Knowledge-enriched joint-learning model for implicit emotion cause extraction

Emotion cause extraction(ECE)task that aims at extracting potential trigger events of certain emotions has attracted extensive attention recently.However,current work neglects the implicit emotion expressed without any explicit emotional keywords,which appears more frequently in application scenarios.The lack of explicit emotion information makes it extremely hard to extract emotion causes only with the local context.Moreover,an entire event is usually across multiple clauses,while existing work merely extracts cause events at clause level and cannot effectively capture complete cause event information.To address these issues,the events are first redefined at the tuple level and a span-based tuple-level algorithm is proposed to extract events from different clauses.Based on it,a corpus for implicit emotion cause extraction that tries to extract causes of implicit emotions is constructed.The authors propose a knowledge-enriched jointlearning model of implicit emotion recognition and implicit emotion cause extraction tasks(KJ-IECE),which leverages commonsense knowledge from ConceptNet and NRC_VAD to better capture connections between emotion and corresponding cause events.Experiments on both implicit and explicit emotion cause extraction datasets demonstrate the effectiveness of the proposed model.

Internet Resources and Organizational Knowledge Creation:Role of Environmental Dynamism

The development of the Internet has provided firms with the ideal opportunity to make up for the knowledge gap for achieving internal knowledge generation(IKG)and external knowledge acquisition(EKA).It is worth exploring how Internet resources can be used to satisfy organizational knowledge needs efficiently to adapt to dynamic environments.Thus,according to the resource-based view,knowledge-based view,and contingency theory,we study the impact of different types of Internet resources on the two modes of knowledge creation(IKG and EKA),as well as the moderating effect of environmental dynamism(ED)on this relationship.The hypothesized relationships were tested using the hierarchical regression analysis method with survey data collected from 399 Chinese firms.We found that Internet relationship resource and Internet human resource can simultaneously facilitate IKG and EKA,while Internet infrastructure resource positively affects IKG but has no significant impact on EKA.Furthermore,ED positively moderates the relationship between Internet relationship resource and IKG and EKA,but negatively moderates the relationship between Internet human resource and EKA.

Unravelling the drivers of technological innovations in the Czech Republic: Do international technological linkages matter?

This study aims to investigate the main factors driving technological innovation within firms in the manufacturing and service sectors of the Czech Republic.We apply a binary logistic regression model to cross-sectional data from 502 firms,obtained from the World Bank Enterprise Survey.The results of our empirical investigation show that certain elements of the business environment,such as the tax rate,serve as significant obstacles to firms’product innovations.The results also confirm that international technological linkagesdmeasured by international quality certificates and foreign technology licensesdaffect technological innovations.Moreover,we found that internal R&D activities positively impact technological innovation across all sectors;contrarily,we found that process innovation in the manufacturing sector is positively influenced by foreign technology licenses and business association membership.Process innovations in the service sector are positively correlated with external R&D and financing from banking institutions.Finally,business association membership does not positively influence technological innovation in the service sector.Our findings have salient implications for firm managers,policymakers,and scholars aiming to explore and improve innovation outcomes in transitional economies.