Notes:
Wikidata is a free and open-source knowledge base that is operated by the Wikimedia Foundation. It is a structured database of facts and information about a wide range of topics, and it is used by a variety of applications and services, including Wikipedia and other Wikimedia projects.
In the context of dialog systems, Wikidata can be used as a source of information and knowledge that can be accessed and used by the dialog system to provide more accurate and relevant responses to user queries. For example, a dialog system that is designed to answer questions about a particular topic may use Wikidata as a source of information to provide more detailed and accurate answers to user queries.
By using Wikidata, dialog systems can access a vast and constantly-updating collection of facts and information about a wide range of topics, which can be used to provide more accurate and relevant responses to user queries. This can help to improve the performance and usability of the dialog system, and to provide users with a more satisfying and informative experience.
Overall, Wikidata is a valuable resource for dialog systems, as it provides a rich and constantly-updating collection of facts and information that can be accessed and used to provide more accurate and relevant responses to user queries. By using Wikidata, dialog systems can improve their performance and provide users with a more satisfying and informative experience.
Wikipedia:
References:
See also:
100 Best DBpedia Videos | Cycorp 2018 | Narrative Extraction | Narrative Visualization & Artificial Intelligence 2019 | NaturalOWL | NELL (Never-Ending Language Learning) 2018 | NLDB (Natural Language Database) 2019 | Text Graphs & Natural Language 2019 | Twitter Bots 2018 | YAGO-QA | YAGO2
A systematic literature review on Wikidata
M Mora-Cantallops, S Sánchez-Alonso… – Data Technologies …, 2019 – emerald.com
… (2019) proposed complementing language feature vectors with associative knowledge through inference on the Wikidata knowledge graph, in order to improve the response of human-like dialog systems when information is not explicitly mentioned by the human user …
RuBQ: A Russian Dataset for Question Answering over Wikidata
V Korablinov, P Braslavski – arXiv preprint arXiv:2005.10659, 2020 – arxiv.org
… arXiv preprint arXiv:1506.02075 (2015) 6. Burtsev, M., et al.: Deeppavlov: Open-source library for dialogue systems. In: ACL (System Demonstrations). pp … 1087–1091 (2018) 11. Diefenbach, D., Tanon, TP, Singh, KD, Maret, P.: Question answering bench- marks for Wikidata …
Proposal Towards a Personalized Knowledge-powered Self-play Based Ensemble Dialog System
R Csaky – arXiv preprint arXiv:1909.05016, 2019 – arxiv.org
… Wikidata: a free collab- orative knowledge base. 13 Page 14. [Wei et al., 2017] Wei, B., Lu, S., Mou, L., Zhou, H., Poupart, P., Li, G., and Jin, Z. (2017). Why do neural dialog systems generate short and meaningless replies? a comparison between dialog and translation …
Spoken Conversational Search for General Knowledge
LM Rojas-Barahona, P Bellec, B Besset… – arXiv preprint arXiv …, 2019 – arxiv.org
… The context manager pro- vides contextualised mediation between the di- alogue components and several question an- swering back-ends, which rely on data pro- vided by Wikidata1. Interaction with a human user is achieved through a graphical user … 2.2 The Dialogue System …
Spoken Conversational Search for General Knowledge
LMR Barahona, P Bellec, B Besset… – Proceedings of the 20th …, 2019 – aclweb.org
… The context manager pro- vides contextualised mediation between the di- alogue components and several question an- swering back-ends, which rely on data pro- vided by Wikidata1. Interaction with a human user is achieved through a graphical user … 2.2 The Dialogue System …
Data-efficient goal-oriented conversation with dialogue knowledge transfer networks
I Shalyminov, S Lee, A Eshghi, O Lemon – arXiv preprint arXiv:1910.01302, 2019 – arxiv.org
… sungjinl@amazon.com Abstract Goal-oriented dialogue systems are now be- ing widely adopted in industry where it is of key importance to maintain a rapid prototyp- ing cycle for new products and domains. Data- driven dialogue …
Few-shot dialogue generation without annotated data: A transfer learning approach
I Shalyminov, S Lee, A Eshghi, O Lemon – arXiv preprint arXiv:1908.05854, 2019 – arxiv.org
… We present an alternative, ‘few-shot’ approach to data-efficient dialogue system training: we do use complete in-domain dialogues while using … Named Entity Recognizer (Finkel et al., 2005), a date/time extraction library (Chang and Manning, 2012), and a Wikidata entity linker …
Crowdsourcing a self-evolving dialog graph
P Jonell, P Fallgren, FI Do?an, J Lopes… – Proceedings of the 1st …, 2019 – dl.acm.org
… which are authored by crowdworkers, and user utterances, which are obtained by using the dialog graph to guide the dialog system and letting … of the tag mechanism is illustrated in Figure 3. In order to generate such tags, a knowledge graph database such as Wikidata [6] can …
[PDF][PDF] RULE-BASED DIALOG MANAGEMENT FOR VOICE ASSISTANTS IN AUTOMOTIVE ENVIRONMENTS
