Domain Named Entity Recognition and Applications in Test and Evaluation

Abstract

A great amount of information in Test and Evaluation (T&E) is presented in the form of multi-source heterogeneous data such as performance test, combat trial and during-service assessment. Despite the existence of numerous and well-versed Domain Named Entity Recognition (DNER) methods in the general field, it still remains scarcely resourced. In this paper we survey novel methods that have recently been introduced for such DNER tasks. In addition, we construct the dataset for further NER tasks in the field of Test and Evaluation. Finally, our work lays the cornerstone for the development of subsequent NER in this field.