Camille Albert


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Risk Analysis and Prevention: LELIE, a Tool dedicated to Procedure and Requirement Authoring
Flore Barcellini | Camille Albert | Corinne Grosse | Patrick Saint-Dizier
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

In this paper, we present the first phase of the LELIE project. A tool that detects business errors in technical documents such as procedures or requirements is introduced. The objective is to improve readability and to check for some elements of contents so that risks that could be entailed by misunderstandings or typos can be prevented. Based on a cognitive ergonomics analysis, we survey a number of frequently encountered types of errors and show how they can be detected using the discourse analysis platform. We show how errors can be annotated, give figures on error frequencies and analyze how technical writers perceive our system.

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LELIE: A Tool Dedicated to Procedure and Requirement Authoring
Camille Albert | Flore Barcellini | Corinne Grosse | Patrick Saint-Dizier
Proceedings of the Second Workshop on Computational Linguistics and Writing (CL&W 2012): Linguistic and Cognitive Aspects of Document Creation and Document Engineering


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Introducing Argumention in Opinion Analysis: Language and Reasoning Challenges
Leila Amgoud | Florence Bannay | Charlotte Costedoat | Patrick Saint-Dizier | Camille Albert
Proceedings of the Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2011)


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Annotating language errors in texts: investigating argumentation and decision schemas
Camille Albert | Laurie Buscail | Marie Garnier | Arnaud Rykner | Patrick Saint-Dizier
Proceedings of the Third Linguistic Annotation Workshop (LAW III)