JarCastingJava библиотеки
Последняя версия: 1.0.1
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Последняя версия: 1.0.1
Дата:Последняя версия: 1.0.0
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Последняя версия: 1.0.6
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JCoRe Token Annotator, Medical German
de.julielab : jcore-jtbd-ae-medical-germanUIMA Wrapper for the JCoRe Token Boundary Detector with a model trained on the confidential FraMed corpus.
Последняя версия: 2.5.1
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JCoRe PubMed DB Reader
de.julielab : jcore-pubmed-db-readerAn instantiation of the jcore-db-reader that uses the jcore-xml-mapper to retrieve and parse PubMed XML from a PostgreSQL database. The XML format of retrieved documents is expected to follow the PubMed/MEDLINE XML schema that was used beginning from 2017. I.e. the root document of a document must be PubmedArticle and not, as it was for MEDLINE until 2017, MedlineCitation.
Последняя версия: 2.5.1
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JCoRe Token Annotator, Biomedical English
de.julielab : jcore-jtbd-ae-biomedical-englishUIMA Wrapper for the JCoRe Token Boundary Detector with a model trained on a special biomedical corpus which consists of data from (manually annotated) material which we took from MedLine abstracts and a modified version of PennBioIE's underlying tokenization.
Последняя версия: 2.5.1
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JCoRe BANNER AE for Biomedical English
de.julielab : jcore-banner-ae-biomedical-englishThe JCoRe BANNER Gene Tagger wrapper with a model for biomedical english.
Последняя версия: 2.5.1
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JCoRe Linnaeus Species AE Genera and Species Proxies Dictionaries
de.julielab : jcore-linnaeus-species-ae-genera-species-proxies-dictsThis project is a resource for the JCoRe Linnaeus Annotator. The dictionaries contained herein are used for the recognition of concrete species names in text, e.g. "human", "mouse", "n. furzeri", "c. elegans" etc as well as species hints, i.e. indirect clues to a species like the word "patient" which most likely refers to a human. Additionally to such rather clear proxies, this project also includes a small dictionary containing maximum-frequency-proxies for genus expressions like "Drosophila" which will be mapped to "D. melanogaster". For the task of only finding concrete species names in text, there is the project jcore-linnaeus-species-ae-species-dict.
Последняя версия: 2.5.1
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JCoRe MEDLINE DB Reader
de.julielab : jcore-medline-db-readerAn instantiation of the jcore-db-reader that uses the jcore-xml-mapper to retrieve and parse MEDLINE XML from a PostgreSQL database. The XML format of retrieved documents is expected to follow the MEDLINE XML schema that was used until inclusive 2016. I.e. the root element of MEDLINE documents must be MedlineCitation and not, as it is since 2017, PubmedArticle.
Последняя версия: 2.5.1
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JCoRe OpenNLP Sentence Segmenter, Medical German
de.julielab : jcore-opennlp-sentence-ae-medical-germanThis Model was trained on the confidential FraMed corpus.
Последняя версия: 2.5.1
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JCoRe PubMed Reader
de.julielab : jcore-pubmed-readerLeveraging the JCoRe XML Reader, this project employs a PubMed-enabled mapping file to map PubMed XML documents to CAS instances. The input is a directory of single XML files, each containing exactly one XML PubmedArticle. The XML format is the one used by NCBI when displaying results in PubMed as XML.
Последняя версия: 2.5.1
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JCoRe Medline Reader
de.julielab : jcore-medline-readerLeveraging the JCoRe XML Reader, this project employs a Medline-enabled mapping file to map Medline XML documents to CAS instances. The input is a directory of single XML files, each containing exactly one XML MedlineCitation. The XML format is the one used by NCBI when downloading Medline documents in large batches from the NCBI FTP server. However, the component currently expects single documents instead of whole MedlineCitationSets containing sets of MedlineCitations.
Последняя версия: 2.5.1
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JCoRe JNET AE, Biomedical English
de.julielab : jcore-jnet-ae-biomedical-englishThis project employs the jcore-jnet-ae (Named Entity Tagger) with a model trained on the PennBioIE corpus.
Последняя версия: 2.5.1
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JCoRe OpenNLP Token AE, Biomedical English
de.julielab : jcore-opennlp-token-ae-biomedical-englishThis project employes the JCoRe OpenNLP tokenizer wrapper with a model trained on the PennBioIE corpus and data from MedLine abstracts.
Последняя версия: 2.5.1
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JCoRe Lingscope Negation AE
de.julielab : jcore-lingscope-negation-aeThis component uses Lingscope with the baseline negation cue tagger and a CRF scope detector.
Последняя версия: 2.5.1
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JCoRe Linnaeus Species AE with Species Dictionary
de.julielab : jcore-linnaeus-species-ae-species-dictThis project is a project for the JCoRe Linnaeus Annotator. The dictionary contained herein is used for the recognition of concrete species names in text, e.g. "human", "mouse", "n. furzeri", "c. elegans" etc. It does not contain species proxies, i.e. indirect clues to a species like the word "patient" which most likely refers to a human. For this task there is the project jcore-linnaeus-species-ae-proxies-dict.
Последняя версия: 2.5.1
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JCoRe OpenNLP Chunker, Biomedical English
de.julielab : jcore-opennlp-chunk-ae-biomedical-englishThis project employs the OpenNLP wrapper (jcore-opennlp-chunker-ae) with a model trained on the Genia corpus.
Последняя версия: 2.5.1
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JCoRe BioSem AE, BioNLP SharedTask 2013
de.julielab : jcore-biosem-ae-bionlp-st13This project employs the JCoRe BioSem wrapper (jcore-biosem-ae) with a BioSem database trained on the BioNLP SharedTask 2013 train and development (mix) data for biological event extraction.
