D. Bracewell, Marc T. Tomlinson, Ying Shi, Jeremy Bensley, Mary Draper
{"title":"Who's Playing Well with Others: Determining Collegiality in Text","authors":"D. Bracewell, Marc T. Tomlinson, Ying Shi, Jeremy Bensley, Mary Draper","doi":"10.1109/ICSC.2011.48","DOIUrl":null,"url":null,"abstract":"In this paper, we present a framework for determining the interpersonal relations exhibited between two individuals. Specifically, we focus on recognizing the presence or absence of collegiality in discussion threads and dialogues. Collegiality results from the existence of harmonious relationships irrespective of the group's power structure. We have identified four psychologically-motived language uses that indicate collegiality. These language uses are identified in text with the use of a set of attributes that are assigned to each language use and can be extracted using grammars and lexicons. Through the attributes, language uses, and dialogue features, a model can be learned that can determine whether two people are collegial, uncollegial, or whether there is not enough information. Using multi-class logistic regression, we obtain an overall micro-averaged F-measure of 83.3%.","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"108 8‐10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Fifth International Conference on Semantic Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSC.2011.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
In this paper, we present a framework for determining the interpersonal relations exhibited between two individuals. Specifically, we focus on recognizing the presence or absence of collegiality in discussion threads and dialogues. Collegiality results from the existence of harmonious relationships irrespective of the group's power structure. We have identified four psychologically-motived language uses that indicate collegiality. These language uses are identified in text with the use of a set of attributes that are assigned to each language use and can be extracted using grammars and lexicons. Through the attributes, language uses, and dialogue features, a model can be learned that can determine whether two people are collegial, uncollegial, or whether there is not enough information. Using multi-class logistic regression, we obtain an overall micro-averaged F-measure of 83.3%.