DINFRA: A One Stop Shop for Computing Multilingual Semantic Relatedness

May 16, 2018 Β· Declared Dead Β· πŸ› Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

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Authors Siamak Barzegar, Juliano Efson Sales, Andre Freitas, Siegfried Handschuh, Brian Davis arXiv ID 1805.09644 Category cs.IR: Information Retrieval Cross-listed cs.CL Citations 10 Venue Annual International ACM SIGIR Conference on Research and Development in Information Retrieval Last Checked 4 months ago
Abstract
This demonstration presents an infrastructure for computing multilingual semantic relatedness and correlation for twelve natural languages by using three distributional semantic models (DSMs). Our demonsrator - DInfra (Distributional Infrastructure) provides researchers and developers with a highly useful platform for processing large-scale corpora and conducting experiments with distributional semantics. We integrate several multilingual DSMs in our webservice so the end user can obtain a result without worrying about the complexities involved in building DSMs. Our webservice allows the users to have easy access to a wide range of comparisons of DSMs with different parameters. In addition, users can configure and access DSM parameters using an easy to use API.
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