Search Results - "[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing"
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Sentiment analysis on social media for stock movement prediction
ISSN: 0957-4174, 1873-6793Published: Elsevier Ltd 30.12.2015Published in Expert systems with applications (30.12.2015)“…•A novel method for predicting stock price movement was presented.•Topics and sentiments of them were extracted from social media as the feature.•Two methods…”
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Journal Article -
2
Universal Dependencies for Mandarin Chinese
ISSN: 1574-020X, 1574-0218Published: Springer Science and Business Media LLC 24.11.2021Published in Language Resources and Evaluation (24.11.2021)Get full text
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Preparing Big Manuscript Data for Hierarchical Clustering with Minimal HTR Training
ISSN: 2416-5999, 2416-5999Published: INRIA 20.12.2023Published in Journal of data mining and digital humanities (20.12.2023)“…HTR (Handwritten Text Recognition) technologies have progressed enough to offer high-accuracy results in recognising handwritten documents, even on a…”
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Automatic medieval charters structure detection : A Bi-LSTM linear segmentation approach
ISSN: 2416-5999, 2416-5999Published: INRIA 30.10.2022Published in Journal of data mining and digital humanities (30.10.2022)“…This paper presents a model aiming to automatically detect sections in medieval Latin charters. These legal sources are some of the most important sources for…”
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Leveraging Concepts in Open Access Publications
ISSN: 2416-5999, 2416-5999Published: Nicolas Turenne 01.06.2020Published in Journal of data mining and digital humanities (01.06.2020)“…This paper addresses the integration of a Named Entity Recognition and Disambiguation (NERD) service within a group of open access (OA) publishing digital…”
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Extraction and evaluation of formulaic expressions used in scholarly papers
ISSN: 0957-4174Published: Elsevier BV 01.01.2022Published in Expert Systems with Applications (01.01.2022)Get full text
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Leveraging Concepts in Open Access Publications
ISSN: 2416-5999, 2416-5999Published: INRIA 15.06.2020Published in Journal of data mining and digital humanities (15.06.2020)“…This paper addresses the integration of a Named Entity Recognition and Disambiguation (NERD) service within a group of open access (OA) publishing digital…”
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Journal Article -
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Intertextual Pointers in the Text Alignment Network
ISSN: 2416-5999, 2416-5999Published: Nicolas Turenne 01.10.2017Published in Journal of data mining and digital humanities (01.10.2017)“…The Text Alignment Network (TAN) is a suite of XML encoding formats intended to serve anyone who wishes to encode, exchange, and study multiple versions of…”
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Intertextual Pointers in the Text Alignment Network
ISSN: 2416-5999, 2416-5999Published: INRIA 27.10.2017Published in Journal of data mining and digital humanities (27.10.2017)“…The Text Alignment Network (TAN) is a suite of XML encoding formats intended to serve anyone who wishes to encode, exchange, and study multiple versions of…”
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Multimodal Behavioral Cues Analysis of the Sense of Presence and Social Presence During a Social Interaction With a Virtual Patient
ISSN: 2624-9898Published: Frontiers Media SA 15.04.2022Published in Frontiers in Computer Science (15.04.2022)Get full text
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Modular Ontology Learning with Topic Modelling over Core Ontology
ISSN: 1877-0509, 1877-0509Published: Elsevier BV 01.01.2019Published in Procedia Computer Science (01.01.2019)Get full text
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HistoInformatics2021: The 6th International Workshop on Computational History
Published: IEEE 01.09.2021Published in 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) (01.09.2021)“…This paper discusses HistoInformatics2021 workshop (the 6th International Workshop on Computational History) held in conjunction with the JCDL2021 conference…”
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Conference Proceeding -
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The structure of unseen trigrams and its application to language models: A first investigation
ISBN: 9781424478217, 1424478219Published: IEEE 01.10.2010Published in 2010 4th International Universal Communication Symposium (01.10.2010)“…In a series of preparatory experiments in 4 languages on subsets of the Europarl corpus, we show that a large number of unseen trigrams can be reconstructed by…”
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Conference Proceeding

