Automatic Acquisition of Paradigmatic Relations Using Iterated Co-occurrences
نویسندگان
چکیده
We introduce the notion of iterated co-occurrences, which can be obtained by performing the calculation of statistically significant cooccurrences not on sentence level, but on co-occurrence sets of previous calculations. The underlying mechanisms are explained in detail and we give reasons, why this iteration results in sets of semantically homogeneous words. These can be used for the automatic acquisition of paradigmatic relations in order to semi-automatically extend lexical-semantic word nets or thesauri, widening the acquisition bottleneck. A small evaluation for synset expansion for German language and some discussion conclude the work.
منابع مشابه
Automatic Annotation of Co-Occurrence Relations
We introduce a method for automatically labelling edges of word co-occurrence graphs with semantic relations. Therefore we only make use of training data already contained within the graph. Starting point of this work is a graph based on word co-occurrence of the German language, which is created by applying iterated co-occurrence analysis. The edges of the graph have been partially annotated b...
متن کاملAcquiring Hyponymy Relations from Web Documents
This paper describes an automatic method for acquiring hyponymy relations from HTML documents on the WWW. Hyponymy relations can play a crucial role in various natural language processing systems. Most existing acquisition methods for hyponymy relations rely on particular linguistic patterns, such as “NP such as NP”. Our method, however, does not use such linguistic patterns, and we expect that...
متن کاملAutomatic Concept-Based Query Expansion Using Weighted Transitive Part-Whole Relations
Ontologies as well as classification systems and thesauri consist of concepts and the paradigmatic semantic relations between them. Paradigmatic relations are document-independent relations used to model a domain of interest; in contrast to syntagmatic relations, which are merely based on the co-occurrence of concepts within single documents (Stock & Stock, 2008, pp. 68-70). Paradigmatic relati...
متن کاملTerm Extraction and Mining of Term Relations from Unrestricted Texts in the Financial Domain
In this paper, we present an unsupervised hybrid textmining approach to automatic acquisition of domain relevant terms and their relations. We deploy the TFIDFbased term classification method to acquire domain relevant terms. Further, we apply two strategies in order to learn lexico-syntatic patterns which indicate paradigmatic and domain relevant syntagmatic relations between the extracted ter...
متن کاملAutomatic Acquisition of Strategies by Co-evolutionary Learning
Co-evolutionary learning is a new learning approach emerged in recent years. It is designed to deal with dynamic learning tasks, i.e., the target to be learned changes over time. Such learning problems are particularly diicult to solve by traditional machine learning methods. This paper studies co-evolutionary learning, identiies its strength and weakness, and presents some experimental results...
متن کامل