7.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Harish-Chandra Research InstituteIN27 papers
- International Institute of Information TechnologyIN23 papers
- Homi Bhabha National InstituteIN20 papers
- Indian Institute of Science Education and Research ThiruvananthapuramIN20 papers
- Indian Institute of Science BangaloreIN15 papers
- Indian Institute of Technology HyderabadIN14 papers
- Institute of Physics, BhubaneshwarIN11 papers
- Birla Institute of Technology and Science, PilaniIN10 papers
- National University of SingaporeSG9 papers
- Indian Institute of Technology KanpurIN8 papers
- Université Libre de BruxellesBE8 papers
- Birla Institute of Technology and Science - Hyderabad CampusIN7 papers
13 papers · 1 filter
Reflect-SQL: A Self-Reflection Based Framework for Text-to-SQL
Anupreksha Jain, Manish Shrivastava
Democratizing data access through natural language is a crucial goal for modern enterprises, but the practical adoption of Text-to-SQL is critically hindered by real-world complexi…
Towards Effective Paraphrasing for Information Disguise
Anmol Agarwal, Shrey Gupta, Vamshi Bonagiri +3
Information Disguise (ID), a part of computational ethics in Natural Language Processing (NLP), is concerned with best practices of textual paraphrasing to prevent the non-consensu…
Transformer-based approach towards music emotion recognition from lyrics
Yudhik Agrawal, Ramaguru Guru Ravi Shanker, Vinoo Alluri
The task of identifying emotions from a given music track has been an active pursuit in the Music Information Retrieval (MIR) community for years. Music emotion recognition has typ…
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements
Noveen Sachdeva, Julian McAuley
We investigate a growing body of work that seeks to improve recommender systems through the use of review text. Generally, these papers argue that since reviews 'explain' users' op…
Affect in Tweets Using Experts Model
Subba Reddy Oota, Adithya Avvaru, Mounika Marreddy +1
Estimating the intensity of emotion has gained significance as modern textual inputs in potential applications like social media, e-retail markets, psychology, advertisements etc.,…
Attentive Neural Architecture Incorporating Song Features For Music Recommendation
Noveen Sachdeva, Kartik Gupta, Vikram Pudi
Recommender Systems are an integral part of music sharing platforms. Often the aim of these systems is to increase the time, the user spends on the platform and hence having a high…
CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection
Shashank Gupta, Raghuveer Thirukovalluru, Manjira Sinha +1
Detecting whether a news article is fake or genuine is a crucial task in today's digital world where it's easy to create and spread a misleading news article. This is especially tr…
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection
Vaibhav Kumar, Mrinal Dhar, Dhruv Khattar +4
In order to expand their reach and increase website ad revenue, media outlets have started using clickbait techniques to lure readers to click on articles on their digital platform…
A Retrospective Analysis of the Fake News Challenge Stance Detection Task
Andreas Hanselowski, Avinesh PVS, Benjamin Schiller +4
The 2017 Fake News Challenge Stage 1 (FNC-1) shared task addressed a stance classification task as a crucial first step towards detecting fake news. To date, there is no in-depth a…
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks
Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola +2
Online media outlets, in a bid to expand their reach and subsequently increase revenue through ad monetisation, have begun adopting clickbait techniques to lure readers to click on…
Deep Feature Fusion Network for Answer Quality Prediction in Community Question Answering
Sai Praneeth Suggu, Kushwanth N. Goutham, Manoj K. Chinnakotla +1
Community Question Answering (cQA) forums have become a popular medium for soliciting direct answers to specific questions of users from experts or other experienced users on a giv…
Diverse Yet Efficient Retrieval using Hash Functions
Vidyadhar Rao, Prateek Jain, C. V Jawahar
Typical retrieval systems have three requirements: a) Accurate retrieval i.e., the method should have high precision, b) Diverse retrieval, i.e., the obtained set of points should…
Towards Deep Semantic Analysis Of Hashtags
Piyush Bansal, Romil Bansal, Vasudeva Varma
Hashtags are semantico-syntactic constructs used across various social networking and microblogging platforms to enable users to start a topic specific discussion or classify a pos…