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hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification ...
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Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages ...
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A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification ...
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Hate-Alert@DravidianLangTech-EACL2021: Ensembling strategies for Transformer-based Offensive language Detection ...
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5
When expertise gone missing: Uncovering the loss of prolific contributors in Wikipedia ...
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Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages ...
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7
Deep Learning Models for Multilingual Hate Speech Detection ...
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Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection ...
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Thou Shalt Not Hate: Countering Online Hate Speech
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 13 (2019): Thirteenth International AAAI Conference on Web and Social Media; 369-380 ; 2334-0770 ; 2162-3449 (2019)
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On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings ...
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11
StRE: Self Attentive Edit Quality Prediction in Wikipedia ...
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12
Deep Dive into Anonymity: A Large Scale Analysis of Quora Questions ...
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13
Detecting Reliable Novel Word Senses: A Network-Centric Approach ...
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14
CL Scholar: The ACL Anthology Knowledge Graph Miner ...
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15
Analyzing the hate and counter speech accounts on Twitter ...
Mathew, Binny; Kumar, Navish; Ravina. - : arXiv, 2018
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16
What Propels Celebrity Follower Counts? Language Use or Social Connectivity ...
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17
Understanding Psycholinguistic Behavior of predominant drunk texters in Social Media ...
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18
AppTechMiner: Mining Applications and Techniques from Scientific Articles ...
Abstract: This paper presents AppTechMiner, a rule-based information extraction framework that automatically constructs a knowledge base of all application areas and problem solving techniques. Techniques include tools, methods, datasets or evaluation metrics. We also categorize individual research articles based on their application areas and the techniques proposed/improved in the article. Our system achieves high average precision (~82%) and recall (~84%) in knowledge base creation. It also performs well in application and technique assignment to an individual article (average accuracy ~66%). In the end, we further present two use cases presenting a trivial information retrieval system and an extensive temporal analysis of the usage of techniques and application areas. At present, we demonstrate the framework for the domain of computational linguistics but this can be easily generalized to any other field of research. ... : JCDL 2017, 6th International Workshop on Mining Scientific Publications. arXiv admin note: substantial text overlap with arXiv:1608.06386 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1709.03064
https://arxiv.org/abs/1709.03064
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Language Use Matters: Analysis of the Linguistic Structure of Question Texts Can Characterize Answerability in Quora ...
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20
Language Use Matters: Analysis of the Linguistic Structure of Question Texts Can Characterize Answerability in Quora
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 11 No. 1 (2017): Eleventh International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2017)
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