This paper describes details of NTOU Chinese spelling check system participating in CLP2014 Bakeoff. Confusion sets were expanded by using two language resources, Shuowen and Four-Corner codes. A new method to find spelling errors in legal multi-character words was proposed. Comparison of sentence generation probabilities is the main information for error detection and correction. A rulebased c...

This paper describes the NILC USP system that participated in SemEval-2013 Task 2: Sentiment Analysis in Twitter. Our system adopts a hybrid classification process that uses three classification approaches: rulebased, lexicon-based and machine learning approaches. We suggest a pipeline architecture that extracts the best characteristics from each classifier. Our system achieved an Fscore of 56....

We describe a multiclass text classification system for formatted text messages contained in the Rich Text Format fields of a structured database of military documents. This system uses a Part-Of–Speech tagger and a RuleBased Classifier to classify 80 different types of formatted messages.

The identification and classification of the spine deformity play an important role when considering surgical planning for adolescent patients with idiopathic scoliosis. The subject of this article is the Lenke classification of scoliotic spines using Cobb angle measurements. The purpose is two-fold: (1) design a rulebased diagram to assist clinicians in the classification process and (2) inves...

conjunctive rules between discrete input evidence variables and output class variables. These n,tles are then mapped onto the weights and nodes of a feedforward neural network resulting in a directly specified architecture. The network acts as parallel Bayesian classifier, but more importantly, can also output posterior probability estimates of the class variables. Empirical tests on a number o...

One of the most important challenges in developing problem solving methods is to combine and synergistically utilize general and specific knowledge. This paper presents one possible way of performing this integration that might be generally described as follows: "To solve a problem, first try to use the conventional rulebased approach. If it does not work, try to find a similar problem you have...

In this paper we have proposed an evolutionary algorithm to induct fuzzy classification rules. The algorithm uses an ant colony optimization based local searcher to improve the quality of final fuzzy classification system. The proposed algorithm is performed on Intrusion Detection as a high-dimensional classification problem. Results show that the implemented evolutionary ACO-Based algorithm is...

This paper describes the first system for large-scale acquisition of subcategorization frames (SCFs) from English corpus data which can be used to acquire comprehensive lexicons for verbs, nouns and adjectives. The system incorporates an extensive rulebased classifier which identifies 168 verbal, 37 adjectival and 31 nominal frames from grammatical relations (GRs) output by a robust parser. The...

In the biomedical literature the gene names tend to be used to refer to biomedical entities other than genes. Therefore, when performing information extraction tasks it is necessary to distinguish between all such biomedical entities. Our approach consists of training a Maximum Entropy classifier for this task using a large automatically-created training corpus, as opposed to manually annotated...