We describe a pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of linguistic structures from a plain natural-language corpus. Th...
Zach Solan, David Horn, Eytan Ruppin, Shimon Edelm...
Abstract. Model differences calculated by differencing algorithms contain the atomic changes made to a model. However, they do not capture the user’s intention of the modifica...
Detecting the tone or emotive content of a text message is increasingly important in many natural language processing applications. Examples of such applications are rating new bo...
Abstract. We present an intelligent information agent that uses semantic methods and natural language processing capabilites in order to gather tourist information from the WWW and...
Steffen Staab, Christian Braun, Ilvio Bruder, Antj...
GOD (General Ontology Discovery) is an unsupervised system to extract semantic relations among domain specific entities and concepts from texts. Operationally, it acts as a search...