65 citations · 582 across the 89 of their papers we have counts for
9 papers · 2 filters
Medical Entity Linking using Triplet Network
Ishani Mondal, Sukannya Purkayastha, Sudeshna Sarkar +4
Entity linking (or Normalization) is an essential task in text mining that maps the entity mentions in the medical text to standard entities in a given Knowledge Base (KB). This ta…
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
Binny Mathew, Punyajoy Saha, Seid Muhie Yimam +3
Hate speech is a challenging issue plaguing the online social media. While better models for hate speech detection are continuously being developed, there is little research on the…
Hierarchical Transformer for Task Oriented Dialog Systems
Bishal Santra, Potnuru Anusha, Pawan Goyal
Generative models for dialog systems have gained much interest because of the recent success of RNN and Transformer based models in tasks like question answering and summarization.…
MatScIE: An automated tool for the generation of databases of methods and parameters used in the computational materials science literature
Souradip Guha, Ankan Mullick, Jatin Agrawal +5
The number of published articles in the field of materials science is growing rapidly every year. This comparatively unstructured data source, which contains a large amount of info…
Aspect-based Sentiment Analysis of Scientific Reviews
Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee
Scientific papers are complex and understanding the usefulness of these papers requires prior knowledge. Peer reviews are comments on a paper provided by designated experts on that…
Using Large Pretrained Language Models for Answering User Queries from Product Specifications
Kalyani Roy, Smit Shah, Nithish Pai +5
While buying a product from the e-commerce websites, customers generally have a plethora of questions. From the perspective of both the e-commerce service provider as well as the c…
Evaluating Neural Morphological Taggers for Sanskrit
Ashim Gupta, Amrith Krishna, Pawan Goyal +1
Neural sequence labelling approaches have achieved state of the art results in morphological tagging. We evaluate the efficacy of four standard sequence labelling models on Sanskri…
Neural Approaches for Data Driven Dependency Parsing in Sanskrit
Amrith Krishna, Ashim Gupta, Deepak Garasangi +3
Data-driven approaches for dependency parsing have been of great interest in Natural Language Processing for the past couple of decades. However, Sanskrit still lacks a robust pure…
Using Distributional Thesaurus Embedding for Co-hyponymy Detection
Abhik Jana, Nikhil Reddy Varimalla, Pawan Goyal
Discriminating lexical relations among distributionally similar words has always been a challenge for natural language processing (NLP) community. In this paper, we investigate whe…