The study employs discourse analysis as an analytical methodology,integrating stancetaking and positioning theories as theoretical frameworks,analyzing a post published by an in-service teacher and its related comment...The study employs discourse analysis as an analytical methodology,integrating stancetaking and positioning theories as theoretical frameworks,analyzing a post published by an in-service teacher and its related comments on RED,to explore the stancetaking of junior high school English teachers on social platforms in the mainland of China.This paper is expected to provide effective suggestions for enhancing the positive influence of front-line teachers on social media and facilitating the development of their teaching profession amidst the backdrop of educational informatization.展开更多
The task of cross-target stance detection faces significant challenges due to the lack of additional background information in emerging knowledge domains and the colloquial nature of language patterns.Traditional stan...The task of cross-target stance detection faces significant challenges due to the lack of additional background information in emerging knowledge domains and the colloquial nature of language patterns.Traditional stance detection methods often struggle with understanding limited context and have insufficient generalization across diverse sentiments and semantic structures.This paper focuses on effectively mining and utilizing sentimentsemantics knowledge for stance knowledge transfer and proposes a sentiment-aware hierarchical attention network(SentiHAN)for cross-target stance detection.SentiHAN introduces an improved hierarchical attention network designed to maximize the use of high-level representations of targets and texts at various fine-grain levels.This model integrates phrase-level combinatorial sentiment knowledge to effectively bridge the knowledge gap between known and unknown targets.By doing so,it enables a comprehensive understanding of stance representations for unknown targets across different sentiments and semantic structures.The model’s ability to leverage sentimentsemantics knowledge enhances its performance in detecting stances that may not be directly observable from the immediate context.Extensive experimental results indicate that SentiHAN significantly outperforms existing benchmark methods in terms of both accuracy and robustness.Moreover,the paper employs ablation studies and visualization techniques to explore the intricate relationship between sentiment and stance.These analyses further confirm the effectiveness of sentence-level combinatorial sentiment knowledge in improving stance detection capabilities.展开更多
This study examines how writer stance is projected in citation from a comparative perspective.The dataset consisted of 120 qualitative and quantitative research articles(RAs)that were authored by Anglophone and Chines...This study examines how writer stance is projected in citation from a comparative perspective.The dataset consisted of 120 qualitative and quantitative research articles(RAs)that were authored by Anglophone and Chinese applied linguists.ANO?VA tests revealed marked cross-language and cross-paradigmatic differences in stance-based dialogic engagement.展开更多
In the task of multi-target stance detection,there are problems the mutual influence of content describing different targets,resulting in reduction in accuracy.To solve this problem,a multi-target stance detection alg...In the task of multi-target stance detection,there are problems the mutual influence of content describing different targets,resulting in reduction in accuracy.To solve this problem,a multi-target stance detection algorithm based on a bidirectional long short-term memory(Bi-LSTM)network with position-weight is proposed.First,the corresponding position of the target in the input text is calculated with the ultimate position-weight vector.Next,the position information and output from the Bi-LSTM layer are fused by the position-weight fusion layer.Finally,the stances of different targets are predicted using the LSTM network and softmax classification.The multi-target stance detection corpus of the American election in 2016 is used to validate the proposed method.The results demonstrate that the Bi-LSTM network with position-weight achieves an advantage of 1.4%in macro average F1 value in the comparison of recent algorithms.展开更多
This study aimed to investigate the characteristics of the coupling of the center of pressure (COP) movement and toes in older adults during one-legged standing (OLS). Participants were community dwelling older and yo...This study aimed to investigate the characteristics of the coupling of the center of pressure (COP) movement and toes in older adults during one-legged standing (OLS). Participants were community dwelling older and younger adults. Toe vertical force during the OLS was recorded using a plantar-pressure distribution system, and the vertical forces in the hallux, little toe, and the first and fifth metatarsophalangeal (MP) joints were analyzed. A cross-correlation function was performed to examine the coordination between toes and between COP movement and four regions of the foot. The cross-correlation functions showed no significant difference in coefficients between toes. The OLS duration in the older adults was significantly correlated with the coefficient between the medial-lateral component of the COP and the first MP region. This study suggests that it is important to press the first MP region appropriately relative to COP movement to maintain the OLS.展开更多
