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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 ...
Abstract: This paper presents a learning assistant that tests one's knowledge and gives feedback that helps a person learn at a faster pace. A learning assistant based on an automated question generation has extensive uses in education, information websites, self-assessment, FAQs, testing ML agents, research, etc. Multiple researchers, and companies have worked on Virtual Assistance, but majorly in English. Our work covers the fundamental question forms with question types: adjective, yes/no, adverb, verb, when, where, whose, quotative, and quantitative (how many/how much). We constructed rules for question generation using Part of Speech (POS) tags and Universal Dependency (UD) tags along with linguistic information of the surrounding relevant context of the word. Our system is primarily built on question generation in Telugu, and is also capable of evaluating the user's answers to the generated questions. ...
Keyword: Computational Linguistics; Condensed Matter Physics; FOS Physical sciences; Information and Knowledge Engineering; Machine Learning; Neural Network; Semantics
URL: https://underline.io/lecture/29898-automatic-learning-assistant-in-telugu
https://dx.doi.org/10.48448/0pb2-4461
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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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