Example-based acquisition of fine-grained collocational resources
| Autor: | Rodríguez Fernández, Sara, Carlini, Roberto, Espinosa-Anke, Luis, Wanner, Leo |
|---|---|
| Předmět: | |
| Zdroj: | Recercat. Dipósit de la Recerca de Catalunya instname |
| Popis: | Comunicació presentada a la Tenth International Conference on Language Resources and Evaluation, celebrada a Portoroz (Eslovènia) els dies 23 a 28 de maig 2016. Collocations such as heavy rain or make [a] decision, are combinations of two elements where one (the base) is freely chosen, while the/nchoice of the other (collocate) is restricted, depending on the base. Collocations present difficulties even to advanced language learners,/nwho usually struggle to find the right collocate to express a particular meaning, e.g., both heavy and strong express the meaning ‘intense’,/nbut while rain selects heavy, wind selects strong. Lexical Functions (LFs) describe the meanings that hold between the elements of/ncollocations, such as ‘intense’, ‘perform’, ‘create’, ‘increase’, etc. Language resources with semantically classified collocations would/nbe of great help for students, however they are expensive to build, since they are manually constructed, and scarce. We present an unsupervised/napproach to the acquisition and semantic classification of collocations according to LFs, based on word embeddings in which,/ngiven an example of a collocation for each of the target LFs and a set of bases, the system retrieves a list of collocates for each base and LF. The present work has been partially funded by the Spanish Ministry of Economy and Competitiveness (MINECO), through a predoctoral grant (BES-2012-057036) in the framework of the project HARenES (FFI2011-30219-C02-02), by the European Commission under the contract number H2020-RIA-645012, and by the ICT PhD program of Universitat Pompeu Fabra through a travel grant. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|