◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Parth Mehta

4 papers hereh-index 10414 citations31 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.IR3
  • cs.CL1
same name
  • Parth Mehta — 2 papers, h 2
  • Parth Mehta — 1 paper
  • Parth Mehta — 1 paper, h 4

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 citedAttention based Sentence Extraction from Scientific Articles using Pseudo-Labeled data

6 citations · 14 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2021★ 6 cited

LawSum: A weakly supervised approach for Indian Legal Document Summarization

Vedant Parikh, Vidit Mathur, Parth Mehta +2

Unlike the courts in western countries, public records of Indian judiciary are completely unstructured and noisy. No large scale publicly available annotated datasets of Indian leg…

cs.IR2018★ 2 cited

Exploiting local and global performance of candidate systems for aggregation of summarization techniques

Parth Mehta, Prasenjit Majumder

With an ever growing number of extractive summarization techniques being proposed, there is less clarity then ever about how good each system is compared to the rest. Several studi…

cs.IR2018★ 6 cited

Attention based Sentence Extraction from Scientific Articles using Pseudo-Labeled data

Parth Mehta, Gaurav Arora, Prasenjit Majumder

In this work, we present a weakly supervised sentence extraction technique for identifying important sentences in scientific papers that are worthy of inclusion in the abstract. We…

cs.IR2018

Content based Weighted Consensus Summarization

Parth Mehta, Prasenjit Majumder

Multi-document summarization has received a great deal of attention in the past couple of decades. Several approaches have been proposed, many of which perform equally well and it…

◍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.