Based on Hyland’s(2005)framework of stance,this study explored the distribution of authorial stance used by undergraduates in their BA thesis.Through two self-built corpora,the result of the study shows that the use ...Based on Hyland’s(2005)framework of stance,this study explored the distribution of authorial stance used by undergraduates in their BA thesis.Through two self-built corpora,the result of the study shows that the use of stance markers in the corpora displays the following sequence:hedges>boosters>attitude markers>self-mentions.Further analysis on each stance marker reveals that undergraduates,as novice academic writers,have some problems with appropriately using stance markers in their academic discourses.The results provide some implications for both student writers and teachers of academic writing.展开更多
A cross-continent operation against illegal wildlife trade was conducted from December 30, 2013, to January 26. 2014. The operation, codenamed Cobra II. was co-or- ganized by China, the United States, South Africa. t...A cross-continent operation against illegal wildlife trade was conducted from December 30, 2013, to January 26. 2014. The operation, codenamed Cobra II. was co-or- ganized by China, the United States, South Africa. the Lusaka Agreement Task Force （LATF）, the ASEAN Wild- life Enforcement Network and the South Asia Wildlife Enforcement Network. along with the support of the Convention on International Trade in Endangered Species of Wild Fauna and Flora （CITES）, the World Customs Organization and Interpol. The global crackdown focused on key species that are subject to illegal trade and achieved ＂excellent＂ results, according to john E. Scanlon, Secretary General of the CITES.展开更多
CHINA＇S capital Beijing is home to about 120,000 foreign na- tionals. Their rising numbers add to the city＇s diversity and dynamism, but also pose a challenge - an administrative challenge - for government at differ...CHINA＇S capital Beijing is home to about 120,000 foreign na- tionals. Their rising numbers add to the city＇s diversity and dynamism, but also pose a challenge - an administrative challenge - for government at different levels. A 100-day crackdown launched in May marks the country＇s first open attempt to target illegal aliens in Beijing.展开更多
30 June Revolution and the military support that followed on 3rd of july are seen as controversial events that have led to redefining the key actors in the Egyptian authorities at that time:Muslim Brotherhood and the ...30 June Revolution and the military support that followed on 3rd of july are seen as controversial events that have led to redefining the key actors in the Egyptian authorities at that time:Muslim Brotherhood and the Egyptian Military.As new photos play an important role in promoting certain political aspects,the current study examines the Al Jazeera's feature stories photos on this event.In doing so,the study synthesizes Appraisal theory with intertextuality and visual social actor representation.It takes from the issue of an intertextual view of evaluative stance as its point of departure.The concept of intertextuality is then related to the visual and hypertextual properties of online feature stories.The study finds that the photos depicting the military and security forces resort to certain visual techniques that emphasize the condemnation and criticism of such institutions.On the other hand,the Al Jazeera online visually evaluates the Brotherhood Group and the supporters of Morsi positively.展开更多
The paediatric online consultative forum,where putative patients interact with physicians,has become a lifesaver for many,especially during the covID-19 lockdown era in Nigeria.Examining the affective stance expressed...The paediatric online consultative forum,where putative patients interact with physicians,has become a lifesaver for many,especially during the covID-19 lockdown era in Nigeria.Examining the affective stance expressed by mothers in this asynchronous discourse from the linguistic perspective adds to the few existing studies on telemedicine and reveals the plight of mothers and their children in Nigeria.This study examines the discourse patterns of affective stance and its linguistic markers in online consultative encounters.Using the purposive random sampling method,80 posts on the Facebook account“Ask the Paediatricians"”between May and June 2020 and analysed using stance theory.Findings show that mothers express affectivity as interrogative,attention and hypothetical markers to project their concerns,worries,and curiosity about their children's health status,e.g.,breastfeeding,immunization,stools abnormalities,nutrition,fever,refluxing babies among others.Self-mentions and attitude markers are the two linguistic markers predominantly deployed in expressing affective stance.While the instances of self-mentions index affective representation,attitude markers,on the other hand,foreground affective attitude toward the propositions expressed.The above implies the level of emotional conditions of motherhood and sociocultural experiences of Nigerian women in the context of telemedicine encounters in child health studies.展开更多
