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EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning

Hao Zhou, Minlie Huang, Yong Liu, Wei Chen, Xiaoyan Zhu
2021 Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing   unpublished
In this paper, we propose an Entity-Agnostic Representation Learning (EARL) method to introduce knowledge graphs to informative conversation generation.  ...  representation for entities, which is generalized to incorporating unseen entities in knowledge graphs into conversation generation.  ...  with No. 61876096).  ... 
doi:10.18653/v1/2021.emnlp-main.184 fatcat:brtent4rc5gmvabksnzzox6p4m

Link the World: Improving Open-domain Conversation with Dynamic Spatiotemporal-aware Knowledge [article]

Han Zhou, Xinchao Xu, Wenquan Wu, Zheng-Yu Niu, Hua Wu, Siqi Bao, Fan Wang, Haifeng Wang
2022 arXiv   pre-print
Several recent advances have tried to link the dialog system to a static knowledge base or search engine, but they do not contain all the world information needed for conversations.  ...  Making chatbots world aware in a conversation like a human is a crucial challenge, where the world may contain dynamic knowledge and spatiotemporal state.  ...  Earl: Informative knowledge-grounded conversation generation with entity-agnostic representation learning.  ... 
arXiv:2206.14000v2 fatcat:5zrw6pcm4bc7fek6p7mljcmwjm

Contextualization and Generalization in Entity and Relation Extraction [article]

Bruno Taillé
2022 arXiv   pre-print
In this thesis, we study the behaviour of state-of-the-art models regarding generalization to facts unseen during training in two important Information Extraction tasks: Named Entity Recognition (NER)  ...  During the past decade, neural networks have become prominent in Natural Language Processing (NLP), notably for their capacity to learn relevant word representations from large unlabeled corpora.  ...  In this case, Relation Extraction is performed with the assumption that entities have been previously detected and RE is thus trained with ground truth information about relation arguments.  ... 
arXiv:2206.07558v1 fatcat:tv6lylh4gjhohdldlgg24zwpvm

An Introduction to Question Answering over Linked Data [chapter]

Christina Unger, André Freitas, Philipp Cimiano
2014 Lecture Notes in Computer Science  
While the amount of knowledge available as linked data grows, so does the need for providing end users with access to this knowledge.  ...  It gives an overview of the main challenges involved in the interpretation of a user's information need expressed in natural language with respect to the data that is queried.  ...  Representing common-sense knowledge using structured large-scale knowledge bases comes with the price of data acquisition (manually or through automated information extraction methods), data representation  ... 
doi:10.1007/978-3-319-10587-1_2 fatcat:nhztb5gl2zdxlp53xkp2ndsasq

Technical Change and Industrial Dynamics as Evolutionary Processes [chapter]

Giovanni Dosi, Richard R. Nelson
2010 Handbook of The Economics of Innovation, Vol. 1  
Conversely, it is rather agnostic on the precise specification of non-decreasing returns.  ...  In such a synthesis, one fully acknowledges some common features of information and knowledge -in general, and with reference to scientific and technological knowledge in particular.  ... 
doi:10.1016/s0169-7218(10)01003-8 fatcat:6mz6e4tvx5fw7dhqfswih2iwpm

Capability Development of Customers

Vinay Sharma, Pankaj Madan, Piyush Seth
2011 International Journal of Strategic Technology and Applications  
These technologies are enabling non-journalists to become "citizen reporters" (also known as "citizen journalists"), who record and report information over informal networks or via traditional mass media  ...  These technologies are enabling non-journalists to become "citizen reporters" (also known as "citizen journalists"), who record and report information over informal networks or via traditional mass media  ...  and entities.  ... 
doi:10.4018/jsita.2011040102 fatcat:rvbqwit32fa5jiadh43tn63kuq

Emergence of the connectivist leadership paradigm a grounded the.pdf

Freddie Covington
This thesis explored the conceptualization of a more collective and connected form of leadership called Connectivist Leadership in the context of the Asia region leading the world with highly networked  ...  Fast forward today, with the explosion of knowledge and information.  ...  I see it because some of the conversations I'm having with senior leaders, they invariably always come back to a kind of generational conflict.  ... 
doi:10.6084/m9.figshare.14330588.v1 fatcat:6ul2rtxwivdnjoduben5i62pcm

Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration [article]

