arxivst stuff from arxiv that you should probably bookmark

EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION

Abstract · Apr 7, 2017 13:07 ·


Arxiv Abstract

  • Steffen Eger
  • Erik-Lân Do Dinh
  • Ilia Kuznetsov
  • Masoud Kiaeeha
  • Iryna Gurevych

This paper describes our approach to the SemEval 2017 Task 10: “Extracting Keyphrases and Relations from Scientific Publications”, specifically to Subtask (B): “Classification of identified keyphrases”. We explored three different deep learning approaches: a character-level convolutional neural network (CNN), a stacked learner with an MLP meta-classifier, and an attention based Bi-LSTM. From these approaches, we created an ensemble of differently hyper-parameterized systems, achieving a micro-F 1 -score of 0.63 on the test data. Our approach ranks 2nd (score of 1st placed system: 0.64) out of four according to this official score. However, we erroneously trained 2 out of 3 neural nets (the stacker and the CNN) on only roughly 15% of the full data, namely, the original development set. When trained on the full data (training+development), our ensemble has a micro-F 1 -score of 0.69. Our code is available from

Read the paper (pdf) »