Author of the publication

Odin's Runes: A Rule Language for Information Extraction.

, , and . LREC, European Language Resources Association (ELRA), (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Odinson: A Fast Rule-based Information Extraction Framework., , and . LREC, page 2183-2191. European Language Resources Association, (2020)Lightly-supervised Representation Learning with Global Interpretability., , , , and . SPNLP@NAACL-HLT, page 18-28. Association for Computational Linguistics, (2019)Sieve-based Coreference Resolution in the Biomedical Domain., , , and . LREC, European Language Resources Association (ELRA), (2016)This before That: Causal Precedence in the Biomedical Domain., , , and . BioNLP@ACL, page 146-155. Association for Computational Linguistics, (2016)Active Learning Design Choices for NER with Transformers., , , , and . LREC/COLING, page 321-334. ELRA and ICCL, (2024)Text Annotation Graphs: Annotating Complex Natural Language Phenomena., , , , and . LREC, European Language Resources Association (ELRA), (2018)Interpretable Models for Information Extraction.. University of Arizona, Tucson, USA, (2016)base-search.net (ftunivarizona:oai:repository.arizona.edu:10150/613348).Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph., , and . ACL (System Demonstrations), page 103-108. Association for Computational Linguistics, (2017)A Domain-independent Rule-based Framework for Event Extraction., , , and . ACL (System Demonstrations), page 127-132. The Association for Computer Linguistics, (2015)Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models., , , , , , , , , and 7 other author(s). NAACL-HLT (Demonstrations), page 42-47. Association for Computational Linguistics, (2019)