Add to ORKGInternational audienceThe paper introduces an annotation scheme for a political debate dataset which is mainly in the form of video, and audio annotations. The annotation contains various infor- mation ranging from general linguistic to domain specific information. Some are annotated with automatic tools, and some are manually annotated. One of the goals is to use the information to predict the categories of the answers by the speaker to the disruptions. A typology of such answers is proposed and an automatic categorization system based on a multimodal parametrization is successfully performed
One of the most recent trends in multimedia indexing is to represent data in terms of the social and...
In this paper, we present the first available corpus of Italian political interviews with multimodal...
Automatic analysis of social interactions attracts major attention in the computing community, but r...
International audienceThe paper introduces an annotation scheme for a political debate dataset which...
The paper introduces an annotation scheme for a political debate dataset which is mainly in the form...
International audienceThe interaction between Members of Parliament (MPs) is convention-based and ru...
International audienceThis work was conducted to analyze political debates, with a multimodal point ...
This dataset contains audio/transcripts from 5 US 2020 presidential debates annotated for argumentat...
Argumentation mining aims at extracting, analysing and modelling people’s arguments, but large, high...
We propose a study on multimodal argument mining in the domain of political debates. We collate and ...
International audienceThis data paper introduces an integrative and comprehensive method for the lin...
peer reviewedn this paper, we present the annotation guidelines we defined for annotating arguments...
We present a corpus comprising the first general election debate between Clinton and Trump (17,190 w...
International audienceWe propose in this paper a broad-coverage approach for multimodal annotation o...
Abstract. This paper presents a method for the valuation of discourses from different linguistic per...
One of the most recent trends in multimedia indexing is to represent data in terms of the social and...
In this paper, we present the first available corpus of Italian political interviews with multimodal...
Automatic analysis of social interactions attracts major attention in the computing community, but r...
International audienceThe paper introduces an annotation scheme for a political debate dataset which...
The paper introduces an annotation scheme for a political debate dataset which is mainly in the form...
International audienceThe interaction between Members of Parliament (MPs) is convention-based and ru...
International audienceThis work was conducted to analyze political debates, with a multimodal point ...
This dataset contains audio/transcripts from 5 US 2020 presidential debates annotated for argumentat...
Argumentation mining aims at extracting, analysing and modelling people’s arguments, but large, high...
We propose a study on multimodal argument mining in the domain of political debates. We collate and ...
International audienceThis data paper introduces an integrative and comprehensive method for the lin...
peer reviewedn this paper, we present the annotation guidelines we defined for annotating arguments...
We present a corpus comprising the first general election debate between Clinton and Trump (17,190 w...
International audienceWe propose in this paper a broad-coverage approach for multimodal annotation o...
Abstract. This paper presents a method for the valuation of discourses from different linguistic per...
One of the most recent trends in multimedia indexing is to represent data in terms of the social and...
In this paper, we present the first available corpus of Italian political interviews with multimodal...
Automatic analysis of social interactions attracts major attention in the computing community, but r...