UniMelb at SemEval-2019 Task 12: Multi-model combination for toponym resolution

SEMEVAL 2019 Haonan LiMinghan WangTimothy BaldwinMartin TomkoMaria Vasardani

This paper describes our submission to SemEval-2019 Task 12 on toponym resolution over scientific articles. We train separate NER models for toponym detection over text extracted from tables vs. text from the body of the paper, and train another auxiliary model to eliminate misdetected toponyms... (read more)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper