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Hits 1 – 17 of 17

1
WikiCSSH: Extracting and Evaluating Computer Science Subject Headings from Wikipedia ...
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From user-generated text to insight context-aware measurement of social impacts and interactions using natural language processing
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3
Beyond Citations: Corpus-based Methods for Detecting the Impact of Research Outcomes on Society
Rezapour, Rezvaneh [Verfasser]; Bopp, Jutta [Verfasser]; Fiedler, Norman [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020
DNB Subject Category Language
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4
Expanded Morality Lexicon ...
Rezapour, Rezvaneh; Diesner, Jana. - : University of Illinois at Urbana-Champaign, 2019
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5
Proceedings of the LREC 2018 workshop. 1st workshop on computational impact detection from text data. 08 May 2018 – Miyazaki, Japan
Diesner, Jana [Herausgeber]; Rehm, Georg [Herausgeber]; Witt, Andreas [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2018
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6
Impact of scientific research beyond academia: an alternative classification schema
Witt, Andreas [Verfasser]; Diesner, Jana [Verfasser]; Steffen, Diana [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2018
DNB Subject Category Language
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7
Impact of Entity Disambiguation Errors on Social Network Properties
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 9 No. 1 (2015): Ninth International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2015)
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8
Entity recognition for multi-modal socio-technical systems
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9
A unified framework to identify and extract uncertainty cues, holders, and scopes in one fell-swoop
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10
Sentiment Analysis with Incremental Human-in-the-Loop Learning and Lexical Resource Customization
Abstract: The adjustment of probabilistic models for sentiment analysis to changes in language use and the perception of products can be realized via incremental learning techniques. We provide a free, open and GUI-based sentiment analysis tool that allows for a) relabeling predictions and/or adding labeled instances to retrain the weights of a given model, and b) customizing lexical resources to account for false positives and false negatives in sentiment lexicons. Our results show that incrementally updating a model with information from new and labeled instances can substantially increase accuracy. The provided solution can be particularly helpful for gradually refining or enhancing models in an easily accessible fashion while avoiding a) the costs for training a new model from scratch and b) the deterioration of prediction accuracy over time.
Keyword: Natural Language Processing; Online Learning; Software; Text analysis
URL: http://hdl.handle.net/2142/79517
https://doi.org/10.1145/2700171.2791022
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11
Incremental sentiment prediction based on human in the loop learning
Mishra, Shubhanshu; Diesner, Jana; Tao, Liang. - : GSLIS Research Showcase 2015, 2015
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12
Unsupervised Construction of a Lexicon and a Repository of Variation Patterns for Arabic Modal Multiword Expressions ...
Al-Sabbagh, Rania; Girju, Roxana; Diesner, Jana. - : Unpublished, 2014
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13
Uncovering and Managing the Impact of Methodological Choices for the Computational Construction of Socio-Technical Networks from Texts
In: DTIC (2012)
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14
AutoMap User's Guide 2007
In: DTIC (2006)
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15
Measuring Situational Awareness through Analysis of Communications: A Preliminary Exercise
In: DTIC (2006)
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16
Impact of scientific research beyond academia: an alternative classification schema [Online resource]
IDS-Repository
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17
Beyond Citations: Corpus-based Methods for Detecting the Impact of Research Outcomes on Society [Online resource]
IDS-Repository
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