Query Performance Prediction for Conversational Search (QPP4CS)
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Updated
May 22, 2024 - Python
Query Performance Prediction for Conversational Search (QPP4CS)
A Java based implementation for evaluating Query Performance Prediction (QPP).
The result of the work in this repo was published in the SIGIR 2019 paper: Information Needs, Queries, and Query Performance Prediction
Graph Embedding for Query Performance Prediction (PVLDB Paper Code)
Combining Query Performance Predictors
Can Users Predict Relative Query Effectiveness?
QPP for Clarification Need Prediction in context-grounded multi-turn Conversation. Clean implementations of QPP baselines suitable for multi-turn conversational dataset with ranked documents (opt.). Designed to detect ambiguous search queries.
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