Search Results for author: Radhika Mamidi

Found 106 papers, 13 papers with code

Towards Sentiment Analysis of Tobacco Products’ Usage in Social Media

no code implementations RANLP 2021 Venkata Himakar Yanamandra, Kartikey Pant, Radhika Mamidi

We release SentiSmoke-Twitter and SentiSmoke-Reddit datasets, along with a comprehensive annotation schema for identifying tobacco products’ sentiment.

Sentiment Analysis text-classification +1

Automatic Learning Assistant in Telugu

no code implementations ACL (dialdoc) 2021 Meghana Bommadi, Shreya Terupally, Radhika Mamidi

We built our learning assistant for Telugu language to help with teaching in the mother tongue, which is the most efficient way of learning.

POS Question Generation +3

Political Discourse Analysis: A Case Study of Code Mixing and Code Switching in Political Speeches

no code implementations NAACL (CALCS) 2021 Dama Sravani, Lalitha Kameswari, Radhika Mamidi

Political discourse is one of the most interesting data to study power relations in the framework of Critical Discourse Analysis.

A Novel Annotation Schema for Conversational Humor: Capturing the Cultural Nuances in Kanyasulkam

no code implementations COLING (LAW) 2020 Vaishnavi Pamulapati, Gayatri Purigilla, Radhika Mamidi

Humor research is a multifaceted field that has led to a better understanding of humor’s psychological effects and the development of different theories of humor.

Multichannel LSTM-CNN for Telugu Text Classification

no code implementations ICON 2020 Sunil Gundapu, Radhika Mamidi

With the instantaneous growth of text information, retrieving domain-oriented information from the text data has a broad range of applications in Information Retrieval and Natural language Processing.

Classification Information Retrieval +8

SUKHAN: Corpus of Hindi Shayaris annotated with Sentiment Polarity Information

no code implementations ICON 2020 Salil Aggarwal, Abhigyan Ghosh, Radhika Mamidi

To the best of our knowledge, this is the first corpus of Hindi shayaris annotated with sentiment polarity information.

Sentiment Analysis

Samajh-Boojh: A Reading Comprehension system in Hindi

no code implementations ICON 2019 Shalaka Vaidya, Hiranmai Sri Adibhatla, Radhika Mamidi

To the best of our knowledge, the proposed design is first of its kind which accounts for entire process of comprehending the passage and then answering the questions associated with the passage.

Reading Comprehension

Leveraging Multilingual Resources for Language Invariant Sentiment Analysis

no code implementations EAMT 2020 Allen Antony, Arghya Bhattacharya, Jaipal Goud, Radhika Mamidi

Sentiment analysis is a widely researched NLP problem with state-of-the-art solutions capable of attaining human-like accuracies for various languages.

Sentiment Analysis text-classification +1

OFFLangOne@DravidianLangTech-EACL2021: Transformers with the Class Balanced Loss for Offensive Language Identification in Dravidian Code-Mixed text.

no code implementations EACL (DravidianLangTech) 2021 Suman Dowlagar, Radhika Mamidi

In a multilingual society, where code-mixing is a norm, the hate content would be delivered in a code-mixed form in social media, which makes the offensive content identification, further challenging.

Language Identification Transliteration

Autobots@LT-EDI-EACL2021: One World, One Family: Hope Speech Detection with BERT Transformer Model

no code implementations EACL (LTEDI) 2021 Sunil Gundapu, Radhika Mamidi

The rapid rise of online social networks like YouTube, Facebook, Twitter allows people to express their views more widely online.

Hope Speech Detection

TeluguNER: Leveraging Multi-Domain Named Entity Recognition with Deep Transformers

no code implementations ACL 2022 Suma Reddy Duggenpudi, Subba Reddy Oota, Mounika Marreddy, Radhika Mamidi

Our contributions in this paper include (i) Two annotated NER datasets for the Telugu language in multiple domains: Newswire Dataset (ND) and Medical Dataset (MD), and we combined ND and MD to form Combined Dataset (CD) (ii) Comparison of the finetuned Telugu pretrained transformer models (BERT-Te, RoBERTa-Te, and ELECTRA-Te) with other baseline models (CRF, LSTM-CRF, and BiLSTM-CRF) (iii) Further investigation of the performance of Telugu pretrained transformer models against the multilingual models mBERT, XLM-R, and IndicBERT.

named-entity-recognition NER +1

Towards Detecting Political Bias in Hindi News Articles

no code implementations ACL 2022 Samyak Agrawal, Kshitij Gupta, Devansh Gautam, Radhika Mamidi

Political propaganda in recent times has been amplified by media news portals through biased reporting, creating untruthful narratives on serious issues causing misinformed public opinions with interests of siding and helping a particular political party.

