2 citations · 3 across the 2 of their papers we have counts for
4 papers · 1 filter
Building Odia Shallow Parser
Pruthwik Mishra, Dipti Misra Sharma
Shallow parsing is an essential task for many NLP applications like machine translation, summarization, sentiment analysis, aspect identification and many more. Quality annotated c…
Code-Mixed Sentiment Analysis Using Machine Learning and Neural Network Approaches
Pruthwik Mishra, Prathyusha Danda, Pranav Dhakras
Sentiment Analysis for Indian Languages (SAIL)-Code Mixed tools contest aimed at identifying the sentence level sentiment polarity of the code-mixed dataset of Indian languages pai…
Building a Kannada POS Tagger Using Machine Learning and Neural Network Models
Ketan Kumar Todi, Pruthwik Mishra, Dipti Misra Sharma
POS Tagging serves as a preliminary task for many NLP applications. Kannada is a relatively poor Indian language with very limited number of quality NLP tools available for use. An…
Arithmetic Word Problem Solver using Frame Identification
Pruthwik Mishra, Litton J Kurisinkel, Dipti Misra Sharma
Automatic Word problem solving has always posed a great challenge for the NLP community. Usually a word problem is a narrative comprising of a few sentences and a question is asked…