Helia Hashemi

Orcid: 0000-0001-7258-7849

According to our database1, Helia Hashemi authored at least 10 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Dense Retrieval Adaptation using Target Domain Description.
Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023

2022
Stochastic Optimization of Text Set Generation for Learning Multiple Query Intent Representations.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Current Challenges and Future Directions in Podcast Information Access.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Neural Instant Search for Music and Podcast.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Passage Similarity and Diversification in Non-factoid Question Answering.
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

Learning Multiple Intent Representations for Search Queries.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

ANTIQUE: A Non-factoid Question Answering Benchmark.
Proceedings of the Advances in Information Retrieval, 2020

2019
UMass at TREC 2019 Conversational Assistance Track.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

Performance Prediction for Non-Factoid Question Answering.
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019


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