202 citations · 599 across the 25 of their papers we have counts for
23 papers · 1 filter
Zero-Shot and Efficient Clarification Need Prediction in Conversational Search
Lili Lu, Chuan Meng, Federico Ravenda +2
Clarification need prediction (CNP) is a key task in conversational search, aiming to predict whether to ask a clarifying question or give an answer to the current user query. Howe…
Interactions with Generative Information Retrieval Systems
Mohammad Aliannejadi, Jacek Gwizdka, Hamed Zamani
At its core, information access and seeking is an interactive process. In existing search engines, interactions are limited to a few pre-defined actions, such as "requery", "click…
Query Performance Prediction: From Ad-hoc to Conversational Search
Chuan Meng, Negar Arabzadeh, Mohammad Aliannejadi +1
Query performance prediction (QPP) is a core task in information retrieval. The QPP task is to predict the retrieval quality of a search system for a query without relevance judgme…
Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond
Paul Owoicho, Ivan Sekulić, Mohammad Aliannejadi +2
This research aims to explore various methods for assessing user feedback in mixed-initiative conversational search (CS) systems. While CS systems enjoy profuse advancements across…
Understanding User Satisfaction with Task-oriented Dialogue Systems
Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke
Dialogue systems are evaluated depending on their type and purpose. Two categories are often distinguished: (1) task-oriented dialogue systems (TDS), which are typically evaluat…
Towards Building Economic Models of Conversational Search
Leif Azzopardi, Mohammad Aliannejadi, Evangelos Kanoulas
Various conceptual and descriptive models of conversational search have been proposed in the literature -- while useful, they do not provide insights into how interaction between t…