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Name TDescription# Ann.AuthorMaintainerUpdated_atStatus

141-160 / 316 show all
ichiharatest_150830_1 test99Hisako Ichihara2023-11-29Testing
ICU_characters 286ming-qi-wang2023-11-27
infoMED_PsA testing45Timmtimmo2023-11-30Testing
JF-test A test corpus for exploring this service9Johan Fridjohanf2023-12-03Testing
JF-test2 0johanf2020-03-26Testing
jnlpba-st-training The training data used in the task came from the GENIA version 3.02 corpus, This was formed from a controlled search on MEDLINE using the MeSH terms "human", "blood cells" and "transcription factors". From this search, 1,999 abstracts were selected and hand annotated according to a small taxonomy of 48 classes based on a chemical classification. Among the classes, 36 terminal classes were used to annotate the GENIA corpus. For the shared task only the classes protein, DNA, RNA, cell line and cell type were used. The first three incorporate several subclasses from the original taxonomy while the last two are interesting in order to make the task realistic for post-processing by a potential template filling application. The publication year of the training set ranges over 1990~1999.51.1 KGENIAYue Wang2023-11-26Released
KAIST_NLP_Annotation10 4.76 Kkaist_nlp2023-11-29Developing
KAIST_NLP_Annotation11 4.88 Kkaist_nlp2023-11-26Developing
KAIST_NLP_Annotation12 5 Kkaist_nlp2023-11-29Developing
KAIST_NLP_Annotation13 6.27 Kkaist_nlp2023-11-29Developing
KAIST_NLP_Annotation3 4.73 Kkaist_nlp2023-11-29Developing
KAIST_NLP_Annotation4 5.18 Kkaist_nlp2023-11-29Developing
KAIST_NLP_Annotation5 6.27 Kkaist_nlp2023-11-29Developing
KAIST_NLP_Annotation6 4.47 Kkaist_nlp2023-11-29Developing
KAIST_NLP_Annotation7 4.64 Kkaist_nlp2023-11-29Developing
KAIST_NLP_Annotation8 5.02 Kkaist_nlp2023-11-28Developing
KAIST_NLP_Annotation9 6.32 Kkaist_nlp2023-11-28Developing
kaiyin_test 3.33 Kzhoukaiyin2023-11-26
korean_copus_eval 53donghwan kim2023-11-29
korean_corpus validation korean90donghwan kim2023-11-29
Name T# Ann.AuthorMaintainerUpdated_atStatus

141-160 / 316 show all
ichiharatest_150830_1 99Hisako Ichihara2023-11-29Testing
ICU_characters 286ming-qi-wang2023-11-27
infoMED_PsA 45Timmtimmo2023-11-30Testing
JF-test 9Johan Fridjohanf2023-12-03Testing
JF-test2 0johanf2020-03-26Testing
jnlpba-st-training 51.1 KGENIAYue Wang2023-11-26Released
KAIST_NLP_Annotation10 4.76 Kkaist_nlp2023-11-29Developing
KAIST_NLP_Annotation11 4.88 Kkaist_nlp2023-11-26Developing
KAIST_NLP_Annotation12 5 Kkaist_nlp2023-11-29Developing
KAIST_NLP_Annotation13 6.27 Kkaist_nlp2023-11-29Developing
KAIST_NLP_Annotation3 4.73 Kkaist_nlp2023-11-29Developing
KAIST_NLP_Annotation4 5.18 Kkaist_nlp2023-11-29Developing
KAIST_NLP_Annotation5 6.27 Kkaist_nlp2023-11-29Developing
KAIST_NLP_Annotation6 4.47 Kkaist_nlp2023-11-29Developing
KAIST_NLP_Annotation7 4.64 Kkaist_nlp2023-11-29Developing
KAIST_NLP_Annotation8 5.02 Kkaist_nlp2023-11-28Developing
KAIST_NLP_Annotation9 6.32 Kkaist_nlp2023-11-28Developing
kaiyin_test 3.33 Kzhoukaiyin2023-11-26
korean_copus_eval 53donghwan kim2023-11-29
korean_corpus 90donghwan kim2023-11-29