SK Sahoo, T Sowa, C Hacker, T Ranzenberger – essv.de
… However, to develop an in-vehicle dialog system using on-market VAs is still a big chal- lenge. Out-of-the-box they only support a limited set of dialog phenomena and no possibilities to integrate various knowledge sources … 1https://www.wikidata.org 2cf …
Multiple Knowledge Syncretic Transformer for Natural Dialogue Generation
X Zhao, L Wang, R He, T Yang, J Chang… – Proceedings of The Web …, 2020 – dl.acm.org
… https://doi.org/10.1145/3366423.3380156 1 INTRODUCTION Dialogue system plays an important role in facilitating smooth in- teraction between human and machine … The sequence-to-sequence (Seq2Seq) method has been widely used in dialogue systems [4, 28, 29, 32] …
Humanoid Robots and Conversational Recommender Systems: a Preliminary Study
A Iovine, F Narducci, M de Gemmis… – 2020 IEEE Conference …, 2020 – ieeexplore.ieee.org
… It works on a graph in which the nodes are Wikidata concepts regarding movies and their properties (actors, directors, etc), and the edges are … p. 8. [15] J. Glass, J. Polifroni, S. Seneff, and V. Zue, “Data collection and perfor- mance evaluation of spoken dialogue systems: The mit …
Goal Oriented and Open Domain Dialogue Management
M Vodolán – 2019 – dspace.cuni.cz
… 1.4 Dialogue System Decomposition The dialogue systems can be seen as interfaces providing access to some knowledge or services via natural language … Page 18. Spoken Dialogue System Automatic Speech Recognition (ASR) user request …
AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue
G Kumar, R Joshi, J Singh, P Yenigalla – arXiv preprint arXiv:1912.10160, 2019 – arxiv.org
… Page 6. embeddings of each entity in E. In place of Wikipedia, bigger knowledge bases like Wikidata, as well as relation information, can be used to improve KB embeddings … Dialogue system proposed by Zhang et al. (2018c) is also reproduced and reevaluated for comparison …
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents
CY Li, D Ortega, D Väth, F Lux, L Vanderlyn… – arXiv preprint arXiv …, 2020 – arxiv.org
… Then, the answer is automatically looked up using Wikidata’s SPARQL endpoint. 3.7 Natural Language Generation (NLG) … Domain BST … NLG Domain 2 NLU Policy Dialog System Speech Synthesis Speech Recognition Voice Input Video Input Text Input Domain Tracker …
Efficient Deployment ofConversational Natural Language Interfaces over Databases
A Colas, T Bui, F Dernoncourt, M Sinha… – arXiv preprint arXiv …, 2020 – arxiv.org
… (2018) first approach the problem of complex sequen- tial question-answering (CSQA) by first building a large-scale QA dataset made to answer questions found in Wikidata 1. However, their data … (2019a) also develop the first general-purpose DB querying dialogue system …
Associative knowledge feature vector inferred on external knowledge base for dialog state tracking
Y Murase, Y Koichiro, S Nakamura – Computer Speech & Language, 2019 – Elsevier
… Abstract. The dialog state tracker is one of the most important modules on task-oriented dialog systems, its accuracy strongly affects the quality of the system response … We extracted a part of a graph structure from an external knowledge base (Wikidata) …
Conversational Recommender Systems and natural language:: A study through the ConveRSE framework
A Iovine, F Narducci, G Semeraro – Decision Support Systems, 2020 – Elsevier
… The KB chosen for building our framework is Wikidata since it is a free and open Knowledge Base which acts as a hub of several structured data coming from Wikimedia sister projects 2 … These entities are extracted from Wikidata …
Knowledge-based Conversational Search
S Vakulenko – arXiv preprint arXiv:1912.06859, 2019 – arxiv.org
… 85 6.3 End-to-end Methodology for Designing a Dialogue System . . . . . 86 … Discourse structure theories were successfully applied to characterize a dialogue phenomena and inform the design of dialogue systems [171] …
[PDF][PDF] Chatbot System Architecture
M Mohammed, MM Aref – 2020 – wwww.easychair.org
… 1 INTRODUCTION A chatbot (conversational agent (CA), dialogue system) is a computer software that acts as an interface between human users and a … of entities with their concept titles from wikipedia, which in turn can be converted to nodes in the Wikidata knowledge graph …
Using a KG-Copy Network for Non-Goal Oriented Dialogues
D Chaudhuri, MRAH Rony, S Jordan… – International Semantic …, 2019 – Springer
… [20] proposed a generative model namely Mem2Seq for a task-oriented dialog system which combines multi … Following [6], we created a soccer knowledge graph from WikiData [30] which consists of information such as a team’s coach, captain and also information such as home …
Introduction: What Is a Knowledge Graph?
D Fensel, U ?im?ek, K Angele, E Huaman, E Kärle… – Knowledge Graphs, 2020 – Springer
… The development of such automatic methods for speech recognition is an impor- tant prerequisite for the development of automated dialog systems.3 Their break … Freebase was shut down by Google in 2016 and its knowledge has been incrementally included in Wikidata …
[PDF][PDF] A Dataset of Real Dialogues for Conversational Recommender Systems.
