65 citations · 582 across the 89 of their papers we have counts for
8 papers · 2 filters
Detecting Reliable Novel Word Senses: A Network-Centric Approach
Abhik Jana, Animesh Mukherjee, Pawan Goyal
In this era of Big Data, due to expeditious exchange of information on the web, words are being used to denote newer meanings, causing linguistic shift. With the recent availabilit…
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit
Amrith Krishna, Bishal Santra, Sasi Prasanth Bandaru +4
The configurational information in sentences of a free word order language such as Sanskrit is of limited use. Thus, the context of the entire sentence will be desirable even for b…
Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit
Amrith Krishna, Bodhisattwa Prasad Majumder, Rajesh Shreedhar Bhat +1
We propose a post-OCR text correction approach for digitising texts in Romanised Sanskrit. Owing to the lack of resources our approach uses OCR models trained for other languages w…
WikiRef: Wikilinks as a route to recommending appropriate references for scientific Wikipedia pages
Abhik Jana, Pranjal Kanojiya, Pawan Goyal +1
The exponential increase in the usage of Wikipedia as a key source of scientific knowledge among the researchers is making it absolutely necessary to metamorphose this knowledge re…
Can Network Embedding of Distributional Thesaurus be Combined with Word Vectors for Better Representation?
Abhik Jana, Pawan Goyal
Distributed representations of words learned from text have proved to be successful in various natural language processing tasks in recent times. While some methods represent words…
Building a Word Segmenter for Sanskrit Overnight
Vikas Reddy, Amrith Krishna, Vishnu Dutt Sharma +3
There is an abundance of digitised texts available in Sanskrit. However, the word segmentation task in such texts are challenging due to the issue of 'Sandhi'. In Sandhi, words in…
Network Features Based Co-hyponymy Detection
Abhik Jana, Pawan Goyal
Distinguishing lexical relations has been a long term pursuit in natural language processing (NLP) domain. Recently, in order to detect lexical relations like hypernymy, meronymy,…
Adapting predominant and novel sense discovery algorithms for identifying corpus-specific sense differences
Binny Mathew, Suman Kalyan Maity, Pratip Sarkar +2
Word senses are not static and may have temporal, spatial or corpus-specific scopes. Identifying such scopes might benefit the existing WSD systems largely. In this paper, while st…