Automated learning of appraisal extraction patterns
نویسندگان
چکیده
This paper describes a grammatically motivated system for extracting opinionated text. A technique for extracting appraisal expressions has been described in previous work, using manually constructed syntactic linkages to locate targets of the opinions. The system extracts attitudes using a general lexicon—and some candidate targets using a domain specific lexicon—and finds additional targets using the syntactic linkages. In this paper, we discuss a technique for automatically learning the syntactic linkages from a list of all extracted attitudes and the list of candidate targets. The accuracy of the new learned linkages is comparable to the accuracy of the old manual linkages.
منابع مشابه
Automated Detection of Multiple Sclerosis Lesions Using Texture-based Features and a Hybrid Classifier
Background: Multiple Sclerosis (MS) is the most frequent non-traumatic neurological disease capable of causing disability in young adults. Detection of MS lesions with magnetic resonance imaging (MRI) is the most common technique. However, manual interpretation of vast amounts of data is often tedious and error-prone. Furthermore, changes in lesions are often subtle and extremely unrepresentati...
متن کاملLearning-assisted automated planning: review, appraisal, and prospects
This paper reports on a extensive survey of research work related to machine learning as applied to automated planning over the past 30 years. Major research contributions are characterized broadly by learning method and then into descriptive subcategories. Survey results reveal learning techniques that have been extensively applied and a number that have received scant attention. We extend the...
متن کاملFuzzy sets in machine learning and data mining
Machine learning, data mining, and several related research areas are concerned with methods for the automated induction of models and the extraction of interesting patterns from empirical data. Automated knowledge acquisition of that kind has been an essential aspect of artificial intelligence since a long time and has more recently also attracted considerable attention in the fuzzy sets commu...
متن کاملTransformation-Based Information Extraction Using Learned Meta-rules
Information extraction (IE) is a form of shallow text understanding that locates specific pieces of data in natural language documents. Although automated IE systems began to be developed using machine learning techniques recently, the performances of those IE systems still need to be improved. This paper describes an information extraction system based on transformation-based learning, which u...
متن کاملExploring the Patterns of Evaluative Language in Physics Blurbs: The Appraisal Strategies in Focus
The current study qualitatively examined blurbs in the discipline of physics which is perceived to be less infused with evaluative resources and more objective and impersonal in its textual argumentation. The study followed the appraisal framework proposed by Martin and White (2005) to see how interpersonal meaning is textually constructed in blurbs. Findings indicated that writers of the blurb...
متن کامل