117
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ECIR
2016
Springer
10 years 2 days ago
2016
Springer
The availability of data spanning different epochs has inspired a new analysis of cultural, social, and linguistic phenomena from a temporal perspective. This paper describes the...
130
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ECIR
2016
Springer
10 years 2 days ago
2016
Springer
Abstract. In the last decade, a number of nonsense automatically-generated scientific papers have been published, most of them were produced using probabilistic context free gramm...
103
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ECIR
2016
Springer
10 years 2 days ago
2016
Springer
Computer Science has affected almost all fields of human knowledge, contributing to scientific advances in many branches of Natural and Social Sciences. Journalism is one of th...
ECIR
2016
Springer
10 years 2 days ago
2016
Springer
When newsworthy events occur, information quickly spreads across the Web, along official news outlets as well as across social media platforms. Information diffusion models can h...
197
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ECIR
2016
Springer
10 years 2 days ago
2016
Springer
Abstract. Retrieving finer grained text units such as passages or sentences as answers for non-factoid Web queries is becoming increasingly important for applications such as mobi...
ECIR
2016
Springer
10 years 2 days ago
2016
Springer
Abstract. Although relevance is known to be a multidimensional concept, information retrieval measures mainly consider one dimension of relevance: topicality. In this paper we prop...
105
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ECIR
2016
Springer
10 years 2 days ago
2016
Springer
Online learning to rank methods aim to optimize ranking models based on user interactions. The dueling bandit gradient descent (DBGD) algorithm is able to effectively optimize line...
106
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ECIR
2016
Springer
10 years 2 days ago
2016
Springer
Consumer reviews provide a wealth of information about products and services that, if properly identified and extracted, could be of immense value to businesses. While classifica...
130
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ECIR
2016
Springer
10 years 2 days ago
2016
Springer
Abstract. We present a dataset for learning to rank in the medical domain, consisting of thousands of full-text queries that are linked to thousands of research articles. The queri...
111
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ECIR
2016
Springer
2016
Springer
Cross-Lingual Trends Detection for Named Entities in News Texts with Dynamic Neural Embedding Models
10 years 2 days ago
This paper presents an approach to detect real-world events as manifested in news texts. We use vector space models, particularly neural embeddings (prediction-based distributiona...