Abstract. Biological research papers are replete with speculative sentences. We present the BioExcom rule-based system, which detects speculations in biomedical literature. Furthermore, it enables to distinguish automatically between prior and new speculations in the analyzed paper. BioExcom is based on the Contextual Exploration processing (hierarchical research of linguistic surface markers with the EXCOM computational platform). To accomplish this task, BioExcom uses also specific linguistic resources established by concise semantic analysis performed by a biologist and a linguist. Our work shows that it is possible to detect and categorize speculative sentences without computational deep linguistic analyses. This work could be useful for biologists who are interested by finding new hypothesis in literature.
Abstract.We present an analysis of the linguistic markers of the enunciative modalities in direct reported speech, in a multilingual framework concerning Arabic and French. Furthermore, we present a platform for automatic annotation of semantic relations, based on the Contextual Exploration method. This platform allows the automatic annotation and categorisation of quotational segments in both languages, exploiting a semantic map based on the notion of speaker commitment in enunciation.
With rapidly growing Arabic online sources aimed to encourage people's discussions concerning personal, public or social issues (news, blogs, forums…), there is a critical need in development of computational tools for the Enunciative Modalities analysis (attitude, opinion, commitment…). We present a new system that identifies and categorizes quotations in Arabic texts and proposes a strategy to determine whether a given speaker's quotation conveys some enunciative modalities and potentially its evaluation by the enunciator. Our system enables two query types search for keywords within the "categorized" quotations: searching for keywords in the part potentially containing the reported speech source (the reporting clause) or searching for keywords in the part concerning the topic (the reported clause). The annotation is performed with a rule-based system using the reporting markers' meaning. We applied our system to process a corpus of Arabic newspaper articles and we obtained promising results for the evaluation.
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