◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

K. Dasgupta

4 papers hereh-index 243.4k citations71 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
same name
  • K. Dasgupta — 5 papers, h 27
  • K. Dasgupta — 3 papers, h 16
  • K. Dasgupta — 2 papers, h 20
  • K. Dasgupta — 2 papers, h 5
  • K. Dasgupta — 1 paper, h 2
  • K. Dasgupta — 1 paper, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSequence-Based Extractive Summarisation for Scientific Articles

25 citations · 27 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023

FinRED: A Dataset for Relation Extraction in Financial Domain

Soumya Sharma, Tapas Nayak, Arusarka Bose +4

Relation extraction models trained on a source domain cannot be applied on a different target domain due to the mismatch between relation sets. In the current literature, there is…

cs.CL2022★ 2 cited

ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts

Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee +8

Despite tremendous progress in automatic summarization, state-of-the-art methods are predominantly trained to excel in summarizing short newswire articles, or documents with strong…

cs.CL2022

A Generative Approach for Financial Causality Extraction

Tapas Nayak, Soumya Sharma, Yash Butala +3

Causality represents the foremost relation between events in financial documents such as financial news articles, financial reports. Each financial causality contains a cause span…

cs.CL2022★ 25 cited

Sequence-Based Extractive Summarisation for Scientific Articles

Daniel Kershaw, Rob Koeling

This paper presents the results of research on supervised extractive text summarisation for scientific articles. We show that a simple sequential tagging model based only on the te…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.