Neural IR PaperList

This repository provides a list of selected papers about Document Retrieval

Check this repository for a list of papers related to Semantic Retrieval

Neural Ranking Models For Information Retrieval

Survey paper and books:

• Pretrained transformers for text ranking: Bert and beyond. (Lin J, Nogueira R, Yates A. arXiv preprint arXiv:2010.06467. 2020 Oct 13.)
• Neural Ranking Models for Document Retrieval (Trabelsi, Mohamed, et al. 2021)
• Semantic Models for the First-stage Retrieval: A Comprehensive Review. (Cai Y, Fan Y, Guo J, Sun F, Zhang R, Cheng X.arXiv preprint arXiv:2103.04831. 2021 Mar 8.)
• A Deep Look into Neural Ranking Models for Information Retrieval(Guo, Jiafeng,Guo, Jiafeng, et al.2020)
• [Phd thesis] Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval(Bhaskar Mitra 2020)
• [Book] An introduction to neural information retrieval. Now Foundations and Trends (2018 Dec 1.)
• Neural information retrieval: at the end of the early years(Onal, Kezban Dilek, et al. 2018)
• Neural models for information retrieval. (Mitra B, Craswell N. arXiv preprint arXiv:1705.01509. 2017 May 3.)
• [Tutorial] Neural text embeddings for information retrieval. (Mitra B, Craswell N. InProceedings of the Tenth ACM International Conference on Web Search and Data Mining 2017 Feb 2 (pp. 813-814).)
• [Book]Learning to rank for information retrieval. (Liu,Tie-Yan 2011)
• [Book]Semantic matching in search. Foundations and Trends in Information retrieval.(Li H, Xu J. 2014 Jun 12;7(5):343-469.)

Models

• A table for representative models on Notion

Represetation focused models [Siamese]

• [DSSM]
• [C-DSSM]
• [ARC-I]
• [MV-LSTM]

Interaction focused models [Matching-aggregate]

• [DRMM]
• [K-NRM]
• [HiNT]
• [aNMM]
• [MatchPyramid]
• [DeepRank]
• [BiMPM]]

Hybrid models

• [DUET]

Other resources

Benchmarking dataset for document retrieval task

• [MS MARCO] MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
• [TREC CAR] TREC Complex Answer Retrieval Overview
• [TREC DL] Overview of the TREC 2019 deep learning track

• [TREC COVID] TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection

Todo list

• Add topics: Prop;Longformer;doc2query;ANCE;HDCT;Dense retrival;[COIL];monoBert;DuoBert;[LCE loss]; Word based sparse retrival (The seletion used [MS MARCO] leaderboard as a reference)