Using qualia information to identify lexical semantic classes in an unsupervised clustering task

Acquiring lexical information is a complex problem, typically approached by relying on a number of contexts to contribute information for classification. One of the first issues to address in this domain is the determination of such contexts. The work presented here proposes the use of automatically obtained FORMAL role descriptors as features used to draw nouns from the same lexical semantic class together in an unsupervised clustering task. We have dealt with three lexical semantic classes (HUMAN, LOCATION and EVENT) in English. The results obtained show that it is possible to discriminate between elements from different lexical semantic classes using only FORMAL role information, hence validating our initial hypothesis. Also, iterating our method accurately accounts for fine-grained distinctions within lexical classes, namely distinctions involving ambiguous expressions. Moreover, a filtering and bootstrapping strategy employed in extracting FORMAL role descriptors proved to minimize effects of sparse data and noise in our task.

Using WordNet relations and semantic classes in information retrieval tasks

In this paper we explore the use of semantic classes in an existing information retrieval system in order to improve its results. Thus, we use two different ontologies of semantic classes (WordNet domain and Basic Level Concepts) in order to re-rank the retrieved documents and obtain better recall and precision. Finally, we implement a new method for weighting the expanded terms taking into account the weights of the original query terms and their relations in WordNet with respect to the new ones (which have demonstrated to improve the results). The evaluation of these approaches was carried out in the CLEF Robust-WSD Task, obtaining an improvement of 1.8% in GMAP for the semantic classes approach and 10% in MAP employing the WordNet term weighting approach.

Automatic Lexical Semantic Classification of Nouns

The work we present here addresses cue-based noun classification in English and Spanish. Its main objective is to automatically acquire lexical semantic information by classifying nouns into previously known noun lexical classes. This is achieved by using particular aspects of linguistic contexts as cues that identify a specific lexical class. Here we concentrate on the task of identifying such cues and the theoretical background that allows for an assessment of the complexity of the task. The results show that, despite of the a-priori complexity of the task, cue-based classification is a useful tool in the automatic acquisition of lexical semantic classes.

Enriching the integration of semantic resources based on WordNet

In this paper we present the enrichment of the Integration of Semantic Resources based in WordNet (ISR-WN Enriched). This new proposal improves the previous one where several semantic resources such as SUMO, WordNet Domains and WordNet Affects were related, adding other semantic resources such as Semantic Classes and SentiWordNet. Firstly, the paper describes the architecture of this proposal explaining the particularities of each integrated resource. After that, we analyze some problems related to the mappings of different versions and how we solve them. Moreover, we show the advantages that this kind of tool can provide to different applications of Natural Language Processing. Related to that question, we can demonstrate that the integration of semantic resources allows acquiring a multidimensional vision in the analysis of natural language.

Integrated visual vocabulary in latent Dirichlet allocation-based scene classification for IKONOS image

Scene classification based on latent Dirichlet allocation (LDA) is a more general modeling method known as a bag of visual words, in which the construction of a visual vocabulary is a crucial quantization process to ensure success of the classification. A framework is developed using the following new aspects: Gaussian mixture clustering for the quantization process, the use of an integrated visual vocabulary (IVV), which is built as the union of all centroids obtained from the separate quantization process of each class, and the usage of some features, including edge orientation histogram, CIELab color moments, and gray-level co-occurrence matrix (GLCM). The experiments are conducted on IKONOS images with six semantic classes (tree, grassland, residential, commercial/industrial, road, and water). The results show that the use of an IVV increases the overall accuracy (OA) by 11 to 12% and 6% when it is implemented on the selected and all features, respectively. The selected features of CIELab color moments and GLCM provide a better OA than the implementation over CIELab color moment or GLCM as individuals. The latter increases the OA by only ∼2 to 3%. Moreover, the results show that the OA of LDA outperforms the OA of C4.5 and naive Bayes tree by ∼20%. © 2014 Society of Photo-Optical Instrumentation Engineers (SPIE) [DOI: 10.1117/1.JRS.8.083690]