Henna Kokkonen, Lauri Lovén, Naser Hossein Motlagh, Juha Partala, Alfonso González-Gil, Ester Sola, Iñigo Angulo, Madhusanka Liyanage, Teemu Leppänen, Tri Nguyen, Víctor Casamayor Pujol, Panos Kostakos (+5 others)
2022 arXiv   pre-print
To justify the claim, we provide a general definition for continuum orchestration, and look at how current and emerging orchestration paradigms are suitable for the computing continuum.  ...  Some methods that aim to utilize GANs in representational learning try to extract the latent representation by replacing the generator with an adversarial autoencoder [254] or by treating the generator  ...  [250] categorize self-supervised representational learning into three categories: generative, contrastive and adversarial.  ... 
arXiv:2205.01423v2 fatcat:phywaj2btrhpnobpeo5z4d3jv4

Rural/urban: Laying bare the controversy

Mirek Dymitrow
2018 Geographia Polonica  
Concepts are the basic building blocks of all knowledge, while the strength of any societal project is dependent on the quality of those concepts.  ...  By critically evaluating six of the most common conceptions of 'rural/urban', including their pros and cons, this paper makes a case for reconfiguring our relationship with familiar understandings of societal  ...  of representation or as local sources of knowledge that deserve elevation to a position of authority.  ... 
doi:10.7163/gpol.0126 fatcat:epamprxn5fgnfdpgnfngstvdvq

Communicative Tensions of Community Organizing: The Case of a Local Neighborhood Association

Matt Koschmann, Nicole M. Laster
2011 Western journal of communication  
In meetings the agnostic=nonreligious HANA members communicated about prayer as ''tradition.'' Conversely, religious members discussed prayer as ''inspiration.''  ...  For some, diversity was synonymous with ethnic and racial (non-White) representation.  ... 
doi:10.1080/10570314.2010.536965 fatcat:znlyzwd7pjcahk2hiki4xqfj4q

Why do IQ scores predict job performance?

Eliza Byington, Will Felps
2010 Research in organizational behavior  
This institutional explanation for the IQ-job performance link is an alternative to the prevailing assertion that IQ facilitates job performance through on-the-job learning.  ...  several sociological literatures (i.e. the diffusion of institutions, social stratification, and self-fulfilling dynamics), we argue that the current applications of IQ-reflective tests allow individuals with  ...  Moreover, much of the knowledge learned in school is general knowledge that can apply to many sorts of work.  ... 
doi:10.1016/j.riob.2010.08.003 fatcat:a7qpjwhdmbaznft42xjokv64xi

Gestalt isomorphism and the primacy of subjective conscious experience: A Gestalt Bubble model

Steven Lehar
2003 Behavioral and Brain Sciences  
The perceptual modeling approach reveals the primary function of perception as that of generating a fully spatial virtual-reality replica of the external world in an internal representation.  ...  I propose therefore a perceptual modeling approach, to model the information manifest in the subjective experience of perception, as opposed to the neurophysiological mechanism by which that experience  ...  form (Earle 1998 , Singh & Hoffman 1998 .  ... 
doi:10.1017/s0140525x03000098 fatcat:6txwiitakjfpnkv4cr5a6qjwie

D2.1 Pilots Specification Note

Innovation Mapping
2018 Zenodo  
The team has already been involved in conversations with the AI strategy team at DG RTD about how to continue developing the pilot to create an evidence base informing EU policy for this important technology  ...  Data sources and methods We will use a labelled dataset (the EU Industrial R&D scoreboard) to train a machine learning model to generate predictions about R&D activity.  ... 
doi:10.5281/zenodo.1932622 fatcat:grnecbrluzcptgsfv7xjidobea

Demand dynamics with socially evolving preferences

R Aversi
1999 Industrial and Corporate Change  
Third, we explore some statistical properties of the demand patterns generated by the model which, despite its simplicity, are surprisingly in line with the empirical evidence.  ...  These results, we suggest, bring encouraging support to microfoundations of demand theory based on cognitive and behavioral foundations more in tune with the psychological and sociological evidence, based  ...  Endless discussions with Luigi Marengo and Helène Tordjman have contributed to imprint the importance of cognitive representations in economic behaviors.  ... 
doi:10.1093/icc/8.2.353 fatcat:h7cj3cshonaovjua6omtt255km

The Brain Imaging Data Structure (BIDS) Specification [article]

2020 Zenodo  
In BIDS, the split entity is RECOMMENDED to deal with split files. Please refer to Appendix VI for general information on how to deal with such manufacturer specifics and to see more examples.  ...  Each derivative type defines their own set of fields, but all of them share the following (non-required) ones: If this file was generated with prior knowledge from additional sources, such as the same  ...  The terms of any license should be consistent with the informed consent obtained from participants and any institutional limitations on distribution.  ... 
doi:10.5281/zenodo.4085321 fatcat:vc2hccxilzgr3lawippyaivxge
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