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After 547 merges, this is a small ticket that piggy backs on it. Just needs a rebase when it merges. |
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@krickert Please go for rebase and harmonization of this branch, pls. Just want to make sure, things are consistent for ppl to inspect the PR draft against main. |
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On it |
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Hi @krickert - as usual here is the first round of an AI review with our usual review bar:
The findings are inline (5 blocking, 32 minor). Process points:
- The PR is marked ready, but the remaining work listed in its description (model/factory/CLI integration, shared scoring, parser-owned caches, deterministic vocabulary, fresh evaluations) changes public API and the model format, both of which freeze at 3.0.0. Please move it back to draft until that has landed.
- The pinned feedforward scores (
UniversalDependencyParserEval.java:246/259) depend on the vocabulary order and cover greedy decoding only, while the manual uses beam 4. After the ordering fix we need an eval build to re-pin them, with a beam row added. - Squash message: please drop the "Rebased onto main after OPENNLP-547…" paragraph and the
Co-authored-by/Reviewed-bytrailers, replace theAssisted-by/Co-authored-by: Claudelines with at most one ASF-conformantGenerated-by:trailer, and keep the body to 2-3 sentences.
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Eval failed - small patch to fix it. On it now |
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Patch applied, eval build 101 is running. Will flip to ready for review once that is done. |
Adds FeedforwardDependencyParser, an arc-standard neural parser after Chen and Manning (2014) that implements the same DependencyParser API as DependencyParserME, with greedy and beam decoding. FeedforwardDependencyTrainer trains the FeedforwardDependencyModel from TrainingParameters and refines it with beam search and early updates; the model is a BaseModel with the network as an artifact. StringUtil.toLowerCase applies the Unicode final sigma rule, and the manual, the CoNLL-U usage test and the UD evaluation cover the new parser. Generated-by: Claude Code Signed-off-by: Kristian Rickert <kristian@apache.org> Co-authored-by: Claude Code 2.1.296 (Claude Opus 5.5)
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Edit: passes https://ci-builds.apache.org/job/OpenNLP/job/eval-tests-configurable/102/ 101 revealed a change that was needed. Re-ran locally and passed. (sidenote: thinik that I found a way to make eval run 2x faster) |
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Thanks for the review. All five blockers and the minors are addressed in the current push:
The minors (loader limits through |
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102 passed. All comments addressed and chages made and tested. |
Adds
FeedforwardDependencyParser, an arc-standard neural dependency parser after Chen and Manning (2014). It implements the sameDependencyParserAPI asDependencyParserMEand decodes greedily or with a beam.FeedforwardDependencyTrainertrains the model fromTrainingParametersand can refine it with beam search and early updates.FeedforwardDependencyModelextendsBaseModeland stores the network as an artifact with its own serializer. The scoring cache is parser-owned, opt-in and bounded in bytes.StringUtil.toLowerCasenow applies the Unicode final sigma rule, which the parser uses to key its word vocabulary.The manual, the CoNLL-U usage test and
UniversalDependencyParserEvalcover the new parser. The evaluation has greedy and beam 4 cases for English EWT and Spanish AnCora; the pinned scores will be refreshed from an eval build on this branch before the PR leaves draft.Remaining before 3.0.0: factory and CLI integration, which will be a follow-up PR.