The verb slot in causative constructions. Finding the best fit

Using the technique of multiple distinctive collexeme analysis, this paper seeks to determine the verbs that are distinctively associated with the non-finite verb slot of English periphrastic causative constructions. Not only does the analysis reveal that the various causative constructions are attracted to essentially different verbs, but by examining how these verbs fall into semantic classes, it also hints at subtle differences in meaning between the constructions. In addition, the paper shows how the technique of multiple distinctive collexeme analysis can be usefully combined with other, complementary methods, and briefly discusses a number of factors which influence the results of multiple distinctive collexeme analysis and should therefore ideally be taken into account.

ISR-WN: Integración de recursos semánticos basados en WordNet

La presente herramienta informática constituye un software que es capaz concebir una red semántica con los siguientes recursos: WordNet versión 1.6 y 2.0, WordNet Affects versión 1.0 y 1.1, WordNet Domain versión 2.0, SUMO, Semantic Classes y Senti WordNet versión 3.0, todos integrados y relacionados en una única base de conocimiento. Utilizando estos recursos, ISR-WN cuenta con funcionalidades añadidas que permiten la exploración de dicha red de un modo simple aplicando funciones tanto como de recorrido como de búsquedas textuales. Mediante la interrogación de dicha red semántica es posible obtener información para enriquecer textos, como puede ser obtener las definiciones de aquellas palabras que son de uso común en determinados Dominios en general, dominios emocionales, y otras conceptualizaciones, además de conocer de un determinado sentido de una palabra su valoración proporcionada por el recurso SentiWordnet de positividad, negatividad y objetividad sentimental. Toda esta información puede ser utilizada en tareas de procesamiento del lenguaje natural como: • Desambiguación del Sentido de las Palabras, • Detección de la Polaridad Sentimental • Análisis Semántico y Léxico para la obtención de conceptos relevantes en una frase según el tipo de recurso implicado. Esta herramienta tiene como base el idioma inglés y se encuentra disponible como una aplicación de Windows la cual dispone de un archivo de instalación el cual despliega en el ordenador de residencia las librerías necesarias para su correcta utilización. Además de la interfaz de usuario ofrecida, esta herramienta puede ser utilizada como API (Application Programming Interface) por otras aplicaciones.

Analyzing lexical emergence in Modern American English online

This paper introduces a quantitative method for identifying newly emerging word forms in large time-stamped corpora of natural language and then describes an analysis of lexical emergence in American social media using this method based on a multi-billion word corpus of Tweets collected between October 2013 and November 2014. In total 29 emerging word forms, which represent various semantic classes, grammatical parts-of speech, and word formations processes, were identified through this analysis. These 29 forms are then examined from various perspectives in order to begin to better understand the process of lexical emergence.

A preceptoria na estratégia saúde da família: o olhar dos profissionais de saúde

The proposal of teaching-service integration from work experience brings a challenge to the professionals involved in health services: to combine their healthcare practice to the preparation of new professionals in accordance with the national health model. In Recife, the assistance network is known as school network, since it provides all its health equipment for Higher Education Institutions, in special for professionals who work as preceptors, making this activity an important component of the services network. The objective of the present study was to analyze preceptorship experience herein Multidisciplinary Residences in Health in the look of health professionals. This is a qualitative descriptive study, involving physicians, dentists, and nurses that have worked as preceptors for at least two years in multidisciplinary residency linked to two Higher Education Institutions. A semistructured interview was used as research instrument and data were processed by using the software Alceste 4.9. Results indicated four semantic classes which were divided into two axis. Axis 1, composed of class 4, and Axis 2, composed of classes 3, 2 and 1. Categorization considered the relation between classes. It was observed that in class 4 work overload is a dilemma for professional participation in preceptorship. This is noted by the words manage, time, patient, give, and complicated. However, it is also observed that the preceptorship involves positive learning and teaching actions, reinforced by the words say, explain, and discuss. Class 2 shows the preceptorship as an experience exchange, a positive moment that provides theoretical upgrade to the preceptor, associated to the professional practices performed by the binominal preceptor-student in health services and communities. In this perspective, everyone is benefited since preceptorship is structured according to dynamic aspects of knowledge, experienced in settings permeated by people´s health necessities. In class 3, potentialities of this practice are shown, and personal compromise is the main reason of acting as a preceptor in this network of education/attention, demonstrated in the words reason, formation, to like and professionals. Last, but not the least, class 1 suggests the importance of preceptorship and one of the strategies to create the National Politics of Humanization, from the teachingservice-community integration, observed in the words: arrives, university, fundamental, manner, partnership, service, and student. Besides, it rates perspectives and challenges for the improvement of the preceptorship in health services. Integrating teaching and service can enhance the proposals of changes concerning the healthcare model practiced in services, but this relation is still superficial. The preceptor is an actor in action, playing real life roles, and that is when he becomes essential to seek training with the profile defended in the proposed training of a professional who is capable of learning to learn

