Code Monkey home page Code Monkey logo

tv-afd_imperative_corpus's Introduction

TV-AfD: An Imperative-Annotated Corpus from The Big Bang Theory and Wikipedia’s Articles for Deletion Discussions

This is a corpus with imperative and non-imperative sentences from the TV show The Big Bang Theory and Wikipedia Articles for Deletion. We used rule-based classification and manual annotation to classify imperative sentences.

Data from The Big Bang Theory

We include both raw data and classified data in this repository. Each file in the raw data is from one episode with each line representing one dialogue from that specific episode. In the tab-separated classification data file, each line represents one dialogue. The columns respectively are: data source (in the formant of nxmm with 'n' indicating the season of the show and 'mm' representing the episode), text, imperative classification (1 for imperative and 0 for non-imperative), imperative category, and whether the imperative sentence has affixal negative markers or not.

Data from Wikipedia's Articles for Deletion Discussions

We only include classified data for sentences from this source. The file is tab seperated with two columns of text and classification (1 for imperative and 0 for non-imperative) respectively. Each line represent one instance of data.

Citation

When using this dataset for any academic work or publication, please cite the following paper:

Yimin Xiao, Zong-Ying Slaton, and Lu Xiao. 2020. TV-AfD: An Imperative-Annotated Corpus from The Big Bang Theory and Wikipedia’s Articles for Deletion Discussions. In Proceedings of The 12th Language Resources and Evaluation Conference, European Language Resources Association, Marseille, France, 6544–6550. Retrieved from https://www.aclweb.org/anthology/2020.lrec-1.805

tv-afd_imperative_corpus's People

Contributors

yiminxsisu avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.