Moon, S; Lee, G; Chi, S and Oh, H (2021) Automated construction specification review with named entity recognition using natural language processing. Journal of Construction Engineering and Management, 147(1): 04020147, ISSN 0733-9364
Abstract
When bidding on construction projects, contractors need to understand the specifications properly to manage project risks. However, specifications are mainly analyzed based on human cognitive abilities, which can take considerable time and can lead to errors due to misunderstanding. While efforts have been made to automate this process, that the existing academic efforts to automate the process have limitations. To develop an automated specification reviewing model applicable to various kinds of specifications, the authors propose information extraction frameworks consisting of five categories. In addition, a named entity recognition (NER) model was developed based on bidirectional long short-term memory architecture to extract information from text data automatically. The data set for model development comprised 56 construction specifications, which included a total of 4,659 sentences labeled according to five categories of information. Word2Vec was utilized to aconvert labeled text data to the form of numeric vectors to be input into the NER model. The NER model successfully assigned every word in the testing data to an appropriate category with a satisfactory performance of 0.919 precision and 0.914 recall. These results contribute to the automation of the construction specification review process. Although this research focused on road construction projects, the proposed information extraction framework can be applied to other types of construction projects.
| Item Type: | Article |
|---|---|
| Index terms: | specification, construction project, cognitive ability, bidding, model development, automated construction, road construction, automation, testing |
| Subjects: | cognitive psychology, civil engineering, automation and robotics, production management, contractual condition, bidding, professional practice, analytical methods |
| Topics: | Project Management, Research Practice, Engineering Principles, Procurement, Digital Applications, Contract Administration |
| Descriptive scope: | 2 PC |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here