In a distributed service environment, service discovery is a core functionality to locate the desired services. We propose an integrated semantic service discovery approach based on ontology, which provides matching of functional and non-functional properties. Functional properties are described in terms of operations, inputs, outputs, preconditions and effects, while non-functional properties ...

For SemEval-2013 Task 2, A and B (Sentiment Analysis in Twitter), we use a rulebased pattern matching system that is based on an existing ‘Domain Independent’ sentiment taxonomy for English, essentially a highly phrasal sentiment lexicon. We have made some modifications to our set of rules, based on what we found in the annotated training data that was made available for the task. The resulting...

This paper presents a description of the participation of the UPC-USMBA team in the SemEval 2017 Task 3, subtask D, Arabic. Our approach for facing the task is based on a performance of a set of atomic classifiers (lexical string-based, vectorial, and rulebased) whose results are later combined. Our primary submission has obtained good results: 2nd (from 3 participants) in MAP, and 1st in in ac...

Pattern recognition systems are widely used in a host of different fields. Due to some reasons such as lack of knowledge about a method based on which the best classifier is detected for any arbitrary problem, and thanks to significant improvement in accuracy, researchers turn to ensemble methods in almost every task of pattern recognition. Classification as a major task in pattern recognition,...

We examine several formulations of fuzzy rule selection for the design of fuzzy rulebased classification systems in our twostage approach. The first stage is heuristic rule extraction where a large number of candidate rules are extracted. The second stage is evolutionary rule selection where fuzzy rule-based systems are constructed by choosing a small number of candidate rules. Rule selection i...

This paper presents Segue, a hybrid surface natural language generator that employs case-based paradigm but performs rulebased adaptations. It uses an annotated corpus as its knowledge source and employs grammatical rules to construct new sentences. By using adaptation-guided retrieval to select cases that can be adapted easily to the desired output, Segue simplifies the process and avoids gene...

Clinical TempEval 2017 (SemEval 2017 Task 12) addresses the task of crossdomain temporal extraction from clinical text. We present a system for this task that uses supervised learning for the extraction of temporal expression and event spans with corresponding attributes and narrative container relations. Approaches include conditional random fields and decision tree ensembles, using lexical, s...

WUENIC is a rule-based system implemented as a logic program, developed by WHO and UNICEF for estimating global, country by country, infant immunization coverage. It possesses many of the characteristics of rulebased legislation, facilitating decisions that are consistent, transparent and replicable. In this paper, we focus on knowledge representation and problemsolving issues, including the us...

The goal of this paper is to develop a theory of content for vague language. My proposal is based on the following three theses: (1) language-mastery is not rulebased—it involves a certain kind of decision-making; (2) a theory of content is to be thought of instrumentally—it is a tool for making sense of our linguistic practice; and (3) linguistic contents are only locally defined—they are only...

This paper proposes a method of sentence-style conversion for generating spontaneous Japanese speech in a text-to-speech synthesis system. Since written language is different from spoken language linguistically, the speech by direct reading of written Japanese texts might be unnatural. The method takes a fully rulebased approach to convert the sentence style and to complement sentences, which a...