Recently, there has been an emphasis on creating shared resources for natural language processing applications. This has resulted in the development of high-quality tools and data...
Subcategorization is a kind of knowledge which can be considered as crucial in several NLP tasks, such as Information Extraction or parsing, but the collection of very large resou...
This paper presents a supervised method for the detection and extraction of Causal Relations from open domain text. First we give a brief outline of the definition of causation an...
This paper discusses findings of a frame-based contrastive text analysis, using the large-scale and precise descriptions of semantic frames provided by the FrameNet project (Baker...
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...