2 citations · 2 across the 3 of their papers we have counts for
4 papers
PLOD: An Abbreviation Detection Dataset for Scientific Documents
Leonardo Zilio, Hadeel Saadany, Prashant Sharma +2
The detection and extraction of abbreviations from unstructured texts can help to improve the performance of Natural Language Processing tasks, such as machine translation and info…
An Ensemble Approach to Acronym Extraction using Transformers
Prashant Sharma, Hadeel Saadany, Leonardo Zilio +2
Acronyms are abbreviated units of a phrase constructed by using initial components of the phrase in a text. Automatic extraction of acronyms from a text can help various Natural La…
Cognition-aware Cognate Detection
Diptesh Kanojia, Prashant Sharma, Sayali Ghodekar +3
Automatic detection of cognates helps downstream NLP tasks of Machine Translation, Cross-lingual Information Retrieval, Computational Phylogenetics and Cross-lingual Named Entity R…
Structuring an unordered text document
Shashank Yadav, Tejas Shimpi, C. Ravindranath Chowdary +3
Segmenting an unordered text document into different sections is a very useful task in many text processing applications like multiple document summarization, question answering, e…