The Hebrew FrameNet Project
What it is about
The authors describe a Hebrew FrameNet built as a semi-automatic translation of English FrameNet 1.5.1. They chose the 200 frames that cover the most frequent English words, and found that English lexical units cover about 66% of their Hebrew corpus of 1.75M sentences. Dictionary translations (about 49K pairs) speed up the choice of Hebrew lexical units, and an annotation tool with morphological search helps pick examples. The resource then has 167 frames and about 3K lexical units (43% verbs, 46% nouns), but only 423 annotated sentences. Automatic projection of annotations from Hebrew Wikipedia reaches only about 10% fully correct, against about 33% reported for English, mainly because of parser errors and lexical ambiguity.
Ideas
- I1. Pronoun suffixes on verbs carry roles: in the example 'akhalti' ("I ate") the suffix is the Agent, and the authors mark it as a null-instantiated role rather than a token. A rule in the Hebrew verb analysis (05. The verb: system, binyanim, tense and use) can give the suffix its role in
prag, with a test on the annotated examples. - I2. Beinoni forms that denote an activity (the paper's "climbing" versus "mountain climber") are frame-evoking; the tagger should mark the activity reading as predicate, and leave the noun reading alone.
- I3. Check any role projection against a gold sample before use. The paper's projections are roughly 10% correct; its error analysis shows that weighting lexical similarity above syntax creates false frames. A measured precision on 100 sentences should gate any Mova role transfer.
For Mova
I1 and I2 go into 05. The verb: system, binyanim, tense and use, and I1 also needs the role logic in prag. I3 is a measure for prag role assignments, checked against a gold sample from treebanks/he/. The text is summary-only, so none of its data goes into the repo.
Cite
@inproceedings{hayoun2016hebrew,
title = {{The Hebrew FrameNet Project}},
author = {Hayoun, Avi and Elhadad, Michael},
booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)},
year = {2016},
url = {https://aclanthology.org/L16-1688/}
}References
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