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A multilingual FrameNet-based grammar and lexicon for controlled natural language

Forskningsöversiktsartikel
Författare Normunds Gruzitis
Dana Dannélls
Publicerad i Language resources and evaluation
Volym 51
Nummer/häfte 1
Sidor 37–66
ISSN 1574-020X
Publiceringsår 2017
Publicerad vid Institutionen för svenska språket
Institutionen för data- och informationsteknik (GU)
Sidor 37–66
Språk en
Länkar dx.doi.org/10.1007/s10579-015-9321-...
Ämnesord FrameNet, Grammatical Framework, Multilinguality Natural Language Generation, Controlled Natural Language.
Ämneskategorier Språkteknologi (språkvetenskaplig databehandling)

Sammanfattning

Berkeley FrameNet is a lexico-semantic resource for English based on the theory of frame semantics. It has been exploited in a range of natural language processing applications and has inspired the development of framenets for many languages. We present a methodological approach to the extraction and generation of a computational multilingual FrameNet-based grammar and lexicon. The approach leverages FrameNet-annotated corpora to automatically extract a set of cross-lingual semantico-syntactic valence patterns. Based on data from Berkeley FrameNet and Swedish FrameNet, the proposed approach has been implemented in Grammatical Framework (GF), a categorial grammar formalism specialized for multilingual grammars. The implementation of the grammar and lexicon is supported by the design of FrameNet, providing a frame semantic abstraction layer, an interlingual semantic application programming interface (API), over the interlingual syntactic API already provided by GF Resource Grammar Library. The evaluation of the acquired grammar and lexicon shows the feasibility of the approach. Additionally, we illustrate how the FrameNet-based grammar and lexicon are exploited in two distinct multilingual controlled natural language applications. The produced resources are available under an open source license.

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