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A multidimensional approach for detecting irony in Twitter
TLDR
We describe here a set of textual features for recognizing irony at a linguistic level, especially in short texts created via social media. Expand
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SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter
TLDR
The paper describes the organization of the SemEval 2019 Task 5 about the detection of hate speech against immigrants and women in Spanish and English messages extracted from Twitter. Expand
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Overview of the 6th International Competition on Plagiarism Detection
TLDR
Thispaper overviews 18 plagiarism detectors that have been developed and evaluated within PAN'10. Expand
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ANERsys: An Arabic Named Entity Recognition System Based on Maximum Entropy
TLDR
The task of Named Entity Recognition (NER) allows to identify proper names as well as temporal and numeric expressions, in an open-domain text. Expand
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An Evaluation Framework for Plagiarism Detection
We present an evaluation framework for plagiarism detection. The framework provides performance measures that address the specifics of plagiarism detection, and the PAN-PC-10 corpus, which containsExpand
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Overview of the 3rd Author Profiling Task at PAN 2015
TLDR
We overview the framework and the results for the Author Profiling Shared Task organised at PAN 2015. Expand
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SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in Twitter
TLDR
This report summarizes the objectives and evaluation of the SemEval 2015 task on the sentiment analysis of figurative language on Twitter. Expand
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Arabic Named Entity Recognition using Conditional Random Fields
TLDR
We present another attempt to enhance the accuracy of ANERsys by changing the probabilistic model from Maximum Entropy to Conditional Random Fields which helped to improve the results significantly. Expand
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Improving the Reproducibility of PAN's Shared Tasks: - Plagiarism Detection, Author Identification, and Author Profiling
TLDR
This paper reports on the PAN 2014 evaluation lab which hosts three shared tasks on plagiarism detection, author identification, and author profiling. Expand
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Wikipedia Vandalism Detection: Combining Natural Language, Metadata, and Reputation Features
TLDR
We present the results of an effort to integrate three of the leading approaches to Wikipedia vandalism detection: a spatio-temporal analysis of metadata (STiki), a reputation-based system (WikiTrust), and natural language processing features. Expand
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