The Named Entity Recognition (NER) task has been garnering significant attention in NLP as it helps improve the performance of many natural language processing applications. In th...
This paper proposes an unsupervised learning model for classifying named entities. This model uses a training set, built automatically by means of a small-scale named entity dicti...
Formulating and executing queries over distributed, autonomous and heterogeneous resources is an important research area. The advent of the Internet and the Web and their inherent...
—In many search domains, both contents and searches are frequently tied to named entities such as a person, a company or similar. An example of such a domain is a news archive. O...
People as news subjects carry rich semantics in broadcast news video and therefore finding a named person in the video is a major challenge for video retrieval. This task can be ac...
Jun Yang 0003, Ming-yu Chen, Alexander G. Hauptman...