## 4 Evaluation Metrics and Experimental Results
### Experimental Results and Analysis
#### 4.3.2 Analysis of Experimental Results
As the dataset is based on epidemic-related text data from Zhengzhou city, administrative regions, such as provinces, cities, towns, and villages, have relatively low occurrences. Consequently, the recognition performance of the corresponding entity labels \"XZQHS\", \"XZQHCS\", \"XZQHZ\", and \"XZQHX\" is comparatively lower. The parsing method for non-standard address text in Chinese exhibited an accuracy of 83.9% for standard placenames and 83.6% for non-standard placenames by integrating the CHTopoNER model with dynamic FSM (Tables 6 and 7). Compared with the approach integrating the CHTopoNER model with traditional FSM, the improvements were 8.0% and 57.1%, respectively; compared with the approach integrating the CHTopoNER model with bidirectional FSM, the improvements were 7.4% and 19.8%, respectively. Notably, the CHTopoNER model could only recognize entity labels starting with B or I but not those starting with E. Therefore, it was impossible to obtain a complete entity label starting with B and ending with E, so the dynamic FSM failed to correctly sort and combine all address elements recognized by the CHTopoNER model. Dynamic FSM was better than FSM and bidirectional FSM in parsing and sorting both standard and non-standard placenames (Tables 8-10). This is because FSM relies on the included keywords (such as province, city, county (district), and road), whereas text from the internet often includes incomplete descriptions of keywords and other information due to its non-standardized description. For standard addresses, the corresponding address element cannot be recognized if a keyword is not included in the FSM. For example, for Xinyuan Modern Cheng, No. 17 Qingfeng Street, Erqi District, Zhengzhou City, the keyword city was included in the state set of the FSM (Figure 6A). Therefore, the address elements of Zhengzhou were obtained. Subsequently, the next state was triggered. If the next state is District (County), Street can be triggered next, and so on. However, the keyword Cheng was not included during this process. Therefore, the FSM could only obtain the address elements on three levels: Zhengzhou City/Erqi District/Qingfeng Street. When processing standard addresses, the bidirectional FSM set (Figure 6B) was similar to the FSM set. For the dynamic FSM set, the entity label types of the address elements were obtained first. Subsequently, a new FSM set was obtained according to the initially defined general state set (Figure 6C). Finally, the text corresponding to the address element was parsed and sorted using the new FSM set. For non-standard addresses, such as No. 132 Wangwu Road, Zheng Shang Ming Zuan, with missing address element levels and a disordered structure, the initial state of the FSM state set (Figure 7A) was City. However, because City is not present in No. 132 Wangwu Road, Zheng Shang Ming Zuan, the next state could be triggered. Therefore, when the FSM processed No. 132 Wangwu Road, Zheng Shang Ming Zuan, it was regarded as an invalid address. In contrast, when the bidirectional FSM (Figure 7B) processed this address, the forward trigger could not happen due to the lack of the initial trigger keywords in this address. However, reverse triggering was enacted as the number was in the end state of the bidirectional FSM; therefore, No. 132 was obtained. Subsequently, the next state\(-\)Road\(-\)was triggered, thereby obtaining Wangwu Road, Zheng Shang Ming Zuan (JD1)/No. 132 (MP1). The working process of the dynamic finite state set was as follows. First, the entity label types of the address elements in \"No. 132 Wangwu Road, Zheng Shang Ming Zuan\" were obtained, including MP2, JD1, and MP1. Next, according to the initially defined general state set, a new finite state set was obtained (Figure 7C). Finally, according to the entity label indices of the address elements, the corresponding address text of the new finite state set Wangwu Road (JD1)/No. 132 (MP1)/Zheng Shang Ming Zuan (MP2) was obtained.