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IRIT at TREC Microblog 2011
"... Abstract. ThispaperdescribestheparticipationoftheIRITlab,universityofToulouse, France, to the Microblog Track of TREC 2011. Two different approaches were experimented by our team, which are described in the two main parts of the paper. 1 ..."
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Abstract. ThispaperdescribestheparticipationoftheIRITlab,universityofToulouse, France, to the Microblog Track of TREC 2011. Two different approaches were experimented by our team, which are described in the two main parts of the paper. 1
Quality models for microblog retrieval
- In Proceedings of CIKM
, 2012
"... Microblog services typically contain very short documents (e.g., tweets) containing comments about the latest news and events. Many of these documents are not informative or have very little content due to their personal and ephemeral nature. Providing effective retrieval in a microblog service will ..."
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Cited by 7 (1 self)
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correlation with manual judgments. Also, we perform experiments to study the impact of the quality model on microblog retrieval. The results based on the TREC Microblog track show that the proposed quality model, combined with a variety of retrieval models, can improve retrieval performance and is competitive
Earthquake Shakes Twitter Users: Real-time Event Detection by Social Sensors
- In Proceedings of the Nineteenth International WWW Conference (WWW2010). ACM
, 2010
"... Twitter, a popular microblogging service, has received much attention recently. An important characteristic of Twitter is its real-time nature. For example, when an earthquake occurs, people make many Twitter posts (tweets) related to the earthquake, which enables detection of earthquake occurrence ..."
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Cited by 484 (3 self)
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promptly, simply by observing the tweets. As described in this paper, we investigate the real-time interaction of events such as earthquakes, in Twitter, and propose an algorithm to monitor tweets and to detect a target event. To detect a target event, we devise a classifier of tweets based on features
Multi-Query Diversification in Microblogging Posts
"... Effectively exploring data generated by microblogging services is challenging due to its high volume and production rate. To ad-dress this issue, we propose a solution that helps users effectively consume information from a microblogging stream, by filtering out redundant data. We formalize our appr ..."
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Cited by 1 (0 self)
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Effectively exploring data generated by microblogging services is challenging due to its high volume and production rate. To ad-dress this issue, we propose a solution that helps users effectively consume information from a microblogging stream, by filtering out redundant data. We formalize our
Incorporating Temporal Information in Microblog Retrieval
- in Proceedings of the Twenty-First Text REtrieval Conference (TREC
, 2012
"... Microblog retrieval is the task of retrieving relevant tweets in response a query. This paper presents our methods and re-sults for the Real-time Ad-hoc Task in the TREC Microblog Track 2012. Our experiments focused on different ways of using temporal information to improve retrieval. Our four runs ..."
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Cited by 1 (0 self)
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Microblog retrieval is the task of retrieving relevant tweets in response a query. This paper presents our methods and re-sults for the Real-time Ad-hoc Task in the TREC Microblog Track 2012. Our experiments focused on different ways of using temporal information to improve retrieval. Our four runs
Generating Event Storylines from Microblogs
"... Microblogging service has emerged to be a dominant web medium for billions of individuals sharing and spreading instant news and information, therefore monitoring the event evolution on microblog sphere is crucial for providing both better user experience and deeper understanding on realtime events. ..."
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Cited by 5 (1 self)
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. In this paper we explore the problem of generating storylines from microblogs for user input queries. This problem is challenging due to the sparse, dynamic and social nature of microblogs. Given a query of an ongoing event, we propose to sketch the real-time storyline of the event by a two-level solution. We
Machine Translation in Microblogs
, 2013
"... This work is supported by the Fundação de Ciência e Tecnologia through the Carnegie Mellon|Portugal ..."
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This work is supported by the Fundação de Ciência e Tecnologia through the Carnegie Mellon|Portugal
Ranking Model Selection and Fusion for Effective Microblog Search
"... Re-ranking was shown to have positive impact on the effectiveness for microblog search. Yet existing approaches mostly focused on using a single ranker to learn some better ranking function with re-spect to various relevance features. Given various available rank learners (such as learning to rank a ..."
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Cited by 1 (1 self)
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algorithms), in this work, we mainly study an orthogonal problem where multiple learned rank-ing models form an ensemble for re-ranking the retrieved tweets than just using a single ranking model in order to achieve higher search effectiveness. We explore the use of query-sensitive model selection and rank
Pseudo Test Collections for Training and Tuning Microblog Rankers
"... Recent years have witnessed a persistent interest in generating pseudo test collections, both for training and evaluation purposes. We describe a method for generating queries and relevance judgments for microblog search in an unsupervised way. Our starting point is this intuition: tweets with a has ..."
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Cited by 7 (1 self)
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query, allowing us to use temporal information in the training process. We then enrich the generation process with knowledge derived from an editorial test collection for microblog search. We use our pseudo test collections in two ways. First, we tune parameters of a variety of well known retrieval
Expansion of Queries
"... This paper presents an implemented and evaluated methodology for disambiguating terms in search queries and for augmenting queries with expansion terms. By exploiting Wikipedia articles and their reference relations, our method is able to disambiguate terms in particularly short queries with few con ..."
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context words and to effectively expand queries for retrieval of short documents such as tweets. Our strategy can determine when a sequence of words should be treated as a single entity rather than as a sequence of individual entities. This work is part of a larger project to retrieve information graphics
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