A Iovine, F Narducci, M de Gemmis – CLiC-it, 2019 – ceur-ws.org
… For each recognized item, we record its Wikidata ID, and a symbol that identifies the rat- ing (‘+’ for positive, ‘-‘ for negative). We applied some heuristics for improving the quality of the data … 2015. Evaluating Pre- requisite Qualities for Learning End-to-End Dialog Systems …
Building A User-Centric and Content-Driven Socialbot
H Fang – arXiv preprint arXiv:2005.02623, 2020 – arxiv.org
… ics, there was no prior dialog system that could easily be used for this socialbot task, nor were there corpora available for data-driven analysis and model development … a variety of knowledge bases such as Freebase [51] and Wikidata [52] that provide factual knowl …
# MeTooMaastricht: Building a chatbot to assist survivors of sexual harassment
T Bauer, E Devrim, M Glazunov, WL Jaramillo… – … Conference on Machine …, 2019 – Springer
… Burtsev, M., et al.: DeepPavlov: open-source library for dialogue systems. In: Proceedings of ACL 2018, System Demonstrations, Melbourne, Australia, July 2018, pp. 122–127 … Vrande?i?, D., Krötzsch, M.: Wikidata: A Free Collaborative Knowledgebase. Commun …
What’s The Latest? A Question-driven News Chatbot
P Laban, J Canny, MA Hearst – Proceedings of the 58th Annual Meeting …, 2020 – aclweb.org
… In this work, the focus is not on the collection of naturally occurring questions, but in putting a Q&A system in use in a news dialogue system, and observing the … Wikidata7 for entity linking and collection of textual content of relevant Wikipedia pages used in special case questions …
How to Use a Knowledge Graph
D Fensel, U ?im?ek, K Angele, E Huaman, E Kärle… – Knowledge Graphs, 2020 – Springer
… Finally, we show how Knowledge Graphs can power conversational agents in different points in the dialog system pipeline and the promising future of service annotations helping to build fiexible systems decoupled from the web services with which they communicate …
[HTML][HTML] VQuAnDa: Verbalization QUestion ANswering DAtaset
E Kacupaj, H Zafar, J Lehmann… – European Semantic Web …, 2020 – Springer
… 2018. Entities/Relations. Manual. LC-QuAD 2.0 [12]. Wikidata. 30K. 2019. SPARQL. Manual. FreebaseQA [20] … On the one hand, recent advances in task-oriented dialogue systems resulted in releasing multi-turn dialogue datasets that are grounded through knowledge bases [16 …
Deep Learning in Natural Language Processing, edited by Li Deng and Yang Liu. Singapore: Springer, 2018. ISBN 9789811052088. XVII + 329 pages
H Feng, F Shi – Natural Language Engineering – cambridge.org
… Celikyilmaz et al.’s study (Chapter 3) focuses on spoken and text-based dialog systems and demonstrates a survey on the application … Following an introduction to knowledge graphs (eg Freebase and Wikidata), Liu and Han’s study (Chapter 5) looks primarily at the application …
[BOOK][B] Developing Enterprise Chatbots
B Galitsky – 2019 – Springer
… accuracy and dialogue management capabilities. This book is intended to substantially improve chatbot engineering, providing the solid scientific background for building sophisticated dialogue systems. In particular, this book …
Chatbol, a chatbot for the Spanish “La Liga”
C Segura, À Palau, J Luque, MR Costa-Jussà… – … Dialogue System …, 2019 – Springer
… the presented system combines two different conversational functions into a single agent: a question answering system that search over Wikidata entities to generate responses related to the topic of interest and a retrieval-based chat-oriented dialogue system that serves as …
A survey on question answering systems over linked data and documents
E Dimitrakis, K Sgontzos, Y Tzitzikas – Journal of Intelligent Information …, 2019 – Springer
… Keywords Question answering · dialogue systems · RDF and linked data · evaluation collections 1 Introduction … We have to note that this survey does not focus on datasets built for dialogue systems, since this part has already been covered in Serban et al …
[PDF][PDF] A simple recipe towards reducing hallucination in neural surface realisation
F Nie, JG Yao, J Wang, R Pan, CY Lin – … of the 57th Annual Meeting of …, 2019 – aclweb.org
… 2017. Learning to generate one-sentence biogra- phies from Wikidata. In Proceedings of the 15th Conference of the European Chapter of the Associa- tion for Computational Linguistics: Volume 1, Long Papers, pages 633–642, Valencia, Spain …
Social Relation Extraction from Chatbot Conversations: A Shortest Dependency Path Approach
M Glas – SKILL 2019-Studierendenkonferenz Informatik, 2019 – dl.gi.de
… 2 https://wiki.dbpedia.org/ 3 https://www.wikidata.org 4 https://developers.google.com/ freebase/ Page 5. Social Relation Extraction 5 3 Social Relation Extraction … The entity type User (USR) describes the user interacting with the dialog system …
amazon alexa+ linked open data: theorizing concerning relationships between (surveillant) smart-home voice assistants and linked open data
M Nitto – 2019 – academicworks.cuny.edu