Stance detection is the view towards a specific target by a given context(e.g.tweets,commercial reviews).Target-related knowledge is often needed to assist stance detection models in understanding the target well and ...Stance detection is the view towards a specific target by a given context(e.g.tweets,commercial reviews).Target-related knowledge is often needed to assist stance detection models in understanding the target well and making detection correctly.However,prevailing works for knowledge-infused stance detection predominantly incorporate target knowledge from a singular source that lacks knowledge verification in limited domain knowledge.The low-resource training data further increase the challenge for the data-driven large models in this task.To address those challenges,we propose a collaborative knowledge infusion approach for low-resource stance detection tasks,employing a combination of aligned knowledge enhancement and efficient parameter learning techniques.Specifically,our stance detection approach leverages target background knowledge collaboratively from different knowledge sources with the help of knowledge alignment.Additionally,we also introduce the parameter-efficient collaborative adaptor with a staged optimization algorithm,which collaboratively addresses the challenges associated with low-resource stance detection tasks from both network structure and learning perspectives.To assess the effectiveness of our method,we conduct extensive experiments on three public stance detection datasets,including low-resource and cross-target settings.The results demonstrate significant performance improvements compared to the existing stance detection approaches.展开更多
The degree and scope of constraints imposed by International Organizations(IOs)on States are increasing,and identifying the factors affecting the IOs’stances on States is helpful to enhance the state's discourse ...The degree and scope of constraints imposed by International Organizations(IOs)on States are increasing,and identifying the factors affecting the IOs’stances on States is helpful to enhance the state's discourse power and influence in the international community.First,by coding the records of Regular Press Conferences of the Speaking Office of the Chinese Ministry of Foreign Affairs during the period of 20182022,we obtained a dataset of IOs’stances on China-related events.Second,we constructed political relation,economic relation,and humanistic relation indicators to complement the influence factors,adopted the Bayesian logit model,and applied the Monte Carlo Markov chain algorithm and Gibbs sampling to analyze the probability of IOs’positive stances towards China.The result shows that IOs’category,length of establishment,functional position,and relationship with China are all related to their tendency of making a statement about China.In terms of the heterogeneity of event types,forum-type IOs are significantly inclined to give positive assessment compared to service-type IOs on events focusing on China's own development.Further analysis reveals that the model for analyzing and predicting the attitudes of IOs is more effective when the international situation is in a stable period.展开更多
Stance detection aims to automatically determine whether the author is in favor of or against a given target.In principle,the sentiment information of a post highly influences the stance.In this study,we aim to levera...Stance detection aims to automatically determine whether the author is in favor of or against a given target.In principle,the sentiment information of a post highly influences the stance.In this study,we aim to leverage the sentiment information of a post to improve the performance of stance detection.However,conventional discrete models with sentimental features can cause error propagation.We thus propose a joint neural network model to predict the stance and sentiment of a post simultaneously,because the neural network model can learn both representation and interaction between the stance and sentiment collectively.Specifically, we first learn a deep shared representation between stance and sentiment information,and then use a neural stacking model to leverage sentimental information for the stance detection task.Empirical studies demonstrate the effectiveness of our proposed joint neural model.展开更多
