Gathering Statistics to Aspectually Classify Sentences with a Genetic Algorithm
نویسندگان
چکیده
This paper presents a method for large corpus analysis to semantically classify an entire clause. In particular, we use cooccurrence statistics among similar clauses to determine the aspectual class of an input clause. The process examines linguistic features of clauses that are relevant to aspectual classiication. A genetic algorithm determines what combinations of linguistic features to use for this task.
منابع مشابه
Gathering Statistics to Aspectually Classify Sentences with a Genetic Algorithm Proceedings of the Second International Conference on New Methods in Language Processing
This paper presents a method for large corpus analysis to semantically classify an entire clause. In particular, we use cooccurrence statistics among similar clauses to determine the aspectual class of an input clause. The process examines linguistic features of clauses that are relevant to aspectual classiication. A genetic algorithm determines what combinations of linguistic features to use f...
متن کاملResearch of Blind Signals Separation with Genetic Algorithm and Particle Swarm Optimization Based on Mutual Information
Blind source separation technique separates mixed signals blindly without any information on the mixing system. In this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. In these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. In order to evalu...
متن کاملResearch of Blind Signals Separation with Genetic Algorithm and Particle Swarm Optimization Based on Mutual Information
Blind source separation technique separates mixed signals blindly without any information on the mixing system. In this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. In these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. In order to evalu...
متن کاملارائه یک روش برچسب گذاری سیگنالهای مغزی بهمنظور طبقهبندی حالتهای مختلف بیهوشی
Aims and background: This study develops a computational framework for the classification of different anesthesia states, including awake, moderate anesthesia, and general anesthesia, using electroencephalography (EEG) signals and peripheral parameters. Materials and Methods: The proposed method proposes ...
متن کاملInvestigating Financial Crisis Prediction Power using Neural Network and Non-Linear Genetic Algorithm
Bankruptcy is an event with strong impacts on management, shareholders, employees, creditors, customers and other stakeholders, so as bankruptcy challenges the country both socially and economically. Therefore, correct prediction of bankruptcy is of high importance in the financial world. This research intends to investigate financial crisis prediction power using models based on Neural Network...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- CoRR
دوره cmp-lg/9610002 شماره
صفحات -
تاریخ انتشار 1996