Papers by K. Wegrzyn-wolska
2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2011
In the context of Ephemeral Clustering of web Pages, it can be interesting to label each cluster ... more In the context of Ephemeral Clustering of web Pages, it can be interesting to label each cluster with a small summary instead of just a label. Within this scope, we introduce the paradigm of Textual Entailment by Generality, which can be defined as the entailment from a specific web snippet towards a more general web snippet. The subjacent idea is to find the best web snippet, which summarizes and subsumes all the other web snippets within an ephemeral cluster. To reach this objective, we first propose a new informative asymmetric similarity measure called the Simplified Asymmetric InfoSimba (AISs), which can be combined with different asymmetric association measures. In particular, the AISs proposes an unsupervised language-independent solution to infer Textual Entailment by Generality and as such can help to encounter the web snippet with maximum semantic coverage. This new methodology is tested against the first Recognizing Textual Entailment data set (RTE-1) 1 for an exhaustive number of asymmetric association measures with and without the identification of Multiword Units. The comparative experiments with existing state-of-the-art methodologies show promising results.
Neural Networks In Determination Of Defuzzification Functionals
ECMS 2011 Proceedings edited by: T. Burczynski, J. Kolodziej, A. Byrski, M. Carvalho, 2011
ABSTRACT
Etude et realisation d'un meta-indexeur pour la recherche sur le Web de documents produits par l'administration francaise
2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2008
This paper describes the functions of a system designed for the assessment of movie reviews. Such... more This paper describes the functions of a system designed for the assessment of movie reviews. Such a system enables the automatic collection, evaluation and rating of film critics' opinions of movies. First the system searches and retrieves probable movie reviews from the Internet, especially those expressed by prolific reviewers. Subsequently the system carries out an evaluation and rating of those movie reviews. Finally the system automatically associates a numerical mark to each review, this is the objective of the system. This data constitutes the input to the cognitive engine. Our system uses three different methods for classifying opinions in critics' reviews. We introduce two new methods based on linguistic knowledge. Results are then compared with the overall statistical method using Bays classifier. The last step is to combine the results obtained in order to make the final assessment as accurately as possible.
Decision Support Systems Advances in, 2010
Advances in Soft Computing, 2007
This paper describes the part of a recommendation system designed for the recognition of film rev... more This paper describes the part of a recommendation system designed for the recognition of film reviews (RRSS). Such a system allows the automatic collection, evaluation and rating of reviews and opinions of the movies. First the system searches and retrieves texts supposed to be movie reviews from the Internet. Subsequently the system carries out an evaluation and rating of the movie reviews. Finally, the system automatically associates a digital assessment with each review. The goal of the system is to give the score of reviews associated with the user who wrote them. All of this data is the input to the cognitive engine. Data from our base allows the making of correspondences, which are required for cognitive algorithms to improve, advanced recommending functionalities for e-business and e-purchase websites. In this paper we will describe the different methods on automatically identifying opinions using natural language knowledge and techniques of classification.
ESIGETEL, Fontainebleau-Avon, France
Patient classification algorithm at urgency care area of a hospital based on the triage system
Integration of a Speech-Analyzer Agent in a Multi Agent System for Remote Healthcare Monitoring
Advances in Intelligent Systems and Computing, 2012
ABSTRACT The age of the population in all societies around the world is increasing. Elderly peopl... more ABSTRACT The age of the population in all societies around the world is increasing. Elderly people prefer to maintain their independence, their autonomy and live at home as long as possible. This research take place in the field of the health care telemonitoring system which proposes software solutions to monitor elderly people in their own home. This study aims to make profit of the technological diversity of the several Decision Support System used to detect distress situation. We propose a multi-Agent approach to federate a collective decision process in which each Agent encapsulates a decision support system. This encapsulation enables the real time combination of the decisions.
2013 Fifth International Conference on Computational Aspects of Social Networks, 2013
This paper describes functions of a system designed for the behavior analysis of e-commerce clien... more This paper describes functions of a system designed for the behavior analysis of e-commerce clients. It enables user identification and client behavior extraction for interacting with web site customers. General approaches used in the field of Web Usage Mining are presented together with proposals to extend the data base with the information gained from ecommerce site forums and queries. Our system carries out an evaluation and rating of opinions, and our approach is based on linguistic and the statistic treatment of natural language. Three different methods for classifying opinions from clients' forum are used, and two new methods, based on linguistic knowledge to assign a mark dependent upon the client's emotions and opinions described in forum comments, have been introduced.
