similarity estimation
Testing APSyn against Vector Cosine on Similarity Estimation
... In the present work, we perform a systematic eval- uation of APSyn, testing it on the most popular test sets for similarity estimation - namely WordSim-353 (Finkelstein et al., 2001), MEN (Bruni et al., ...
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Annual runoff prediction using a nearest-neighbour method based on cosine angle distance for similarity estimation
... In the annual runoff prediction, the angle of the feature vector is very important. So we propose to predict annual runoff using NNM based on CAD for similarity estimation. NNM based on CAD can also be used ...
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Text Similarity Estimation Based on Word Embeddings and Matrix Norms for Targeted Marketing
... novel similarity measure to com- pare word embeddings from different documents, which makes use of matrix ...measure similarity estimation for most of the investigated matrix norm especially for the ...
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A hierarchical method to automatically encode Chinese diagnoses through semantic similarity estimation
... semantic similarity of text based on word- to-word ...semantic similarity be- tween words or terms, some studies utilized the taxo- nomical information derived from existing knowledge resources [27 – 29], ...
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SimLex 999: Evaluating Semantic Models With (Genuine) Similarity Estimation
... Although certain smaller gold standards—those of Rubenstein and Goodenough (1965) (RG) and Agirre et al. (2009) (WS-Sim)—do focus clearly on similarity, these resources suffer from other important limitations. For ...
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Word Usage Similarity Estimation with Sentence Representations and Automatic Substitutes
... since annotators themselves found some lemmas harder to annotate than others, as reflected in the Usim inter-annotator agreement measure (Uiaa) (McCarthy et al., 2016). We find that BERT tar- get word embeddings results ...
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A Sentence Similarity Estimation Method Based on Improved Siamese Network
... To address this problem, Jonas and Aditya [2] generated Siamese neural net- work, a special recurrent neural network using the LSTM, which generates a dense vector that represents the idea of each sentence. By computing ...
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LIMSI MULTISEM at the IJCAI SemDeep 5 WiC Challenge: Context Representations for Word Usage Similarity Estimation
... Our proposed model computes a contextualized representation for each target word instance in a WiC sentence pair using different types of embed- dings. The cosine similarity of the obtained vector representations ...
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A Rank Based Similarity Metric for Word Embeddings
... little similarity about them), as opposed to ‘gen- uine’ semantic similarity ...that similarity estimation alone does not constitute a strong benchmark, as the inter-annotator agree- ment is ...
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COUNTER COrpus of Urdu News TExt Reuse
... twenty-four similarity estimation methods (content, structure, and style based measures) were used to conduct experiments on the corpus to show how such a resource can be useful in the development and ...
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Regionalization with hierarchical hydrologic similarity and ex situ data in the context of groundwater recharge estimation at ungauged watersheds
... various conditions, where the performance of each BART model is defined by the RMSE. This variation indicates the regionalization similarity in the study area. At first glance, the available water content (AWC) ...
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A neural network filtering approach for similarity based remaining useful life estimation
... A similarity-based remaining useful life estimation model identifies the best matching portion of training health indicators for each test health indicator and produces future multistep predictions of ...
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An Improved Item based Collaborative Filtering Recommendation System
... Abstract. Today E-commerce is very popular, recommendation systems are very widely applied to various sites [1]. However, there still remains many problems in current recommendation system to be resolved. Given the data ...
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Confidence-based adaptive frame rate up-conversion
... motion estimation could propagate positive effects to neighboring vectors, with the result that the accuracy of MVs in the neighboring blocks can be ...motion estimation are deter- mined based on the ...
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Abstract: Maximally similar sets (MSS) are sets of elements that share a neighborhood in a
... Abstract: Maximally similar sets (MSS) are sets of elements that share a neighborhood in a high-dimensional space defined by symmetric, reflexive similarity relation. Each element of the universe is employed as ...
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Pseudo Similar Intuitionistic Fuzzy Matrices
... Pseudo similarity and Semi similarity of IFMs are defined ...Pseudo similarity relation on a pair of IFMs is inherited by all its powers and the Pseudo similarity relation preserve regularity ...
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Semantic Textual Similarity in Quality Estimation
... The similarity score is a score between 1 and 5, further described in Ta- ble ...variable similarity, it cuts out the need to search extensively for similar ...crowd-sourced similarity scores act as ...
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Modeling Confidence in Sequence to Sequence Models
... the estimation of its own output. Finally, the estimation of the distance between training and test data mainly helps when using stronger models, both for the generation of the out- put and for confidence ...
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Sentence Similarity Measures for Fine Grained Estimation of Topical Relevance in Learner Essays
... Each word is assigned a separate weight, initially set to 1, which is used for scaling its vector. Next, we construct an unsupervised learning framework for gradually adjusting these weights for all words. The task we ...
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Robust Estimation of Similarity Transformation for Visual Object Tracking
... rotation estimation for the corre- lation filter-based methods has not been fully exploited yet, since it is very easy to drift away from the inaccurate rotation ...
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