Multi-lingual and Cross-lingual timeline extraction
نویسندگان
چکیده
منابع مشابه
Multilingual and Cross-lingual Timeline Extraction
In this paper we present an approach to extract ordered timelines of events, their participants, locations and times from a set of multilingual and crosslingual data sources. Based on the assumption that event-related information can be recovered from different documents written in different languages, we extend the Cross-document Event Ordering task presented at SemEval 2015 by specifying two ...
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Probabilistic latent topic models have recently enjoyed much success in extracting and analyzing latent topics in text in an unsupervised way. One common deficiency of existing topic models, though, is that they would not work well for extracting cross-lingual latent topics simply because words in different languages generally do not co-occur with each other. In this paper, we propose a way to ...
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Information Extraction(IE) is a burgeoning technique because of the explosion of internet. So far, most of the IE systems are focusing on English text; and most of them are in the supervised learning framework, which requires large amount of human labor; and most of them can only work in narrow domain, which is domain dependent. These systems are difficult to be ported to other languages, other...
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We propose a method for the task of identifying and disambiguation of named entities in a scenario where the language of the input text differs from the language of the knowledge base. We demonstrate this functionality on English and Slovene named entity disambiguation
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Statistical Parametric Speech Synthesis (SPSS) offers flexibility and computational advantage compared to other methods for Text-to-Speech Synthesis. While the speech output is intelligible, statistically trained voices are less natural due to the amount of signal processing and statistical averaging that goes into building the models. Much of the blame for the lack of naturalness falls on the ...
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ژورنال
عنوان ژورنال: Knowledge-Based Systems
سال: 2017
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2017.07.002