This paper reports on an inquiry into the construction of stance in finite reporting that-clauses. The data were drawn from two corpora of academic papers from a journal in the discipline of Applied Linguistics writte...This paper reports on an inquiry into the construction of stance in finite reporting that-clauses. The data were drawn from two corpora of academic papers from a journal in the discipline of Applied Linguistics written by different language users： native speakers of English and Chinese writers using English as L2. By drawing on Sindair＇s distinction between ＂averral＂ and ＂attribution,＂ as well as Martin and White＇s notion of extra-vocalization, this paper sets up a framework for analyzing the sources in reporting clauses in order to examine how the writers construe their stances as visible, hedged or concealed. The study found that for self-sourced reports, the L2 writers are inclined to avoid direct self-mention which shows the greatest writer visibility, but instead use hidden averral with internal attribution. As for other-sourced reports, L2 writers prefer reporting verbs which are strong in the strength of attitude to make a much more definite and stronger claim, while native writers tactically use the moderate verbs and boosting expressions to construct more flexible stances. These discrepancies are likely to result from the disciplinary characteristics which are both community-based and context-situated.展开更多
This study investigated the validity and sensitivity of a custom-made shoelace tensile testing system.The aim was to analyze the distribution pattern of shoelace tension in different positions and under different tigh...This study investigated the validity and sensitivity of a custom-made shoelace tensile testing system.The aim was to analyze the distribution pattern of shoelace tension in different positions and under different tightness levels during running.Mechanical tests were conducted using 16 weights,and various statistical analyses,including linear regression,Bland-Altman plots,coefficient of variation,and intraclass correlation coefficient,were performed to assess the system’s validity.Fifteen male amateur runners participated in the study,and three conditions(loose,comfortable,and tight)were measured during an upright stance.The system utilized VICON motion systems,a Kistler force plate,and a Photoelectric gate speed measurement system.Results showed a linear relationship between voltage and load at the three sensors(R2≥0.9997).Bland-Altman plots demonstrated 95%prediction intervals within±1.96SD from zero for all sensors.The average coefficient of variation for each sensor was less than 0.38%.Intraclass correlation coefficient values were larger than 0.999(p<0.0001)for each sensor.The peak tension of the front shoelace was greater than that of the front and middle when the shoelace was loose and tight.The rear shoelace had the highest tension force.The study also found that shoelace tension varied throughout the gait cycle during running.Overall,this research provides a novel and validated method for measuring shoelace tensile stress,which has implications for developing automatic shoelace fastening systems.展开更多
Authorial stance has attracted increasing attention in the study of second language writing. Many studies have focused on certainty in students’ academic writing, but little attention has been paid to generality in s...Authorial stance has attracted increasing attention in the study of second language writing. Many studies have focused on certainty in students’ academic writing, but little attention has been paid to generality in students’ academic stance. Employing a corpus-based approach, this study investigates features of generality in Chinese EFL students’ stance in academic writing through comparison with the writing of international scholars. Results show that the Chinese EFL students employed significantly more generalization markers than international scholars in their academic writing, while the international scholars used more qualified generalizations. Moreover, clear differences in the focus of generalization markers and in the distribution of qualified generalizations were found, though the two groups exhibit similar tendencies in the functions of these generalization features. The findings suggest that Chinese EFL students tend to generalize their claims to a larger scope in order to make their academic writing more persuasive, leaving an impression of exaggeration and overstatement, whereas international scholars are more likely to restrict the use of generality markers in their academic writing, making more circumscribed claims. The results have practical and pedagogical implications for second language academic writing instruction.展开更多
Recent research on academic discourse has revealed the intersection of writing and writer identity construction. However, some terms that are being used in writer identity study are sometimes not only interchangeably ...Recent research on academic discourse has revealed the intersection of writing and writer identity construction. However, some terms that are being used in writer identity study are sometimes not only interchangeably used without making an explicit connection between them but also used in a way that may cause misunderstanding. The paper is intended to tease out four key terms, namely, stance, voice, self, and identity so that the respective role that each plays in academic written discourse can be differentiated on the one hand, and their interrelationship can be clarified on the other. It is hoped that such a panoramic picture can offer some pedagogical implications for academic writing teaching and research and provide some insights into the research on writer identity construction in academic written discourse as well.展开更多
Despite rebukes against pro-independence Taiwan leader Chen Shui-bian's move to disrupt peace and stability across the Taiwan Strait, the mainland remains active in pushing forward links with the island. Sun Sheng...Despite rebukes against pro-independence Taiwan leader Chen Shui-bian's move to disrupt peace and stability across the Taiwan Strait, the mainland remains active in pushing forward links with the island. Sun Shengliang, a research fellow at the Institute of Taiwan Studies under the Chinese Academy of Social Sciences, analyzes the mainland's stance and efforts in cross-strait relations. Following are excerpts of his article carried in the People's Daily Overseas Edition:展开更多
文摘The study employs discourse analysis as an analytical methodology,integrating stancetaking and positioning theories as theoretical frameworks,analyzing a post published by an in-service teacher and its related comments on RED,to explore the stancetaking of junior high school English teachers on social platforms in the mainland of China.This paper is expected to provide effective suggestions for enhancing the positive influence of front-line teachers on social media and facilitating the development of their teaching profession amidst the backdrop of educational informatization.
基金supported by the National Social Science Fund of China(20BXW101)。
文摘The task of cross-target stance detection faces significant challenges due to the lack of additional background information in emerging knowledge domains and the colloquial nature of language patterns.Traditional stance detection methods often struggle with understanding limited context and have insufficient generalization across diverse sentiments and semantic structures.This paper focuses on effectively mining and utilizing sentimentsemantics knowledge for stance knowledge transfer and proposes a sentiment-aware hierarchical attention network(SentiHAN)for cross-target stance detection.SentiHAN introduces an improved hierarchical attention network designed to maximize the use of high-level representations of targets and texts at various fine-grain levels.This model integrates phrase-level combinatorial sentiment knowledge to effectively bridge the knowledge gap between known and unknown targets.By doing so,it enables a comprehensive understanding of stance representations for unknown targets across different sentiments and semantic structures.The model’s ability to leverage sentimentsemantics knowledge enhances its performance in detecting stances that may not be directly observable from the immediate context.Extensive experimental results indicate that SentiHAN significantly outperforms existing benchmark methods in terms of both accuracy and robustness.Moreover,the paper employs ablation studies and visualization techniques to explore the intricate relationship between sentiment and stance.These analyses further confirm the effectiveness of sentence-level combinatorial sentiment knowledge in improving stance detection capabilities.
文摘This study examines how writer stance is projected in citation from a comparative perspective.The dataset consisted of 120 qualitative and quantitative research articles(RAs)that were authored by Anglophone and Chinese applied linguists.ANO?VA tests revealed marked cross-language and cross-paradigmatic differences in stance-based dialogic engagement.
基金Supported by the National Natural Science Foundation of China(No.61972040)the Science and Technology Projects of Beijing Municipal Education Commission(No.KM201711417011)the Premium Funding Project for Academic Human Resources Development in Beijing Union University(No.BPHR2020AZ03)。
文摘In the task of multi-target stance detection,there are problems the mutual influence of content describing different targets,resulting in reduction in accuracy.To solve this problem,a multi-target stance detection algorithm based on a bidirectional long short-term memory(Bi-LSTM)network with position-weight is proposed.First,the corresponding position of the target in the input text is calculated with the ultimate position-weight vector.Next,the position information and output from the Bi-LSTM layer are fused by the position-weight fusion layer.Finally,the stances of different targets are predicted using the LSTM network and softmax classification.The multi-target stance detection corpus of the American election in 2016 is used to validate the proposed method.The results demonstrate that the Bi-LSTM network with position-weight achieves an advantage of 1.4%in macro average F1 value in the comparison of recent algorithms.
