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• W2296754815 abstract "In this paper, we describe an approach for tweet contextualization developed in the context of the INEX 2012. The task was to provide a context up to 500 words to a tweet from the Wikipedia. As a baseline system, we used TF-IDF cosine similarity measure enriched by smoothing from local context, named entity recognition and part-of-speech weighting presented at INEX 2011. We modified this method by adding bigram similarity, anaphora resolu- tion, hashtag processing and sentence reordering. Sentence ordering task was modeled as a sequential ordering problem, where vertices corresponded to sen- tences and sequential constraints were represented by sentence time stamps." @default.
• W2296754815 created "2016-06-24" @default.
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• W2296754815 date "2012-01-01" @default.
• W2296754815 modified "2023-09-26" @default.
• W2296754815 title "IRIT at INEX 2012: Tweet Contextualization" @default.
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