Validation Issues induced by an Automatic Pre-Annotation Mechanism in the Building of Non-projective Dependency Treebanks
What it is about
The CDG Lab builds dependency treebanks with a grammar-based parser. Before parsing, an annotator fills a long selection form, which is slow. The authors replace it with an automatic pre-annotation mechanism that segments the sentence and proposes lexical units, but this creates new validation problems: some false dependencies get marked as correct temporarily so that work can continue elsewhere in the sentence. In a trial on the Sequoia treebank the annotators saved about 25% of their time. The segmentation step alone had 2.85% errors, which fell to 1.62% after a blacklist of 13 cases was added. The paper proposes changes to the tool to make pre-annotation safer.
Ideas
- I1. Pre-annotation audit in
annot: after a Haiku silver pass, count the silver arcs accepted without change in review and the arcs that later change; a high accepted-unchanged rate with many later changes marks the temporary-acceptance problem the paper describes, and it should trigger a re-check of those sentences. - I2. Segmentation error for the learner data: measure the share of sentences where
en/src/tok.rssplits or merges a token wrongly on a hand-checked sample of the learner and spoken data, with the paper's 2.85% and 1.62% as reference points. - I3. Partitive and contraction blacklist: check whether the cases the paper blacklists (de la, du, and similar) are covered by
en/src/tok.rsoren/seeds/lexicon, and count the sentences that change when those rules are added (dev set).
For Mova
The pre-annotation step is the annot crate, the gates are in tools/treeagree, and the tokenizer is en/src/tok.rs. The chapter that the ideas touch is 07. Punctuation, capital letters, abbreviations and numbers and, for the audit, 20. Syntax: the Universal Dependencies frame. Measure first: how many silver arcs in one annot batch are accepted without change and later revised.
Cite
@inproceedings{lacroix2014validation,
title = {{Validation Issues induced by an Automatic Pre-Annotation Mechanism in the Building of Non-projective Dependency Treebanks}},
author = {Lacroix, Ophélie and Béchet, Denis},
booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
year = {2014},
url = {https://aclanthology.org/L14-1729/}
}References
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