… “Alexa, ask wikidata! Voice interaction with knowledge graphs using Amazon Alexa” International Semantic Web Conference. Khatri, C. (2018). “Advancing the state of the art in open domain dialog systems through the alexa prize” 2nd Proceedings of Alexa Prize. Lei, X. et al …
Commonsense properties from query logs and question answering forums
J Romero, S Razniewski, K Pal, J Z. Pan… – Proceedings of the 28th …, 2019 – dl.acm.org
… For instance, Wikidata neither knows that birds can fly nor that elephants have trunks. Use Cases of CSK … Another NLP application is dialog systems and chatbots (eg, [17]), where CSK adds plausibility priors to language generation …
Message passing for complex question answering over knowledge graphs
S Vakulenko, JD Fernandez Garcia, A Polleres… – Proceedings of the 28th …, 2019 – dl.acm.org
… Knowledge graphs (KGs), ie, graph-structured knowledge bases, such as DBpedia [27] or Wikidata [48], can interlink datasets with completely different schemas [4]. Moreover, SPARQL is a very expressive query … Session: Long – Question Answering and Dialogue Systems II …
Knowledge graph construction and applications for Web search and beyond
P Wang, H Jiang, J Xu, Q Zhang – Data Intelligence, 2019 – MIT Press
… Lack of data: Though the biggest published knowledge graph (Wikidata) is reported to contain millions of entities and billions of triples … of knowledge graph in Sogou Inc.: entity detection and linking, knowledge-based question answering and knowledge-based dialog system …
Deep Learning Approaches to Text Production
S Narayan, C Gardent – Synthesis Lectures on Human …, 2020 – morganclaypool.com
… Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 …
[PDF][PDF] VQuAnDa: Verbalization QUestion ANswering DAtaset
M Maleshkova – preprints.2020.eswc-conferences …
… LC-QuAD 2.0 [12] Wikidata 30K 2019 SPARQL Manual … On the one hand, recent advances in task-oriented dialogue systems resulted in releasing multi-turn dialogue datasets that are grounded through knowledge bases [16] …
“Talking” Triples to Museum Chatbots
S Varitimiadis, K Kotis, D Spiliotopoulos… – … Conference on Human …, 2020 – Springer
… The most famous open and commercial KGs are Freebase, Wikidata, DBpedia, Yago, Google’s Knowledge Graph Yahoo!’s Knowledge Graph, Microsoft’s … Hallili [10] has proposed the SynchroBot, a dialog system that a) has connectivity to robust and flexible KBs and KGs for …
Multi-task learning for conversational question answering over a large-scale knowledge base
T Shen, X Geng, T Qin, D Guo, D Tang, N Duan… – arXiv preprint arXiv …, 2019 – arxiv.org
… Page 3. Figure 1: Proposed Multi-task Semantic Parsing (MaSP) model. Note that P* and T* are predicate and entity type ids in Wikidata where entity type id originally starts with Q but is replaced with T for clear demonstration. 3.1 Grammar and Logical Form …
ERNIE: Enhanced language representation with informative entities
Z Zhang, X Han, Z Liu, X Jiang, M Sun, Q Liu – arXiv preprint arXiv …, 2019 – arxiv.org
… Before pre-training ERNIE, we adopt the knowledge embeddings trained on Wikidata4 by TransE as the input embeddings for entities. To be specific, we sample part of Wikidata which contains 5,040,986 entities and 24,267,796 fact triples …
[HTML][HTML] Sentence Representation
Z Liu, Y Lin, M Sun – Representation Learning for Natural Language …, 2020 – Springer
… Sentence Representation has remained as a core task in natural language processing, because many important applications in related fields lie on understanding sentences, for example, summarization, machine translation, sentiment analysis, and dialogue system …
A Knowledge Graph for Assessing Agressive Tax Planning Strategies
N Lüdemann, A Shiba, N Thymianis, N Heist… – arXiv preprint arXiv …, 2020 – arxiv.org
… Moreover, we demonstrate that we can identify anomalies in the graph which hint at potential tax planning strategies, and we show how to enhance those analyses by in- corporating information from Wikidata using federated queries … 100000 TaxGraph Wikidata DBpedia YAGO …
A Bilingual Chatbot Using Support Vector Classifier On an Automatic Corpus Engine Dataset
JK Catapang, GA Solano, N Oco – … International Conference on …, 2020 – ieeexplore.ieee.org
… RasaNLU is built on an SVM architecture internally. The data for the entities is obtained by creating SPARQL queries to the Wikidata website … International Workshop on Spoken Dialog System Technology 2018 (IWSDS), Singapore. 2018 …
[HTML][HTML] Evaluating the state-of-the-art of end-to-end natural language generation: The e2e nlg challenge
O Dušek, J Novikova, V Rieser – Computer Speech & Language, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …
Introducing Knowledge Graphs to Decision Support Systems Design
S Elnagar, HR Weistroffer – EuroSymposium on Systems Analysis and …, 2019 – Springer
… Seman. Web 7(1), 63–93 (2016)CrossRefGoogle Scholar. 15. Singh, M., et al.: KNADIA: enterprise KNowledge Assisted DIAlogue systems using deep learning … Färber, M., et al.: Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO. Seman …
