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Conference Information

Full Title: AAAI 2013 Spring Symposium on Analyzing Microtext

Location: Stanford, CA, USA
Start Date: 25-Mar-2013 - 27-Mar-2013
Contact: David Uthus
Meeting Email: click here to access email
Meeting URL:
Meeting Description: AAAI 2013 Spring Symposium on Analyzing Microtext

Microtext are short snippets of text found in many modes of communication: microblogs (e.g., Twitter, Plurk), Short Message Streams (SMS), chat (e.g., instant messaging, Internet Relay Chat), and transcribed conversations (e.g., FBI hostage negotiations). Microtext often has the characteristics of informality, brevity, varied grammar, frequent misspellings (both accidental and purposeful), and usage of abbreviations, acronyms, and emoticons. With more conversational forms of microtext such as multiparticipant chat, there are also entangled conversation threads. These characteristics create many difficulties for analyzing and understanding microtext, often causing traditional NLP techniques to fail.

Research on microtext is becoming increasingly necessary given the explosion of online microtext language. Yet, very few suitable tools have been developed for analyzing it. Also, there are few sufficiently-large publicly-available data sets (such as the Twitter corpus). Currently, most NLP tools are designed to deal with grammatical, properly spelled and punctuated language corpora. However, the reality is that a vast portion of online data does not conform to the canons of standard grammar and spelling.

This symposium will provide a multi-day forum to bring together researchers from different communities who have an interest in analyzing microtext: artificial intelligence, machine learning, computational linguistics, information retrieval, linguistics, human-computer interaction, education, and the social sciences. It will provide enough time for the different communities to present their perspectives and methodologies, to learn one another's terminology and techniques, and to begin to form connections that will hopefully lead to fruitful collaborations.
Linguistic Subfield: Computational Linguistics
LL Issue: 23.2989

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