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        <title>Chinese Long and Short Form Choice Exploiting Neural Network Language Modeling Approaches</title>
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        <namePart type="given">Kees</namePart>
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            <title>Proceedings of the 19th Chinese National Conference on Computational Linguistics</title>
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            <namePart type="given">Maosong</namePart>
            <namePart type="family">Sun</namePart>
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            <namePart type="given">Sujian</namePart>
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            <namePart type="given">Yue</namePart>
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            <namePart type="given">Yang</namePart>
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            <publisher>Chinese Information Processing Society of China</publisher>
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    <abstract>This paper presents our work in long and short form choice, a significant question of lexical choice, which plays an important role in many Natural Language Understanding tasks. Long and short form sharing at least one identical word meaning but with different number of syllables is a highly frequent linguistic phenomenon in Chinese like 老虎-虎(laohu-hu, tiger)</abstract>
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%0 Conference Proceedings
%T Chinese Long and Short Form Choice Exploiting Neural Network Language Modeling Approaches
%A Li, Lin
%A van Deemter, Kees
%A Paperno, Denis
%Y Sun, Maosong
%Y Li, Sujian
%Y Zhang, Yue
%Y Liu, Yang
%S Proceedings of the 19th Chinese National Conference on Computational Linguistics
%D 2020
%8 October
%I Chinese Information Processing Society of China
%C Haikou, China
%G English
%F li-etal-2020-chinese
%X This paper presents our work in long and short form choice, a significant question of lexical choice, which plays an important role in many Natural Language Understanding tasks. Long and short form sharing at least one identical word meaning but with different number of syllables is a highly frequent linguistic phenomenon in Chinese like 老虎-虎(laohu-hu, tiger)
%U https://aclanthology.org/2020.ccl-1.81
%P 874-880

Markdown (Informal)

[Chinese Long and Short Form Choice Exploiting Neural Network Language Modeling Approaches](https://aclanthology.org/2020.ccl-1.81) (Li et al., CCL 2020)

• Chinese Long and Short Form Choice Exploiting Neural Network Language Modeling Approaches (Li et al., CCL 2020)

ACL

• Lin Li, Kees van Deemter, and Denis Paperno. 2020. Chinese Long and Short Form Choice Exploiting Neural Network Language Modeling Approaches. In Proceedings of the 19th Chinese National Conference on Computational Linguistics, pages 874–880, Haikou, China. Chinese Information Processing Society of China.