Most of the international accreditation bodies in engineering education (e.g., ABET) and outcome-based educational systems have based their assessments on learning outcomes program objectives. However, mapping objectives (PEOs) to student (SOs) is a challenging time-consuming task, especially for new which applying ABET-EAC (American Board Engineering Technology American Technology—Engineering ...

The number of online documents has rapidly grown, and with the expansion Web, document analysis, or text become an essential task for preparing, storing, visualizing mining documents. texts generated daily on social media platforms such as Twitter, Instagram Facebook are vast unstructured. Most these come in form short need special analysis because suffers from lack information sparsity. Thus, ...

We present E2E, an end-to-end entity linking system that is designed for short and noisy text found in microblogs and text messages. Mining and extracting entities from short text is an essential step for many content analysis applications. By jointly optimizing entity recognition and disambiguation as a single task, our system can process short and noisy text robustly.

Short text classification, an important direction of the basic research natural language processing, has extensive applications. Its effect depends on feature extraction methods and representation methods. This paper proposed LTC_Block-based short classification model named ERNIE to classify Chinese texts extract semantics in corpus address polysemy problem text. In this model, LTC_Block, a dou...