Výsledky vyhledávání - "Sparse Retrieval"

Neural Lexical Search with Learned Sparse Retrieval

Autoři: Andrew Yates Carlos Lassance Cosimo Rulli a další

Zdroj: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. :4122-4125

Témata: Learned Sparse Retrieval, First-stage Retrieval, Neural IR

Popis souboru: application/pdf

Přístupová URL adresa: https://dl.acm.org/doi/10.1145/3726302.3731693
https://hdl.handle.net/20.500.14243/549782
https://doi.org/10.1145/3726302.3731693

Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval

Autoři: Arthur Satouf Gabriel Ben-Zenou Benjamin Piwowarski a další

Přispěvatelé: Arthur Satouf Gabriel Ben-Zenou Benjamin Piwowarski a další

Zdroj: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. :2674-2678

Témata: FOS: Computer and information sciences, H.3, Rational Speech Acts, Computer Science - Computation and Language, 68P20, 68T50, [SHS.LANGUE] Humanities and Social Sciences/Linguistics, Neural Information Retrieval, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Computer Science - Information Retrieval, Sparse Retrieval, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], Pragmatic Reasoning, Linguistic Pragmatics for Retrieval, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], Computation and Language (cs.CL), Information Retrieval (cs.IR)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2505.03676
https://hal.science/hal-05074220v1
https://hal.science/hal-05074220v1/document
https://doi.org/10.1145/3726302.3730239

Effective Inference-Free Retrieval for Learned Sparse Representations

Autoři: Franco Maria Nardini Thong Nguyen Cosimo Rulli a další

Zdroj: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. :2936-2940

Témata: FOS: Computer and information sciences, Information Retrieval (cs.IR), Learned Sparse Retrieval, Inference-Free, Efficiency, Computer Science - Information Retrieval

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2505.01452
https://dl.acm.org/doi/abs/10.1145/3726302.3730185
https://doi.org/10.1145/3726302.3730185
https://hdl.handle.net/20.500.14243/549723

Faster Learned Sparse Retrieval with Block-Max Pruning

Autoři: Antonio Mallia Torsten Suel Nicola Tonellotto

Zdroj: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. :2411-2415

Témata: FOS: Computer and information sciences, efficiency, learned sparse retrieval, pruning, Information Retrieval (cs.IR), Computer Science - Information Retrieval

Přístupová URL adresa: http://arxiv.org/abs/2405.01117

Faster Learned Sparse Retrieval with Guided Traversal

Autoři: Mallia A. MacKenzie J. Suel T. a další

Zdroj: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. :1901-1905

Témata: FOS: Computer and information sciences, inverted index, learned sparse retrieval, query processing, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Information Retrieval (cs.IR), Computer Science - Information Retrieval

Přístupová URL adresa: http://arxiv.org/abs/2204.11314
https://hdl.handle.net/11568/1163072
https://doi.org/10.1145/3477495.3531774

Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE

Autoři: Carlos Lassance Hervé Dejean Stéphane Clinchant a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783031560590

Témata: FOS: Computer and information sciences, Information Retrieval (cs.IR), learned sparse retrieval, query processing, static pruning, Computer Science - Information Retrieval, 3. Good health

Přístupová URL adresa: http://arxiv.org/abs/2404.13357

Evaluating Retrieval Strategies for Domain-Specific RAG Systems through Automated Metrics and Human-Centered User Study

Autoři: Kayamkulam Abdulkhader, Nihal

Témata: Retrieval-Augmented Generation (RAG), Sparse Retrieval (BM25), Dense Retrieval (SBERT, FAISS), Hybrid Retrieval (Reciprocal Rank Fusion), Large Language Models (LLaMA-2-7B, Mistral-7B), Evaluation Metrics (Hit@K, MRR, nDCG, ROUGE-L, BERTScore, Cosine Similarity), Human Evaluation, Doc2Dial, Enterprise Help-Desk, Conversational AI, Computer Sciences, Datavetenskap (datalogi)

Popis souboru: application/pdf

Dostupnost: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-25873

Compressive Sensing as applied to Electromagnetics - challenges, solutions, and future trends

Autoři: Massa, Andrea Oliveri, Giacomo Anselmi, Nicola a další

Přispěvatelé: Massa, Andrea Oliveri, Giacomo Anselmi, Nicola a další

Zdroj: 2016 10th European Conference on Antennas and Propagation (EuCAP). :1-4

Témata: 2. Zero hunger, compressive sensing, sparse arrays, inverse scattering, direction-of-arrival estimation, sparse retrieval, radar imaging, array diagnosis, [SPI.ELEC] Engineering Sciences [physics]/Electromagnetism, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-01774032v1
https://doi.org/10.1109/eucap.2016.7481145
https://ieeexplore.ieee.org/document/7481145/
https://hal.archives-ouvertes.fr/hal-01774032
http://ieeexplore.ieee.org/document/7481145/
https://hdl.handle.net/11572/146077
https://doi.org/10.1109/EuCAP.2016.7481145

Effective and Efficient Search Across Languages

Autoři: Nair, Suraj Oard, Douglas W. Digital Repository at the University of Maryland a další

Přispěvatelé: Nair, Suraj Oard, Douglas W. Digital Repository at the University of Maryland a další

Témata: Sparse Retrieval, Cross-Language Information Retrieval (CLIR), Multilingual Language Models, Dense Retrieval, Computer science, Effectiveness vs Efficiency Tradeoff, Neural CLIR

Popis souboru: application/pdf

Information Retrieval with Entity Linking

Autoři: Shehata, Dahlia

Témata: Document Expansion, Entity Linking, Entities, Early Stage Retrieval, Sparse Retrieval, Dense Retrieval, Query Expansion

Relation: http://hdl.handle.net/10012/18557

Dostupnost: http://hdl.handle.net/10012/18557