0.8.1

Added

• Identified URLs are now added in the TEI output #1099
• Added DL models for patent processing #1082
• Copyrights owner and licenses identification models #1078
• Add research infrastructure recognition for funding processing #1085
• Add paragraphs coordinates in the TEI output #1068
• Specify configuration file with DL models enabled for the full docker image #1117
• Support for biblio-glutton 0.3 #1086

Changed

• Update affiliation process #1069
• Improved the recognition of URLs using (when available) PDF annotations, such as clickable links
• Updated TEI schema #1084
• Review patent process #1082
• Add Kotlin language to support development and testing #1096

Fixed

• Avoid splitting URLs between sentences #1097
• Add missing sentence segmentation in funding and acknowledgement #1106
• Docker image was optimized to reduce the needed space #1088
• Fixed OOBE when processing large quantities of notes #1075
• Corrected <title> coordinate attribute name #1070
• Fix missing coordinates in paragraph continuation #1076
• Fixed JSON log output
• Fixed notes identification #1124
• Fixed extraneous semicolon in the training data #1133
• Reduced security vulnerabilities in the dependencies #1136 #1137

New Contributors

• @tanaynayak made their first contribution in #1133
• @vipulg13 made their first contribution in #1137

Version 0.8.0

Added

• Extraction of funder and funding information with a specific new model, see #1046 for details
• Optional consolidation of funder with CrossRef Funder Registry
• Identification of acknowledged entities in the acknowledgement section
• Optional coordinates in title elements

Changed

• Dropwizard upgrade to 4.0
• Minimum JDK/JVM requirement for building/running the project is now 1.11
• Logging now with Logback, removal of Log4j2, optional logs in json format
• General review of logs
• Enable Github actions / Disable circleci #678

Fixed

• Set dynamic memory limit in pdfalto_server #1038
• Logging in files when training models work now as expected
• Various dependency upgrades
• Fix #1051 with possible problematic PDF
• Fix #1036 for pdfalto memory limit
• fix readthedocs build #1040
• fix for null equation #1030
• Other minor fixes

Version 0.7.3

Added

• Support for JDK beyond 1.11, tested up to Java 17, thanks to removal of dynamic native library loading after the start of the JVM
• Incremental training (all models and ML engines), add this option in training command line and training web service (#971)
• Systematic benchmarking on two new sets: PLOS (1000 artilces) and eLife (984 articles)
• All end-to-end evaluation datasets are now available from the same place: https://zenodo.org/record/7708580
• Option to output coordinates in notes and figure/table captions
• Support for Mac ARM architecture (#975)
• Play With Docker documentation (#962)

Changed

• Update to DeLFT version 0.3.3
• Demo now hosted as HuggingFace space
• Additional training data, in particular for citation, reference-segmenter, segmentation, header, etc.
• Update Deep Learning models (and some of the CRF)
• The standard analyzer for sub-lexical tokenization is available in grobid-core, and used for the citation model (in particular for improving CJK references) (#990)
• Update evaluations

Fixed

• Correct wrong content type in doc for processCitation web service
• Sentence segmentation applied to notes (#995)
• Other minor fixes

Version 0.7.2

Added

• Explicit identification of data/code availability statements (#951) and funding statements (#959), including when they are located in the header
• Link footnote and their "callout" marker in full text (#944)
• Option to consolidate header only with DOI if a DOI is extracted (#742)
• "Window" application of RNN model for reference-segmenter to cover long bibliographical sections
• Add dynamic timeout on pdfalto_server (#926)
• A modest Python script to help to find "interesting" error cases in a repo of JATS/PDF pairs, grobid-home/scripts/select_error_cases.py

Changed

• Update to DeLFT version 0.3.2
• Some more training data (authors in reference, segmentation, citation, reference-segmenter) (including #961, #864)
• Update of some models, RNN with feature channels and CRF (segmentation, header, reference-segmenter, citation)
• Review guidelines for segmentation model
• Better URL matching, using in particular PDF URL annotation in account

Fixed

• Fix unexpected figure and table labeling in short texts
• When matching an ORCID to an author, prioritize Crossref info over extracted ORCID from the PDF (#838)
• Annotation errors for acknowledgement and other minor stuff
• Fix for Python library loading on Mac
• Update docker file to support new CUDA key
• Do not dehyphenize text in superscript or subscript
• Allow absolute temporary paths
• Fix redirected stderr from pdfalto not "gobbled" by the java ProcessBuilder call (#923)
• Other minor fixes

Version 0.7.1

Added

• Web services for training models (#778)
• Some additional training data for bibliographical references from arXiv
• Add a web service to process a list of reference strings, see https://grobid.readthedocs.io/en/processcitationlist/Grobid-service/#apiprocesscitationlist
• Extended processHeaderDocument to get result in bibTeX

Changed

• Update to DeLFT version to 0.3.1 and TensorFlow 2.7, with many improvements, see https://github.com/kermitt2/delft/releases/tag/v0.3.0
• Update of Deep Learning models
• Update of JEP and add install script
• Update to new biblio-glutton version 0.2, for improved and faster bibliographical reference matching
• circleci to replace Travis
• Update of processFulltextAssetDocument service to use the same parameters as processFulltextDocument
• Pre-compile regex if not already done
• Review features for header model

