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Set expansion refers to expanding a partial set of “seed” objects into a more complete set. In this paper, we focus on relation and list extraction techniques to perform Entity List Completion task through a two stage retrieval process. First stage takes given query entity and target entity examples as seeds and does set expansion. In second stage, only those candidates who have valid URI in Bi...

The paper-and-pencil digit-comparison task for assessing negative priming (NP) was introduced, using a referent-size-selection procedure that was demonstrated to enhance the effect. NP is indicated by slower responses to recently ignored items, and proposed within the clinical-experimental framework as a major cognitive index of active suppression of distracting information, critical to executi...

Recent advancements in medical entity linking have been applied the area of scientific literature and social media data. However, with adoption telemedicine conversational agents such as Alexa healthcare settings, name inference has become an important task. Medication is task mapping user friendly medication names from a free-form text to concept normalized list. This challenging due differenc...

Consider a sports competition in which participants alternately perform a scored task (such as the distance a discus is thrown), and a list of the top m scores is updated throughout. We consider the average number and distribution of records among the top m throughout and at the end of the competition. We also answer questions concerning the number of times the list changes, when each change oc...

This paper proposes a methodology for generating a stopword list from online social network (OSN) corpora in Egyptian Dialect (ED). The aim of the paper is to investigate the effect of removing ED stopwords on the Sentiment Analysis (SA) task. The stopwords lists generated before were on Modern Standard Arabic (MSA) which is not the common language used in OSN. We have generated a stopword list...

This paper presents an approach to FAQ mining via a list detection algorithm. List detection is very important for data collection since list has been widely used for representing data and information on the Web. By analyzing the rendering of FAQs on the Web, we found a fact that all FAQs are always fully/partially represented in a list-like form. There are two ways to author a list on the Web....

Medical specialties provide essential information about which providers have the skills needed to carry out key procedures or make critical judgments. They are useful for training and staffing and provide confidence to patients that their providers have the experience needed to address their problems. This work evaluates how machine learning classifiers can be trained on treatment histories to ...