Most natural language processing tasks require lexical semantic information. Automated acquisition of this information would thus increase the robustness and portability of NLP sy...
As language is fundamental to human activities, proficiency in other languages becomes important. Besides for developing abilities for communication, the knowledge is also a tool f...
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...
The need for process support in the context of web services has triggered the development of many languages, systems, and standards. Industry has been developing software solutions...
Performance of n-gram language models depends to a large extent on the amount of training text material available for building the models and the degree to which this text matches...