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1
Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse​ ...
Abstract: Online abuse and offensive language on social media have become widespread problems in today’s digital age. In this paper, we contribute a Reddit-based dataset, consisting of 68, 159 insults and 51, 102 compliments targeted at individuals instead of targeting a particular community or race. Secondly, we benchmark multiple existing state-of-the-art models for both classification and unsupervised style transfer on the dataset. Finally, we analyse the experimental results and conclude that the transfer task is challenging, requiring the models to understand the high degree of creativity exhibited in the data. ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/p5xp-j003
https://underline.io/lecture/30155-jibes-and-delights
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2
ViTA: Visual-Linguistic Translation by Aligning Object Tags ...
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3
HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection ...
Dowlagar, Suman; Mamidi, Radhika. - : arXiv, 2021
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4
Multilingual Pre-Trained Transformers and Convolutional NN Classification Models for Technical Domain Identification ...
Dowlagar, Suman; Mamidi, Radhika. - : arXiv, 2021
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5
Automatic Learning Assistant in Telugu ...
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6
gundapusunil at SemEval-2020 Task 9: Syntactic Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data ...
Gundapu, Sunil; Mamidi, Radhika. - : arXiv, 2020
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7
A SentiWordNet Strategy for Curriculum Learning in Sentiment Analysis ...
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8
Word Level Language Identification in English Telugu Code Mixed Data ...
Gundapu, Sunil; Mamidi, Radhika. - : arXiv, 2020
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9
A Sentiwordnet Strategy for Curriculum Learning in Sentiment Analysis
In: Natural Language Processing and Information Systems (2020)
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10
Conversational implicatures in English dialogue: Annotated dataset ...
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11
BCSAT : A Benchmark Corpus for Sentiment Analysis in Telugu Using Word-level Annotations ...
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12
Automatic Target Recovery for Hindi-English Code Mixed Puns ...
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13
Towards Automation of Sense-type Identification of Verbs in OntoSenseNet(Telugu) ...
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14
Towards Enhancing Lexical Resource and Using Sense-annotations of OntoSenseNet for Sentiment Analysis ...
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15
Context and Humor: Understanding Amul advertisements of India ...
Mamidi, Radhika. - : arXiv, 2018
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