https://github.com/sebastian-hofstaetter/neural-ranking-drmm

Implementation and Evaluation of "A Deep Relevance Matching Model for Ad-hoc Retrieval"
https://github.com/sebastian-hofstaetter/neural-ranking-drmm

Last synced: 2 days ago
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Implementation and Evaluation of "A Deep Relevance Matching Model for Ad-hoc Retrieval"

• Host: GitHub
• URL: https://github.com/sebastian-hofstaetter/neural-ranking-drmm
• Owner: sebastian-hofstaetter
• License: apache-2.0
• Created: 2017-09-19T08:41:46.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2018-02-28T14:49:38.000Z (over 6 years ago)
• Last Synced: 2024-08-02T13:26:49.458Z (3 months ago)
• Language: Python
• Homepage:
• Size: 13 MB
• Stars: 37
• Watchers: 3
• Forks: 8
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
## Hello,

this repository contains an implementation of the DRMM model.

**Original paper**: A Deep Relevance Matching Model for Ad-hoc Retrieval (Guo et al.) [https://dl.acm.org/citation.cfm?id=2983769](https://dl.acm.org/citation.cfm?id=2983769)

Some code is taken from [MatchZoo](https://github.com/faneshion/MatchZoo) (referenced in the respective files).

## Table of Contents

- **Preprocessing**: Contains all preprocessing code (starting from raw TREC data) to create all input files for the neural ranking model (this includes generating the histogram, idf informations). See the [peprocessing Readme](preprocessing/README.md) for more.

- **Neural Ranking**: Contains the neural ranking model

- **Results**: Contains a description of experiments & their raw and trec_eval evaluated results.

## Dependencies

- TREC 8 corpus data (not preprocessed: fbis,fr94,ft,latimes)

- Python 3: Latest Keras and Tensorflow