no code implementations • SEMEVAL 2020 • Steve Durairaj Swamy, Shubham Laddha, Basil Abdussalam, Debayan Datta, Anupam Jamatia
The paper describes the systems submitted to SemEval-2020 Task 8: Memotion by the `NIT-Agartala-NLP-Team'.
no code implementations • CONLL 2019 • Steve Durairaj Swamy, Anupam Jamatia, Bj{\"o}rn Gamb{\"a}ck
Work on Abusive Language Detection has tackled a wide range of subtasks and domains.
no code implementations • RANLP 2019 • Vamsi Krishna Pendyala, Simran Sinha, Satya Prakash, Shriya Reddy, Anupam Jamatia
We propose a system which would verify a claim against a source and classify the claim to be true, false, out-of-context or an inappropriate claim with respect to the textual source provided to the system.
no code implementations • SEMEVAL 2019 • Steve Durairaj Swamy, Anupam Jamatia, Bj{\"o}rn Gamb{\"a}ck, Amitava Das
The paper describes the systems submitted to OffensEval (SemEval 2019, Task 6) on {`}Identifying and Categorizing Offensive Language in Social Media{'} by the {`}NIT{\_}Agartala{\_}NLP{\_}Team{'}.
no code implementations • EACL 2017 • Tushar Maheshwari, Aishwarya N. Reganti, Samiksha Gupta, Anupam Jamatia, Upendra Kumar, Bj{\"o}rn Gamb{\"a}ck, Amitava Das
Several experiments were carried out on the corpora to classify the ethical values of users, incorporating Linguistic Inquiry Word Count analysis, n-grams, topic models, psycholinguistic lexica, speech-acts, and non-linguistic information, while applying a range of machine learners (Support Vector Machines, Logistic Regression, and Random Forests) to identify the best linguistic and non-linguistic features for automatic classification of values and ethics.