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M. Rahman

4 papers hereh-index 568 citations9 works total

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

author position
  • first author4

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

fields
  • cs.CL3
  • cs.IR1
same name
  • M. Rahman — 21 papers
  • M. Rahman — 4 papers
  • M. Rahman — 3 papers, h 9
  • M. Rahman — 3 papers
  • M. Rahman — 3 papers
  • M. Rahman — 2 papers, h 11

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

activity
20172019
most citedQuery Expansion for Cross-Language Question Re-Ranking

4 citations · 6 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CL2019★ 2 cited

Unfolding the Structure of a Document using Deep Learning

Muhammad Mahbubur Rahman, Tim Finin

Understanding and extracting of information from large documents, such as business opportunities, academic articles, medical documents and technical reports, poses challenges not p…

cs.IR2019★ 4 cited

Query Expansion for Cross-Language Question Re-Ranking

Muhammad Mahbubur Rahman, Sorami Hisamoto, Kevin Duh

Community question-answering (CQA) platforms have become very popular forums for asking and answering questions daily. While these forums are rich repositories of community knowled…

cs.CL2018

Understanding and representing the semantics of large structured documents

Muhammad Mahbubur Rahman, Tim Finin

Understanding large, structured documents like scholarly articles, requests for proposals or business reports is a complex and difficult task. It involves discovering a document's…

cs.CL2017

Understanding the Logical and Semantic Structure of Large Documents

Muhammad Mahbubur Rahman, Tim Finin

Current language understanding approaches focus on small documents, such as newswire articles, blog posts, product reviews and discussion forum entries. Understanding and extractin…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.