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nlp:information_retrieval [2023/01/30 22:56] jmflanignlp:information_retrieval [2025/07/07 06:00] (current) jmflanig
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 ===== Conversational Search ===== ===== Conversational Search =====
-  * [[https://dl.acm.org/doi/10.1145/3534965|Keyvan et al 2023 - How to Approach Ambiguous Queries in Conversational Search: A Survey of Techniques, Approaches, Tools, and Challenges]]+See [[nlp:Dialog#Conversational Search]].
  
 ===== Retrieval Methods used in NLP ===== ===== Retrieval Methods used in NLP =====
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   * BM25   * BM25
     * [[https://dl.acm.org/doi/pdf/10.1145/2682862.2682863|Trotman et al 2014 - Improvements to BM25 and Language Models Examined]] [[https://github.com/dorianbrown/rank_bm25|Github implementation]] of various variations     * [[https://dl.acm.org/doi/pdf/10.1145/2682862.2682863|Trotman et al 2014 - Improvements to BM25 and Language Models Examined]] [[https://github.com/dorianbrown/rank_bm25|Github implementation]] of various variations
 +  * Generating Titles
 +    * [[https://arxiv.org/pdf/2204.05511.pdf|Chen et al 2023 - GERE: Generative Evidence Retrieval for Fact Verification]]
 +
 +===== Dense Document Retrieval with LLMs ====
 +  * **Overviews**
 +    * [[https://arxiv.org/pdf/2211.14876.pdf|Zhao et al 2023 - Dense Text Retrieval based on Pretrained
 +Language Models: A Survey]]
 +  * [[https://dl.acm.org/doi/pdf/10.1145/3511808.3557527|Ma et al 2023 - A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval]]
 +
 +===== Generative IR =====
 +  * **Overviews**
 +    * [[https://arxiv.org/pdf/2404.14851|Li et al 2024 - From Matching to Generation: A Survey on Generative Information Retrieval]]
  
 ===== Datasets ===== ===== Datasets =====
nlp/information_retrieval.1675119404.txt.gz · Last modified: 2023/06/15 07:36 (external edit)

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