NLPIR SEMINAR Y2019#11
In the new semester, our Lab, Web Search Mining and Security Lab, plans to hold an academic seminar every Monday, and each time a keynote speaker will share understanding of papers on his/her related research with you.
This week’s seminar is organized as follows:
- The seminar time is 1.pm, Mon, at Zhongguancun Technology Park ,Building 5, 1306.
- The lecturer is Zhaoyang Wang , the paper’s title is End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF.
- The seminar will be hosted by Qinghong Jiang.
- Attachment is the paper of this seminar, please download in advance.
Everyone interested in this topic is welcomed to join us. the following is the abstract for this week’s paper.
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Xuezhe Ma and Eduard Hovy
State-of-the-art sequence labeling
systems traditionally require large amounts of task-specific knowledge in the
form of handcrafted features and data pre-processing. In this paper, we
introduce a novel neutral network architecture that benefits from both word-
and character-level representations automatically, by using combination of
bidirectional LSTM, CNN and CRF. Our system is truly end-to-end, requiring no
feature engineering or data preprocessing, thus making it applicable to a wide
range of sequence labeling tasks. We evaluate our system on two data sets for
two sequence labeling tasks — Penn Treebank WSJ corpus for part-of-speech (POS)
tagging and CoNLL 2003 corpus for named entity recognition (NER). We obtain
state-of-the-art performance on both datasets—97.55% accuracy for POS tagging
and 91.21% F1 for NER.