Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10427082" target="_blank" >RIV/00216208:11320/19:10427082 - isvavai.cz</a>

Result on the web

<a href="https://www.aclweb.org/anthology/W19-0417" target="_blank" >https://www.aclweb.org/anthology/W19-0417</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles

Original language description

We describe a transfer method based on annotation projection to develop a dependency-based semantic role labeling system for languages for which no supervised linguistic information other than parallel data is available. Unlike previous work that presumes the availability of supervised features such as lemmas, part-of-speech tags, and dependency parse trees, we only make use of word and character features. Our deep model considers using character-based representations as well as unsupervised stem embeddings to alleviate the need for supervised features. Our experiments outperform a state-of-the-art method that uses supervised lexico-syntactic features on 6 out of 7 languages in the Universal Proposition Bank.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů