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

Autor: Christian Hardmeier, Kellie Webster, Will Radford, Marta R. Costa-jussà

Publikováno v: Webster, K, Costa-jussà, M R, Hardmeier, C & Radford, W 2019, Gendered Ambiguous Pronoun (GAP) Shared Task at the Gender Bias in NLP Workshop 2019 . in Proceedings of the First Workshop on Gender Bias in Natural Language Processing . Florence, Italy, pp. 1-7, 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, 28/07/19 . https://doi.org/10.18653/v1/W19-3801

The 1st ACL workshop on Gender Bias in Natural Language Processing included a shared task on gendered ambiguous pronoun (GAP) resolution. This task was based on the coreference challenge defined in Webster et al. (2018), designed to benchmark the abi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60c905fa688c9c9bb69c5006997916df
https://doi.org/10.18653/v1/w19-3801

Learning to generate one-sentence biographies from Wikidata

Autor: Ben Hachey, Will Radford, Andrew Chisholm

Publikováno v: EACL (1)

We investigate the generation of one-sentence Wikipedia biographies from facts derived from Wikidata slot-value pairs. We train a recurrent neural network sequence-to-sequence model with attention to select facts and generate textual summaries. Our m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::085d3eeeaa81dd5f6d258e5216d1ef70
http://arxiv.org/abs/1702.06235

Classification of mental health forum posts

Autor: Will Radford, Glen Pink, Ben Hachey

Publikováno v: CLPsych@HLT-NAACL

We detail our approach to the CLPsych 2016 triage of mental health forum posts shared task. We experiment with a number of features in a logistic regression classification approach. Our baseline approach with lexical features from a post and previous

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6609c804660435f0870a6910dff3d8ff
https://doi.org/10.18653/v1/w16-0324

'Roles for the boys?' Mining cast lists for gender and role distributions over time

Autor: Will Radford, Matthias Gallé

Publikováno v: WWW (Companion Volume)

Film and television play an important role in popular culture. However studies that require watching and annotating video are time-consuming and expensive to run at scale. We explore information mined from media database cast lists to explore the evo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6924824a66065c4b2419ec64f3954cc
http://arxiv.org/abs/1503.03275

Cheap and easy entity evaluation

Autor: Ben Hachey, Will Radford, Joel Nothman

Publikováno v: ACL (2)

The AIDA-YAGO dataset is a popular target for whole-document entity recognition and disambiguation, despite lacking a shared evaluation tool. We review evaluation regimens in the literature while comparing the output of three approaches, and identify

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::16191979c64c6d4c974422de1d6000ba
https://doi.org/10.3115/v1/p14-2076