Paperrobot: Incremental draft generation of scientific ideas
Q Wang, L Huang, Z Jiang, K Knight, H Ji… – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. PaperRobot: Incremental Draft Generation of Scientific Ideas Qingyun Wang1, Lifu Huang1, Zhiying Jiang1, Kevin Knight2, Heng Ji1,3, Mohit Bansal4, Yi Luan5 1 Rensselaer Polytechnic Institute 2 DiDi Labs 3 University …
Semantic Web Empowered E-Tourism
K Angele, D Fensel, E Huaman, E Kärle… – Handbook of e …, 2020 – Springer
Page 1. Semantic Web Empowered E-Tourism Kevin Angele, Dieter Fensel, Elwin Huaman, Elias Kärle, Oleksandra Panasiuk, Umutcan Simsek, Ioan Toma, and Alexander Wahler Contents Introduction . . . . . 2 …
Towards a Decentralized, Trusted, Intelligent and Linked Public Sector: A Report from the Greek Trenches
T Beris, I Angelidis, I Chalkidis, C Nikolaou… – … Proceedings of The …, 2019 – dl.acm.org
Page 1. Towards a Decentralized, Trusted, Intelligent and Linked Public Sector: A Report from the Greek Trenches Themis Beris Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens Athens, Greece tberis@di.uoa.gr Iosif Angelidis Dept …
Foundations of Explainable Knowledge-Enabled Systems
S Chari, DM Gruen, O Seneviratne… – arXiv preprint arXiv …, 2020 – arxiv.org
… Explanation facilities could constitute a wide-range of user- facing interfaces, such as, dialogue systems, visualizations, and feedback systems that … etc., and there exist cross-domain open source KGs that host somewhat comparably rich provenance (eg, Wikidata, 9 WebIsALOD …
Foundations of Explainable Knowledge-Enabled Systems
I Tiddi – Knowledge Graphs for eXplainable Artificial …, 2020 – books.google.com
… Explanation facilities could constitute a wide-range of user-facing interfaces, such as, dialogue systems, visualizations, and feedback sys- tems … 8 etc., and there exist cross-domain open source KGs that host somewhat comparably rich provenance (eg, Wikidata, 9 WebIsALOD …
Barack’s Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling
RL Logan IV, NF Liu, ME Peters, M Gardner… – arXiv preprint arXiv …, 2019 – arxiv.org
… We also introduce the Linked WikiText- 2 dataset,1 a corpus of annotated text aligned to the Wikidata knowledge graph whose contents (roughly) match the popular WikiText-2 bench- mark (Merity et al., 2017) … For entities, we match the set of aliases provided in Wikidata …
Computational model for generating interactions in conversational recommender system based on product functional requirements
ZKA Baizal, DH Widyantoro, NU Maulidevi – Data & Knowledge …, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …
[PDF][PDF] The Need to Move beyond Triples.
FM Suchanek – Text2Story@ ECIR, 2020 – ceur-ws.org
… The community realizes this: A recent white paper [Vra19] proposes to make events first class citizens of Wikidata … Such complex events could then be linked to the speaker, much like this is proposed in [LC18], and be woven into dialog systems [CCM+20] …
Multi-Dimensional Gender Bias Classification
E Dinan, A Fan, L Wu, J Weston, D Kiela… – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. Multi-Dimensional Gender Bias Classification Emily Dinan?, Angela Fan?†, Ledell Wu, Jason Weston, Douwe Kiela, Adina Williams Facebook AI Research †Laboratoire Lorrain d’Informatique et Applications (LORIA) Abstract …
Automatic Taxonomy Induction and Expansion
NR Fauceglia, A Gliozzo, S Dash… – Proceedings of the …, 2019 – aclweb.org
… The output taxon- omy representation can be used by downstream applications such as dialog systems and search engines … KGIS also allows taxonomies to be exported in RDF/OWL representation with the terms linked to Wikidata3 entities (Vrandecic, 2012) …
Chatbot Components and Architectures
B Galitsky – Developing Enterprise Chatbots, 2019 – Springer
… In this respect, the system architecture is related to some of the recent general-purpose dialogue system frameworks … TAGME takes input text and returns a list of entities with their Wikipedia titles, which in turn can be converted to nodes in the Wikidata knowledge graph …
An investigation on the user interaction modes of conversational recommender systems for the music domain
F Narducci, P Basile, M de Gemmis, P Lops… – User Modeling and User …, 2020 – Springer
… This suggests that a dialogue mechanism that integrates explanation can induce trust in the user; moreover, the ability of a dialogue system to interact with … The KB chosen for building our framework is Wikidata since it is a free and open knowledge base which acts as a hub of …
Tracy: Tracing facts over knowledge graphs and text
MH Gad-Elrab, D Stepanova, J Urbani… – The World Wide Web …, 2019 – dl.acm.org
… Wikidata [16], YAGO [15]) but some of them might contain doubtful if not incorrect facts as they are partly built by automatic information extraction, crowd-sourcing, or other noisy methods [12, 18]. Due to the increasing usage of KGs for tasks like query-answering, dialog systems …
Managing Identity in Knowledge-Based Explainable Systems.
