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    2. A System for Adaptive Information Extraction from Highly Informal Text

      We present a first version of ado, a system for Adaptive Data Organization, that is, information extraction from highly informal text: short text messages, classified ads, tweets, etc. It is built on a modular architecture that integrates in a transparent way off-the-shelf NLP tools, general procedures on strings and machine learning and processes tailored to a domain. The system is called adaptive because it implements a semi-supervised approach. Knowledge resources ...
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      Mentions: Argentina Cordoba NLP
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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD