Tweebank V2

material ID: tweebankv2

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Parsing Tweets into Universal Dependencies

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractWe study the problem of analyzing tweets with universal dependencies (UD). We extend the UD guidelines to cover special constructions in tweets that affect tokenization, part-of-speech tagging, and labeled dependencies. …...

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Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractSocial media data such as Twitter messages (“tweets”) pose a particular challenge to NLP systems because of their short, noisy, and colloquial nature. Tasks such as Named Entity Recognition (NER) …...

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