1. 1 CPA: Where do we go from here? Research Institute for Information and Language Processing, University of Wolverhampton; UPF Barcelona; University of Pavia, Dept of Humanities; Masaryk University, Faculty of Informatics, Brno;

2. Context |European Collaboration/Partnership 2

3. Aims Develop state-of-the-art semantic resources using CPA for English, Spanish, Italian, Czech Contribute to the improvement of NLP semantic and syntactic parsers –Trade on the interaction between syntax and semantics –Possible model: Czech Verbalex 3

4. Tasks Phrase sense disambiguation Phrase sense discrimination Metonymy resolution (including coercion) Figurative language (metaphor) resolution Ontology-driven textual inference - RTE (Recognising Textual Entailment) 4

5. Resource Compilation Annotated diverse corpora - inter-annotator agreement Populated corpus-driven cross-linguistic ontology Inter-connected pattern dictionaries for all participant languages 5

6. Target Applications (1) Applications in computational linguistics –Machine translation –Idiomatic language generation –Information extraction –Textual entailment –Semi-automatic taxonomy induction –Contribution to text simplification 6

7. Target Applications (2) Language teaching –Natural phraseology –Error correction –Prioritization and choices for syllabus development –Pedagogical Dictionaries 7