Search Results for author: Will Radford

Found 14 papers, 1 papers with code

How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP

no code implementations7 Apr 2021 Christian Hardmeier, Marta R. Costa-jussà, Kellie Webster, Will Radford, Su Lin Blodgett

At the Workshop on Gender Bias in NLP (GeBNLP), we'd like to encourage authors to give explicit consideration to the wider aspects of bias and its social implications.

Gendered Ambiguous Pronoun (GAP) Shared Task at the Gender Bias in NLP Workshop 2019

no code implementations WS 2019 Kellie Webster, Marta R. Costa-juss{\`a}, Christian Hardmeier, Will Radford

The 1st ACL workshop on Gender Bias in Natural Language Processing included a shared task on gendered ambiguous pronoun (GAP) resolution.

Learning to generate one-sentence biographies from Wikidata

1 code implementation EACL 2017 Andrew Chisholm, Will Radford, Ben Hachey

We investigate the generation of one-sentence Wikipedia biographies from facts derived from Wikidata slot-value pairs.

Post-edit Analysis of Collective Biography Generation

no code implementations20 Feb 2017 Bo Han, Will Radford, Anaïs Cadilhac, Art Harol, Andrew Chisholm, Ben Hachey

Text generation is increasingly common but often requires manual post-editing where high precision is critical to end users.

Text Generation

:telephone::person::sailboat::whale::okhand:; or "Call me Ishmael" - How do you translate emoji?

no code implementations7 Nov 2016 Will Radford, Andrew Chisholm, Ben Hachey, Bo Han

We report on an exploratory analysis of Emoji Dick, a project that leverages crowdsourcing to translate Melville's Moby Dick into emoji.

Part-Of-Speech Tagging Translation +1

Presenting a New Dataset for the Timeline Generation Problem

no code implementations ALTA 2016 Xavier Holt, Will Radford, Ben Hachey

The timeline generation task summarises an entity's biography by selecting stories representing key events from a large pool of relevant documents.

Discriminating between similar languages in Twitter using label propagation

no code implementations19 Jul 2016 Will Radford, Matthias Galle

Identifying the language of social media messages is an important first step in linguistic processing.

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