22 skills found
fengranMark / ConvGQRConvGQR: Generative Query Reformulation for Conversational Search. A codebase for ACL 2023 accepted paper.
ls3-lab / QueryGymA lightweight, reproducible toolkit for LLM-based query reformulation.
masud-technope / BLIZZARD Replication Package ESEC FSE2018Improving IR-Based Bug Localization with Context-Aware Query Reformulation
grill-lab / CODECCODEC is a document and entity ranking dataset that focuses on complex essay-style topics.
ielab / SearchrefinerSystematic Review Query Visualisation and Understanding Interface
kbcao / SequerCode and plugin for paper "Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow“
masud-technope / NLP2API Replication PackageNLP2API: Query Reformulation for Code Search using Crowdsourced Knowledge and Extra-Large Data Analytics.
fani-lab / RePairExtensible and Configurable Toolkit for Query Refinement Gold Standard Generation Using Transformers
masud-technope / RACK Replication PackageReplication package of RACK : Automated Query Reformulation for Code Search using Crowdsourced Knowledge
xuanyuan14 / Web Search Field Study ToolkitA Convenient Field Study Toolkit (for our WWW21 paper Towards a Better Understanding of Query Reformulation Behavior in Web Search)
xuanyuan14 / Reformulation Aware MetricsOur CIKM21 Paper "Incorporating Query Reformulating Behavior into Web Search Evaluation"
Zendelo / IRQPPThe result of the work in this repo was published in the SIGIR 2019 paper: Information Needs, Queries, and Query Performance Prediction
Narabzad / Msmarco Query ReformulationNo description available
PraveenSH / RL Query ReformulationSequence2sequence model to reformulate a search query using reinforcement learning
masud-technope / BLADER ICSE2019 Replication PackageImproving IR-Based Bug Localization with Effective Reformulation of Query using Crowdsourced Data Analytics
YifanLiu2 / ROEGEN RecSys 24 EQRThis repository accompanies the paper titled "Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation".
zycdev / LoLAuthors' implementation of the SIGIR 2022 paper LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback.
masud-technope / BLIZZARDImproving IR-Based Bug Localization with Context-Aware Query Reformulation
manirupa / Phrase2vecGLMA neural phrasal embedding-based generalized language model for semantic tagging for complex query reformulation
masud-technope / EMSE 2019 Replication PackageThe replication package for EMSE 2019 submission
