Xem 1-20 trên 203 kết quả Text relationships
  • We describe the early stage of our methodology of knowledge acquisition from technical texts. First, a partial morpho-syntactic analysis is performed to extract "candidate terms". Then, the knowledge engineer, assisted by an automatic clustering tool, builds the "conceptual fields" of the domain. We focus on this conceptual analysis stage, describe the data prepared from the results of the morpho-syntactic analysis and show the results of the clustering module and their interpretation.

    pdf3p bunthai_1 06-05-2013 26 4   Download

  • We demonstrate how supervised discriminative machine learning techniques can be used to automate the assessment of ‘English as a Second or Other Language’ (ESOL) examination scripts. In particular, we use rank preference learning to explicitly model the grade relationships between scripts. A number of different features are extracted and ablation tests are used to investigate their contribution to overall performance. A comparison between regression and rank preference models further supports our method. ...

    pdf10p hongdo_1 12-04-2013 16 3   Download

  • Sociolinguists have long argued that social context influences language use in all manner of ways, resulting in lects 1 . This paper explores a text classification problem we will call lect modeling, an example of what has been termed computational sociolinguistics. In particular, we use machine learning techniques to identify social power relationships between members of a social network, based purely on the content of their interpersonal communication.

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  • We address the rating-inference problem, wherein rather than simply decide whether a review is “thumbs up” or “thumbs down”, as in previous sentiment analysis work, one must determine an author’s evaluation with respect to a multi-point scale (e.g., one to five “stars”). This task represents an interesting twist on standard multi-class text categorization because there are several different degrees of similarity between class labels; for example, “three stars” is intuitively closer to “four stars” than to “one star”.

    pdf10p bunbo_1 17-04-2013 22 2   Download

  • Determining the relationship between the intonational characteristics of an utterance and other features inferable from its text is important both for speech recognition and for speech synthesis. This work investigates the use of text analysis in predicting the location of intonational phrase boundaries in natural speech, through analyzing 298 utterances from the DARPA Air Travel Information Service database. For statistical modeling, we employ Classification and Regression Tree (CART) techniques. ...

    pdf8p bunmoc_1 20-04-2013 9 2   Download

  • In this paper, we describe a new approach to semi-supervised adaptive learning of event extraction from text. Given a set of examples and an un-annotated text corpus, the BEAR system (Bootstrapping Events And Relations) will automatically learn how to recognize and understand descriptions of complex semantic relationships in text, such as events involving multiple entities and their roles. For example, given a series of descriptions of bombing and shooting incidents (e.g.

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  • In this paper, we encode topic dependencies in hierarchical multi-label Text Categorization (TC) by means of rerankers. We represent reranking hypotheses with several innovative kernels considering both the structure of the hierarchy and the probability of nodes. Additionally, to better investigate the role of category relationships, we consider two interesting cases: (i) traditional schemes in which node-fathers include all the documents of their child-categories; and (ii) more general schemes, in which children can include documents not belonging to their fathers. ...

    pdf9p nghetay_1 07-04-2013 18 1   Download

  • In social psychology, it is generally accepted that one discloses more of his/her personal information to someone in a strong relationship. We present a computational framework for automatically analyzing such self-disclosure behavior in Twitter conversations. Our framework uses text mining techniques to discover topics, emotions, sentiments, lexical patterns, as well as personally identifiable information (PII) and personally embarrassing information (PEI).

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  • Systemic grammar has been used for AI text generation work in the past, but the Implementations have tended be ad hoc or inefficient. This paper presents an approach to systemic text generation where AI problem solving techniques are applied directly to an unadulterated systemic grammar. This approach is made possible by a special relationship between systemic grammar and problem solving: both are organized primarily as choosing from alternatives. The result is simple, efficient text generation firmly based in a linguistic theory. ...

    pdf7p buncha_1 08-05-2013 19 1   Download

  • This study presents an original and penetrating analysis of the complex problems surrounding the automatic generaton of natural language text. Laurence Danlos provides a valuable critical review of current research in this important and increasingly active field, and goes on to describe a new theoretical model that is thoroughly grounded in linguistic principles.

