Current stance detection models predominantly rely on text analysis, often overlooking the wealth of information embedded in user profiles. This oversight is largely attributed to the scarcity of stance detection datasets that encompass detailed user profiles. Bridging this gap, we have created the first dataset for Chinese stance detection that includes user profile information (PC-STANCE). The dataset contains 31,033 Chinese microblogs annotated with stances toward 8 targets, as well as user gender, age, and location information. We have conducted a detailed analysis of the dataset and performed extensive empirical experiments using classic neural network models. Our experiments achieve state-of-the-art results, surpassing several large language models like Llama and ChatGPT. This confirms the effectiveness of integrating user profile information in stance detection and underscores the challenging nature of the dataset. To facilitate further research in stance detection, we have made the dataset publicly available. 1

An ad hoc data format is any nonstandard, semi-structured data format for which robust data processing tools are not easily available. In this paper, we present ANNE, a new kind of markup language designed to help users generate documentation and data processing tools for ad hoc text data. More specifically, given a new ad hoc data source, an ANNE programmer edits the document to add a number of simple annotations, which serve to specify its syntactic structure. Annotations include elements that specify constants, optional data, alternatives, enumerations, sequences, tabular data, and recursive patterns. The ANNE system uses a combination of user annotations and the raw data itself to extract a context-free grammar from the document. This context-free grammar can then be used to parse the data and transform it into an XML parse tree, which may be viewed through a browser for analysis or debugging purposes. In addition, the ANNE system generates a PADS/ML description, which may be saved as lasting documentation of the data format or compiled into a host of useful data processing tools.