BERT-QPP: contextualized pre-trained transformers for query performance prediction
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 …
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
Despite recent progress on conversational systems, they still do not perform smoothly when
faced with ambiguous requests. When questions are unclear, conversational systems …
faced with ambiguous requests. When questions are unclear, conversational systems …
Neural embedding-based specificity metrics for pre-retrieval query performance prediction
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 …
determining in advance the performance of a given query within the context of a retrieval …
Query Performance Prediction: From Fundamentals to Advanced Techniques
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 …
predicting the retrieval quality for a given query without relevance judgments. QPP has been …
Neural embedding-based metrics for pre-retrieval query performance prediction
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 …
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
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 …
order of terms that appear in a query, which can significantly impact retrieval effectiveness …
Preme: Preference-based meeting exploration through an interactive questionnaire
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 …
managing and organizing the material, especially when an attendee has missed the …
Supporting complex information-seeking tasks with implicit constraints
Current interactive systems with natural language interface lack an ability to understand a
complex information-seeking request which expresses several implicit constraints at once …
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 …
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 …
in addressing the underlying information need without any relevance judgments. More …