A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches Eneko Agirre† Enrique Alfonseca‡ Keith Hall‡ Jana Kravalova‡§ Marius Pas¸ca‡ Aitor Soroa† † IXA NLP Group, Universit

Source URL: alfonseca.org

MiniExperts: An SVM Approach for Measuring Semantic Textual Similarity Hanna B´echara∗a , Hernani Costa∗b , Shiva Taslimipoora , Rohit Guptaa , Constantin Or˘asana , Gloria Corpas Pastorb and Ruslan Mitkova a RIILP

Source URL: alt.qcri.org

MathLingBudapest: Concept Networks for Semantic Similarity G´abor Recski Research Institute for Linguistics Hungarian Academy of Sciences Bencz´ur uBudapest, Hungary

Source URL: alt.qcri.org

Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising Jun Xu1 , Lei Zhang1,∗ , Wangmeng Zuo2 , David Zhang1 , and Xiangchu Feng3 1 2

Source URL: www.cv-foundation.org

A Sequence-based Tree Similarity Search Alsayed Algergawy and Friederike Klan Heinz Nixdorf Chair for Distributed Information Systems Friedrich Schiller University of Jena, Germany

Source URL: rcis2015.hua.gr

• Binary trees
• Knowledge representation
• Tree
• R-tree
• Node
• B-tree
• Tree alignment

MITRE: Seven Systems for Semantic Similarity in Tweets Guido Zarrella, John Henderson, Elizabeth M. Merkhofer and Laura Strickhart The MITRE Corporation 202 Burlington Road Bedford, MA, USA {jzarrella,jhndrsn,

Source URL: alt.qcri.org

De-anonymizing Users Across Heterogeneous Social Computing Platforms Mohammed Korayem and David J. Crandall School of Informatics & Computing, Indiana University, Bloomington, IN, USA 1. Motivation

Source URL: vision.soic.indiana.edu

• Software
• Computing
• Social networking services
• Social media
• Universal Windows Platform apps
• Machine learning
• Statistical classification
• Twitter
• Cosine similarity
• Facebook
• Naive Bayes classifier
• Classifier

A Framework for the Construction of Monolingual and Cross-lingual Word Similarity Datasets Jos´e Camacho-Collados, Mohammad Taher Pilehvar and Roberto Navigli Department of Computer Science Sapienza University of Rome {

Source URL: wwwusers.di.uniroma1.it

ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity Christian H¨anig, Robert Remus, Xose De La Puente ExB Research & Development GmbH SeeburgstrLeipzig, Germany

Source URL: alt.qcri.org

Beyond Co-occurrence: Discovering and Visualizing Tag Relationships from Geo-spatial and Temporal Similarities Haipeng Zhang, Mohammed Korayem, Erkang You, David Crandall School of Informatics and Computing, Indiana Univ

Source URL: vision.soic.indiana.edu

• Information science
• Information retrieval
• Information
• Semantic similarity
• Statistical distance
• Tag
• Geo