State-of-the-Art Semantic Resources Development in Multi-language NLP
Explore a collaborative project focusing on developing semantic resources for English, Spanish, Italian, and Czech using Collaborative Parsing Architecture (CPA). The project aims to enhance NLP semantic and syntactic parsers, utilizing innovative models and tasks such as phrase sense disambiguation, metonymy resolution, and more.
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Presentation Transcript
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; 1
Context |European Collaboration/Partnership 2
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
Tasks Phrase sense disambiguation Phrase sense discrimination Metonymy resolution (including coercion) Figurative language (metaphor) resolution Ontology-driven textual inference - RTE (Recognising Textual Entailment) 4
Resource Compilation Annotated diverse corpora - inter-annotator agreement Populated corpus-driven cross-linguistic ontology Inter-connected pattern dictionaries for all participant languages 5
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
Target Applications (2) Language teaching Natural phraseology Error correction Prioritization and choices for syllabus development Pedagogical Dictionaries 7
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