The ArgumenText project creates argument mining technology for big and heterogeneous data and aims to evaluate its use in real-world applications. The technology mines and clusters arguments from a variety of textual sources for a large range of topics and in multiple languages.
Jun 16, 2020
Jun 2, 2020 � The ArgumenText project creates argument mining technology for big and heterogeneous data and aims to evaluate its use in real-world�...
The ArgumenText project creates argument mining technology for big and heterogeneous data and aims to evaluate its use in real-world applications.
Abstract: The ArgumenText project creates argument mining technology for big and heterogeneous data and aims to evaluate its use in real-world applications. The�...
The ArgumenText project creates argument mining technology for big and heterogeneous data and aims to evaluate its use in real-world applications.
The ArgumenText project creates argument mining technology for big and heterogeneous data and aims to evaluate its use in real-world applications.
ArgumenText: Argument Classification and Clustering in a Generalized Search Scenario. Datenbank-Spektrum, 2020. The ArgumenText project creates argument�...
Chris Stahlhut's 4 research works with 113 citations and 347 reads, including: ArgumenText: Argument Classification and Clustering in a Generalized Search�...
Classification and Clustering of Arguments with Contextualized ... ArgumenText: Argument Classification and Clustering in a Generalized Search Scenario.
This paper presents an argument retrieval system capable of retrieving sentential arguments for any given controversial topic, and finds that its system�...