activity
20102016
most citedA New Approach to Keyphrase Extraction Using Neural Networks

45 citations · 69 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2016

JU_KS_Group@FIRE 2016: Consumer Health Information Search

Kamal Sarkar, Debanjan Das, Indra Banerjee +2

In this paper, we describe the methodology used and the results obtained by us for completing the tasks given under the shared task on Consumer Health Information Search (CHIS) col…

cs.CL20162 cited

KS_JU@DPIL-FIRE2016:Detecting Paraphrases in Indian Languages Using Multinomial Logistic Regression Model

Kamal Sarkar

In this work, we describe a system that detects paraphrases in Indian Languages as part of our participation in the shared Task on detecting paraphrases in Indian Languages (DPIL)…

cs.CL20163 cited

A CRF Based POS Tagger for Code-mixed Indian Social Media Text

Kamal Sarkar

In this work, we describe a conditional random fields (CRF) based system for Part-Of- Speech (POS) tagging of code-mixed Indian social media text as part of our participation in th…

cs.CL201419 cited

An HMM Based Named Entity Recognition System for Indian Languages: The JU System at ICON 2013

Vivekananda Gayen, Kamal Sarkar

This paper reports about our work in the ICON 2013 NLP TOOLS CONTEST on Named Entity Recognition. We submitted runs for Bengali, English, Hindi, Marathi, Punjabi, Tamil and Telugu.…

cs.IR201045 cited

A New Approach to Keyphrase Extraction Using Neural Networks

Kamal Sarkar, Mita Nasipuri, Suranjan Ghose

Keyphrases provide a simple way of describing a document, giving the reader some clues about its contents. Keyphrases can be useful in a various applications such as retrieval engi…