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A Call for More Rigor in Unsupervised Cross-lingual Learning ...
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On the Cross-lingual Transferability of Monolingual Representations ...
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Learning to Compose Words into Sentences with Reinforcement Learning ...
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Learning Word Representations with Hierarchical Sparse Coding ...
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Learning Word Representations with Hierarchical Sparse Coding ...
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Learning Word Representations with Hierarchical Sparse Coding ...
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Predicting a Scientific Community’s Response to an Article ...
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Predicting a Scientific Community’s Response to an Article ...
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Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments
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Gimpel, Kevin; Schneider, Nathan; O'Connor, Brendan; Das, Dipanjan; Mills, Daniel; Eisenstein, Jacob; Heilman, Michael; Yogatama, Dani; Flanigan, Jeffrey; Smith, Noah A.
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In: DTIC (2010)
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Abstract:
We address the problem of part-of-speech tagging for English data from the popular microblogging service Twitter. We develop a tagset, annotate data, develop features, and report tagging results nearing 90% accuracy. The data and tools have been made available to the research community with the goal of enabling richer text analysis of Twitter and related social media data sets. ; The original document contains color images.
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Keyword:
*INTERNET; *MEDIA; *SPEECH ANALYSIS; Computer Programming and Software; ENGLISH LANGUAGE; Linguistics; PE611103A; SOCIAL COMMUNICATION
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA547371 http://www.dtic.mil/docs/citations/ADA547371
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