文摘This study aimed to investigate the characteristics of the coupling of the center of pressure (COP) movement and toes in older adults during one-legged standing (OLS). Participants were community dwelling older and younger adults. Toe vertical force during the OLS was recorded using a plantar-pressure distribution system, and the vertical forces in the hallux, little toe, and the first and fifth metatarsophalangeal (MP) joints were analyzed. A cross-correlation function was performed to examine the coordination between toes and between COP movement and four regions of the foot. The cross-correlation functions showed no significant difference in coefficients between toes. The OLS duration in the older adults was significantly correlated with the coefficient between the medial-lateral component of the COP and the first MP region. This study suggests that it is important to press the first MP region appropriately relative to COP movement to maintain the OLS.
基金supported by the Fundamental Research Funds for the Central Universities(WUT:215217002).
文摘Based on Hyland’s(2005)framework of stance,this study explored the distribution of authorial stance used by undergraduates in their BA thesis.Through two self-built corpora,the result of the study shows that the use of stance markers in the corpora displays the following sequence:hedges>boosters>attitude markers>self-mentions.Further analysis on each stance marker reveals that undergraduates,as novice academic writers,have some problems with appropriately using stance markers in their academic discourses.The results provide some implications for both student writers and teachers of academic writing.
文摘A cross-continent operation against illegal wildlife trade was conducted from December 30, 2013, to January 26. 2014. The operation, codenamed Cobra II. was co-or- ganized by China, the United States, South Africa. the Lusaka Agreement Task Force （LATF）, the ASEAN Wild- life Enforcement Network and the South Asia Wildlife Enforcement Network. along with the support of the Convention on International Trade in Endangered Species of Wild Fauna and Flora （CITES）, the World Customs Organization and Interpol. The global crackdown focused on key species that are subject to illegal trade and achieved ＂excellent＂ results, according to john E. Scanlon, Secretary General of the CITES.
文摘CHINA＇S capital Beijing is home to about 120,000 foreign na- tionals. Their rising numbers add to the city＇s diversity and dynamism, but also pose a challenge - an administrative challenge - for government at different levels. A 100-day crackdown launched in May marks the country＇s first open attempt to target illegal aliens in Beijing.
文摘30 June Revolution and the military support that followed on 3rd of july are seen as controversial events that have led to redefining the key actors in the Egyptian authorities at that time:Muslim Brotherhood and the Egyptian Military.As new photos play an important role in promoting certain political aspects,the current study examines the Al Jazeera's feature stories photos on this event.In doing so,the study synthesizes Appraisal theory with intertextuality and visual social actor representation.It takes from the issue of an intertextual view of evaluative stance as its point of departure.The concept of intertextuality is then related to the visual and hypertextual properties of online feature stories.The study finds that the photos depicting the military and security forces resort to certain visual techniques that emphasize the condemnation and criticism of such institutions.On the other hand,the Al Jazeera online visually evaluates the Brotherhood Group and the supporters of Morsi positively.
文摘The paediatric online consultative forum,where putative patients interact with physicians,has become a lifesaver for many,especially during the covID-19 lockdown era in Nigeria.Examining the affective stance expressed by mothers in this asynchronous discourse from the linguistic perspective adds to the few existing studies on telemedicine and reveals the plight of mothers and their children in Nigeria.This study examines the discourse patterns of affective stance and its linguistic markers in online consultative encounters.Using the purposive random sampling method,80 posts on the Facebook account“Ask the Paediatricians"”between May and June 2020 and analysed using stance theory.Findings show that mothers express affectivity as interrogative,attention and hypothetical markers to project their concerns,worries,and curiosity about their children's health status,e.g.,breastfeeding,immunization,stools abnormalities,nutrition,fever,refluxing babies among others.Self-mentions and attitude markers are the two linguistic markers predominantly deployed in expressing affective stance.While the instances of self-mentions index affective representation,attitude markers,on the other hand,foreground affective attitude toward the propositions expressed.The above implies the level of emotional conditions of motherhood and sociocultural experiences of Nigerian women in the context of telemedicine encounters in child health studies.