I Tiddi, J Raad – 2020 – books.google.com
… [42] FA Nielsen. Linking imagenet wordnet synsets with wikidata. arXiv preprint arXiv: 1803.04349, 2018 … [44] A. Papangelis, P. Papadakos, M. Kotti, Y. Stylianou, Y. Tzitzikas, and D. Plexousakis. Ld-sds: Towards an expressive spoken dialogue system based on linked-data …
Semantically aligned sentence-level embeddings for agent autonomy and natural language understanding
NE Fulda – 2019 – scholarsarchive.byu.edu
… Resource Description Framework (RDF) . . . . 102 7.2.2 Wikidata … can be found directly within linguistic embeddings, and that this knowledge can be extracted and utilized for real-world applications like robot navigation and dialog systems. We further …
KEPLER: A unified model for knowledge embedding and pre-trained language representation
X Wang, T Gao, Z Zhu, Z Liu, J Li, J Tang – arXiv preprint arXiv:1911.06136, 2019 – arxiv.org
… translation (Zaremoodi et al., 2018), reading comprehension (Mihaylov and Frank, 2018; Zhong et al., 2019) and dialogue system (Madotto et al … Our dataset is built by integrating Wikidata (Vrandecic and Krötzsch, 2014), a large-scale open knowledge base, with Wikipedia …
[HTML][HTML] Answering Comparative Questions with Arguments
A Bondarenko, A Panchenko, M Beloucif… – Datenbank …, 2020 – Springer
… then also would open the perspective of integrating our technology in today’s omnipresent voice-based agents, dialog systems, chatbots, or … by complementing retrieval from the Common Crawl with structured knowledge bases: We are currently analyzing Wikidata and DBpedia …
Cognitive knowledge graph reasoning for one-shot relational learning
Z Du, C Zhou, M Ding, H Yang, J Tang – arXiv preprint arXiv:1906.05489, 2019 – arxiv.org
… the ability to infer new facts from the existing relations [5, 34, 39, 6] for downstream tasks, eg, question answering [23], dialogue system [43], and … Both datasets are based on real-world KGs (NELL [22] and Wikidata [36]) and created with a similar process: relations with less than …
BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision
C Liang, Y Yu, H Jiang, S Er, R Wang, T Zhao… – arXiv preprint arXiv …, 2020 – arxiv.org
… applications such as user interest modeling (Karatay and Karagoz, 2015), question answering (Khalid et al., 2008) and dialogue systems (Bowden et … We then query from Wikidata to identify the types of these entities using SPARQL (Vrandecic and Krötzsch, 2014) as illustrated …
Knowledge graph based natural language generation with adapted pointer-generator networks
W Li, R Peng, Y Wang, Z Yan – Neurocomputing, 2020 – Elsevier
… The triples in a KG record the real world facts and are in the form of (subject; relation; object) (abbr. (s; r; o)). With the rapid development of semantic web, lots of large real word KGs such as DBPedia, YAGO, FreeBase, WordNet and WikiData have sprung up, which play an …
Adaptive and Personalized Systems Based on Semantics
P Lops, C Musto, F Narducci, G Semeraro – Semantics in Adaptive and …, 2019 – Springer
In the introduction of this book, we have thoroughly discussed the importance of adaptive and personalized systems in a broad range of applications. In particular, we have motivated the use of…
Towards Understanding Gender Bias in Relation Extraction
A Gaut, T Sun, S Tang, Y Huang, J Qian… – arXiv preprint arXiv …, 2019 – arxiv.org
… The concise representations provided by RE models have been used to extend Knowledge Bases (KBs) (Subasic et al., 2019; Trisedya et al., 2019). These KBs are then used heavily in NLP systems, such as Task-Based Dialogue Systems …
[HTML][HTML] Progress in neural NLP: modeling, learning, and reasoning
M Zhou, N Duan, S Liu, HY Shum – Engineering, 2020 – Elsevier
… Similarly, the problem of how to better model the context information in multi-turn tasks such as chatbots and dialog systems [16] is still challenging … For example, in the dialog system for custom service, the error or loss is not available in each turn of the dialog session …
KG-to-text generation with slot-attention and link-attention
Y Wang, H Zhang, Y Liu, H Xie – CCF International Conference on Natural …, 2019 – Springer
… Graph (KG) is essential for various Natural Language Processing (NLP) tasks such as question answering and dialog systems [22, 24 … Moreover, the structured slots from Wikipedia Infoboxes and Wikidata [45] and the corresponding sentences describing these slots in Wikipedia …
Representation learning for entity type ranking
MM Rahman, A Takasu, G Demartini – Proceedings of the 35th Annual …, 2020 – dl.acm.org
… KEYWORDS Entity Type Ranking, Knowledge Graphs, Joint Embedding 1 INTRODUCTION Type information plays an important role in knowledge bases eg, DBpedia [13], YAGO [22], Freebase [2], Wikidata [26] … dialogue systems [10, 32], information extraction [7, 27] …
Searching for Embeddings in a Haystack: Link Prediction on Knowledge Graphs with Subgraph Pruning
U Joshi, J Urbani – Proceedings of The Web Conference 2020, 2020 – dl.acm.org
… Although the largest public KGs contain billions of statements (eg, Wikidata [26], DBpedia [18]), they are still far from being complete … We chose LUBM and YAGO because they are sparse KGs, thus are more challenging inputs [22], while Wikidata is a popular large KG …
[PDF][PDF] Proceedings of The 12th Language Resources and Evaluation Conference
