Unsupervised entity linking using graph-based semantic similarity

Nowadays, the human textual data constitutes a great proportion of the shared information resources such as World Wide Web (WWW). Social networks, news and learning resources as well as Knowledge Bases (KBs) are just the small examples that widely contain the textual data which is used by both human and machine readers. The nature of human languages is highly ambiguous, means that a short portion of a textual context (such as words or phrases) can semantically be interpreted in different ways. A language processor should detect the best interpretation depending on the context in which each word or phrase appears. In case of human readers, the brain is quite proficient in interfering textual data. Human language developed in a way that reflects the innate ability provided by the brain’s neural networks. However, there still exist the moments that the text disambiguation task would remain a hard challenge for the human readers. In case of machine readers, it has been a long-term challenge to develop the ability to do natural language processing and machine learning. Different interpretation can change the broad range of topics and targets. The different in interpretation can cause serious impacts when it is used in critical domains that need high precision. Thus, the correctly inferring the ambiguous words would be highly crucial. To tackle it, two tasks have been developed: Word Sense Disambiguation (WSD) to infer the sense (i.e. meaning) of ambiguous words, when the word has multiple meanings, and Entity Linking (EL) (also called, Named Entity Disambiguation–NED, Named Entity Recognition and Disambiguation–NERD, or Named Entity Normalization–NEN) which is used to explore the correct reference of Named Entity (NE) mentions occurring in documents. The solution to these problems impacts other computer-related writing, such as discourse, improving relevance of search engines, anaphora resolution, coherence, and inference. This document summarizes the works towards developing an unsupervised Entity Linking (EL) system using graph-based semantic similarity aiming to disambiguate Named Entity (NE) mentions occurring in a target document. The EL task is highly challenging since each entity can usually be referred to by several NE mentions (synonymy). In addition, a NE mention may be used to indicate distinct entities (polysemy). Thus, much effort is necessary to tackle these challenges. Our EL system disambiguates the NE mentions in several steps. For each step, we have proposed, implemented, and evaluated several approaches. We evaluated our EL system in TAC-KBP4 English EL evaluation framework in which the system input consists of a set of queries, each containing a query name (target NE mention) along with start and end offsets of that mention in the target document. The output is either a NE entry id in a reference Knowledge Base (KB) or a Not-in-KB (NIL) id in the case that system could not find any appropriate entry for that query. At the end, we have analyzed our result in different aspects. To disambiguate query name we apply a graph-based semantic similarity approach to extract the network of the semantic knowledge existing in the content of target document.Este documento es un resumen del trabajo realizado para la construccion de un sistema de Entity Linking (EL) destinado a desambiguar menciones de Entidades Nombradas (Named Entities, NE) que aparecen en un documento de referencia. La tarea de EL presenta una gran dificultad ya que cada entidad puede ser mencionada de varias maneras (sinonimia). Ademas cada mencion puede referirse a mas de una entidad (polisemia). Asi pues, se debe realizar un gran esfuerzo para hacer frente a estos retos. Nuestro sistema de EL lleva a cabo la desambiguacion de las menciones de NE en varias etapas. Para cada etapa hemos propuesto, implementado y evaluado varias aproximaciones. Hemos evaluado nuestro sistema de EL en el marco del TAC-KBP English EL evaluation framework. En este marco la evaluacion se realiza a partir de una entrada que consiste en un conjunto de consultas cada una de las cuales consta de un nombre (query name) que corresponde a una mencion objetivo cuya posicion en un documento de referencia se indica. La salida debe indicar a que entidad en una base de conocimiento (Knowledge Base, KB) corresponde la mencion. En caso de no existir un referente apropiado la respuesta sera Not-in-KB (NIL). La tesis concluye con un analisis pormenorizado de los resultados obtenidos en la evaluacion.Postprint (published version

Synchronization dynamics of two nanomechanical membranes within a Fabry-Perot cavity

Spontaneous synchronization is a significant collective behavior of weakly coupled systems. Due to their inherent nonlinear nature, optomechanical systems can exhibit self-sustained oscillations which can be exploited for synchronizing different mechanical resonators. In this paper, we explore the synchronization dynamics of two membranes coupled to a common optical field within a cavity, and pumped with a strong blue-detuned laser drive. We focus on the system quantum dynamics in the parameter regime corresponding to synchronization of the classical motion of the two membranes. With an appropriate definition of the phase difference operator for the resonators, we study synchronization in the quantum case through the covariance matrix formalism. We find that for sufficiently large driving, quantum synchronization is robust with respect to quantum fluctuations and to thermal noise up to not too large temperatures. Under synchronization, the two membranes are never entangled, while quantum discord behaves similarly to quantum synchronization, that is, it is larger when the variance of the phase difference is smaller

Temporally Multi-staged Batch Counterflow Reverse Osmosis for High Recovery Desalination

Osmotically assisted reverse osmosis (OARO) or counterflow reverse osmosis (CFRO) are recent RO configurations that uses saline streams on both sides of the membrane in counterflow. This reduces the osmotic pressure difference that needs to be overcome for permeation and allows water recovery from high salinity feeds at regular RO pressure. Batch RO is a new, transient RO configuration that closely follows the osmotic pressure profile of the feed and is marked by high energy efficiency. In this work we extend a transient version of CFRO, Batch CFRO for high recovery (~74%) desalination of seawater using a temporally multi-staged version of the process for the first time. In doing so, we introduce the first configuration to achieve Batch CFRO using entirely available components, including a pressure exchanger rather than high pressure tanks. Using a reduced order model, the terminal salinity of the brine leaving the system is calculated to be 183 g/kg. The key feature of this new configuration is that it is multi-staged in time rather than space. As such it can use the same hollow fiber membrane module for the different stages and hence reduce the component (pumps and pressure exchangers) count of the process. The brine produced in each stage is stored in inexpensive atmospheric pressure tanks. This is in contrast with other multi-stage processes where the number of flow devices usually scale with the number of stages needed for higher recovery and usually leads to high cost. Notably, the choice of membrane type can make a significant difference, as common narrow hollow fibers can experience large pressure drops that become significant. This leads to the conclusion that module design must be key to achieve the top-energy numbers of other batch CFRO configurations by the team, such as spiral wound membranes, turbulence-inducing spacers, or using feed on the shell side of the fibers

Geometric approach to nonlinear coherent states using the Higgs model for harmonic oscillator

In this paper, we investigate the relation between the curvature of the physical space and the deformation function of the deformed oscillator algebra using non-linear coherent states approach. For this purpose, we study two-dimensional harmonic oscillators on the flat surface and on a sphere by applying the Higgs modell. With the use of their algebras, we show that the two-dimensional oscillator algebra on a surface can be considered as a deformed one-dimensional oscillator algebra where the effect of the curvature of the surface is appeared as a deformation function. We also show that the curvature of the physical space plays the role of deformation parameter. Then we construct the associated coherent states on the flat surface and on a sphere and compare their quantum statistical properties, including quadrature squeezing and antibunching effect.Comment: 12 pages, 7 figs. To be appeared in J. Phys.