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Given a set of documents and an input query that is expressed using natural language, the problem of document search is retrieving all relevant documents ordered by the degree of relevance. Semantic document search fetches not only documents that contain words from the input query, but also documents that are semantically relevant. For example, the query "friendly pets" will consider documents...
Extraction of gut-microbes information is important for analyzing the effects on human gut microbiome from the difference of human attributes such as nationality, gender, age and so on. It is pointed out that human gut microbiome, a set of bacteria, has various pathological and biological impacts on a hosting human body system. However, analyzing and estimating such kinds of impact from biological...
Since the events of the Arab Spring, there has been increased interest in using social media to anticipate social unrest. While efforts have been made toward automated unrest prediction, we focus on filtering the vast volume of tweets to identify tweets relevant to unrest, which can be provided to downstream users for further analysis. We train a supervised classifier that is able to label Arabic...
The Internet is a major source of online news content. Current efforts are made to unlock latent meaning in online news content using advanced language processing tools and machine intelligence. This necessitates exploring the internal structure of news narratives to cope with the challenges posed by limitations of existing tools. This article explores the conceptualization of Double Subjectivity...
Autonomous driving has gained increasing attention and achieved significant successes. To enable autonomous driving, a vehicle needs to collect sensor data and process them in real-time to derive a perception model of the surrounding environment. Driving control decisions are derived based on the perception model. However, the semantics of the perception model are relatively primitive. Some additional...
The northbound interface of SDN is the functional interface exposed by the controller for upper layer applications to implement business logic. Recent studies on northbound interface focus on aspects such as portability, programmability, network virtualization, etc. The rich software features and open architecture offered by SDN have broadened the concept of network resources. Nevertheless, a systematic...
Semantic Web has brought forth the idea of computing with knowledge, hence, attributing the ability of thinking to machines. Knowledge Graphs represent a major advancement in the construction of the Web of Data where machines are context-aware when answering users' queries. The English Knowledge Graph was a milestone realized by Google in 2012. Even though it is a useful source of information for...
A coreference refers to different instances of the same real-world entity. Coreference classification is an important problem in knowledge and data management. The basic idea is to predict whether two instances are matched or non-matched, based on their similarity vector. Previous efforts on coreference classification share a common weakness. It is the unawareness of the ambiguity variation among...
Semantic information about the environment lets users operate a robot using natural language. This is a comfortable way to make a robot do tasks in daily-life environments. Because a floor map in a building includes semantic information, if the robot can relate its own map to the floor map, the robot can access this information. The robot obtains the map of the unknown place by using simultaneous...
Recently many researches have shown that word embeddings are able to represent information from word related contexts or its nearest neighborhood words, and thus are applied in many NLP tasks successfully. In this paper, we propose convolutional neural network model to extent word embeddings to mention/antecedent representation. These representations are obtained through convoluting neighboring word...
Online social networks (OSNs) like Twitter provide an open platform for users to easily convey their thoughts and ideas from personal experiences to breaking news. With the increasing popularity of Twitter and the explosion of tweets, we have observed large amounts of potentially sensitive/private messages being published to OSNs inadvertently or voluntarily. The owners of these messages may become...
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