Manuela Sanguinetti, Cristina Bosco, Alberto Lavelli, Alessandro Mazzei, Oronzo Antonelli, Fabio Tamburini
| Challenge: | Various approaches and ad hoc resources are needed to provide proper coverage of specific linguistic phenomena. |
| Approach: | They propose to annotate tweets using a well-known dependency-based annotation format . they propose to use the tweets for training NLP systems to improve their performance . |
| Outcome: | The proposed resource can be used for training of NLP systems on social media texts. |
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| Challenge: | Modern Irish is a minority language lacking computational resources for accurate automatic syntactic parsing of user-generated content. |
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Manuela Sanguinetti, Cristina Bosco, Lauren Cassidy, Özlem Çetinoğlu, Alessandra Teresa Cignarella, Teresa Lynn, Ines Rehbein, Josef Ruppenhofer, Djamé Seddah, Amir Zeldes
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Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajič, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis Tyers, Daniel Zeman
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| Challenge: | UD is a community project that maintains a standard scheme for the annotation of grammar in a cross-lingually consistent manner. |
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Twitter Universal Dependency Parsing for African-American and Mainstream American English (P18-1)
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| Challenge: | We analyze the performance disparities between AAE and Mainstream American English (MAE) because of Twitter-specific conventions and dialectal language. |
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