Mestrado profissional em saúde da família: o curso sob a perspectiva dos mestrandos

Professional masters were created in Brazil in the 1990s in response to social changes in the world of work and aim to train high-level professionals with own profile for various activities of society and the productive sector. They are up in more innovative mode of graduate studies in Brazil, and therefore lack of legitimacy of their identity, which raises the need for discussions to get further information and outline the characteristics of this postgraduate modality. You want to build new understandings about their peculiarities starting from the perspective of students from the Professional Masters in Health Net Northeast Family Training in Family Health, and not only according to the similarities and differences with the academic master. This study aims to understand the meanings attributed by masters training in that course. This is a qualitative, exploratory study. The subjects are 100 students in training in 2013, distributed among the six institutions nucleation Network Northeast Training in Family Health. To collect information desk research was conducted in institutional records of all students, as well as interviews. We interviewed 15 students, distributed in the six nucleation institutions. Information obtained through recorded interviews were transcribed and resulted in two analytical corpus subsequently submitted to Alceste © 4.9 software for identification of semantic classes. It can be concluded that the course provided a redefinition of professional practices in the Family Health Strategy, considering the organizational context of primary care in the Northeast and the specifics of the health work. Even before the student body difficulties related to ownership of research methods, and the very active methodology of problem-based learning, the course effectively contributed to the improvement of work processes in primary care, valuing teamwork and allowing the acquisition of new scientific knowledge.

Analysis and evaluation of techniques for the extraction of classes in the ontology learning process

This paper analyzes and evaluates, in the context of Ontology learning, some techniques to identify and extract candidate terms to classes of a taxonomy. Besides, this work points out some inconsistencies that may be occurring in the preprocessing of text corpus, and proposes techniques to obtain good terms candidate to classes of a taxonomy.

Verb Classes and Alternations in Bangla, German, English, and Korean

In this report, we investigate the relationship between the semantic and syntactic properties of verbs. Our work is based on the English Verb Classes and Alternations of (Levin, 1993). We explore how these classes are manifested in other languages, in particular, in Bangla, German, and Korean. Our report includes a survey and classification of several hundred verbs from these languages into the cross-linguistic equivalents of Levin's classes. We also explore ways in which our findings may be used to enhance WordNet in two ways: making the English syntactic information of WordNet more fine-grained, and making WordNet multilingual.

Semantic and Personalised Service Discovery

One of the most pervasive classes of services needed to support e-Science applications are those responsible for the discovery of resources. We have developed a solution to the problem of service discovery in a Semantic Web/Grid setting. We do this in the context of bioinformatics, which is the use of computational and mathematical techniques to store, manage, and analyse the data from molecular biology in order to answer questions about biological phenomena. Our specific application is myGrid (www.mygrid.org.uk) that is developing open source, service-based middleware upon which bioinformatics applications can be built. myGrid is specifically targeted at developing open source high-level service Grid middleware for bioinformatics.