1,721,312 research outputs found
Un approccio geometrico all’analisi dei testi letterari
No full textApplicazione del Latent Semantic Analysis a un testo narrativo, in particolare gli Indifferenti di A. Moravia; R. Gigliucci ha scritto una relazione (pp. 76-79) sui risultati della ricerca dal punto della critica letteraria.An application of Latent Semantic Analysis (LSA) to a narrative text, Gli Indifferenti by Alberto Moravia
Experimenting with Error Abstraction in Requirements Documents
No full textion in Requirements Documents Filippo Lanubile Forrest Shull Victor R. Basili Inst. for Adv. Computer Studies Inst. for Adv. Computer Studies Dipartimento di Informatica Computer Science Department Computer Science Department University of Bari University of Maryland University of Maryland Bari, Italy College Park, MD, USA College Park, MD, USA +39 80 544 3261 +1 301 405 2721 +1 301 405 2721 [email protected] [email protected] [email protected] Abstract 1 In previous experiments we showed that the Perspective-Based Reading (PBR) family of defect detection techniques was effective at detecting faults in requirements documents in some contexts. Experiences from these studies indicate that requirements faults are very difficult to define, classify and quantify. In order to address these difficulties, we present an empirical study whose main purpose is to investigate whether defect detection in requirements documents can be improved by focusing on the errors (i.e., underlying human mi..
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Engineering of Syntactic Features for Shallow Semantic Parsing
No full textRecent natural language learning research has shown that structural kernels can be effectively used to induce accurate models of linguistic phenomena. In this paper, we show that the above properties hold on a novel task related to predicate argument classification. A tree kernel for selecting the subtrees which encodes argument structures is applied. Experiments with Support Vector Machines on large data sets (i.e. the PropBank collection) show that such kernel improves the recognition of argument boundaries
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
The Experimental Paradigm in Software Engineering
No full textThis paper appears in Experimental Software Engineering Issues: Critical Assessment and Future Directives, Proceedings of Dagstuhl-Workshop, edited by H. Dieter Rombach, Victor R. Basili , and Richard Selby,, September 1992, published by Springer-Verlag, #706, Lecture Notes in Computer Software, August 1993. modeling research that does exist has centered on the software product, specifically mathematical models of the program function. We have not sufficiently emphasized models for other components, e.g., processes, resources, defects, etc., the logical and physical integration of these models, the evaluation and analysis of the models via experimentation, the refinement and tailoring of the models to an application environment, and the access and use of these models in an appropriate fashion, on various types of software projects from an engineering point of view. The research is mostly bottom-up, done in isolation. It is the packaging of a technology rather than the solving of a problem or the understanding of a primitive of the discipline. We need research that helps establish a scientific and engineering basis for software engineering. To this end, the research methodologies required involve the need to build, analyze and evaluate models of the software processes and products as well as various aspects of the environment in which the software is being built, e.g the people, the organization, etc. It is especially important to study the interactions of these models. The goal is to develop the conceptual scientific foundations of software engineering upon which future researchers can build. This is often a process of discovering and validating small but important concepts that can be applied in many different ways and that can be used to build more complex and advan..
UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling
No full textIn this paper the UNITOR-HMM-TK system participating in the Spatial Role Labeling task at SemEval 2013 is presented. The spatial roles classification is addressed as a sequence-based word classification problem: the SVM learning algorithm is applied, based on a simple feature modeling and a robust lexical generalization achieved through a Distributional Model of Lexical Semantics. In the identification of spatial relations, roles are combined to generate candidate relations, later verified by a SVM classifier. The Smoothed Partial Tree Kernel is applied, i.e. a convolution kernel that enhances both syntactic and lexical properties of the examples, avoiding the need of a manual feature engineering phase. Finally, results on three of the five tasks of the challenge are reported. c 2013 Association for Computational Linguistic
- …
