INEX Tweet Contextualization task: Evaluation, results and lesson learned
نویسندگان
چکیده
منابع مشابه
INEX Tweet Contextualization task: Evaluation, results and lesson learned
Microblogging platforms such as Twitter are increasingly used for on-line client and market analysis. This motivated the proposal of a new track at CLEF INEX lab of Tweet Contextualization. The objective of this task was to help a user to understand a tweet by providing him with a short explanatory summary (500 words). This summary should be built automatically using resources like Wikipedia an...
متن کاملIRIT at INEX 2012: Tweet Contextualization
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...
متن کاملIRIT at INEX 2013: Tweet Contextualization Track
The paper presents IRIT’s approach used at INEX Tweet Contextualization Track 2013. Systems had to provide a context to a tweet. This year we further modified our approach presented at INEX 2011 and 2012 underlain by the product of scores based on hashtag processing, TF-IDF cosine similarity measure enriched by smoothing from local context and document beginning, named entity recognition and pa...
متن کاملOverview of INEX Tweet Contextualization 2013 Track
Twitter is increasingly used for on-line client and audience fishing, this motivated the tweet contextualization task at INEX. The objective is to help a user to understand a tweet by providing him with a short summary (500 words). This summary should be built automatically using local resources like the Wikipedia and generated by extracting relevant passages and aggregating them into a coheren...
متن کاملThe 2012 INEX Snippet and Tweet Contextualization Tasks
This paper reports on our current experiments involving the Snippet and Tweet Contextualization Tracks of the 2012 INEX competition. Most of this work in snippet generation extends our earlier (2011) approach, described in [4], which produced a top-ranked result. The source of the snippet in these experiments is the top-ranked focused element(s) of the document in question. Another approach is ...
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ژورنال
عنوان ژورنال: Information Processing & Management
سال: 2016
ISSN: 0306-4573
DOI: 10.1016/j.ipm.2016.03.002