de.julielab » jcore-jnet-ae-biomedical-english
This project employs the jcore-jnet-ae (Named Entity Tagger) with a model trained on the PennBioIE corpus.
更新时间: 2022-12-18 23:43de.julielab » jcore-jtbd-ae-biomedical-english
UIMA 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.
更新时间: 2022-12-18 23:43de.julielab » jcore-opennlp-token-ae-biomedical-english
This project employes the JCoRe OpenNLP tokenizer wrapper with a model trained on the PennBioIE corpus and data from MedLine abstracts.
更新时间: 2022-12-18 23:43de.julielab » jcore-lingpipegazetteer-ae-dummy-implementation
This is just a dummy implementation that can be adapted according to ones own need.
更新时间: 2022-12-18 23:43de.julielab » jcore-jsbd-ae-medical-german
UIMA Wrapper for the JCoRe Sentence Boundary Detector (jcore-jsbd-ae) with a model trained on data from the confidential FraMed corpus
更新时间: 2022-12-18 23:42de.julielab » jcore-opennlp-sentence-ae-biomedical-english
This project employs the UIMA wrapper (jcore-opennlp-sentence-ae) with a model trained on the PennBioIE and Genia corpora.
更新时间: 2022-12-18 23:42de.julielab » jcore-linnaeus-species-ae-species-dict
This 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.
更新时间: 2022-12-18 23:42de.julielab » jcore-biosem-ae-bionlp-st11
This 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.
更新时间: 2022-12-18 23:42de.julielab » jcore-banner-ae-biomedical-english
The JCoRe BANNER Gene Tagger wrapper with a model for biomedical english.
更新时间: 2022-12-18 23:42de.julielab » jcore-lingscope-negation-ae
This component uses Lingscope with the baseline negation cue tagger and a CRF scope detector.
更新时间: 2022-12-18 23:42de.julielab » jcore-opennlp-token-ae-medical-german
This Model was trained on the confidential FraMed corpus.
更新时间: 2022-12-18 23:42de.julielab » jcore-linnaeus-species-ae-proxies-dict
This 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.
更新时间: 2022-12-18 23:42de.julielab » jcore-medline-reader
Leveraging 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.
更新时间: 2022-12-18 23:42de.julielab » jcore-mstparser-ae-biomedical-english
This project employs the jcore-mstparser-ae (Dependency Parser) with a model trained on the GENIA corpus.
更新时间: 2022-12-18 23:42de.julielab » jcore-opennlp-postag-ae-medical-german
This Model was trained on the confidential FraMed corpus.
更新时间: 2022-12-18 23:42| 仓库 | 个数 |
| Central | 592045 |