Pāriet uz galveno navigāciju Pāriet uz meklēšanu Pāriet uz galveno saturu

Extracting a bilingual semantic grammar from FrameNet-annotated corpora

  • University of Gothenburg

Zinātniskās darbības rezultāts: Nodaļa grāmatā/enciklopēdijā/konferences krājumāKonferences zinātniskais rakstsPētniecībakoleģiāli recenzēts

6 Atsauces (Scopus)

Kopsavilkums

We present the creation of an English-Swedish FrameNet-based grammar in Grammatical Framework. The aim of this research is to make existing framenets computationally accessible for multilingual natural language applications via a common semantic grammar API, and to facilitate the porting of such grammar to other languages. In this paper, we describe the abstract syntax of the semantic grammar while focusing on its automatic extraction possibilities. We have extracted a shared abstract syntax from ∼58, 500 annotated sentences in Berkeley FrameNet (BFN) and ∼3, 500 annotated sentences in Swedish FrameNet (SweFN). The abstract syntax defines 769 frame-specific valence patterns that cover 77, 8% examples in BFN and 74, 9% in SweFN belonging to the shared set of 471 frames. As a side result, we provide a unified method for comparing semantic and syntactic valence patterns across framenets.

OriģinālvalodaAngļu
Publikācijas avota nosaukumsProceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
RedaktoriNicoletta Calzolari, Khalid Choukri, Sara Goggi, Thierry Declerck, Joseph Mariani, Bente Maegaard, Asuncion Moreno, Jan Odijk, Helene Mazo, Stelios Piperidis, Hrafn Loftsson
IzdevējsEuropean Language Resources Association (ELRA)
Lapas2466-2473
Lapu skaits8
ISBN (Elektroniski)9782951740884
Publikācijas statussPublicēts - 2014
Pasākums9th International Conference on Language Resources and Evaluation, LREC 2014 - Reykjavik, Islande
Ilgums: 26 maijs 201431 maijs 2014

Publikāciju sērijas

NosaukumsProceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014

Konference

Konference9th International Conference on Language Resources and Evaluation, LREC 2014
Valsts/TeritorijaIslande
PilsētaReykjavik
Periods26/05/1431/05/14

Nospiedums

Uzziniet vairāk par pētniecības tēmām “Extracting a bilingual semantic grammar from FrameNet-annotated corpora”. Kopā tie veido unikālu nospiedumu.

Citēt šo