Accurate and real-time identification of domains and concepts discussed in microblogging texts is crucial for many important applications such as earthquake monitoring, influenza surveillance and disaster management. Existing techniques such as machine learning and keyword generation are application specific and require significant amount of training in order to achieve high accuracy. In this p...

Clinical texts, such as discharge summaries or test reports, contain a valuable amount of information that, if efficiently and effectively mined, could be used to infer new knowledge, possibly leading to better diagnosis and therapeutics. With this in mind, the SemEval-2014 Analysis of Clinical Text task aimed at assessing and improving current methods for identification and normalization of co...

Automatic web site classification has a wide application prospect; however, there are few researches on it. Different from pure texts, web sites are the combination of a large number of web pages via hyperlinks, so text classification methods are not suitable to classify them directly. This paper proposes a web site classification approach based on its topological structure. Given a web site, f...

Retrieving similar questions in online Q&A community sites is a difficult task because different users may formulate the same question in a variety of ways, using different vocabulary and structure. In this work, we propose a new neural network architecture to perform the task of semantically equivalent question retrieval. The proposed architecture, which we call BOW-CNN, combines a bag-ofwords...

About the Course In this course we shall mostly talk and think about numbers, working carefully from definitions. The course will have the following components: 1. Proof and Mathematical Argument 2. Sets, Relations and Functions 3. Construction and Properties of Number Systems 4. Some Number Theory 5. Countability If you wish to read further about various topics covered in this course and relat...

The annotation of large corpora is usually restricted to syntactic structure and word class. Pure lexical information and information on the structure of words are stored in specialized dictionaries (Baayen et al., 1995). Both data structures – dictionary and text corpus – can be matched to get e.g. a distribution of certain (restricted) lexical information from a text. This procedure works fin...

Future digital libraries will not only contain pure text documents, but increasingly hold massive amounts of compound documents which comprise many multimedia objects, e.g. texts, images, audio, and video. Already existing collections of documents, e.g. all electronic health records of one clinic can form a digital library with millions of multimedia objects and a total storage of several terab...

MOTIVATION The accurate identification of chemicals in text is important for many applications, including computer-assisted reconstruction of metabolic networks or retrieval of information about substances in drug development. But due to the diversity of naming conventions and traditions for such molecules, this task is highly complex and should be supported by computational tools. RESULTS We...

religious texts have divided to texts of quran's verses and traditions of imams. some of the fundamentalists have diversity of opinions in mentioned comprehensible texts and they have proposed different theories in it. although dispute of this group of fundamentalists in religious texts is also minor premise and major but recent research is related to dispute of major. the intention of dis...

i. Introduction The study of text understanding and knowlegde extraction has been actively done by many researchers. The authors also studied a method of structured information extraction from texts without a global text analysis. The method is available for a comparatively sbort text such as a patent claim clause and an abstract of a technical paper. This paper describes tile outline of a meth...