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Hits 61 – 80 of 276

61
Digital Humanities, Computational Linguistics, And Natural Language Processing ...
Piotrowski, Michael. - : Zenodo, 2016
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62
Contextual Distribution For Textual Alignment ...
Bizzoni, Yuri; Reboul, Marianne. - : Zenodo, 2016
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63
Digital Humanities, Computational Linguistics, And Natural Language Processing ...
Piotrowski, Michael. - : Zenodo, 2016
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64
The Potential Of Automatic Word Comparison For Historical Linguistics: Source Code And Data ...
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65
Wagner-Fischer Demo ...
List, Johann-Mattis. - : figshare, 2016
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66
Wagner-Fischer Demo ...
List, Johann-Mattis. - : figshare, 2016
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67
Language model driven analysis : simplifying text on an individual scale ... : Benutzerzentrierte Modelle - Versuch unbekannte Wörter zu finden ...
Strelzow, Alexej. - : TU Wien, 2016
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68
Deep Structured Models for Text Understanding ...
Su, Yifan. - : ETH Zurich, 2016
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69
Modeling of problems of projection: A non-countercyclic approach
In: Glossa: a journal of general linguistics; Vol 1, No 1 (2016); 7 ; 2397-1835 (2016)
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70
Toward Online Linguistic Surveillance of Threatening Messages
In: Journal of Digital Forensics, Security and Law (2016)
Abstract: Threats are communicative acts, but it is not always obvious what they communicate or when they communicate imminent credible and serious risk. This paper proposes a research- and theory-based set of over 20 potential linguistic risk indicators that may discriminate credible from non-credible threats within online threat message corpora. Two prongs are proposed: (1) Using expert and layperson ratings to validate subjective scales in relation to annotated known risk messages, and (2) Using the resulting annotated corpora for automated machine learning with computational linguistic analyses to classify non-threats, false threats, and credible threats. Rating scales are proposed, existing threat corpora are identified, and some prospective computational linguistic procedures are identified. Implications for ongoing threat surveillance and its applications are explored.
Keyword: computational linguistics; Computer Engineering; Computer Law; Computer Sciences; cyber-harassment; Electrical and Computer Engineering; Forensic Science and Technology; Information Security; risk assessment; threats
URL: https://commons.erau.edu/jdfsl/vol11/iss3/7
https://commons.erau.edu/cgi/viewcontent.cgi?article=1418&context=jdfsl
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71
Towards a Computational Model of Frame of Reference Alignment in Swedish Dialogue
In: Conference papers (2016)
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72
The Use of Automated Speech Recognition in Electronic Health Records in Rural Health Care Systems
In: Undergraduate Honors Theses (2016)
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73
Blir studenternas språk sämre?
Kann, Viggo. - : KTH, Teoretisk datalogi, TCS, 2016. : Umeå, 2016
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74
Automatic Turn Segmentation for Movie & TV Subtitles
Meena, Raveesh; Lison, P.. - : KTH, Tal-kommunikation, 2016
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75
Creating Knowledge Graphs using Distributional Semantic Models
Sandelius, Hugo. - : KTH, Skolan för datavetenskap och kommunikation (CSC), 2016
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76
SPACEREF : a corpus of street-level geographic descriptions
Götze, Jana; Boye, Johan. - : KTH, Tal-kommunikation, 2016
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77
The Gavagai Living Lexicon
Persson, Per; Espinoza, Fredrik; Gyllensten, Amaru Cuba. - : Gavagai, Sweden, 2016. : SICS, Sweden, 2016. : ELRA, 2016
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78
Metod för automatiserad sammanfattning och nyckelordsgenerering ; Method for automated summary and keyword generator
Björkvall, Dennis; Ploug, Martin. - : KTH, Data- och elektroteknik, 2016
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79
Talk the walk : Empirical studies and data-driven methods for geographical natural language applications
Götze, Jana. - : KTH, Tal, musik och hörsel, TMH, 2016
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80
Irish dependency treebanking and parsing
Lynn, Teresa. - : Sydney, Australia : Macquarie University, 2016
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