N Calzolari, F Bechet, P Blache, K Choukri… – Proceedings of The …, 2020 – aclweb.org
Page 1. LREC 2020 Marseille TWELFTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION May 11-16 , 2020 PALAIS DU PHARO Marseille, France CONFERENCE PROCEEDINGS Editors …
[PDF][PDF] Learning Natural Language Interfaces using Deep Neural Networks
I GUR – 2019 – escholarship.org
… 36 2.3 Modeling Users in Task-Oriented Dialogue Systems . . . . . 43 2.3.1 Overview … validating with users via multiple turns is proposed in Section 2.2.4. Finally, we tackle modeling users in task-oriented dialogue systems in Section 2.3 …
[PDF][PDF] End-to-End Learning with Text & Knowledge Bases
B Dhingra – 2020 – lti.cs.cmu.edu
… 1 https://developers.google.com/knowledge-graph 2One example of this can be observed by comparing the Wikipedia article of an entity with its corresponding WikiData page … inputs. We use this framework to build a modular dialogue system and train it end-to-end …
[HTML][HTML] World Knowledge Representation
Z Liu, Y Lin, M Sun – Representation Learning for Natural Language …, 2020 – Springer
… been proposed and applied to various real-world artificial intelligence fields including question answering, information retrieval, and dialogue system … While the data in Freebase would be transferred to Wikidata, which is another collaboratively edited knowledge base operated …
A review: Knowledge reasoning over knowledge graph
X Chen, S Jia, Y Xiang – Expert Systems with Applications, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …
Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts
R Bhowmik, G De Melo – The World Wide Web Conference, 2019 – dl.acm.org
… edu ABSTRACT Despite being vast repositories of factual information, cross-domain knowledge graphs, such as Wikidata and the Google Knowledge Graph, only sparsely provide short synoptic descriptions for en- tities. Such …
Architecture for a multilingual Wikipedia
D Vrande?i? – arXiv preprint arXiv:2004.04733, 2020 – arxiv.org
… all. Of these 24, eight were current because they used Wikidata [93] to update itself automatically … 1. (an item taken from Wikidata and thus identified by Q62), and the class key has a complex value built from another constructor …
A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges
B Fu, Y Qiu, C Tang, Y Li, H Yu, J Sun – arXiv preprint arXiv:2007.13069, 2020 – arxiv.org
… [6] constructed a larger and more diverse KBQA dataset, namely LcQuAD 2.0, which contains more types of complex questions and is based on both Wikidata and DBpedia. 3 Core KBQA Methods … However, KBQA and dialog systems have been studied independently …
Semantically aware text categorisation for metadata annotation
G Carducci, M Leontino, DP Radicioni… – … Conference on Digital …, 2019 – Springer
… We note that thanks to the linking of BabelNet synsets with external triple stores (such as Wikidata), such triples can be exploited to perform further analysis of the record, and of the entities herein contained. The decision rule …
Architecture for a multilingual Wikipedia
D Vrandecic – 2020 – research.google
… all. Of these 24, eight were current because they used Wikidata [93] to update itself automatically … 1. (an item taken from Wikidata and thus identified by Q62), and the class key has a complex value built from another constructor …
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering
T Shen, X Geng, T Qin, G Long, J Jiang… – arXiv preprint arXiv …, 2019 – arxiv.org
… al. 2018) in our experiments. There are 1.6M turns in 200K dialogues without logical form labeled. Its KB is built on WIKIDATA in the form of (subject, predicate, object), in- cluding 21.2M triplets over 12.8M entities. Moreover, it …
How to Build a Knowledge Graph
D Fensel, U ?im?ek, K Angele, E Huaman, E Kärle… – Knowledge Graphs, 2020 – Springer
… exploratory analysis. ACM J. Data Inf. Qual. 9(3), 1–26 (2018)CrossRefGoogle Scholar. M. Färber, F. Bartscherer, C. Menne, A. Rettinger, Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO. Semant. Web J …
A survey on knowledge graphs: Representation, acquisition and applications
S Ji, S Pan, E Cambria, P Marttinen, PS Yu – arXiv preprint arXiv …, 2020 – arxiv.org
… Temporal Knowledge Graph Knowledge Acquisition Scoring Function Encoding Models Representation Space Question Answering Dialogue Systems Natural Language Understanding Relation Extraction Entity Discovery Knowledge Graph Completion …
Financial News Generation Based on Artificial Intelligence Technology
S Cao, Y Yue – 2019 2nd International Conference on Safety …, 2019 – ieeexplore.ieee.org
… researchers need to bold try different method, such as the reference to the latest research related areas such as dialogue system, machine translation, etc … [8] Chisholm A, Radford W, Hachey B. Learning to Generate One- sentence Biographies from Wikidata[C]// Proceedings of …
An Automatic Ontology Generation Framework with An Organizational Perspective
S Elnagar, V Yoon, M Thomas – Proceedings of the 53rd Hawaii …, 2020 – 128.171.57.22
Page 1. An Automatic Ontology Generation Framework with An Organizational Perspective Samaa Elnagar Victoria Yoon Manoj A. Thomas Virginia Commonwealth University Virginia Commonwealth University University of Sydney …
[BOOK][B] Knowledge Graphs
D Fensel, U ?im?ek, K Angele, E Huaman, E Kärle… – 2020 – Springer
