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Do Linguistic Features Help Deep Learning? The Case of Aggressiveness in Mexican Tweets
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Fake Opinion Detection: How Similar are Crowdsourced Datasets to Real Data?
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On the Use of Character n-grams as the only Intrinsic Evidence of Plagiarism
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On the use of word embedding for cross language plagiarism detection
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Improving Attitude Words Classification for Opinion Mining using Word Embedding
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6 |
Paraphrase Plagiarism Identifcation with Character-level Features
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7 |
A resource-light method for cross-lingual semantic textual similarity
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8 |
A Knowledge-Based Weighted KNN for Detecting Irony in Twitter
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Character N-Grams for Detecting Deceptive Controversial Opinions
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Semantically-informed distance and similarity measures for paraphrase plagiarism identification
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11 |
Overview of PAN'17: Author Identification, Author Profiling, and Author Obfuscation
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A Systematic Study of Knowledge Graph Analysis for Cross-language Plagiarism Detection
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Cross-language Plagiarism Detection over Continuous-space- and Knowledge Graph-based Representations of Language
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14 |
Overview of the PAN'2016 - New Challenges for Authorship Analysis: Cross-genre Profiling, Clustering, Diarization, and Obfuscation
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16 |
Figurative Messages and Affect in Twitter: Differences Between #irony, #sarcasm and #not
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18 |
Applying basic features from sentiment analysis on automatic irony detection
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