query expansion - Robuta Search

https://aclanthology.org/2020.findings-emnlp.424/ BERT-QE: Contextualized Query Expansion for Document Re-ranking - ACL Anthology Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020. query expansion bert qe https://aclanthology.org/H05-1121/ Query Expansion with the Minimum User Feedback by Transductive Learning - ACL Anthology Masayuki Okabe, Kyoji Umemura, Seiji Yamada. Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language... query expansion with the user feedback https://aclanthology.org/P10-2022/ Event-Based Hyperspace Analogue to Language for Query Expansion - ACL Anthology Tingxu Yan, Tamsin Maxwell, Dawei Song, Yuexian Hou, Peng Zhang. Proceedings of the ACL 2010 Conference Short Papers. 2010. event based to language query expansion hyperspace analogue https://research.google/pubs/statistical-machine-translation-for-query-expansion-in-answer-retrieval/ Statistical Machine Translation for Query Expansion in Answer Retrieval machine translation query expansion statistical answer retrieval https://www.semanticscholar.org/topic/Query-expansion/66222 Query expansion | Semantic Scholar Query expansion (QE) is the process of reformulating a seed query to improve retrieval performance in information retrieval operations.In the context of search... query expansion semantic scholar https://en.wikipedia.org/wiki/Query_expansion Query expansion - Wikipedia query expansion wikipedia https://arxiv.org/abs/2410.13765v2 [2410.13765v2] Knowledge-Aware Query Expansion with Large Language Models for Textual and... Abstract page for arXiv paper 2410.13765v2: Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval large language models https://www.slideserve.com/christophe-alden/georg-buscher-andreas-dengel-ludger-van-elst-german-research-center-for-ai-dfki-powerpoint-ppt-presentation PPT - Gaze-Based Implicit Feedback for Enhanced Document Query Expansion PowerPoint Presentation -... This study explores the use of eye gaze data for providing implicit feedback on a subdocument level, improving query expansion techniques. Traditional... implicit feedback