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  1. No Access

    Chapter and Conference Paper

    Dependency-Type Weighted Graph Convolutional Network on End-to-End Aspect-Based Sentiment Analysis

    Previous studies consider little on using dependency-type messages in the E2E-ABSA task. Studies using dependency-type messages just contact the dependency-type message and word embedding vectors, which may no...

    Yusong Mu, Shumin Shi in Intelligent Information Processing XII (2024)

  2. No Access

    Chapter and Conference Paper

    Characteristic Analysis of Torque Monitoring and Limiting Technology of High-Lift System

    In terms of the disadvantages of the traditional mechanical Torque Limiter (TL) of high-lift system, such as heavy and failure on-line monitoring, an electronic torque monitoring and limiting technology is pro...

    Ning Kang, Tingting Wang, Youmin Shi in Advances in Guidance, Navigation and Control (2023)

  3. No Access

    Chapter and Conference Paper

    Interest Aware Dual-Channel Graph Contrastive Learning for Session-Based Recommendation

    The key issue of session-based recommendation (SBR) is how to efficiently predict the next interaction item based on the item sequence of anonymous users. In order to mine the complex multivariate relationship...

    Sichen Liu, Shumin Shi, Dongyang Liu in Natural Language Processing and Chinese Computing (2023)

  4. No Access

    Chapter and Conference Paper

    LACNNER: Lexicon-Aware Character Representation for Chinese Nested Named Entity Recognition

    Named Entity Recognition (NER) is one of fundamental researches in natural language processing. Chinese nested-NER is even more challenging. Recently, studies on NER have generally focused on the extraction of...

    Zhikun Yang, Shumin Shi, Junyu Tian, En Li, Heyan Huang in Advances in Swarm Intelligence (2022)

  5. 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)

  6. No Access

    Chapter and Conference Paper

    Augmenting Context Representation with Triggers Knowledge for Relation Extraction

    Relation Extraction (RE) requires the model to classify the correct relation from a set of relation candidates given the corresponding sentence and two entities. Recent work mainly studies how to utilize more ...

    En Li, Shumin Shi, Zhikun Yang, He Yan Huang in Intelligent Information Processing XI (2022)

  7. 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)

  8. 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)

  9. No Access

    Chapter

    Importance of Nutrition Intervention in Autistic Patients

    Along with the issues of inflated social and financial burden associated with autism spectrum disorder (ASD), specific treatment for this disorder has also not been developed. Having a thorough look at previou...

    Tahra ElObeid, Joyce Moawad, Zumin Shi in Personalized Food Intervention and Therapy… (2020)

  10. 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)

  11. 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)

  12. No Access

    Chapter and Conference Paper

    Tibetan Syllable-Based Functional Chunk Boundary Identification

    Tibetan syntactic functional chunk parsing is aimed at identifying syntactic constituents of Tibetan sentences. In this paper, based on the Tibetan syntactic functional chunk description system, we propose a m...

    Shumin Shi, Yujian Liu, Tianhang Wang in Chinese Computational Linguistics and Natu… (2017)

  13. 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)

  14. No Access

    Chapter and Conference Paper

    Identifying Suspected Cybermob on Tieba

    This paper describes an approach to identify suspected cybermob on social media. Many researches involve making predictions of group emotion on Internet (such as quantifying sentiment polarity), but this paper...

    Shumin Shi, **nyu Zhou, Meng Zhao in Chinese Computational Linguistics and Natu… (2016)

  15. No Access

    Chapter and Conference Paper

    Chinese Text Analysis Based on Minimal Recursion Semantics

    Minimal Recursion Semantics (MRS) is a framework for computational semantics that is suitable for parsing and generation. To represent Chinese texts using MRS, we built a lexicon with the rich semantic knowled...

    Chao Su, Heyan Huang, Shumin Shi, ** Jian in Chinese Lexical Semantics (2015)

  16. 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)

  17. No Access

    Chapter and Conference Paper

    Named Entity Recognition Based on Bilingual Co-training

    Named entity recognition (NER) is a very important task in natural language processing (NLP). In this paper we present a semi-supervised approach to extract bilingual named entity, starting from a bilingual co...

    Yegang Li, Heyan Huang, **ngjian Zhao, Shumin Shi in Chinese Lexical Semantics (2013)

  18. No Access

    Chapter and Conference Paper

    Arc Interpolation Control of Numerical Control Machine Tools and Its Realization Based on Multi-axis Motion Control Card

    In order to deduce the algorithm of arc interpolation control of numerical control machine tools and realize its visualization control, the paper studied the interpolation principle and edited the procedure of...

    **umin Shi, Yi Dai, Xuecui Yang, Wei Liu in Software Engineering and Knowledge Enginee… (2012)