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#

passage-retrieval

Here are 15 public repositories matching this topic...

beir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

  • UpdatedFeb 25, 2025
  • Python

SPLADE: sparse neural search (SIGIR21, SIGIR22)

  • UpdatedMay 3, 2024
  • Python

[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Toohttps://arxiv.org/abs/2012.12624

  • UpdatedJun 15, 2022
  • Python

[SIGIR 2022] Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval

  • UpdatedJan 4, 2023
  • Python

Source code of paper 'LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval' (WWW 2023)

  • UpdatedAug 28, 2023
  • Python

Code repository of the NAACL'21 paper "CoRT: Complementary Rankings from Transformers"

  • UpdatedJul 7, 2021
  • Python

Code for our project CROWN (Conversational Passage Ranking by Reasoning over Word Networks)

  • UpdatedJan 11, 2024
  • JavaScript

A machine for answering questions on federal crime sentences

  • UpdatedMar 17, 2017
  • Jupyter Notebook

Collaborated work with davidliyutong for course ICE6407P-260-M01 at SJTU

  • UpdatedApr 15, 2022
  • Python

😷 Attempt on deep learning track challenge in TREC 2019 -https://microsoft.github.io/TREC-2019-Deep-Learning/

  • UpdatedJul 4, 2019
  • Python

The "Questions" project, part of Harvard's CS50 AI course, develops an AI system for answering questions by retrieving documents and passages from a text corpus using tf-idf. It aids in understanding natural language processing (NLP) and information retrieval techniques.

  • UpdatedJul 30, 2024
  • Jupyter Notebook

Qur'an QA 2023 Shared Task! Answering Questions on the Holy Qur'an @ ArabicNLP 2023, co-located with EMNLP 2023

  • UpdatedJan 8, 2024
  • Jupyter Notebook

Augmented Dense-Sparse Retrieval for Longer Korean Passages

  • UpdatedJun 15, 2022
  • Python

🖱️Generating spoilers for the clickbait posts

  • UpdatedJun 3, 2023
  • Jupyter Notebook

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