… that it was sheer luck that Manuel was not only interested enough to discover this fact but also capable of querying Wikidata using the … explain how inference can be used to define views on such a graph, making it a useful resource for open and service-oriented dialog systems …
A Survey of Artificial Intelligence Techniques on MOOC of Legal Education
Y Weng, X Liang, H Duan, S Gu, N Wang… – National Conference on …, 2019 – Springer
… Entity recognition and relationship extraction of long sentences, automatic generation of knowledge base, multi-round dialogue system, and accurate location of inquiry points … Vrande?i?, D., Krötzsch, M.: WikiData: a free collaborative knowledge base (2014)Google Scholar. 26 …
[PDF][PDF] Towards a Self-aware Intelligent Agent
M Morisio, O Isabeau – 2019 – webthesis.biblio.polito.it
… 45 4.1.2 Wikidata statistic . . . . . 50 4.1.3 Wikidata dump … 73 Bibliography 77 viii Page 9. List of Figures 1.1 Dialogue system architecture . . . . . 5 1.2 IBM DeepQA framework for IBM Watson …
Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media
Y Ma, X Yang, L Liao, Y Cao, TS Chua – Proceedings of the 27th ACM …, 2019 – dl.acm.org
… and its applications [3, 4, 31, 32]. In the NLP community, several famous knowledge bases were cu- rated such as YAGO [9], Freebase [1], WikiData [29], DBpedia [17]. These knowledge bases capture large amount of textual …
Model-based interactive semantic parsing: A unified framework and a text-to-SQL case study
Z Yao, Y Su, H Sun, W Yih – arXiv preprint arXiv:1910.05389, 2019 – arxiv.org
Page 1. Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study Ziyu Yao1, Yu Su1, Huan Sun1, Wen-tau Yih2? {yao.470, su.809, sun.397}@osu. edu scottyih@fb.com 1The Ohio State University 2Facebook AI Research, Seattle Abstract …
Machine reading comprehension: a literature review
X Zhang, A Yang, S Li, Y Wang – arXiv preprint arXiv:1907.01686, 2019 – arxiv.org
… A sample in WIKIHOP which displays such characteristics is shown in Fig.5. To construct WIKIHOP, the authors collect (s, r, o) triples – with subject entity s, relation r, and object entity o, from WIKIDATA [55] … 9% Answer does not follow. 12% Wikidata/Wikipedia discrepancy. 8 …
Learning Multilingual Semantic Parsers for Question Answering over Linked Data. A comparison of neural and probabilistic graphical model architectures
S Hakimov – 2019 – pub.uni-bielefeld.de
… million users. This company provides a platform for developers to build dialog systems that offer various services such as ordering a taxi, paying for a restaurant bill, shopping, booking a flight ticket and many others. Xiaoice3 …
Unsupervised Graph-based Discourse Planning and Generation
A Singh, N Chatterjee – IETE Technical Review, 2019 – Taylor & Francis
… Workshop on Language-Enabled Educational Technology and Development and Evaluation of Robust Spoken Dialogue Systems, European Conference … A. Chisholm, W. Radford, and B. Hachey, “Learning to generate one-sentence biographies from Wikidata,” arXiv preprint …
[BOOK][B] Advances in Information Retrieval: 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14–18, 2019, Proceedings, Part I
L Azzopardi, B Stein, N Fuhr, P Mayr, C Hauff… – 2019 – books.google.com
Page 1. Leif Azzopardi· Benno Stein · Norbert Fuhr· Philipp Mayr· Claudia Hauff· Djoerd Hiemstra (Eds.) Advances in Information Retrieval 41st European Conference on IR Research, ECIR 2019 Cologne, Germany, April 14–18, 2019 Proceedings, Part I 123 Page 2 …
[PDF][PDF] Topological Approach to Wikipedia Page Recommendation
M Opirskyi, P Sarkanych – … in Data Mining, Machine Learning, and …, 2019 – researchgate.net
… context, and we want to manipulate only using attributes. This problem limits the usage of such models for modern applications like dialog systems or question-answering sys- tems. Also, it’s worth to note that currently transformer …
An automatic literature knowledge graph and reasoning network modeling framework based on ontology and natural language processing
H Chen, X Luo – Advanced Engineering Informatics, 2019 – Elsevier
… is used in various knowledge bases or knowledge management applications, including DBpedia, YAGO, Freebase, Wikidata, Spark, Google’s … technology, NLP has played significant roles in various applications, including conversational agent or dialogue systems [29], machine …
Joint Reasoning for Multi-Faceted Commonsense Knowledge
Y Chalier, S Razniewski, G Weikum – arXiv preprint arXiv:2001.04170, 2020 – arxiv.org
… Encyclopedic knowledge bases (KBs) received much a ention, with projects such as DBpedia [3], Wikidata [45], Yago [39] or NELL [8] and large knowledge graphs at Amazon, Baidu, Google, Microso etc. supporting entity-centric search and other services [25] …
[BOOK][B] Neural generation of textual summaries from knowledge base triples
P Vougiouklis – 2020 – books.google.com
… query. The Google Knowledge Graph1 and the Wikidata Reasonator2 are some representative examples of such Question Answering systems … German. Another domain of application is dialogue systems in commercial environments …
Neural Graph Embedding methods for Natural Language Processing
S Vashishth – arXiv preprint arXiv:1911.03042, 2019 – arxiv.org
Page 1. Neural Graph Embedding methods for Natural Language Processing A THESIS SUBMITTED FOR THE DEGREE OF Doctor of Philosophy IN THE Faculty of Engineering BY Shikhar Vashishth Computer Science and Automation Indian Institute of Science …