Bias Detection Transfer Learning

Sammaan@LT-EDI-ACL2022: Ensembled Transformers Against Homophobia and Transphobia

no code implementations LTEDI (ACL) 2022 Ishan Sanjeev Upadhyay, KV Aditya Srivatsa, Radhika Mamidi

Hateful and offensive content on social media platforms can have negative effects on users and can make online communities more hostile towards certain people and hamper equality, diversity and inclusion.

Towards Toxic Positivity Detection

no code implementations NAACL (SocialNLP) 2022 Ishan Sanjeev Upadhyay, KV Aditya Srivatsa, Radhika Mamidi

Over the past few years, there has been a growing concern around toxic positivity on social media which is a phenomenon where positivity is used to minimize one’s emotional experience.

Classification text-classification +1

TEASER: Towards Efficient Aspect-based SEntiment Analysis and Recognition

no code implementations RANLP 2021 Vaibhav Bajaj, Kartikey Pant, Ishan Upadhyay, Srinath Nair, Radhika Mamidi

Prior works formulate this as a sequence tagging problem or solve this task using a span-based extract-then-classify framework where first all the opinion targets are extracted from the sentence, and then with the help of span representations, the targets are classified as positive, negative, or neutral.

Aspect-Based Sentiment Analysis

cViL: Cross-Lingual Training of Vision-Language Models using Knowledge Distillation

1 code implementation7 Jun 2022 Kshitij Gupta, Devansh Gautam, Radhika Mamidi

We propose a pipeline that utilizes English-only vision-language models to train a monolingual model for a target language.

Knowledge Distillation Question Answering +1

Detection of Propaganda Techniques in Visuo-Lingual Metaphor in Memes

no code implementations3 May 2022 Sunil Gundapu, Radhika Mamidi

The exponential rise of social media networks has allowed the production, distribution, and consumption of data at a phenomenal rate.

Multimodal Deep Learning

Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language

1 code implementation2 May 2022 Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada, Venkata Charan Chinni, Radhika Mamidi

Graph Convolutional Networks (GCN) have achieved state-of-art results on single text classification tasks like sentiment analysis, emotion detection, etc.

Graph Reconstruction Sarcasm Detection +5

On the Importance of Karaka Framework in Multi-modal Grounding

no code implementations9 Apr 2022 Sai Kiran Gorthi, Radhika Mamidi

Computational Paninian Grammar model helps in decoding a natural language expression as a series of modifier-modified relations and therefore facilitates in identifying dependency relations closer to language (context) semantics compared to the usual Stanford dependency relations.

Vision-Language Navigation

Multichannel LSTM-CNN for Telugu Technical Domain Identification

no code implementations24 Feb 2021 Sunil Gundapu, Radhika Mamidi

With the instantaneous growth of text information, retrieving domain-oriented information from the text data has a broad range of applications in Information Retrieval and Natural language Processing.

Information Retrieval Machine Translation +5

Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization Axes

no code implementations EACL (WASSA) 2021 Anvesh Rao Vijjini, Kaveri Anuranjana, Radhika Mamidi

Our axes of analysis include Task difficulty on CL, comparing CL pacing techniques, and qualitative analysis by visualizing the movement of attention scores in the model as curriculum phases progress.

Sentiment Analysis

CMSAOne@Dravidian-CodeMix-FIRE2020: A Meta Embedding and Transformer model for Code-Mixed Sentiment Analysis on Social Media Text

1 code implementation22 Jan 2021 Suman Dowlagar, Radhika Mamidi

We used the proposed method for the Task: "Sentiment Analysis for Dravidian Languages in Code-Mixed Text", and it achieved an F1 score of $0. 58$ and $0. 66$ for the given Dravidian code mixed data sets.

Sentiment Analysis

HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection

1 code implementation22 Jan 2021 Suman Dowlagar, Radhika Mamidi

Hateful and Toxic content has become a significant concern in today's world due to an exponential rise in social media.

