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• added_training_data_for_examples_highlights
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• biblio-glutton-v0.2
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• duplicated-abstract
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• elifesciences-back-section-figure-tables-upstream
• elifesciences-enable-travis-docker-build
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• feature/add-styles-xml
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• feature/add-training-data-remove-caption-fix
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• feature/change-base-image-delft-docker
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• feature/data-availability-statement
• feature/distinguish-when-consolidated-citations
• feature/docker-evaluation-image
• feature/enable-env-variables
• feature/extend-arm-support
• feature/extract-any-url-in-fulltext
• feature/funding-statement
• feature/github-actions
• feature/grobid-lucene-analyzer-update
• feature/identify-urls
• feature/improving-sentence-segmentation
• feature/kotlin
• feature/literature-law-flavour
• feature/literature-law-flavour-old-pdfalto
• feature/paragraphs-coordinates
• feature/patent-process
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• feature/randomise-model-name-during-nfold
• feature/rrid
• feature/segmentation-light
• feature/segmentation-light_das_training
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• feature/thesis-references
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• feature/update_jdk_and_gradle
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• fix_crossref_multi-thread
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• glutton-0.3
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• grobid-0.5.6
• grobid-lucene-analyzers
• grobid-parent-0.3.4
• grobid-parent-0.3.5
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• grobid-parent-0.4.1
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• grobid_config_20150825
• haydn-jones-annotations
• header-model-eval
• header_author_layout_tokens
• improved-dehypenisation
• improved-dockerfile-delft
• improvement/add-tests-sentence-segmentation
• improvement/allocate-more-memory-java
• improvement/better-simpler-documentation
• improvement/consolidation-updates
• improvement/create-training-keep-orignial-file-name
• improvement/e2e-automatic-lower-nb-threads
• improvement/jep-init-error-display
• improvement/jep-init-error-handling
• improvement/no-cache-pip
• improvement/remove-log-on-file-docker
• improvement/revise-dl-interaction
• improvement/strongly-typed-engine-factory
• improvement/update-interface-doc
• improvement/update-jep
• improvement/update-swid
• improvements/resolve-deprecations
• incremental-training
• jcboyd-pykelet-PR-consortium_collaboration
• jcboyd-pykelet-PR-segmentation
• jcboyd-pykelet-PR-segmentation_referenceSegmenter
• keep_affiliations_after_consolidation
• layout_utils
• lfoppiano_refactor_utilities_Methods-040816
• line_number_support
• lucbouge-patch-1
• martin-citation-annotations
• mastak-feature/docker
• master
• minor-correction-properties
• model-initialisation-fix
• modified-pdf2xml
• monographe-opaline
• multi-arch-docker-image
• names_address_parser
• new-figure-table-models
• new-training-data-das
• option-442
• option-consolidate-with-doi-only
• orcid_author_header_model_annotation
• partial-merge-pr-216
• patrice-23012016
• patrice-24012016
• pdf_md5
• pdfalto_integration
• pdfalto_parser_fixes
• pre-release-0.8.0
• python-envs
• reading-order
• reduce-image-size
• reference_marker_matcher
• release-0.8.1
• research-infrastructures
• revert-624-bugfix/crossref-api
• review-patent
• sentence-segmentation
• sentence-segmentation-detection
• standalone-figure-extraction
• supercript-feature-in-fulltext
• support-cjk-langs
• taggingLabel-issue133
• tensorflow-2.16
• test-jvm-crash
• test/change-config
• test/change-log-level
• tokenLayouts20151026
• update-affiliation
• update-analyzers-lib
• update-doc
• update-pdfalto-recognition
• update-regexes-urls
• update-stats
• update_header
• updated-dependencies
• usage-embedded-pdf-metadata-485
• vipulg13-master
• yaml-config
• yaml-config-bis

Build # 12503502766

Build Type

Pull #978

github

Committed by lfoppiano

Commit Message

add some training data with examples with docs containing highlights

Pull Request Pull Request #978: add some training data with examples with docs containing highlights

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