Lotfi Bellalem's research while affiliated with University of Lorraine and other places

Publications (8)

Book
Within a globalized world, the need for linguistic support is increasing every day. Linguistic information, and in particular multilingual textual information, plays a significant role for describing digital content: information describing pictures or video sequences, general information presented to the user graphically or via a text-to-speech pro...
Article
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This paper describes the Synalp-Empathic system that competed in SemEval-2014 Task 9B Sentiment Analysis in Twitter. Our system combines syntactic-based valence shifting rules with a supervised learning algorithm (Sequential Minimal Optimization). We present the system, its features and evaluate their impact. We show that both the valence shifting...
Article
Full-text available
Virtual worlds are a new way for people to communicate, to meet and to socialize. They are now pushing the boundaries of multilingual communication. The need for multilingual support is increasing every day making virtual worlds a very good example of fields of development where applications supporting multilinguality are becoming an absolute neces...
Article
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Many of today's applications embed textual chat interfaces or work with multilingual textual information. The Multilingual Information Framework (MLIF) [ISO DIS 24616] is being designed in order to fulfill the multilingual needs of today's applications. Within our research activity for the MLIF standard, we developed the Multilingual-Assisted Chat...
Conference Paper
Nowadays, many applications embed textual chat interfaces or work with multilingual textual information. The Multilingual-Assisted Chat Interfaceis an extension of the usual chat interfaces which aims at easing communication and language learning in virtual worlds. We developed it in the frame of the ITEA2 Metaverse1 Project [ITEA2 07016], using th...
Article
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In this paper we discuss ways to handle multilingual linguistic information within the framework of the SEMbySEM project (http://www.sembysem.org, a research project within the European ITEA2 programme) The SEMbySEM project aims at defining tools and standards for the supervision and management of complex and dynamic systems by using a semantic abs...
Article
Full-text available
Virtual Worlds may become primary tools (with video and text secondary) for learning many aspects of history, for acquiring new skills, for job assessment, and for many of our most cost-effective and productive forms of collaboration (Metaverse Roadmap Repport, 2007). We propose a non-intrusive and dynamic e-learning-oriented scenario based on text...

Citations

... Adjectives and nouns can also express modality (a probable cause; It remains a possibility). A general consensus in sentiment analysis is that nonveridicality and irrealis result in the unreliability of any expression of sentiment in the sentences containing it (Benamara et al. 2012;Denis et al. 2014;Morante and Sporleder 2012b;Taboada et al. 2011;Wilson et al. 2009). Consider the effect of the intensional verb thought and the modal would in Example (9) and the modal plus question in (10), which completely discount any positive evaluation that may be present in good and more suitable. ...
... The motivation for using Metaverse in natural science, mathematics, and engineering is because it can provide technical support for the discipline, such as providing 3D modeling computer programs for courses (Sourin, 2017), helping students to establish connections between experiments and virtual objects, and providing autonomous tutoring systems based on user interaction data mining (Pereira et al., 2015). In arts and humanities, Metaverse was frequently used for language learning as it can help people communicate with people of different languages in virtual worlds and provide new possibilities for learning foreign languages (Cruz-Lara et al., 2010). Finally, Metaverse was widely used in the field of education because combining the virtual world with physical classrooms can create new learning possibilities for collaborative, cooperative, and problem-based learning (Araya & Avila, 2018). ...