Objective
WordNet is a lexical database of English where words are grouped into sets of synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. WordNet has turned out to be an indispensable resource in the processing of natural language, and based on its model similar lexical databases were created for many other languages.
However, constructing such databases takes many years of work and is very costly. On the other hand, methods for the automatic identification of semantically related words based on large text corpora have reached a considerable degree of maturity, with the results coming close to native speakers’ performance. The proposed project aims at further refining and extending these approaches, thereby making it possible to fully automatically generate a resource similar to WordNet. The developed system will be largely language independent and is to be applied to four European languages, namely English, French, German, and Spanish. The resulting databases will be made freely available on the internet.
This is an outline of the proposed methodology: Starting from a part-of-speech tagged corpus, various methods for computing related words, such as syntax-based or utilizing latent semantic analysis, are applied and the results are systematically compared. The quality is evaluated by comparing the simulation results to a recently published data set comprising the 200,000 human similarity judgments from the Princeton Evocation project, rather than to the well established but inadequate 80 item TOEFL dataset. To identify synsets, an algorithm for unsupervised word sense induction is applied, and each word in the vocabulary is assigned to one or (if ambiguous) several of the synsets. Finally, to determine the relations between words (e.g. synonymy, hyponymy, holonymy, meronymy), an adapted version of Peter Turney’s approach for computing relational similarities is developed and applied.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences internet
- natural sciences computer and information sciences databases
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2010-IEF
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
13284 Marseille
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.