Dialogue Systems are becoming ubiquitous in various forms and shapes - virtual assistants(Siri, Alexa, etc.), chat-bots, customer sup-port, chit-chat systems just to name a few.The advances in language models and their publication have democratised advanced NLP.However, data remains a crucial bottleneck.Our contribution to this essential pillar isMATILDA, to the best of our knowledge the first multi-annotator, multi-language dialogue annotation tool. MATILDA allows the creation of corpora, the management of users, the annotation of dialogues, the quick adaptation of the user interface to any language and the resolution of inter-annotator disagreement. We evaluate the tool on ease of use, anno...
We present the Conversation Analysis Modeling Schema (CAMS), a novel dialogue labeling schema that c...
The annotation of texts and other material in the field of digital humanities and Natural Language P...
The TextAnnotator is a tool for simultaneous and collaborative annotation of texts with visual annot...
Every model is only as strong as the data that it is trained on. In this paper, we present a new dat...
The paper presents a project aiming at collecting, annotating and exploiting a dialogue corpus from ...
International audienceEvery model is only as strong as the data that it is trained on. In this paper...
For the AMITIS multilingual human-computer dialogue project [1], we have developed new methods for t...
We report an annotation experiment aiming at assessing the use of a single functional taxonomy of se...
International audienceIn this paper, we describe the organization and the implementation of the CAMO...
International audienceWe propose in this paper a broad-coverage approach for multimodal annotation o...
International audienceThe paper presents a project of the Laboratoire Parole et Langage which aims a...
This paper reviews nine available transcription and annotation tools, considering in particular the ...
In this paper, we describe the organization and the implementation of the CAMOMILE collaborative an...
The growing commercialisation and sophistication of spoken dialogue systems has increased the need f...
International audienceData-driven approaches in computational semantics are not common because there...
We present the Conversation Analysis Modeling Schema (CAMS), a novel dialogue labeling schema that c...
The annotation of texts and other material in the field of digital humanities and Natural Language P...
The TextAnnotator is a tool for simultaneous and collaborative annotation of texts with visual annot...
Every model is only as strong as the data that it is trained on. In this paper, we present a new dat...
The paper presents a project aiming at collecting, annotating and exploiting a dialogue corpus from ...
International audienceEvery model is only as strong as the data that it is trained on. In this paper...
For the AMITIS multilingual human-computer dialogue project [1], we have developed new methods for t...
We report an annotation experiment aiming at assessing the use of a single functional taxonomy of se...
International audienceIn this paper, we describe the organization and the implementation of the CAMO...
International audienceWe propose in this paper a broad-coverage approach for multimodal annotation o...
International audienceThe paper presents a project of the Laboratoire Parole et Langage which aims a...
This paper reviews nine available transcription and annotation tools, considering in particular the ...
In this paper, we describe the organization and the implementation of the CAMOMILE collaborative an...
The growing commercialisation and sophistication of spoken dialogue systems has increased the need f...
International audienceData-driven approaches in computational semantics are not common because there...
We present the Conversation Analysis Modeling Schema (CAMS), a novel dialogue labeling schema that c...
The annotation of texts and other material in the field of digital humanities and Natural Language P...
The TextAnnotator is a tool for simultaneous and collaborative annotation of texts with visual annot...