Exploring Segment Representations for Neural Segmentation Models

Liu, Yijia; Che, Wanxiang; Guo, Jiang; Qin, Bing; Liu, Ting

Exploring Segment Representations for Neural Segmentation Models

Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu

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Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 2880-2885.

Abstract

Many natural language processing (NLP) tasks can be generalized into segmentation problem. In this paper, we combine semi-CRF with neural network to solve NLP segmentation tasks. Our model represents a segment both by composing the input units and embedding the entire segment. We thoroughly study different composition functions and different segment embeddings. We conduct extensive experiments on two typical segmentation tasks: named entity recognition (NER) and Chinese word segmentation (CWS). Experimental results show that our neural semi-CRF model benefits from representing the entire segment and achieves the state-of-the-art performance on CWS benchmark dataset and competitive results on the CoNLL03 NER dataset.

Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, and Ting Liu. 2016. Exploring Segment Representations for Neural Segmentation Models. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16. IJCAI, 2880–2885. https://ijcai.org/proceedings/2016/409

@inproceedings{ijcai2016p409,
  title     = {Exploring Segment Representations for Neural Segmentation Models},
  author    = {Liu, Yijia and Che, Wanxiang and Guo, Jiang and Qin, Bing and Liu, Ting},
  booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
               Artificial Intelligence, {IJCAI-16}},
  publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
  editor    = {Subbarao Kambhampati},
  pages     = {2880--2885},
  year      = {2016},
  month     = {7},
  url       = {https://ijcai.org/proceedings/2016/409},
}

TY  - CPAPER
TI  - Exploring Segment Representations for Neural Segmentation Models
AU  - Liu, Yijia
AU  - Che, Wanxiang
AU  - Guo, Jiang
AU  - Qin, Bing
AU  - Liu, Ting
T2  - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16
PB  - AAAI Press / International Joint Conferences on Artificial Intelligence
PY  - 2016
SP  - 2880
EP  - 2885
UR  - https://ijcai.org/proceedings/2016/409
ER  -