE Show details 924 Regularized graph convolutional networks for short text classification ... The 28th International Conference on Computational Linguistics 2020; Agarwal, Saurabh; Jia, Xiaowei; Kumar, Vipin; Rao, Nikhil; Subbian, Karthik; Tayal, Kshitij. - : Underline Science Inc., 2020 Abstract: "Short text classification is a fundamental problem in natural language processing, social network analysis, and e-commerce. The lack of structure in short text sequences limits the success of popular NLP methods based on deep learning. Simpler methods that rely on bag-of-words representations tend to perform on par with complex deep learning methods. To tackle the limitations of textual features in short text, we propose a Graph-regularized Graph Convolution Network (GR-GCN), which augments graph convolution networks by incorporating label dependencies in the output space. Our model achieves state-of-the-art results on both proprietary and external datasets, outperforming several baseline methods by up to 6% . Furthermore, we show that compared to baseline methods, GR-GCN is more robust to noise in textual features." ... Keyword: Computer and Information Science; Information and Knowledge Engineering; Intelligent System; Machine Learning; Natural Language Processing; Neural Network URL: https://underline.io/lecture/9016-regularized-graph-convolutional-networks-for-short-text-classification https://dx.doi.org/10.48448/3sqt-bv21 BASE Hide details 925 DebateSum: A large-scale argument mining and summarization dataset ... The 28th International Conference on Computational Linguistics 2020; Balaji, Arvind; Roush, Allen. - : Underline Science Inc., 2020 BASE Show details 926 ECHR: Legal Corpus for Argument Mining ... The 28th International Conference on Computational Linguistics 2020; Gonccalves, Teresa; Ieven, Aagje. - : Underline Science Inc., 2020 BASE Show details 927 A Large Scale Tweet Dataset for Urdu Text Sentiment Analysis ... Batra, Rakhi. - : Mendeley, 2020 BASE Show details 928 A Large Scale Tweet Dataset for Urdu Text Sentiment Analysis ... Batra, Rakhi. - : Mendeley, 2020 BASE Show details 929 Prerequisites for Extracting Entity Relations from Swedish Texts Lenas, Erik. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020 BASE Show details 930 Abstractive Document Summarization in High and Low Resource Settings Nikolov, Nikola I.. - : ETH Zurich, 2020 BASE Show details 931 Semi-Supervised Cleansing of Web Argument Corpora ... The 28th International Conference on Computational Linguistics 2020; Dorsch, Jonas; Wachsmuth, Henning. - : Underline Science Inc., 2020 BASE Show details 932 Style Analysis of Argumentative Texts by Mining Rhetorical Devices ... The 28th International Conference on Computational Linguistics 2020; Khatib, Khalid; Morari, viorel. - : Underline Science Inc., 2020 BASE Show details 933 Disease2Vec: a method of determining disease from gut microbiome using neural embeddings CHANDRASEKHAR, VASANTH. - 2020 BASE Show details 934 NLQ INTO SQL TRANSLATION USING COMPUTATIONAL LINGUISTICS Kedwan, Ftoon. - 2020 BASE Show details 935 Demo Application for the AutoGOAL Framework Almeida-Cruz, Yudivian; Montoyo, Andres; Muñoz, Rafael. - : Association for Computational Linguistics, 2020 BASE Show details 936 Automatic Discovery of Heterogeneous Machine Learning Pipelines: An Application to Natural Language Processing Estévez-Velarde, Suilan; Gutiérrez, Yoan; Almeida-Cruz, Yudivian. - : Association for Computational Linguistics, 2020 BASE Show details 937 The Disinformation Battle: Linguistics and Artificial Intelligence Join to Beat it ; La Batalla de la Desinformación: la Lingüística y la Inteligencia Artificial se Unen para Vencerla Bonet-Jover, Alba. - : CEUR, 2020 BASE Show details 938 Methods for morphology learning in low(er)-resource scenarios Bergmanis, Toms. - : The University of Edinburgh, 2020 BASE Show details 939 The Informativeness of Text, the Deep Learning Approach Huang, Allen; Wang, Hui; Yang, Yi. - 2020 BASE Show details 940 Automatic Analysis of Language Use in K-16 STEM Education and Impact on Student Performance Nadeem, Farah. - 2020 BASE Show details Page: 1...43 44 45 46 47 48 49 50 51...54

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