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  1. No Access

    Chapter and Conference Paper

    Unsupervised Style Control for Image Captioning

    We propose a novel unsupervised image captioning method. Image captioning involves two fields of deep learning, natural language processing and computer vision. The excessive pursuit of model evaluation result...

    Junyu Tian, Zhikun Yang, Shumin Shi in Data Science (2022)

  2. No Access

    Chapter and Conference Paper

    Improving Non-autoregressive Machine Translation with Soft-Masking

    In recent years, non-autoregressive machine translation has achieved great success due to its promising inference speedup. Non-autoregressive machine translation reduces the decoding latency by generating the ...

    Shuheng Wang, Shumin Shi, Heyan Huang in Natural Language Processing and Chinese Computing (2021)

  3. No Access

    Chapter and Conference Paper

    Weighted Aggregator for the Open-World Knowledge Graph Completion

    Open-world knowledge graph completion aims to find a set of missing triples through entity description, where entities can be either in or out of the graph. However, when aggregating entity description’s word ...

    Yueyang Zhou, Shumin Shi, Heyan Huang in Data Science (2020)

  4. No Access

    Article

    Map** sentences to concept transferred space for semantic textual similarity

    Semantic textual similarity ( \(\mathcal {STS}\) STS

    Heyan Huang, Hao Wu, **aochi Wei, Yang Gao, Shumin Shi in Knowledge and Information Systems (2019)

  5. No Access

    Chapter and Conference Paper

    Combining External Sentiment Knowledge for Emotion Cause Detection

    Emotion cause detection (ECD) that aims to extract the trigger event of a certain emotion explicitly expressed in text has become a hot topic in natural language processing. However, the performance of existi...

    Jiaxing Hu, Shumin Shi, Heyan Huang in Natural Language Processing and Chinese Computing (2019)

  6. No Access

    Chapter and Conference Paper

    Assembling Chinese-Mongolian Speech Corpus via Crowdsourcing

    Chinese-Mongolian Speech Corpus (CMSC) is utilized in many practical applications in recent years, and it is a kind of low-resource corpus due to its high-cost construction. We describe a crowdsourcing method...

    Rihai Su, Shumin Shi, Meng Zhao, Heyan Huang in Advances in Swarm Intelligence (2017)

  7. No Access

    Chapter and Conference Paper

    Utilizing Crowdsourcing for the Construction of Chinese-Mongolian Speech Corpus with Evaluation Mechanism

    Crowdsourcing has been used recently as an alternative to traditional costly annotation by many natural language processing groups. In this paper, we explore the use of Wechat Official Account Platform (WOAP) ...

    Rihai Su, Shumin Shi, Meng Zhao, Heyan Huang in Data Science (2017)

  8. No Access

    Chapter and Conference Paper

    A Method of Polarity Computation of Chinese Sentiment Words Based on Gaussian Distribution

    Internet has become an excellent source for gathering consumer reviews, while opinion of consumer reviews expressed in sentiment words. However, due to the fuzziness of Chinese word itself, the sentiment judgm...

    Rui**g Li, Shumin Shi, Heyan Huang, Chao Su in Computational Linguistics and Intelligent … (2014)