Helia Hashemi

Hello! I'm Helia Hashemi, a Ph.D. student working with W. Bruce Croft in the Center for Intelligent Information Retrieval (CIIR) at the University of Massachusetts Amherst. In a broad sense, my research interests lie in the areas of Information Retrieval (IR), Natural Language Processing, and Machine Learning. So far, I have worked on multiple IR tasks, such as non-factoid question answering and performance prediction. More recently, my research is focused on conversational information seeking systems. Essentially, I aim at helping people find the information they need through the most natural way of communication.

Email: hhashemi@cs.umass.edu

News

  • [Mar, 2020]     I will do a summer research internship at Spotify Research, under supervision of Ben Carterette!
  • [Oct, 2019]     Our paper, Performance Prediction for Non-Factoid Question Answering, won the Best Short Paper Honorable Mention Award at ICTIR 2019!
  • [Oct, 2019]     Check out the CICS news on our dataset, ANTIQUE!
  • [Jul, 2019]     TensorFlow-Ranking package used our dataset, ANTIQUE! Find the tf-records here .
  • [Feb, 2018]     I joined CIIR to work with W. Bruce Croft!

Publications

Neural Representation Learning for Clarification in Conversational Search.
H. Hashemi, H. Zamani, and W. B. Croft.
SIGIR 2020

ANTIQUE: A Non-Factoid Question Answering Benchmark.
H. Hashemi, M. Aliannejadi, H. Zamani, and W. B. Croft.
ECIR 2020

UMass at the TREC 2019 Conversational Assistance Track.
H. Hashemi and W. B. Croft.
TREC 2019

Performance Prediction for Non-Factoid Question Answering.
H. Hashemi, H. Zamani, and W. B. Croft.
ICTIR 2019, Best Short Paper Honorable Mention Award.

Academic Services

  1. Program Committee Member for ECIR 2020.
  2. Reviewer for ECIR 2019.

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