A Hybrid Model for Community-Oriented Lexical Simplification-Reference-Cited by-同舟云学术

A Hybrid Model for Community-Oriented Lexical Simplification

Published:2020 Issue: Volume: Page:132-144
ISSN:0302-9743
Container-title:Natural Language Processing and Chinese Computing
language:
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Author:

Song Jiayin,Shen Yingshan,Lee John,Hao Tianyong

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-60450-9_11

Reference22 articles.

1. Kajiwara, T., Matsumoto, H., Yamamoto, K.: Selecting proper lexical paraphrase for children. In: The 25th Conference on Computational Linguistics and Speech Processing (ROCLING), pp. 59–73 (2013)

2. Lecture Notes in Computer Science;Q Zeng,2005

3. Education Bureau: Enhancing English vocabulary learning and teaching at secondary level. http://www.edb.gov.hk/vocab_learning_sec . Accessed: 05 2020

4. Song, J., Hu, J., Hao, T.: A new context-aware method based on hybrid ranking for community-oriented lexical simplification. In: The 6th International Symposium on Semantic Computing and Personalization (SeCoP). Springer (2020, in press)

5. Melamud, O., Goldberger, J., Dagan, I.: context2vec: learning generic context embedding with bidirectional LSTM. In: The 20th SIGNLL Conference on Computational Natural Language Learning, pp. 51–61 (2016)

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