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        <title>From Noisy Questions to Minecraft Texts: Annotation Challenges in Extreme Syntax Scenario</title>
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    <name type="personal">
        <namePart type="given">Héctor</namePart>
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            <namePart type="given">Bo</namePart>
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            <namePart type="given">Tim</namePart>
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    <abstract>User-generated content presents many challenges for its automatic processing. While many of them do come from out-of-vocabulary effects, others spawn from different linguistic phenomena such as unusual syntax. In this work we present a French three-domain data set made up of question headlines from a cooking forum, game chat logs and associated forums from two popular online games (MINECRAFT &amp; LEAGUE OF LEGENDS). We chose these domains because they encompass different degrees of lexical and syntactic compliance with canonical language. We conduct an automatic and manual evaluation of the difficulties of processing these domains for part-of-speech prediction, and introduce a pilot study to determine whether dependency analysis lends itself well to annotate these data. We also discuss the development cost of our data set.</abstract>
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%0 Conference Proceedings
%T From Noisy Questions to Minecraft Texts: Annotation Challenges in Extreme Syntax Scenario
%A Martínez Alonso, Héctor
%A Seddah, Djamé
%A Sagot, Benoît
%Y Han, Bo
%Y Ritter, Alan
%Y Derczynski, Leon
%Y Xu, Wei
%Y Baldwin, Tim
%S Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT)
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F martinez-alonso-etal-2016-noisy
%X User-generated content presents many challenges for its automatic processing. While many of them do come from out-of-vocabulary effects, others spawn from different linguistic phenomena such as unusual syntax. In this work we present a French three-domain data set made up of question headlines from a cooking forum, game chat logs and associated forums from two popular online games (MINECRAFT & LEAGUE OF LEGENDS). We chose these domains because they encompass different degrees of lexical and syntactic compliance with canonical language. We conduct an automatic and manual evaluation of the difficulties of processing these domains for part-of-speech prediction, and introduce a pilot study to determine whether dependency analysis lends itself well to annotate these data. We also discuss the development cost of our data set.
%U https://aclanthology.org/W16-3905
%P 13-23

Markdown (Informal)

[From Noisy Questions to Minecraft Texts: Annotation Challenges in Extreme Syntax Scenario](https://aclanthology.org/W16-3905) (Martínez Alonso et al., WNUT 2016)

• From Noisy Questions to Minecraft Texts: Annotation Challenges in Extreme Syntax Scenario (Martínez Alonso et al., WNUT 2016)

ACL

• Héctor Martínez Alonso, Djamé Seddah, and Benoît Sagot. 2016. From Noisy Questions to Minecraft Texts: Annotation Challenges in Extreme Syntax Scenario. In Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT), pages 13–23, Osaka, Japan. The COLING 2016 Organizing Committee.