Последняя версия: 2.5.1
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JCoRe Sentence Annotator, Medical German
de.julielab : jcore-jsbd-ae-medical-germanUIMA Wrapper for the JCoRe Sentence Boundary Detector (jcore-jsbd-ae) with a model trained on data from the confidential FraMed corpus
Последняя версия: 2.5.1
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JCoRe Lingpipe Gazetteer Dummy Implementation
de.julielab : jcore-lingpipegazetteer-ae-dummy-implementationThis is just a dummy implementation that can be adapted according to ones own need.
Последняя версия: 2.5.1
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Последняя версия: 2.5.1
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JCoRe MST Parser AE, Biomedical English
de.julielab : jcore-mstparser-ae-biomedical-englishThis project employs the jcore-mstparser-ae (Dependency Parser) with a model trained on the GENIA corpus.
Последняя версия: 2.5.1
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JCoRe OpenNLP Tokenizer, Medical German
de.julielab : jcore-opennlp-token-ae-medical-germanThis Model was trained on the confidential FraMed corpus.
Последняя версия: 2.5.1
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JCoRe OpenNLP POS Tagger, Medical German
de.julielab : jcore-opennlp-postag-ae-medical-germanThis Model was trained on the confidential FraMed corpus.
Последняя версия: 2.5.1
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JCoRe OpenNLP Parser, Biomedical English
de.julielab : jcore-opennlp-parser-ae-biomedical-englishThis project employs the OpenNLP wrapper (jcore-opennlp-parser-ae) with a model trained on the Genia corpus.
Последняя версия: 2.5.1
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JCoRe OpenNLP Sentence Splitter, Biomedical English
de.julielab : jcore-opennlp-sentence-ae-biomedical-englishThis project employs the UIMA wrapper (jcore-opennlp-sentence-ae) with a model trained on the PennBioIE and Genia corpora.
Последняя версия: 2.5.1
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JCoRe JPOS AE, Medical German
de.julielab : jcore-jpos-ae-medical-germanThis project employs the jcore-jpos-ae (Part-of-Speech Tagger) with a model trained on the confidential FraMed corpus.
Последняя версия: 2.5.1
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JCoRe BioSem AE, BioNLP SharedTask 2009
de.julielab : jcore-biosem-ae-bionlp-st09This project employs the JCoRe BioSem wrapper (jcore-biosem-ae) with a BioSem database trained on the BioNLP SharedTask 2009 train data for biological event extraction.
Последняя версия: 2.5.1
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JCoRe Linnaeus Species AE Proxies Dictionary
de.julielab : jcore-linnaeus-species-ae-proxies-dictThis project is a resource for the JULES Linnaeus Annotator. The dictionary contained herein is used for the recognition of concrete species names in text, e.g. "human", "mouse", "n. furzeri", "c. elegans" etc as well as species hints, i.e. indirect clues to a species like the word "patient" which most likely refers to a human. For the task of only finding concrete species names in text, there is the project jcore-linnaeus-species-ae-species-dict.
Последняя версия: 2.5.1
Дата:
JCoRe Sentence Annotator, Biomedical English
de.julielab : jcore-jsbd-ae-biomedical-englishUIMA Wrapper for the JCoRe Sentence Boundary Detector (jcore-jsbd-ae) with a model trained on data from both the GENIA and PennBioIE corpus as well as additional material from MedLine abstracts.
Последняя версия: 2.5.1
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JCoRe OpenNLP POS Tagger, Biomedical English
de.julielab : jcore-opennlp-postag-ae-biomedical-englishThis project employs the OpenNLP wrapper (jcore-opennlp-postag-ae) with a model trained on the PennBioIE corpus.
Последняя версия: 2.5.1
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JCoRe BioSem AE, BioNLP SharedTask 2011
de.julielab : jcore-biosem-ae-bionlp-st11This project employs the JCoRe BioSem wrapper (jcore-biosem-ae) with a BioSem database trained on the BioNLP SharedTask 2011 train and development (that is, "mixed") data for biological event extraction.
Последняя версия: 2.5.1
Дата:I'm AOP Loggers for Spring Boot
com.github.henkelian : im-aop-loggers-spring-bootA handy and configurable sets of annotation-based loggers for Spring Boot that can log every execution of a method when entering or exiting normally or abnormally, without you writing a single line of code using aspect-oriented programming (AOP)
Последняя версия: 1.2.2
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Последняя версия: 0.6.0
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Gradoop Temporal Graph Examples
org.gradoop : gradoop-examples-temporalContains examples for the Temporal Property Graph Model (TPGM) and its Gradoop operators.
Последняя версия: 0.6.0
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Последняя версия: 0.6.0
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Последняя версия: 0.6.0
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Последняя версия: 0.6.0
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Последняя версия: 0.6.0
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Последняя версия: 0.6.0
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Последняя версия: 0.6.0
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Последняя версия: 0.6.0
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Последняя версия: 0.6.0
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Gradoop Data Integration
org.gradoop : gradoop-data-integrationSupport for graph data integration in gradoop, e.g. importer, transformations and so on.
Последняя версия: 0.6.0
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Gradoop Store API
org.gradoop : gradoop-store-apiAPI definitions of Gradoop's store implementations.
Последняя версия: 0.6.0
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Gradoop Examples Operators
org.gradoop : gradoop-examples-operatorsContains examples for a subset of Gradoop operators.
Последняя версия: 0.6.0
Дата:Последняя версия: 2.0.1
Дата:Последняя версия: 1.0.5
Дата:Последняя версия: 0.1.4
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