Samira Ellouze

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This paper presents a new automated method for evaluating the content of a text summary. The proposed method is based on a combination of features encompassing scores of content and others of linguistic quality. This method relies on a learning technique called linear regression. The objective of this combination is to predict the PYRAMID score from the(More)
The present paper introduces a new Multil-ing text summary evaluation method. This method relies on machine learning approach which operates by combining multiple features to build models that predict the human score (overall responsiveness) of a new summary. We have tried several single and " ensemble learning " classiers to build the best model. We have(More)
on advancing the state-of-the-art related to summarization and summary evaluation over different languages, genres and settings. We elaborate on the MultiLing focus in the next paragraphs. Multilingual summarization across genres and sources: Summarization has been receiving increasing attention during the last years. This is mostly due to the increasing(More)
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