Hate Speech Detection Transfer Learning

Transformer based Automatic COVID-19 Fake News Detection System

2 code implementations1 Jan 2021 Sunil Gundapu, Radhika Mamidi

For our analysis in this paper, we report a methodology to analyze the reliability of information shared on social media pertaining to the COVID-19 pandemic.

Fake News Detection Misinformation

gundapusunil at SemEval-2020 Task 8: Multimodal Memotion Analysis

no code implementations SEMEVAL 2020 Sunil Gundapu, Radhika Mamidi

Recent technological advancements in the Internet and Social media usage have resulted in the evolution of faster and efficient platforms of communication.

Sentiment Analysis

Word Level Language Identification in English Telugu Code Mixed Data

no code implementations PACLIC 2018 Sunil Gundapu, Radhika Mamidi

In a multilingual or sociolingual configuration Intra-sentential Code Switching (ICS) or Code Mixing (CM) is frequently observed nowadays.

Language Identification Machine Translation +2

Detecting Sarcasm in Conversation Context Using Transformer-Based Models

no code implementations WS 2020 Adithya Avvaru, Sanath Vobilisetty, Radhika Mamidi

Sarcasm detection, regarded as one of the sub-problems of sentiment analysis, is a very typical task because the introduction of sarcastic words can flip the sentiment of the sentence itself.

Sarcasm Detection Sentiment Analysis

Enhancing Bias Detection in Political News Using Pragmatic Presupposition

no code implementations WS 2020 Lalitha Kameswari, Dama Sravani, Radhika Mamidi

Usage of presuppositions in social media and news discourse can be a powerful way to influence the readers as they usually tend to not examine the truth value of the hidden or indirectly expressed information.

Bias Detection

A SentiWordNet Strategy for Curriculum Learning in Sentiment Analysis

1 code implementation10 May 2020 Vijjini Anvesh Rao, Kaveri Anuranjana, Radhika Mamidi

In this paper, we apply the ideas of curriculum learning, driven by SentiWordNet in a sentiment analysis setting.

Sentiment Analysis

Annotated Corpus for Sentiment Analysis in Odia Language

no code implementations LREC 2020 Gaurav Mohanty, Pruthwik Mishra, Radhika Mamidi

Given the lack of an annotated corpus of non-traditional Odia literature which serves as the standard when it comes sentiment analysis, we have created an annotated corpus of Odia sentences and made it publicly available to promote research in the field.

Sentiment Analysis

Manovaad: A Novel Approach to Event Oriented Corpus Creation Capturing Subjectivity and Focus

no code implementations LREC 2020 Lalitha Kameswari, Radhika Mamidi

In today{'}s era of globalisation, the increased outreach for every event across the world has been leading to conflicting opinions, arguments and disagreements, often reflected in print media and online social platforms.

Opinion Mining Sentiment Analysis

Towards Detection of Subjective Bias using Contextualized Word Embeddings

1 code implementation16 Feb 2020 Tanvi Dadu, Kartikey Pant, Radhika Mamidi

Subjective bias detection is critical for applications like propaganda detection, content recommendation, sentiment analysis, and bias neutralization.

Bias Detection Propaganda detection +2

Conversational implicatures in English dialogue: Annotated dataset

no code implementations25 Nov 2019 Elizabeth Jasmi George, Radhika Mamidi

But in human-computer interactions, the machine fails to understand the implicated meaning unless it is trained with a dataset containing the implicated meaning of an utterance along with the utterance and the context in which it is uttered.

Implicatures

Anaphora Resolution in Dialogue Systems for South Asian Languages

no code implementations22 Nov 2019 Vinay Annam, Nikhil Koditala, Radhika Mamidi

Anaphora resolution is a challenging task which has been the interest of NLP researchers for a long time.

Word Embeddings

Towards Computing Inferences from English News Headlines

no code implementations18 Oct 2019 Elizabeth Jasmi George, Radhika Mamidi

Newspapers are a popular form of written discourse, read by many people, thanks to the novelty of the information provided by the news content in it.

SmokEng: Towards Fine-grained Classification of Tobacco-related Social Media Text

1 code implementation WS 2019 Kartikey Pant, Venkata Himakar Yanamandra, Alok Debnath, Radhika Mamidi

Contemporary datasets on tobacco consumption focus on one of two topics, either public health mentions and disease surveillance, or sentiment analysis on topical tobacco products and services.

