1 code implementation • LREC 2022 • Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orăsan
This paper presents PLOD, a large-scale dataset for abbreviation detection and extraction that contains 160k+ segments automatically annotated with abbreviations and their long forms.
Ranked #1 on AbbreviationDetection on PLOD-unfiltered
1 code implementation • 9 Jan 2022 • Prashant Sharma, Hadeel Saadany, Leonardo Zilio, Diptesh Kanojia, Constantin Orăsan
Acronyms are abbreviated units of a phrase constructed by using initial components of the phrase in a text.
1 code implementation • EACL 2021 • Diptesh Kanojia, Prashant Sharma, Sayali Ghodekar, Pushpak Bhattacharyya, Gholamreza Haffari, Malhar Kulkarni
We collect gaze behaviour data for a small sample of cognates and show that extracted cognitive features help the task of cognate detection.
no code implementations • 29 Jan 2019 • Shashank Yadav, Tejas Shimpi, C. Ravindranath Chowdary, Prashant Sharma, Deepansh Agrawal, Shivang Agarwal
Segmenting an unordered text document into different sections is a very useful task in many text processing applications like multiple document summarization, question answering, etc.
no code implementations • 10 Mar 2016 • Prashant Sharma, Shaju K. Albert, S. Rajeswari
Filtering removes the unwanted noisy signal components and pattern recognition task segregate error patterns in the time series based upon similarity, which is performed by Self Organized mapping clustering algorithm.