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W. Bruce Croft

University of Massachusetts, Amherst

45 papers hereh-index 12763k citations722 works total

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

author position
  • middle author15
  • last author30

Across the 45 of 45 papers where every author was matched, so the position is known.

fields
  • cs.IR40
  • cs.CL4
  • cs.DB1
affiliations
  • University of Massachusetts, Amherst
Homepage
same name
  • W. Bruce Croft — 1 paper

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
20032021
most citedA Deep Relevance Matching Model for Ad-hoc Retrieval

855 citations · 1.4k across the 20 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2021

How individuals change language

Richard A Blythe, William Croft

Languages emerge and change over time at the population level though interactions between individual speakers. It is, however, hard to directly observe how a single speaker's lingu…

cs.CL2020

AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization

Keping Bi, Rahul Jha, W. Bruce Croft +1

Redundancy-aware extractive summarization systems score the redundancy of the sentences to be included in a summary either jointly with their salience information or separately as…

cs.CL2019★ 202 cited

Asking Clarifying Questions in Open-Domain Information-Seeking Conversations

Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani +1

Users often fail to formulate their complex information needs in a single query. As a consequence, they may need to scan multiple result pages or reformulate their queries, which m…

cs.CL2018

Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce

Minghui Qiu, Liu Yang, Feng Ji +6

Building multi-turn information-seeking conversation systems is an important and challenging research topic. Although several advanced neural text matching models have been propose…

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