Classification General Classification +4

Hindi Question Generation Using Dependency Structures

no code implementations20 Jun 2019 Kaveri Anuranjana, Vijjini Anvesh Rao, Radhika Mamidi

We present a rule-based system for question generation in Hindi by formalizing question transformation methods based on karaka-dependency theory.

Question Answering Question Generation +1

Deep Learning Techniques for Humor Detection in Hindi-English Code-Mixed Tweets

no code implementations WS 2019 Sushmitha Reddy Sane, Suraj Tripathi, Koushik Reddy Sane, Radhika Mamidi

We propose bilingual word embeddings based on word2vec and fastText models (CBOW and Skip-gram) to address the problem of Humor detection in Hindi-English code-mixed tweets in combination with deep learning architectures.

Humor Detection Word Embeddings

Affect in Tweets Using Experts Model

no code implementations PACLIC 2018 Subba Reddy Oota, Adithya Avvaru, Mounika Marreddy, Radhika Mamidi

We compared the results of our Experts Model with both baseline results and top five performers of SemEval-2018 Task-1, Affect in Tweets (AIT).

Sentiment Analysis

BCSAT : A Benchmark Corpus for Sentiment Analysis in Telugu Using Word-level Annotations

no code implementations ACL 2018 Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi

The presented work aims at generating a systematically annotated corpus that can support the enhancement of sentiment analysis tasks in Telugu using word-level sentiment annotations.

Sentiment Analysis

Towards Automation of Sense-type Identification of Verbs in OntoSenseNet(Telugu)

no code implementations4 Jul 2018 Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi

In this paper, we discuss the enrichment of a manually developed resource of Telugu lexicon, OntoSenseNet.

Exploring Chunk Based Templates for Generating a subset of English Text

no code implementations ACL 2018 Nikhilesh Bhatnagar, Manish Shrivastava, Radhika Mamidi

Natural Language Generation (NLG) is a research task which addresses the automatic generation of natural language text representative of an input non-linguistic collection of knowledge.

Text Generation

Automatic Target Recovery for Hindi-English Code Mixed Puns

no code implementations11 Jun 2018 Srishti Aggarwal, Kritik Mathur, Radhika Mamidi

In particular, we consider code-mixed puns which have become increasingly mainstream on social media, in informal conversations and advertisements and aim to build a system which can automatically identify the pun location and recover the target of such puns.

Addition of Code Mixed Features to Enhance the Sentiment Prediction of Song Lyrics

no code implementations11 Jun 2018 Gangula Rama Rohit Reddy, Radhika Mamidi

The song lyric is a rich source of datasets containing words that are helpful in analysis and classification of sentiments generated from it.

Language Identification Opinion Mining +1

"How to rate a video game?" - A prediction system for video games based on multimodal information

no code implementations29 May 2018 Vishal Batchu, Varshit Battu, Murali Krishna Reddy, Radhika Mamidi

A straightforward approach would be to predict the scores of video games based on other information related to the game.

Recommendation Systems

Context and Humor: Understanding Amul advertisements of India

no code implementations15 Apr 2018 Radhika Mamidi

Contextual knowledge is the most important element in understanding language.

General Knowledge

Building a SentiWordNet for Odia

no code implementations WS 2017 Gaurav Mohanty, Abishek Kannan, Radhika Mamidi

One solution is to use available resources in English and translate the final source lexicon to target lexicon via machine translation.

Machine Translation Sentiment Analysis +2

ACTSA: Annotated Corpus for Telugu Sentiment Analysis

no code implementations WS 2017 S Mukku, eep Sricharan, Radhika Mamidi

The corpus, named ACTSA (Annotated Corpus for Telugu Sentiment Analysis) has a collection of Telugu sentences taken from different sources which were then pre-processed and manually annotated by native Telugu speakers using our annotation guidelines.

Sentiment Analysis

Experiments in Linear Template Combination using Genetic Algorithms

no code implementations24 May 2016 Nikhilesh Bhatnagar, Radhika Mamidi

We posit the construction of a sentence as a highly restricted sequence of such templates.

Text Generation

Shallow Parsing Pipeline for Hindi-English Code-Mixed Social Media Text

no code implementations11 Apr 2016 Arnav Sharma, Sakshi Gupta, Raveesh Motlani, Piyush Bansal, Manish Srivastava, Radhika Mamidi, Dipti M. Sharma

In this study, the problem of shallow parsing of Hindi-English code-mixed social media text (CSMT) has been addressed.

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