The importance of web-based collaboration systems called Wikis has grown tremendously over the last years, e.g. Wikipedia, corporate wikis. As the usability of a wiki is initially very high, the amount of content grows very fast. A common drawback of wikis is however that the usability decreases with the increased content amount. The Wikulu - Self-Organizing Wikis project at the UKP Lab employs the latest Natural Language Processing (NLP) technologies to manage unstructured information, i.e. to structure the content in corporate Wikis. The objective of the project is thus to implement intelligent approaches to assist the user while creating, editing, or searching content. Wikulu should relieve the user of manual information management, leaving more room for productive work. Why is it called Wikulu? Kukulu is Hawaiian for to organize!
|Author||Christian Stab, Iryna Gurevych|
|Editor||Alessandro Moschitti, Bo Pang, Walter Daelemans|
|Publisher||Association for Computational Linguistics|
|Address||Stroudsburg, PA, USA|
|Book title||Conference on Empirical Methods in Natural Language Processing (EMNLP 2014)|
|Research Areas||Ubiquitous Knowledge Processing, UKP_reviewed, UKP_p_WIKULU, UKP_p_WIWEB, UKP_p_DKPro, UKP_s_DKPro_Core, UKP_s_DKPro_Lab, UKP_a_ArMin|
|Abstract||In this paper, we present a novel approach for identifying argumentative discourse structures in persuasive essays. The structure of argumentation consists of several components (i.e. claims and premises) that are connected with argumentative relations. We consider this task in two consecutive steps. First, we identify the components of arguments using multiclass classification. Second, we classify a pair of argument components as either support or non-support for identifying the structure of argumentative discourse. For both tasks, we evaluate several classifiers and propose novel feature sets including structural, lexical, syntactic and contextual features. In our experiments, we obtain a macro F1-score of 0.726 for identifying argument components and 0.722 for argumentative relations.|
We are always looking for students who are interested in Wikulu and want to help us with our programming and research tasks. Please contact us if you want to know more!
The Wikulu project builds upon cutting-edge fundamental NLP technologies developed at UKP Lab to solve real-life knowledge management problems. It builds upon several successful projects ongoing at the UKP Lab, such as:
The Wikulu - Self-Organizing Wikis project is funded by the Klaus Tschira Foundation.