Using Question-Answering Techniques to Implement a Knowledge-Driven Argument Mining Approach
نویسنده
چکیده
This short paper presents a first implementation of a knowledge-driven argument mining approach. The major processing steps and language resources of the system are surveyed. An indicative evaluation outlines challenges and improvement directions.
منابع مشابه
Extracting Answers from the Web Using Knowledge Annotation and Knowledge Mining Techniques
Aranea is a question answering system that extracts answers from the World Wide Web using knowledge annotation and knowledge mining techniques. Knowledge annotation, which utilizes semistructured database techniques, is effective for answering large classes of commonly occurring questions. Knowledge mining, which utilizes statistical techniques, can leverage the massive amounts of data availabl...
متن کاملExtracting Answers from the Web Using Data Annotation and Knowledge Mining Techniques
Aranea is a question answering system that extracts answers from the World Wide Web using knowledge annotation and knowledge mining techniques. Knowledge annotation, which utilizes semistructured database techniques, is effective for answering large classes of commonly occurring questions. Knowledge mining, which utilizes statistical techniques, can leverage the massive amounts of data availabl...
متن کاملLearning for Question Answering and Text Classi cation: Integrating Knowledge-Based and Statistical Techniques
It is a time consuming and diicult task for an individual , a group, or an organization to classify large collections of documents under a content-driven taxonomy. In this paper, we outline an approach for building a system which makes the classiication process the responsibility of the author of the document, thus allowing the author to explain classiications and verify (or correct) automated ...
متن کاملSemantic Argument Structure in DiscoursE: The SEASIDE project (project abstract)
The recently started SEASIDE project is funded for five years (20082013) by the German Excellence Initiative as part of Saarland University’s Cluster of Excellence on “Multimodal Computing and Interaction”. In the project, we aim to bring together two active research areas which both deal with “computing meaning” but currently stand more or less independently next to each other: discourse proce...
متن کاملA clustering approach for mineral potential mapping: A deposit-scale porphyry copper exploration targeting
This work describes a knowledge-guided clustering approach for mineral potential mapping (MPM), by which the optimum number of clusters is derived form a knowledge-driven methodology through a concentration-area (C-A) multifractal analysis. To implement the proposed approach, a case study at the North Narbaghi region in the Saveh, Markazi province of Iran, was investigated to discover porphyry ...
متن کامل