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Commonsense Knowledge Supported Intelligent News Analysis for Portfolio Risk Prediction

Kun Chen, Zonghang Yang, Huaiqing Wang, Libo Liu
2011 2011 44th Hawaii International Conference on System Sciences  
In this paper, we present a commonsense knowledge supported intelligent news analysis system for portfolio risk prediction.  ...  To automate such a reasoning process by computers, a description logic based knowledge mediator is designed and plugged in the system to dynamically provide the required commonsense knowledge for case  ...  A DL based knowledge management system comprises two components, the TBox and the ABox.  ... 
doi:10.1109/hicss.2011.116 dblp:conf/hicss/ChenYWL11 fatcat:vhpttc6zgvamllb5ld36atiw3q

An approach to the development of commonsense knowledge modeling systems for disaster management

D. S. Kalana Mendis, Asoka S. Karunananda, Udaya Samaratunga, Uditha Ratnayake
2007 Artificial Intelligence Review  
At the initial stage commonsense knowledge is converted into a questionnaire. Removing dependencies among the questions are modeled using principal component analysis.  ...  In this paper we present an approach to modeling commonsense knowledge in a sub field of architecture domain of land selection to come up with land classifications as psychological, physical and social  ...  We have also explained how the framework can be used to model any domain, for example, disaster management, concerning commonsense knowledgeAt present the fuzzy-expert system that emerged from our research  ... 
doi:10.1007/s10462-009-9097-6 fatcat:sfauaoefw5dole4pea2dhxfzju


2013 American Journal of Applied Sciences  
System makes a representation for commonsense knowledge and story events and then performs a commonsense reasoning to infer the details events which are not explicitly described in the story; furthermore  ...  it manages changes in objects properties over time and handles the actions synchronizations problem.  ...  described in the story, by performing a commonsense reasoning • Managing the changes of properties of each object of the story over time • Managing synchronizations between story events • Determining  ... 
doi:10.3844/ajassp.2013.1298.1306 fatcat:xtqvfdm5j5cl7jdujko2mkffga

Commonsense Knowledge Base Construction in the Age of Big Data [article]

Simon Razniewski
2021 arXiv   pre-print
the relevance of conceptual modelling.  ...  In this demonstration we will showcase three systems for automated commonsense knowledge base construction, highlighting each time one aspect of specific interest to the data management community.  ...  on a fine-tuned RoBERTa language model.  ... 
arXiv:2105.01925v1 fatcat:v45fcf5hrbbl7fmnvx72ddnhea

Leveraging commonsense reasoning and multimodal perception for robot spoken dialog systems

Dongcai Lu, Shiqi Zhang, Peter Stone, Xiaoping Chen
2017 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)  
In this paper, we use a probabilistic commonsense reasoner to "guide" our POMDP-based dialog manager, and present a principled, multimodal dialog management (MDM) framework that allows the robot's dialog  ...  Such dialog systems suffer from the fact that only a relatively small number of domain variables are allowed in the model, so as to ensure the generation of good-quality dialog policies.  ...  Spoken dialog management has been modeled as a probabilistic planning problem to handle the inherent noise from spoken language understanding in dialog systems.  ... 
doi:10.1109/iros.2017.8206570 dblp:conf/iros/LuZSC17 fatcat:sc5wfcswrjf3fgksn5pmddodem

Anthropomorphic Self-Models for Metareasoning Agents [chapter]

Andrew S. Gordon, Jerry R. Hobbs, Michael T. Cox
2011 Metareasoning  
This paper outlines an approach involving the formulation of anthropomorphic self-models, where the representations that are used for metareasoning are based on formalizations of commonsense psychology  ...  We describe two research activities that support this approach, the formalization of broad-coverage commonsense psychology theories and use of representations in the monitoring and control of objectlevel  ...  In artificial intelligence, commonsense psychology has generally been approached in the same terms as commonsense (naïve) physics (Hayes, 1978) , i.e. as a representational model (a set of logical axioms  ... 
doi:10.7551/mitpress/9780262014809.003.0019 fatcat:kf2dp4lds5bwlnzva74tuqgd3y

Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning

Jiangnan Xia, Chen Wu, Ming Yan
2019 Proceedings of the 28th ACM International Conference on Information and Knowledge Management - CIKM '19  
In this paper, we integrate relational knowledge into MRC model for commonsense reasoning. Specifically, based on a pre-trained language model (LM).  ...  We design two auxiliary relation-aware tasks to predict if there exists any commonsense relation and what is the relation type between two words, in order to better model the interactions between document  ...  Pre-trained language model such as BERT and GPT [4, 8] is also used as a kind of commonsense knowledge source.  ... 
doi:10.1145/3357384.3358165 dblp:conf/cikm/XiaWY19 fatcat:cngo5imur5adjhr6yyehkkol6a

Commonsense Reasoning: How do Neuro-Symbolic and Neuro-only Approaches Compare?

