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Parth Mehta

4 papers here

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

author position
  • first author2
  • middle author1

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

fields
  • cs.IR3
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedLawSum: A weakly supervised approach for Indian Legal Document Summarization

6 citations · 6 across the 1 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

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

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…

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