BERT-QPP: contextualized pre-trained transformers for query performance prediction

N Arabzadeh, M Khodabakhsh, E Bagheri - Proceedings of the 30th …, 2021 - dl.acm.org
Query Performance Prediction (QPP) is focused on estimating the difficulty of satisfying a
user query for a certain retrieval method. While most state of the art QPP methods are based …

Unsupervised question clarity prediction through retrieved item coherency

N Arabzadeh, M Seifikar, CLA Clarke - Proceedings of the 31st ACM …, 2022 - dl.acm.org
Despite recent progress on conversational systems, they still do not perform smoothly when
faced with ambiguous requests. When questions are unclear, conversational systems …

Neural embedding-based specificity metrics for pre-retrieval query performance prediction

N Arabzadeh, F Zarrinkalam, J Jovanovic… - Information Processing …, 2020 - Elsevier
In information retrieval, the task of query performance prediction (QPP) is concerned with
determining in advance the performance of a given query within the context of a retrieval …

Query Performance Prediction: From Fundamentals to Advanced Techniques

N Arabzadeh, C Meng, M Aliannejadi… - European Conference on …, 2024 - Springer
Query performance prediction (QPP) is a core task in information retrieval (IR) that aims at
predicting the retrieval quality for a given query without relevance judgments. QPP has been …

Neural embedding-based metrics for pre-retrieval query performance prediction

N Arabzadeh, F Zarrinkalam, J Jovanovic… - Advances in Information …, 2020 - Springer
Abstract Query Performance Prediction (QPP) is concerned with estimating the effectiveness
of a query within the context of a retrieval model. It allows for operations such as query …

Context-Aware Query Term Difficulty Estimation for Performance Prediction

A Saleminezhad, N Arabzadeh, S Beheshti… - … on Information Retrieval, 2024 - Springer
Research has already found that many retrieval methods are sensitive to the choice and
order of terms that appear in a query, which can significantly impact retrieval effectiveness …

Preme: Preference-based meeting exploration through an interactive questionnaire

N Arabzadeh, A Ahmadvand, J Kiseleva, Y Liu… - arXiv preprint arXiv …, 2022 - arxiv.org
The recent increase in the volume of online meetings necessitates automated tools for
managing and organizing the material, especially when an attendee has missed the …

Supporting complex information-seeking tasks with implicit constraints

A Ahmadvand, N Arabzadeh, J Kiseleva… - arXiv preprint arXiv …, 2022 - arxiv.org
Current interactive systems with natural language interface lack an ability to understand a
complex information-seeking request which expresses several implicit constraints at once …

Estimating Query Performance Through Rich Contextualized Query Representations

S Ebrahimi, M Khodabakhsh, N Arabzadeh… - … on Information Retrieval, 2024 - Springer
The state-of-the-art query performance prediction methods rely on the fine-tuning of
contextual language models to estimate retrieval effectiveness on a per-query basis. Our …

BertPE: A BERT-Based Pre-retrieval Estimator for Query Performance Prediction

M Khodabakhsh, F Zarrinkalam… - European Conference on …, 2024 - Springer
Abstract Query Performance Prediction (QPP) aims to estimate the effectiveness of a query
in addressing the underlying information need without any relevance judgments. More …