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FrameNet on the Way to Babel: Creating a Bilingual FrameNet Using Wiktionary as Interlingual Connection

Summary

FrameNet supports semantic role labeling, but comparable lexicons are scarce outside English. Earlier transfer methods either relied on parallel corpora, which suffer from polysemy errors, or on costly expert resources such as EuroWordNet. Wikipedia-based work covered almost only nouns. Hartmann and Gurevych instead use Wiktionary as a pivot between languages, since this crowd-built dictionary covers all parts of speech and offers translations into hundreds of languages.

First, they align FrameNet senses to English Wiktionary senses using the supervised, similarity-based technique of Niemann and Gurevych (2011), which allows zero or multiple matches. The translations attached to the aligned senses form FNWKxx, a lemma-level multilingual FrameNet. Second, they disambiguate these translations against the German Wiktionary, yielding FNWKde, a sense-level English–German lexicon enriched with German glosses, examples, register labels and synonyms.

The alignment reaches state-of-the-art quality, although fine-grained verb distinctions remain difficult. FNWKde holds up well against the manually annotated SALSA corpus. The approach offers an inexpensive, extensible route to FrameNet lexicons for less-resourced languages.

Key points

  • FNWKxx links FrameNet senses to lemmas in over 280 languages via Wiktionary translations. For example, one sense of complete collects 39 translations in 22 languages.
  • For German, FNWKxx contains 6,871 translations, compared with roughly 9,700 English lemma-POS pairs in FrameNet 1.5 (1,015 frames, 11,942 senses).
  • The alignment performs well for coarse-grained matching but weaker for verbs at fine granularity. The authors suggest that using subcategorization information could help.
  • As a by-product, English FrameNet gains several thousand new senses taken from Wiktionary.
  • Both resources are released in UBY-LMF format and can be accessed through the UBY Java API (ukp.tu-darmstadt.de/fnwkde/).

Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.

Fields: Linguistics & languages · Machine translation

Topics: Semantic role labeling

Cited by

11 papers of our library cite it (of the 140673 whose bibliographies we read); 1 of them have a page here, 10 not yet.

Cite

The paper itself, not this page. BibTeX from the library's record of the work.

@inproceedings{hartmann2013framenet,
  title = {{FrameNet on the Way to Babel: Creating a Bilingual FrameNet Using Wiktionary as Interlingual Connection}},
  author = {Hartmann, Silvana and Gurevych, Iryna},
  booktitle = {Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year = {2013},
  url = {https://aclanthology.org/P13-1134/}
}

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