基金supported by the RCA founding of A*STAR and DSO National Laboratory(Nos.2208-526-RCA-CFAR and SC23/22-3204FA)。
文摘Stance detection is the view towards a specific target by a given context(e.g.tweets,commercial reviews).Target-related knowledge is often needed to assist stance detection models in understanding the target well and making detection correctly.However,prevailing works for knowledge-infused stance detection predominantly incorporate target knowledge from a singular source that lacks knowledge verification in limited domain knowledge.The low-resource training data further increase the challenge for the data-driven large models in this task.To address those challenges,we propose a collaborative knowledge infusion approach for low-resource stance detection tasks,employing a combination of aligned knowledge enhancement and efficient parameter learning techniques.Specifically,our stance detection approach leverages target background knowledge collaboratively from different knowledge sources with the help of knowledge alignment.Additionally,we also introduce the parameter-efficient collaborative adaptor with a staged optimization algorithm,which collaboratively addresses the challenges associated with low-resource stance detection tasks from both network structure and learning perspectives.To assess the effectiveness of our method,we conduct extensive experiments on three public stance detection datasets,including low-resource and cross-target settings.The results demonstrate significant performance improvements compared to the existing stance detection approaches.
文摘The degree and scope of constraints imposed by International Organizations(IOs)on States are increasing,and identifying the factors affecting the IOs’stances on States is helpful to enhance the state's discourse power and influence in the international community.First,by coding the records of Regular Press Conferences of the Speaking Office of the Chinese Ministry of Foreign Affairs during the period of 20182022,we obtained a dataset of IOs’stances on China-related events.Second,we constructed political relation,economic relation,and humanistic relation indicators to complement the influence factors,adopted the Bayesian logit model,and applied the Monte Carlo Markov chain algorithm and Gibbs sampling to analyze the probability of IOs’positive stances towards China.The result shows that IOs’category,length of establishment,functional position,and relationship with China are all related to their tendency of making a statement about China.In terms of the heterogeneity of event types,forum-type IOs are significantly inclined to give positive assessment compared to service-type IOs on events focusing on China's own development.Further analysis reveals that the model for analyzing and predicting the attitudes of IOs is more effective when the international situation is in a stable period.
基金the National Natural Science Foundation of China (Grant Nos.61331011,61751206,61773276,61672366)Jiangsu Provincial Science and Technology Plan (BK20151222)Project of Natural Science Research of the Universities of Jiangsu Province.
文摘Stance detection aims to automatically determine whether the author is in favor of or against a given target.In principle,the sentiment information of a post highly influences the stance.In this study,we aim to leverage the sentiment information of a post to improve the performance of stance detection.However,conventional discrete models with sentimental features can cause error propagation.We thus propose a joint neural network model to predict the stance and sentiment of a post simultaneously,because the neural network model can learn both representation and interaction between the stance and sentiment collectively.Specifically, we first learn a deep shared representation between stance and sentiment information,and then use a neural stacking model to leverage sentimental information for the stance detection task.Empirical studies demonstrate the effectiveness of our proposed joint neural model.
基金funded by the Humanities and Social Sciences Planning Project of China's Ministry of Education(No.12YJA740050)the provincial(Ji Lin)Philosophy and Social Sciences Foundation Project in China(No.2013BS99)
文摘This paper reports on an inquiry into the construction of stance in finite reporting that-clauses. The data were drawn from two corpora of academic papers from a journal in the discipline of Applied Linguistics written by different language users： native speakers of English and Chinese writers using English as L2. By drawing on Sindair＇s distinction between ＂averral＂ and ＂attribution,＂ as well as Martin and White＇s notion of extra-vocalization, this paper sets up a framework for analyzing the sources in reporting clauses in order to examine how the writers construe their stances as visible, hedged or concealed. The study found that for self-sourced reports, the L2 writers are inclined to avoid direct self-mention which shows the greatest writer visibility, but instead use hidden averral with internal attribution. As for other-sourced reports, L2 writers prefer reporting verbs which are strong in the strength of attitude to make a much more definite and stronger claim, while native writers tactically use the moderate verbs and boosting expressions to construct more flexible stances. These discrepancies are likely to result from the disciplinary characteristics which are both community-based and context-situated.
