Roser Morante


2020

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Annotating Perspectives on Vaccination
Roser Morante | Chantal van Son | Isa Maks | Piek Vossen
Proceedings of the 12th Language Resources and Evaluation Conference

In this paper we present the Vaccination Corpus, a corpus of texts related to the online vaccination debate that has been annotated with three layers of information about perspectives : attribution, claims and opinions. Additionally, events related to the vaccination debate are also annotated. The corpus contains 294 documents from the Internet which reflect different views on vaccinations. It has been compiled to study the language of online debates, with the final goal of experimenting with methodologies to extract and contrast perspectives in the framework of the vaccination debate.

2018

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Scoring and Classifying Implicit Positive Interpretations : A Challenge of Class Imbalance
Chantal van Son | Roser Morante | Lora Aroyo | Piek Vossen
Proceedings of the 27th International Conference on Computational Linguistics

This paper reports on a reimplementation of a system on detecting implicit positive meaning from negated statements. In the original regression experiment, different positive interpretations per negation are scored according to their likelihood. We convert the scores to classes and report our results on both the regression and classification tasks. We show that a baseline taking the mean score or most frequent class is hard to beat because of class imbalance in the dataset. Our error analysis indicates that an approach that takes the information structure into account (i.e. which information is new or contrastive) may be promising, which requires looking beyond the syntactic and semantic characteristics of negated statements.

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Proceedings of the Workshop on Computational Semantics beyond Events and Roles
Eduardo Blanco | Roser Morante
Proceedings of the Workshop on Computational Semantics beyond Events and Roles

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Annotating Claims in the Vaccination Debate
Benedetta Torsi | Roser Morante
Proceedings of the 5th Workshop on Argument Mining

In this paper we present annotation experiments with three different annotation schemes for the identification of argument components in texts related to the vaccination debate. Identifying claims about vaccinations made by participants in the debate is of great societal interest, as the decision to vaccinate or not has impact in public health and safety. Since most corpora that have been annotated with argumentation information contain texts that belong to a specific genre and have a well defined argumentation structure, we needed to adjust the annotation schemes to our corpus, which contains heterogeneous texts from the Web. We started with a complex annotation scheme that had to be simplified due to low IAA. In our final experiment, which focused on annotating claims, annotators reached 57.3 % IAA.

2017

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Proceedings of the Workshop Computational Semantics Beyond Events and Roles
Eduardo Blanco | Roser Morante | Roser Saurí
Proceedings of the Workshop Computational Semantics Beyond Events and Roles

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Annotating Negation in Spanish Clinical TextsSpanish Clinical Texts
Noa Cruz | Roser Morante | Manuel J. Maña López | Jacinto Mata Vázquez | Carlos L. Parra Calderón
Proceedings of the Workshop Computational Semantics Beyond Events and Roles

In this paper we present on-going work on annotating negation in Spanish clinical documents. A corpus of anamnesis and radiology reports has been annotated by two domain expert annotators with negation markers and negated events. The Dice coefficient for inter-annotator agreement is higher than 0.94 for negation markers and higher than 0.72 for negated events. The corpus will be publicly released when the annotation process is finished, constituting the first corpus annotated with negation for Spanish clinical reports available for the NLP community.