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  • The British East India Company established "The Hindustan Bank" in Kolkata and Mumbai in 1770 and later in 1785 established other banks. In early nineteenth century three Presidency Banks, i.e., Bank of Bengal, Bank of Bombay and Bank of Madras were established. The first important event in the history of banking in India took place in 1919 when the Presidency Banks were amalgamated and Imperial Bank of India was set up.

    pdf0p kimngan_1 05-11-2012 33 15   Download

  • This text is designed to be used with an introductory course in database management. Such a course is usually required as part of an information systems curriculum in business schools, computer technology programs, and applied computer science departments.

    pdf715p puckish 20-10-2013 135 10   Download

  • This book, now in its third edition, began almost 25 years ago when Weed Ecology: Implications for Vegetation Management was published in 1984. That text concentrated on the need for farmers, foresters, rangeland managers, and the researchers who advised them to understand better the biology of weeds and the role people play in creating and maintaining weeds in agriculture and other production systems. We were assisted in that first effort by the writings of many early scientists, such as J. L. Harper, H. G. Baker, and E. J.

    pdf475p camchuong_1 11-12-2012 34 6   Download

  • Many experts from the field of IT Service Management have assisted in putting together this first edition of The Guide to IT Service Management Volume I. Without these authors, who have done a lot of work to formulate their knowledge and insights and put them down on paper, a book like this would not be possible. I owe these authors my gratitude. The names of the authors are mentioned in their respective contributions, but you can be assured that many more were involved in the writing and evaluating of the final texts....

    pdf849p phoebe75 01-02-2013 25 6   Download

  • On its surface, James Flaherty’s book looks to be a how-to text for a rapidly emerging set of disciplines and practices called Coaching. Don’t be misled. This book is a lot more than that, although you can read it for no other reason, and it will help you improve your practices as a coach (or as a coachee, a customer of coaching). Not long ago, coaching meant training athletes, performers, and students. Recently, the use of the term has been extended into the worlds of management, leadership, entrepreneurship, and performance in other domains of life....

    pdf258p bunmang_1 30-04-2013 27 6   Download

  • Many thanks to Simon, Matt, Priya, and all of the wonderful and cheery SitePoint team for giving me the chance to write this book and for the time and encouragement that they invested in the process. Thanks also to Jason, Greg, and Eric, first, for believing in the potential of a young mathematics major with a flimsy resume; second, for suggesting that I submit an article to SitePoint (which started all of this); and finally, for their unbelievably flexible and supportive working relationship.

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  • This book had its origin over 30 years ago, when it became apparent to Jack Cohen that there were relationships between multiple regression and correlation (MRC) on the one hand and the analysis of variance (ANOVA) on the other which were undreamed of (or at least did not appear) in the standard textbooks with which he was familiar. On the contrary, the texts of the era treated MRC and ANOVA as wholly distinct systems of data analysis intended for types of research that differed fundamentally in design, goals, and types of variables.

    pdf0p cronus75 14-01-2013 24 4   Download

  • Keyword Search in Databases- P4:Conceptually, a database can be viewed as a data graph GD(V ,E), where V represents a set of objects, and E represents a set of connections between objects. In this book, we concentrate on two kinds of databases, a relational database (RDB) and an XML database. In an RDB, an object is a tuple that consists of many attribute values where some attribute values are strings or full-text; there is a connection between two objects if there exists at least one reference from one to the other....

    pdf5p alone135 21-11-2010 30 3   Download

  • Keyword Search in Databases- P13:Conceptually, a database can be viewed as a data graph GD(V ,E), where V represents a set of objects, and E represents a set of connections between objects. In this book, we concentrate on two kinds of databases, a relational database (RDB) and an XML database. In an RDB, an object is a tuple that consists of many attribute values where some attribute values are strings or full-text; there is a connection between two objects if there exists at least one reference from one to the other....

    pdf5p alone135 21-11-2010 33 3   Download

  • Keyword Search in Databases- P14:Conceptually, a database can be viewed as a data graph GD(V ,E), where V represents a set of objects, and E represents a set of connections between objects. In this book, we concentrate on two kinds of databases, a relational database (RDB) and an XML database. In an RDB, an object is a tuple that consists of many attribute values where some attribute values are strings or full-text; there is a connection between two objects if there exists at least one reference from one to the other....

    pdf5p alone135 21-11-2010 24 3   Download

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