Entity Recognition and Language Identification with FELTS
نویسنده
چکیده
This working notes describe the experiments we conducted in the Microblog Cultural Contextualization Lab [2] of CLEF 2017 [3]. The microblog data is composed of very short texts, with very heterogeneous styles. Some of them are written in more than one language. We decided to takle the entity recognition problem by using a non-statistical, dictionary-based, multiword term extractor. On the other hand, our participation in the language identification task is based on word and character uni-gram probabilities.
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