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, and a Bloomberg Ph.D. Fellow. 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, performance prediction, and podcast search. More recently, my research is focused on conversational information seeking and neural representation learning for IR. Essentially, I aim at helping people find the information they need through the most natural way of communication.
Email: hhashemi@cs.umass.edu
Learning Multiple Intent Representations for Search Queries.
H. Hashemi, H. Zamani, and W. B. Croft.
CIKM 2021
Passage Similarity and Diversification in Non-factoid Question Answering.
L. Vikraman, A. Montazeralghaem, H. Hashemi, W. B. Croft, and J. Allan.
ICTIR 2021
Neural Instant Search for Music and Podcast.
H. Hashemi, A. Pappu, M. Tian, P. Chandar, M. Lalmas, and B. Carterette.
KDD 2021
Current Challenges and Future Directions in Podcast Information Access.
R. Jones, H. Zamani, M. Schedl, C. Chen, S. Reddy, A. Clifton, J. Karlgren, H. Hashemi, A. Pappu, Z. Nazari, L. Yang, O. Semerci, H. Bouchard, and B. Carterette.
SIGIR 2021
Guided Transformer: Leveraging Multiple External Sources for Representation Learning 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