# neural-ranking-drmm

**Repository Path**: greitzmann/neural-ranking-drmm

## Basic Information

- **Project Name**: neural-ranking-drmm
- **Description**: Implementation and Evaluation of "A Deep Relevance Matching Model for Ad-hoc Retrieval"
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-10-31
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## 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