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
12 papers · 2 filters
Hybrid MemNet for Extractive Summarization
Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma
Extractive text summarization has been an extensive research problem in the field of natural language understanding. While the conventional approaches rely mostly on manually compi…
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization
Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma
Automated multi-document extractive text summarization is a widely studied research problem in the field of natural language understanding. Such extractive mechanisms compute in so…
Anaphora Resolution in Dialogue Systems for South Asian Languages
Vinay Annam, Nikhil Koditala, Radhika Mamidi
Anaphora resolution is a challenging task which has been the interest of NLP researchers for a long time. Traditional resolution techniques like eliminative constraints and weighte…
Multi-label Categorization of Accounts of Sexism using a Neural Framework
Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya +4
Sexism, an injustice that subjects women and girls to enormous suffering, manifests in blatant as well as subtle ways. In the wake of growing documentation of experiences of sexism…
Transition-Based Deep Input Linearization
Ratish Puduppully, Yue Zhang, Manish Shrivastava
Traditional methods for deep NLG adopt pipeline approaches comprising stages such as constructing syntactic input, predicting function words, linearizing the syntactic input and ge…
SmokEng: Towards Fine-grained Classification of Tobacco-related Social Media Text
Kartikey Pant, Venkata Himakar Yanamandra, Alok Debnath +1
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 a…
Is change the only constant? Profile change perspective on #LokSabhaElections2019
Kumari Neha, Shashank Srikanth, Sonali Singhal +3
Users on Twitter are identified with the help of their profile attributes that consists of username, display name, profile image, to name a few. The profile attributes that users a…
Learning document embeddings along with their uncertainties
Santosh Kesiraju, Oldřich Plchot, Lukáš Burget +1
Majority of the text modelling techniques yield only point-estimates of document embeddings and lack in capturing the uncertainty of the estimates. These uncertainties give a notio…
Hindi Question Generation Using Dependency Structures
Kaveri Anuranjana, Vijjini Anvesh Rao, Radhika Mamidi
Hindi question answering systems suffer from a lack of data. To address the same, this paper presents an approach towards automatic question generation. We present a rule-based sys…
Microsoft AI Challenge India 2018: Learning to Rank Passages for Web Question Answering with Deep Attention Networks
Chaitanya Sai Alaparthi
This paper describes our system for The Microsoft AI Challenge India 2018: Ranking Passages for Web Question Answering. The system uses the biLSTM network with co-attention mechani…
CVIT-MT Systems for WAT-2018
Jerin Philip, Vinay P. Namboodiri, C. V. Jawahar
This document describes the machine translation system used in the submissions of IIIT-Hyderabad CVIT-MT for the WAT-2018 English-Hindi translation task. Performance is evaluated o…
Leveraging Newswire Treebanks for Parsing Conversational Data with Argument Scrambling
Riyaz Ahmad Bhat, Irshad Ahmad Bhat, Dipti Misra Sharma
We investigate the problem of parsing conversational data of morphologically-rich languages such as Hindi where argument scrambling occurs frequently. We evaluate a state-of-the-ar…