Text Recognition for 2D Bridge Plans Using OCR‐Algorithms

Named Entity Recognition in Persian Text using Deep Learning

Named entities recognition is a fundamental task in the field of natural language processing. It is also known as a subset of information extraction. The process of recognizing named entities aims at finding proper nouns in the text and classifying them into predetermined classes such as names of people, organizations, and places. In this paper, we propose a named entity recognizer which benefi...

System for Evaluating Bridge Construction Plans

At present, there are no tools available for objectively evaluating the effectiveness of a bridge construction plan (BCP). As a result, bridge designers predominantly evaluate BCPs by considering only the short-term economics (i.e., construction costs). Other significant issues for project success, like safety, accessibility, and impact on local community, are evaluated based on subjective judg...

Recognizing Text Plans

Traditional plan recognition systems try to recognize a user's domain plan from the user's queries. In contrast, the Interactive Discourse Planner (IDP) tries to recognize an expansion of its own text plan from the user's queries. During interaction, IDP builds a text plan in reaction to user feedback that it uses as the discourse context. IDP uses this text plan to analyze user questions for i...

Integrating Text Plans for Conciseness and Coherence

Our experience with a critiquing system shows that when the system detects problems with the user’s performance, multiple critiques are often produced. Analysis of a corpus of actual critiques revealed that even though each individual critique is concise and coherent, the set of critiques as a whole may exhibit several problems that detract from conciseness and coherence, and consequently assim...

Recognizing Text Plans to Use