@inproceedings{rodriguez-fernandez-etal-2016-example,
title = "Example-based Acquisition of Fine-grained Collocation Resources",
author = "Rodr{\'\i}guez-Fern{\'a}ndez, Sara and
Carlini, Roberto and
Anke, Luis Espinosa and
Wanner, Leo",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1367",
pages = "2317--2322",
abstract = "Collocations such as {``}heavy rain{''} or {``}make [a] decision{''}, are combinations of two elements where one (the base) is freely chosen, while the choice of the other (collocate) is restricted, depending on the base. Collocations present difficulties even to advanced language learners, who usually struggle to find the right collocate to express a particular meaning, e.g., both {``}heavy{''} and {``}strong{''} express the meaning {`}intense{'}, but while {``}rain{''} selects {``}heavy{''}, {``}wind{''} selects {``}strong{''}. Lexical Functions (LFs) describe the meanings that hold between the elements of collocations, such as {`}intense{'}, {`}perform{'}, {`}create{'}, {`}increase{'}, etc. Language resources with semantically classified collocations would be of great help for students, however they are expensive to build, since they are manually constructed, and scarce. We present an unsupervised approach to the acquisition and semantic classification of collocations according to LFs, based on word embeddings in which, given 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.",
}
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<abstract>Collocations such as “heavy rain” or “make [a] decision”, are combinations of two elements where one (the base) is freely chosen, while the choice of the other (collocate) is restricted, depending on the base. Collocations present difficulties even to advanced language learners, who usually struggle to find the right collocate to express a particular meaning, e.g., both “heavy” and “strong” express the meaning ‘intense’, but while “rain” selects “heavy”, “wind” selects “strong”. Lexical Functions (LFs) describe the meanings that hold between the elements of collocations, such as ‘intense’, ‘perform’, ‘create’, ‘increase’, etc. Language resources with semantically classified collocations would be of great help for students, however they are expensive to build, since they are manually constructed, and scarce. We present an unsupervised approach to the acquisition and semantic classification of collocations according to LFs, based on word embeddings in which, given 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.</abstract>
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%0 Conference Proceedings
%T Example-based Acquisition of Fine-grained Collocation Resources
%A Rodríguez-Fernández, Sara
%A Carlini, Roberto
%A Anke, Luis Espinosa
%A Wanner, Leo
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F rodriguez-fernandez-etal-2016-example
%X Collocations such as “heavy rain” or “make [a] decision”, are combinations of two elements where one (the base) is freely chosen, while the choice of the other (collocate) is restricted, depending on the base. Collocations present difficulties even to advanced language learners, who usually struggle to find the right collocate to express a particular meaning, e.g., both “heavy” and “strong” express the meaning ‘intense’, but while “rain” selects “heavy”, “wind” selects “strong”. Lexical Functions (LFs) describe the meanings that hold between the elements of collocations, such as ‘intense’, ‘perform’, ‘create’, ‘increase’, etc. Language resources with semantically classified collocations would be of great help for students, however they are expensive to build, since they are manually constructed, and scarce. We present an unsupervised approach to the acquisition and semantic classification of collocations according to LFs, based on word embeddings in which, given 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.
%U https://aclanthology.org/L16-1367
%P 2317-2322
Markdown (Informal)
[Example-based Acquisition of Fine-grained Collocation Resources](https://aclanthology.org/L16-1367) (Rodríguez-Fernández et al., LREC 2016)
ACL
- Sara Rodríguez-Fernández, Roberto Carlini, Luis Espinosa Anke, and Leo Wanner. 2016. Example-based Acquisition of Fine-grained Collocation Resources. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2317–2322, Portorož, Slovenia. European Language Resources Association (ELRA).