Search Results for author: Jari Bj{\"o}rne

Found 8 papers, 1 papers with code

The 2018 Shared Task on Extrinsic Parser Evaluation: On the Downstream Utility of English Universal Dependency Parsers

no code implementations • CONLL 2018 • Murhaf Fares, Stephan Oepen, Lilja {\O}vrelid, Jari Bj{\"o}rne, Richard Johansson

We summarize empirical results and tentative conclusions from the Second Extrinsic Parser Evaluation Initiative (EPE 2018).

Fine-Grained Opinion Analysis MORPH

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Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing

no code implementations • WS 2018 • Jari Bj{\"o}rne, Tapio Salakoski

Using this system, our machine learning model can be easily applied to a large set of corpora from e. g. the BioNLP, DDI Extraction and BioCreative shared tasks.

Dependency Parsing NER +4

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End-to-End System for Bacteria Habitat Extraction

1 code implementation • WS 2017 • Farrokh Mehryary, Kai Hakala, Suwisa Kaewphan, Jari Bj{\"o}rne, Tapio Salakoski, Filip Ginter

The official evaluation shows that the joint performance of our entity detection and relation extraction models outperforms the winning team of the Shared Task by 19pp on F1-score, establishing a new top score for the task.

Named Entity Recognition (NER) Relation +1