Aspect-Based Sentiment Analysis(ABSA)is one of the essential research in the field of Natural Language Processing(NLP),of which Aspect Sentiment Quad Prediction(ASQP)is a novel and complete subtask.ASQP aims to accura...Aspect-Based Sentiment Analysis(ABSA)is one of the essential research in the field of Natural Language Processing(NLP),of which Aspect Sentiment Quad Prediction(ASQP)is a novel and complete subtask.ASQP aims to accurately recognize the sentiment quad in the target sentence,which includes the aspect term,the aspect category,the corresponding opinion term,and the sentiment polarity of opinion.Nevertheless,existing approaches lack knowledge of the sentence’s syntax,so despite recent innovations in ASQP,it is poor for complex cyber comment processing.Also,most research has focused on processing English text,and ASQP for Chinese text is almost non-existent.Chinese usage is more casual than English,and individual characters contain more information.We propose a novel syntactically enhanced neural network framework inspired by syntax knowledge enhancement strategies in other NLP studies.In this framework,part of speech(POS)and dependency trees are input to the model as auxiliary information to strengthen its cognition of Chinese text structure.Besides,we design a relation extraction module,which provides a bridge for the overall extraction of the framework.A comparison of the designed experiments reveals that our proposed strategy outperforms the previous studies on the key metric F1.Further experiments demonstrate that the auxiliary information added to the framework improves the final performance in different ways.展开更多
Aspect-Based Sentiment Analysis(ABSA)is a fundamental area of research in Natural Language Processing(NLP).Within ABSA,Aspect Sentiment Quad Prediction(ASQP)aims to accurately identify sentiment quadruplets in target ...Aspect-Based Sentiment Analysis(ABSA)is a fundamental area of research in Natural Language Processing(NLP).Within ABSA,Aspect Sentiment Quad Prediction(ASQP)aims to accurately identify sentiment quadruplets in target sentences,including aspect terms,aspect categories,corresponding opinion terms,and sentiment polarity.However,most existing research has focused on English datasets.Consequently,while ASQP has seen significant progress in English,the Chinese ASQP task has remained relatively stagnant.Drawing inspiration from methods applied to English ASQP,we propose Chinese generation templates and employ prompt-based instruction learning to enhance the model’s understanding of the task,ultimately improving ASQP performance in the Chinese context.Ultimately,under the same pre-training model configuration,our approach achieved a 5.79%improvement in the F1 score compared to the previously leading method.Furthermore,when utilizing a larger model with reduced training parameters,the F1 score demonstrated an 8.14%enhancement.Additionally,we suggest a novel evaluation metric based on the characteristics of generative models,better-reflecting model generalization.Experimental results validate the effectiveness of our approach.展开更多
Objective To review the major progress in mechanism of traditional Chinese medicine （TCM） in the treatment of allergic rhinitis （AR）. Methods Contents about the treatment mechanism of TCM in the therapy of AR in t...Objective To review the major progress in mechanism of traditional Chinese medicine （TCM） in the treatment of allergic rhinitis （AR）. Methods Contents about the treatment mechanism of TCM in the therapy of AR in this article were obtained from 22 original articles and reviews published in Chinese- and English-language journals. All of the references were searched by use of Pubmed （1997-2012）. Results AR is one of the most common and most serious public health problems in children and young people. Many AR patients were worried about the possible adverse effects of synthetic drugs they were taking. Thus, they seek complementary and alternative therapy, such as TCM. TCM emphasized on the importance of holistic convalescence, not just the disease itself. The favorable safety profile of TCM makes well-acceptance by the general population. In the recent decade, more and more studies of TCM for AR are developed. These studies indicated that the treatment of allergic disorders with TCM therapy including herbal medicines and acupuncture are of safety and efficacy. The mechanism of TCM in the treatment of AR has been discussed. It has been reported that a number of the herbs in the Chinese herbal formulae used in the treatment possess anti-allergic, anti-inflammatory or immune modulation activity. Such function include the inhibition of the release or the activity of mast cell mediators （such as histamine）, inhibition the induction of inflammation reaction by chemical agents, and down regulation of serum （immunoglobulin E） IgE levels or the activity of lymphocyte and/or macrophage. Conclusions TCM are frequently used concurrently to improve the clinical efficacy. This review is focuses on the description of the actions mechanism of Chinese medicine＇s approach relevant to the treatment of AR.展开更多
基金supported by the National Key Research and Development Program(No.2021YFF0901705,2021YFF0901700)the StateKey Laboratory ofMedia Convergence and Communication,Communication University of China+1 种基金the Fundamental Research Funds for the Central Universitiesthe High-quality and Cutting-edge Disciplines Construction Project for Universities in Beijing(Internet Information,Communication University of China).
