Giter Club home page Giter Club logo

scientific-summarization's Introduction

Scientific-summarization

This repository has code for the reference scope identification task that I was part of, during my time as an intern at NLP Lab, IIT (BHU) in 2017. More details about this task can be found in our paper- [Link will be uploaded soon].

Usage:

  1. First run the file "get_features.py" to extract all the features from the reference-citance pairs, writing them into the file 'features.csv' and 'test_features.csv' along with their corresponding labels.

  2. Run the file "firstapproach.py" to train and test the CNN model on the above extracted features. Also, you can uncomment the last few lines to use the boosting classifiers simultaneously.

  3. Training and test data can be found in respectively named folders

scientific-summarization's People

Contributors

akhisud3195 avatar

Watchers

Akhilesh S avatar

Forkers

ada520

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.