Linking the Drugs and Pharmaceutical Databases
2009 Fifth International Conference on Next Generation Web Services Practices, 2009
ABSTRACT The quantity of biomedical publications is growing at an exponential rate. With such exp... more ABSTRACT The quantity of biomedical publications is growing at an exponential rate. With such explosive growth of the content, it is more and more difficult to locate, retrieve and manage the resulting information. This is why text mining has become a necessity. The main goal of biomedical research is to put knowledge to practical use in the form of diagnoses, prevention, and treatment. It is important to pool the resources between the different individuals researching results. The objective of this paper is to discuss the variety of issues and challenges surrounding the perspectives regarding the use of Information Retrieval and Text Mining methods in biomedicine. The article will first look at the directions in biomedical Text Mining and then describe the work done for the BIAM project, the French on-line Medical Data Base.
Procedia - Social and Behavioral Sciences, 2011
Textual Entailment consists in determining if an entailment relation exists between two texts. In... more Textual Entailment consists in determining if an entailment relation exists between two texts. In this paper, we present an Informative Asymmetric Measure called the Asymmetric InfoSimba (AIS ), which we combine with different asym-metric association measures to recognize the specific case of Textual Entailment by Generality. In particular, the AIS proposes an unsupervised, language-independent, threshold free solution. This new measure is tested against the first Recognizing Textual Entailment dataset for an exhaustive number of asymmetric association measures and shows that the combination of the AIS with the Braun-Blanket steadily improves results against competitive measures such as the one proposed by .
Combination of Decision Support System (DSS) for Remote Healthcare Monitoring Using a Multi-agent Approach
Communications in Computer and Information Science, 2011
This paper presents two new methods for network analysis. Ant colony optimization is a nature ins... more This paper presents two new methods for network analysis. Ant colony optimization is a nature inspired algorithm succesfull in graph traversal and network path finding whereas network reduction based on stability introduces two new properties of network vertices based on their long-term behavior, their role in the network and the understanding of how memory works. We illustrate the algorithms on applications in social network analysis and information retrieval using the DBLP dataset and a small network of hyperlinked documents.
2011 International Conference on Computational Aspects of Social Networks (CASoN), 2011
The quantity of medical publications in the media such a tweets, blogs, and another content in so... more The quantity of medical publications in the media such a tweets, blogs, and another content in social media is growing at an exponential rate. Exploring and analyzing this content has become a necessity. The objective of this paper is to discuss the variety of issues and challenges surrounding the perspectives regarding the use of Social Network Analyses and Text Mining methods for applications in E health and medecine. The article will first look at the directions taken in Social Media and Text Mining for medical science. First we present a review of the literature in Social Media and Text Mining analysis for medical purposes and then describe the work done for our prediction system for collecting and manipulating and Twitter data.
Recognizing textual entailment by generality using informative asymmetric measures and multiword unit identification to summarize ephemeral clusters
In the context of Ephemeral Clustering of web Pages, it can be interesting to label each cluster ... more In the context of Ephemeral Clustering of web Pages, it can be interesting to label each cluster with a small summary instead of just a label. Within this scope, we introduce the paradigm of Textual Entailment by Generality, which can be defined as the entailment from a specific web snippet towards a more general web snippet. The subjacent idea is to find the best web snippet, which summarizes and subsumes all the other web snippets within an ephemeral cluster. To reach this objective, we first propose a new informative asymmetric similarity measure called the Simplified Asymmetric InfoSimba (AISs), which can be combined with different asymmetric association measures. In particular, the AISs proposes na unsupervised language-independent solution to infer Textual Entailment by Generality and as such can help to encounter the web snippet with maximum semantic coverage. This new methodology is tested against the first Recognizing Textual Entailment data set (RTE-1)1 for an exhaustive number of asymmetric association measures with and without the identification of Multiword Units. The comparative experiments with existing state-of-the-art methodologies show promising results.
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Papers by K. Wegrzyn-wolska