One of the defining challenges in patent prior-art search is the problem of representing a long, technical document as a query. Previously work on this problem has concentrated on single query representations of the p...
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One of the defining challenges in patent prior-art search is the problem of representing a long, technical document as a query. Previously work on this problem has concentrated on single query representations of the patent application. In the following paper, we describe an approach which uses multiple query representations generated from semantically coherent passages extracted from patent documents. We validate our technique in an experiment using the CLEF-IP 2011 patent search collection. Our system achieves statistically significant improvements over various state-of-art query generation techniques.
One of the defining challenges in patent prior-art search is the problem of representing a long, technical document as a query. Previously work on this problem has concentrated on single query representations of the p...
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One of the defining challenges in patent prior-art search is the problem of representing a long, technical document as a query. Previously work on this problem has concentrated on single query representations of the patent application. In the following paper, we describe an approach which uses multiple query representations generated from semantically coherent passages extracted from patent documents. We validate our technique in an experiment using the CLEF-IP 2011 patent search collection. Our system achieves statistically significant improvements over various state-of-art query generation techniques.
Graduation Project is a significant step for undergraduate students to practice their knowledge learned in universities. Due to many reasons, e.g., there are no tools to support total quality control process for the e...
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To overcome the disadvantages of the traditional locking mechanism for Distributed Database Systems (DDBS), such as the low transaction concurrency and the high communication costs, this paper studies the traditional ...
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Trustworthiness plays an important role in service activities. However, it is not easy to define and compute the service trustworthiness as the evidence involves several information from different service party and ma...
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With the explosive growth of data, how to apply these data with time characteristics to recommendation is particularly important. In order to do that, an attention-based time-aware neural collaborative filtering appro...
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Web service discovery is an important problem in service-oriented computing with the increasing number of Web services. Clustering or classifying Web services according to their functionalities has been proved to be a...
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Spiking neural P systems are a new class of bio-inspired computing devices incorporating the ideas of spiking neural networks into P systems. Homogeneous spiking neural P systems are a variant of spiking neural P syst...
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With the rapid development of Service-Oriented Architecture that enables rapid composition and integration of large-scale distributed systems, the number of web accessible services and their compositions is increasing...
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In this paper we propose a new kind of geometry driven subdivision scheme for curve interpolation. We use cubic Lagrange interpolatory polynomial to construct a new point, selecting parameters by accumulated chord len...
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