Fixed

• Improved date normalization (#760)
• Fix possible issue with coordinates related to reference markers (#908) and sentence (#811)
• Fix path to bitmap/vector graphics (#836)
• Fix possible catastrophic regex backtracking (#867)
• Other minor fixes

Version 0.7.0

Added

• New YAML configuration: all the settings are in one single yaml file, each model can be fully configured independently
• Improvement of the segmentation and header models (for header, +1 F1-score for PMC evaluation, +4 F1-score for bioRxiv), improvements for body and citations
• Add figure and table pop-up visualization on PDF in the console demo
• Add PDF MD5 digest in the TEI results (service only)
• Language support packages and xpdfrc file for pdfalto (support of CJK and exotic fonts)
• Prometheus metrics
• BidLSTM-CRF-FEATURES implementation available for more models
• Addition of a "How GROBID works" page in the documentation

Changed

• JitPack release (RIP jcenter)
• Improved DOI cleaning
• Speed improvement (around +10%), by factorizing some layout token manipulation
• Update CrossRef requests implementation to align to the current usage of CrossRef's X-Rate-Limit-Limit response parameter

Fixed

• Fix base url in demo console
• Add missing pdfalto Graphics information when -noImage is used, fix graphics data path in TEI
• Fix the tendency to merge tables when they are in close proximity

Version 0.6.2

Added

• Docker image covering both Deep Learning and CRF models, with GPU detection and preloading of embeddings
• For Deep Learning models, labeling is now done by batch: application of the citation DL model is 4 times faster for BidLSTM-CRF (with or without features) and 6 times faster for SciBERT
• More tests for sentence segmentation
• Add orcid of persons when available from the PDF or via consolidation (i.e. if in CrossRef metadata)
• Add BidLSTM-CRF-FEATURES header model (with feature channel)
• Add bioRxiv end-to-end evaluation
• Bounding boxes for optional section titles coordinates

Changed

• Reduce the size of docker images
• Improve end-to-end evaluation: multithreaded processing of PDF, progress bar, output the evaluation report in markdown format
• Update of several models covering CRF, BidLSTM-CRF and BidLSTM-CRF-FEATURES, mainly improving citation and author recognitions
• OpenNLP is the default optional sentence segmenter (similar result as Pragmatic Segmenter for scholar documents after benchmarking, but 30 times faster)
• Refine sentence segmentation to exploit layout information and predicted reference callouts
• Update jep version to 3.9.1

Fixed

• Ignore invalid utf-8 sequences
• Update CrossRef multithreaded calls to avoid using the unreliable time interval returned by the CrossRef REST API service, update usage of Crossref-Plus-API-Token and update the deprecated crossref field query.title
• Missing last table or figure when generating training data for the fulltext model
• Fix an error related to the feature value for the reference callout for the fulltext model
• Review/correct DeLFT configuration documentation, with a step-by-step configuration documentation
• Other minor fixes

Version 0.6.1

Added

• Support of line number (typically in preprints)
• End-to-end evaluation and benchmark for preprints using the bioRxiv 10k dataset
• Check whether PDF annotation is orcid and add orcid to author in the TEI result
• Configuration for making sequence labeling engine (CRF Wapiti or Deep Learning) specific to models
• Add a developers guide and a FAQ section in the documentation
• Visualization of formulas on PDF layout in the demo console
• Feature for subscript/superscript style in fulltext model

Changed

• New significantly improved header model: with new features, new training data (600 new annotated examples, old training data is entirely removed), new labels and updated data structures in line with the other models
• Update of the segmentation models with more training data
• Removal of heuristics related to the header
• Update to gradle 6.5.1 to support JDK 13 and 14
• TEI schemas
• Windows is not supported in this release

Fixed

• Preserve affiliations after consolidation of the authors
• Environment variable config override for all properties
• Unfrequent duplication of the abstract in the TEI result
• Incorrect merging of affiliations
• Noisy parentheses in the bibliographical reference markers
• In the console demo, fix the output filename wrongly taken from the input form when the text form is used
• Synchronisation of the language detection singleton initialisation in case of multithread environment
• Other minor fixes

Version 0.6.0

Added

• Table content structuring (thanks to @Vitaliy-1), see PR #546
• Support for application/x-bibtex at /api/processReferences and /api/processCitation (thanks to @koppor)
• Optionally include raw affiliation string in the TEI result
• Add dummy model for facilitating test in Grobid modules
• Allow environment variables for config properties values to ease Docker config
• ChangeLog

Changed

• Improve CORS configuration #527 (thank you @lfoppiano)
• Documentation improvements
• Update of segmentation and fulltext model and training data
• Better handling of affiliation block fragments
• Improved DOI string recognition
• More robust n-fold cross validation (case of shared grobid-home)

Version 0.5.6

• Better abstract structuring (with citation contexts)
• n-fold cross evaluation and better evaluation report (thanks to @lfoppiano)
• Improved PMC ID and PMID recognition
• Improved subscript/superscript and font style recognition (via pdfalto)
• Improved JEP integration (support of python virtual environment for using DeLFT Deep Learning library, thanks @de-code and @lfoppiano)
• Several bug fixes (thanks @de-code, @bnewbold, @Vitaliy-1 and @lfoppiano)
• Improved dehyphenization (thanks to @lfoppiano)