Building a treebank of noisy user-generated content: The French Social Media Bank

We introduce the French Social Media Bank, the first user-generated content treebank for French. Its first release contains 1,700 sentences from various Web 2.0 and social media sources (FACEBOOK, TWITTER, web forums), including data specifically chosen for their high noisiness.

Keywords

Social Media Treebanking User Generated Content Parsing Social Media.

Domains

Document and Text Processing

Djamé Seddah : Connect in order to contact the contributor

https://inria.hal.science/hal-00780898

Submitted on : Friday, January 25, 2013-1:48:14 AM

Last modification on : Friday, January 21, 2022-3:21:39 AM

Dates and versions

hal-00780898 , version 1 (25-01-2013)

Identifiers

HAL Id : hal-00780898 , version 1

Cite

Djamé Seddah, Benoît Sagot, Marie Candito, Virginie Mouilleron, Vanessa Combet. Building a treebank of noisy user-generated content: The French Social Media Bank. TLT 11 - The 11th International Workshop on Treebanks and Linguistic Theories, Nov 2012, Lisbonne, Portugal. ⟨hal-00780898⟩

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