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Found 13 papers, 1 papers with code
Amrita_CEN_NLP@SDP2021 Task A and B
This paper is the submission of the team Amrita_CEN_NLP to the shared task.
Amrita_CEN at SemEval-2022 Task 4: Oversampling-based Machine Learning Approach for Detecting Patronizing and Condescending Language
This paper narrates the work of the team Amrita_CEN for the shared task on Patronizing and Condescending Language Detection at SemEval 2022.
Amrita_CEN at SemEval-2022 Task 6: A Machine Learning Approach for Detecting Intended Sarcasm using Oversampling
This paper describes the submission of the team Amrita_CEN to the shared task on iSarcasm Eval: Intended Sarcasm Detection in English and Arabic at SemEval 2022.
Findings of the Shared Task on Multimodal Sentiment Analysis and Troll Meme Classification in Dravidian Languages
The only team that participated in the Multimodal Sentiment Analysis shared task obtained an F1-score of 0. 24.
Amrita_CEN_NLP @ WOSP 3C Citation Context Classification Task
Identification of the purpose and influence of citation is significant in assessing the impact of a publication.
BERT-Based Sequence Labelling Approach for Dependency Parsing in Tamil
This paper focuses on a novel approach that uses word-to-word dependency tagging using BERT models to improve the malt parser performance.
CEN-Tamil@DravidianLangTech-ACL2022: Abusive Comment detection in Tamil using TF-IDF and Random Kitchen Sink Algorithm
This paper describes the approach of team CEN-Tamil used for abusive comment detection in Tamil.
Amrita_CEN_NLP@DravidianLangTech-EACL2021: Deep Learning-based Offensive Language Identification in Malayalam, Tamil and Kannada
This paper describes the submission of the team Amrita_CEN_NLP to the shared task on Offensive Language Identification in Dravidian Languages at EACL 2021.
DravidianMultiModality: A Dataset for Multi-modal Sentiment Analysis in Tamil and Malayalam
This is the first multimodal sentiment analysis dataset for Tamil and Malayalam by volunteer annotators.
Analysis Of Contextual and Non-Contextual Word Embedding Models For Hindi NER With Web Application For Data Collection
Finally, the best of all these models is used and a web app is built, that takes a Hindi text of any length and returns NER tags for each word and takes feedback from the user about the correctness of tags.
cEnTam: Creation and Validation of a New English-Tamil Bilingual Corpus
Natural Language Processing (NLP), is the field of artificial intelligence that gives the computer the ability to interpret, perceive and extract appropriate information from human languages.
deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets
The goal of the task is to predict a real valued score in the range [0-1] for a particular tweet with an emotion type.