文摘Aspect-Based Sentiment Analysis(ABSA)is one of the essential research in the field of Natural Language Processing(NLP),of which Aspect Sentiment Quad Prediction(ASQP)is a novel and complete subtask.ASQP aims to accurately recognize the sentiment quad in the target sentence,which includes the aspect term,the aspect category,the corresponding opinion term,and the sentiment polarity of opinion.Nevertheless,existing approaches lack knowledge of the sentence’s syntax,so despite recent innovations in ASQP,it is poor for complex cyber comment processing.Also,most research has focused on processing English text,and ASQP for Chinese text is almost non-existent.Chinese usage is more casual than English,and individual characters contain more information.We propose a novel syntactically enhanced neural network framework inspired by syntax knowledge enhancement strategies in other NLP studies.In this framework,part of speech(POS)and dependency trees are input to the model as auxiliary information to strengthen its cognition of Chinese text structure.Besides,we design a relation extraction module,which provides a bridge for the overall extraction of the framework.A comparison of the designed experiments reveals that our proposed strategy outperforms the previous studies on the key metric F1.Further experiments demonstrate that the auxiliary information added to the framework improves the final performance in different ways.
基金supported by the National Key Research and Development Program(Nos.2021YFF0901705,2021YFF0901700)the State Key Laboratory of Media Convergence and Communication,Communication University of China+1 种基金the Fundamental Research Funds for the Central Universitiesthe High-Quality and Cutting-Edge Disciplines Construction Project for Universities in Beijing(Internet Information,Communication University of China).
文摘Aspect-Based Sentiment Analysis(ABSA)is a fundamental area of research in Natural Language Processing(NLP).Within ABSA,Aspect Sentiment Quad Prediction(ASQP)aims to accurately identify sentiment quadruplets in target sentences,including aspect terms,aspect categories,corresponding opinion terms,and sentiment polarity.However,most existing research has focused on English datasets.Consequently,while ASQP has seen significant progress in English,the Chinese ASQP task has remained relatively stagnant.Drawing inspiration from methods applied to English ASQP,we propose Chinese generation templates and employ prompt-based instruction learning to enhance the model’s understanding of the task,ultimately improving ASQP performance in the Chinese context.Ultimately,under the same pre-training model configuration,our approach achieved a 5.79%improvement in the F1 score compared to the previously leading method.Furthermore,when utilizing a larger model with reduced training parameters,the F1 score demonstrated an 8.14%enhancement.Additionally,we suggest a novel evaluation metric based on the characteristics of generative models,better-reflecting model generalization.Experimental results validate the effectiveness of our approach.
文摘Objective To review the major progress in mechanism of traditional Chinese medicine （TCM） in the treatment of allergic rhinitis （AR）. Methods Contents about the treatment mechanism of TCM in the therapy of AR in this article were obtained from 22 original articles and reviews published in Chinese- and English-language journals. All of the references were searched by use of Pubmed （1997-2012）. Results AR is one of the most common and most serious public health problems in children and young people. Many AR patients were worried about the possible adverse effects of synthetic drugs they were taking. Thus, they seek complementary and alternative therapy, such as TCM. TCM emphasized on the importance of holistic convalescence, not just the disease itself. The favorable safety profile of TCM makes well-acceptance by the general population. In the recent decade, more and more studies of TCM for AR are developed. These studies indicated that the treatment of allergic disorders with TCM therapy including herbal medicines and acupuncture are of safety and efficacy. The mechanism of TCM in the treatment of AR has been discussed. It has been reported that a number of the herbs in the Chinese herbal formulae used in the treatment possess anti-allergic, anti-inflammatory or immune modulation activity. Such function include the inhibition of the release or the activity of mast cell mediators （such as histamine）, inhibition the induction of inflammation reaction by chemical agents, and down regulation of serum （immunoglobulin E） IgE levels or the activity of lymphocyte and/or macrophage. Conclusions TCM are frequently used concurrently to improve the clinical efficacy. This review is focuses on the description of the actions mechanism of Chinese medicine＇s approach relevant to the treatment of AR.
