Add to ORKGAbstract. In this article we present a method of extracting factual data (objects, their attributes and relation-ships) from natural language texts using ontological knowledge base model. Subject area is represented through ontological model extended by fuzzy links between object
Most work on ontology learning from text relies on unsupervised methods for relation extraction insp...
Abstract. Most work on ontology learning from text relies on un-supervised methods for relation extr...
Abstract 3 An ontology is a computer-processable collection of knowledge about the world. This thesi...
The paper presents an approach to extraction of facts from texts of documents. This approach is base...
Natural language text, from messages on social media to articles in newspapers, constitutes a signif...
The article describes a method of computer analysis of natural language texts and automatic filling ...
In this paper, we examine methods to automatically extract domain-specific knowledge from the food d...
The paper presents a preliminary investigation of potential methods for extracting semantic views of...
International audienceThe paper presents a preliminary investigation of potential methods for extrac...
International audienceWe present a system for entity identification in free text. Each entity extrac...
Masteroppgave i informasjons- og kommunikasjonsteknologi 2003 - Høgskolen i Agder, GrimstadFor the m...
It is proposed that the ontology of natural language should be enriched with a new kind of entities,...
We have implemented a novel approach for robust ontology design from natural language texts by combi...
This paper extracts facts using “micro-reading ” of text in contrast to approaches that extract comm...
Documents on the Internet are composed of several kinds of multimedia information when accessed for ...
Most work on ontology learning from text relies on unsupervised methods for relation extraction insp...
Abstract. Most work on ontology learning from text relies on un-supervised methods for relation extr...
Abstract 3 An ontology is a computer-processable collection of knowledge about the world. This thesi...
The paper presents an approach to extraction of facts from texts of documents. This approach is base...
Natural language text, from messages on social media to articles in newspapers, constitutes a signif...
The article describes a method of computer analysis of natural language texts and automatic filling ...
In this paper, we examine methods to automatically extract domain-specific knowledge from the food d...
The paper presents a preliminary investigation of potential methods for extracting semantic views of...
International audienceThe paper presents a preliminary investigation of potential methods for extrac...
International audienceWe present a system for entity identification in free text. Each entity extrac...
Masteroppgave i informasjons- og kommunikasjonsteknologi 2003 - Høgskolen i Agder, GrimstadFor the m...
It is proposed that the ontology of natural language should be enriched with a new kind of entities,...
We have implemented a novel approach for robust ontology design from natural language texts by combi...
This paper extracts facts using “micro-reading ” of text in contrast to approaches that extract comm...
Documents on the Internet are composed of several kinds of multimedia information when accessed for ...
Most work on ontology learning from text relies on unsupervised methods for relation extraction insp...
Abstract. Most work on ontology learning from text relies on un-supervised methods for relation extr...
Abstract 3 An ontology is a computer-processable collection of knowledge about the world. This thesi...