Helping Our Own: text massaging for computational linguistics as a new shared task

Robert Dale*, Adam Kilgarriff

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

20 Citations (Scopus)

Abstract

In this paper, we propose a new shared task called HOO: Helping Our Own. The aim is to use tools and techniques developed in computational linguistics to help people writing about computational linguistics. We describe a text-to-text generation scenario that poses challenging research questions, and delivers practical outcomes that are useful in the first case to our own community and potentially much more widely. Two specific factors make us optimistic that this task will generate useful outcomes: one is the availability of the ACL Anthology, a large corpus of the target text type; the other is that CL researchers who are non-native speakers of English will be motivated to use prototype systems, providing informed and precise feedback in large quantity. We lay out our plans in detail and invite comment and critique with the aim of improving the nature of the planned exercise.

Original languageEnglish
Title of host publicationProceedings of the Sixth International Natural Language Generation Conference
Place of PublicationPA
PublisherAssociation for Computational Linguistics (ACL)
Pages261-265
Number of pages5
Publication statusPublished - 2010
Event6th International Natural Language Generation Conference, INLG 2010 - Trim, Co. Meath, Ireland
Duration: 7 Jul 20109 Jul 2010

Other

Other6th International Natural Language Generation Conference, INLG 2010
CountryIreland
CityTrim, Co. Meath
Period7/07/109/07/10

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