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1
Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse​ ...
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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) ...
Abstract: In this paper, we discuss the enrichment of a manually developed resource of Telugu lexicon, OntoSenseNet. OntoSenseNet is a ontological sense annotated lexicon that marks each verb of Telugu with a primary and a secondary sense. The area of research is relatively recent but has a large scope of development. We provide an introductory work to enrich the OntoSenseNet to promote further research in Telugu. Classifiers are adopted to learn the sense relevant features of the words in the resource and also to automate the tagging of sense-types for verbs. We perform a comparative analysis of different classifiers applied on OntoSenseNet. The results of the experiment prove that automated enrichment of the resource is effective using SVM classifiers and Adaboost ensemble. ... : Accepted Long Oral Paper at 6th International Workshop on Natural Language Processing for Social Media (SocialNLP) at 56th Annual Meeting of the Association for Computational Linguistics, ACL ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1807.01677
https://dx.doi.org/10.48550/arxiv.1807.01677
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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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