文摘This study investigated the validity and sensitivity of a custom-made shoelace tensile testing system.The aim was to analyze the distribution pattern of shoelace tension in different positions and under different tightness levels during running.Mechanical tests were conducted using 16 weights,and various statistical analyses,including linear regression,Bland-Altman plots,coefficient of variation,and intraclass correlation coefficient,were performed to assess the system’s validity.Fifteen male amateur runners participated in the study,and three conditions(loose,comfortable,and tight)were measured during an upright stance.The system utilized VICON motion systems,a Kistler force plate,and a Photoelectric gate speed measurement system.Results showed a linear relationship between voltage and load at the three sensors(R2≥0.9997).Bland-Altman plots demonstrated 95%prediction intervals within±1.96SD from zero for all sensors.The average coefficient of variation for each sensor was less than 0.38%.Intraclass correlation coefficient values were larger than 0.999(p<0.0001)for each sensor.The peak tension of the front shoelace was greater than that of the front and middle when the shoelace was loose and tight.The rear shoelace had the highest tension force.The study also found that shoelace tension varied throughout the gait cycle during running.Overall,this research provides a novel and validated method for measuring shoelace tensile stress,which has implications for developing automatic shoelace fastening systems.
基金funded by the National Social Science Fund of China(No.19BYY229)
文摘Authorial stance has attracted increasing attention in the study of second language writing. Many studies have focused on certainty in students’ academic writing, but little attention has been paid to generality in students’ academic stance. Employing a corpus-based approach, this study investigates features of generality in Chinese EFL students’ stance in academic writing through comparison with the writing of international scholars. Results show that the Chinese EFL students employed significantly more generalization markers than international scholars in their academic writing, while the international scholars used more qualified generalizations. Moreover, clear differences in the focus of generalization markers and in the distribution of qualified generalizations were found, though the two groups exhibit similar tendencies in the functions of these generalization features. The findings suggest that Chinese EFL students tend to generalize their claims to a larger scope in order to make their academic writing more persuasive, leaving an impression of exaggeration and overstatement, whereas international scholars are more likely to restrict the use of generality markers in their academic writing, making more circumscribed claims. The results have practical and pedagogical implications for second language academic writing instruction.
基金supported by China National Social Sciences Grant entitled “A Genre-based Study of the Dynamic Interdiscursive System in Chinese and English Professional Discourse”(NO.17BYY033)
文摘Recent research on academic discourse has revealed the intersection of writing and writer identity construction. However, some terms that are being used in writer identity study are sometimes not only interchangeably used without making an explicit connection between them but also used in a way that may cause misunderstanding. The paper is intended to tease out four key terms, namely, stance, voice, self, and identity so that the respective role that each plays in academic written discourse can be differentiated on the one hand, and their interrelationship can be clarified on the other. It is hoped that such a panoramic picture can offer some pedagogical implications for academic writing teaching and research and provide some insights into the research on writer identity construction in academic written discourse as well.
文摘Despite rebukes against pro-independence Taiwan leader Chen Shui-bian's move to disrupt peace and stability across the Taiwan Strait, the mainland remains active in pushing forward links with the island. Sun Shengliang, a research fellow at the Institute of Taiwan Studies under the Chinese Academy of Social Sciences, analyzes the mainland's stance and efforts in cross-strait relations. Following are excerpts of his article carried in the People's Daily Overseas Edition:
