We present a system to determine content similarity of documents. More specifically, our goal is to identify book chapters that are translations of the same original chapter; this task requires identification of not only the different topics in the documents but also the particular flow of these topics. We experiment with different representations employing n-grams of lexical chains and test th...

Third generation sequencing (TGS) are highly promising technologies but the long and noisy reads from TGS are difficult to align using existing algorithms. Here, we present COSINE, a conceptually new method designed specifically for aligning long reads contaminated by a high level of errors. COSINE computes the context similarity of two stretches of nucleobases given the similarity over distrib...

Abstract—A Hybrid-Similarity technique is proposed for improving the matching accuracy in wafer fail-map pattern detection compared with Cosine-Similarity and Jaccard-Similarity. This is good for gathering the failure data in engineer pre-defined patterns. The adapted low pass filtering and cutting-off technique make the matching calculation simpler and faster than conventional methods. From 5 ...

Document similarity computation is an important research topic in information retrieval, and it a crucial issue for automatic document categorization. The value between 0 1, then the closest to 1 represented both documents considered more relevant, vice versa. However, large scale of textual has created problem finding relevance level documents. Therefore, mesh heading text PubMed higher than a...

Dis) similarity measure is a significant component of vector model. In content based image retrieval the compatibility of (dis)similarity measure and representation technique is very important for effective and efficient image retrieval. In order to find a suitable dis-similarity measure for a particular representation technique experimental comparison is needed. This paper highlights some of t...

This paper looks at the use of recitals in the interpretation of EU legislation, and mechanisms for connecting them to normative provisions. The purposive approach to the interpretation of EU legislation taken by the European Court of Justice makes frequent references to recitals as helping to establish the purpose of normative provisions. Our research uses a cosine similarity based approach to...

The retrieval of images based on their visual similarity to an example image is an important and fascinating area of research. Here, a method to characterize visual appearance for determining global similarity in images is described. Images are filtered with Gaussian derivatives and geometric features are computed from the filtered images. The geometric features used here are curvature and phas...

Automated multi-attribute negotiation can be viewed as the search for a solution that satisfies two conflicting preferences. It is challenging not only because of the large multidimensional search space, but also when preferences of negotiating parties are kept private. Under such condition, negotiating agents must approximate their opponents’ preferences. To this end, we employ cosine similari...

In this report, we describe the approach we use in NTCIR-12 Short Text Conversation task. Because we register this task too late and we only have less than one week to do this task, we design a simple approach that is based on cosine similarity of sentence and some handcrafted rules. The result shows the effectiveness of our method.