Alle publicaties voor Li, M.
2022
| en , Neural Architectures for Aggregating Sequence Labels from Multiple Annotators (2022), in: Neurocomputing |
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2021
| , , , , , , , , , , , , , , , , , , , , , , , en , NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding (2021), in: npj systems biology and applications, 7(38) |
[DOI] [URL] |
2020
| , en , A Neural Model for Aggregating Coreference Annotation in Crowdsourcing, in: Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), pagina's 5760-5773, 2020 |
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2019
| , , en , Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks, in: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pagina's 2873-2883, 2019 |
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2018
| , , , , , en , A Text Mining Pipeline Using Active and Deep Learning for Curating Information in Computational Neuroscience (2018), in: Neuroinformatics |
[DOI] [URL] |
2017
| , en , Proactive Learning for Named Entity Recognition, in: Proceedings of BioNLP 2017, pagina's 117--125, Association for Computational Linguistics, 2017 |
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