TEXT-MESS 2.0 – The New Digital Media Challenges Facing Human Language Technologies

The current Information Society has altered the way communicative interaction occurs between humans. Unlike the mainstream media (press, radio and television), the new tools for disseminating information enable users to be not only consumers, but also the producers of their own messages. These new messages are building up day by day, making up the so-called Web 2.0, the largest communication and collaborative platform in history. An upshot of this is the large body of digital information that has become available, encompassing a blend of multiple languages (multilingualism), presentation formats (multimodality), language registers with varying degrees of ritualism (formal/informal) and specialisation, propagated from different subjective attitudes and from different spatial and temporal situations which have to be analysed and understood by intelligent systems in order to be suitably processed by organisations and individuals.

The overall aim of the project centres on the study, development and experimentation with different techniques and systems based on Human Language Technologies (HLT) for developing the next generation of intelligent digital information processing systems (modelling, retrieval, processing, comprehension and detection), in order to meet the present challenges posed by digital media. In this new scenario, systems have to incorporate the reasoning capability to ascertain the subjectivity of information in all contexts (spatial, temporal and emotional), while analysing the various dimensional uses (multilingualism, multimodality and register). In order to achieve this overall objective, the following courses of action are proposed:

  • Meeting the new challenges of digital media by creating, adapting and improving resources, techniques and tools for modelling current digital language via machine learning approximations. This will involve studying the various language registers, multilingualism, multimodality and spatial, temporal and emotional contexts.

  • Developing intelligent information processing systems (modelling, retrieval, processing, comprehension and detection), geared to the new communication formats, capable of interpreting and assessing the context of the message.

  • Integrating HLT resources, tools and systems developed and compiled to form an intelligent information processing metasystem, the validity of which will be demonstrated in the scenario of specific usage of competitive intelligence in the socio-economic sphere.

  • Participating in and promoting activities related to project lines of research, in campaigns, conferences, workshops, seminars and thematic networks.

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