Ruben Branco, António Branco, João M. Silva, João Rodrigues
2021 International Conference on Information and Knowledge Management  
In this paper we set out to compare a Neuro-Symbolic model with mainstream Neuro-only models when they are tasked with solving commonsense reasoning problems, which heavily rely on appropriately represented  ...  The results obtained indicate that there is no clear advantage to either approach, with the Neuro-Symbolic model being competitive amongst the Neuro-only models, but not superior.  ...  reported here was supported by POR-TULAN CLARIN-Research Infrastructure for the Science and Technology of Language https://portulanclarin. net, funded by Lisboa 2020, Alentejo 2020 and FCT-Fundação para a  ... 
dblp:conf/cikm/BrancoBS021 fatcat:ubimsi63enegdj62gnxprekiqu

An architecture of diversity for commonsense reasoning [Technical forum]

J. McCarthy, M. Minsky, A. Sloman, L. Gong, T. Lau, L. Morgenstern, E. T. Mueller, D. Riecken, M. Singh, P. Singh
2002 IBM Systems Journal  
A huge amount of knowledge is needed to do even simple forms of commonsense reasoning.  ...  What makes commonsense reasoning difficult Commonsense reasoning—the sort of reasoning we would expect a child to do easily—is difficult for com- puters to do.  ... 
doi:10.1147/sj.2002.5386871 fatcat:fcp2yswfnfglnnf3q7q6hv7ugi

Commonsense illness beliefs, adherence behaviors, and hypertension control among African Americans

Eric B. Hekler, Jennifer Lambert, Elaine Leventhal, Howard Leventhal, Eric Jahn, Richard J. Contrada
2008 Journal of behavioral medicine  
Participants were interviewed about their commonsense beliefs concerning hypertension and its management in accordance with Leventhal's commonsense model of self-regulation (CSM).  ...  Endorsement of a stress belief model (i.e., stress is the main factor in hypertension cause and control) was associated with engagement in stress-related behaviors but not with blood pressure.  ...  Acknowledgements This study was funded by a grant from the National Institute of Aging: P20AG012072.  ... 
doi:10.1007/s10865-008-9165-4 pmid:18618236 fatcat:mqjjxjpoc5d2ncd6v5a6la7hmq

Automatic Story Generation: Challenges and Attempts [article]

Amal Alabdulkarim, Siyan Li, Xiangyu Peng
2021 arXiv   pre-print
However, it showed that it could not manage commonsense inference beyond a small extend and thus established the need to integrate more human knowledge into the model. Plot Machines.  ...  An intuition is to utilize commonsense knowledge is to train language model on commonsense datasets.  ...  Appendix A Controllability Approaches  ... 
arXiv:2102.12634v1 fatcat:b67pi4zy5fc4dp4edidecwo54a

Deriving Commonsense Inference Tasks from Interactive Fictions [article]

Mo Yu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael Greenspan, Murray Campbell
2020 arXiv   pre-print
Experiments show that our task is solvable to human experts with sufficient commonsense knowledge but poses challenges to existing machine reading models, with a big performance gap of more than 30%.  ...  We propose a new commonsense reasoning dataset based on human's interactive fiction game playings as human players demonstrate plentiful and diverse commonsense reasoning.  ...  All three baselines manage to learn decent models, i.e., significantly better than a random guess.  ... 
arXiv:2010.09788v1 fatcat:3j5krgzcvfchfntzmlmyscxgcu

Process Mining with Common Sense

Diego Calvanese, Sanja Lukumbuzya, Marco Montali, Mantas Simkus
2021 International Conference on Business Process Management  
We argue that, with the growth of process mining in breadth (variety of covered tasks) and depth (sophistication of the considered process models), event logs need to be augmented by commonsense knowledge  ...  to provide a better input for process mining algorithms.  ...  All in all, the problem is then: How can we suitably augment event data with commonsense knowledge, to improve the faithfulness and quality of process mining without introducing too much additional modelling  ... 
dblp:conf/bpm/CalvaneseLMS21 fatcat:4nld72vjjbcbdi6ptmfpgnvbqa

Chefbot: A Novel Framework for the Generation of Commonsense-enhanced Responses for Task-based Dialogue Systems

Carl Strathearn, Dimitra Gkatzia
2021 International Conference on Natural Language Generation  
We will demo a novel system for commonsense enhanced response generation in the scenario of cooking, where the conversational system is able to not only provide directions for cooking step-by-step, but  ...  A concrete scenario of such dialogues is the cooking scenario, i.e. when an artificial agent (personal assistant, robot, chatbot) and a human converse about a recipe.  ...  From this framework we create a multi-intent / multi-turn policy model that permits adaptability to cope with the variable conditions of real-world tasks.  ... 
dblp:conf/inlg/StrathearnG21 fatcat:m3gus3lf5fhznj37mwcivjbo5y

Intended Models, Circumscription and Commonsense Reasoning

Wlodek Zadrozny
1987 International Joint Conference on Artificial Intelligence  
We describe a new method of formalizing commonsense reasoning : Instead of minimizing extensions of predicates we formalize common sense as "truth in intended models", and we give a mathematical formulation  ...  of the proposed method by defining a class of intended models based on preferences in interpretations.  ...  Consider two hypothetical expert systems, one dealing with a zoo management and the other one about a hospital management.  ... 
dblp:conf/ijcai/Zadrozny87 fatcat:qp6eljfgizcvna3i5adls6uamq
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