Notes:
DBpedia is a project that aims to extract and organize structured information from Wikipedia, and to make this information available for use in other applications and services. It uses natural language processing and other techniques to extract information from Wikipedia articles, and to organize this information into a structured database of entities, properties, and relationships.
DBpedia is often used in conjunction with dialog systems, as it provides a rich source of information that can be used to generate responses and answer questions. For example, a dialog system might use DBpedia to retrieve information about a particular topic or entity, and then use this information to generate a response to a user’s question. This allows the dialog system to provide more accurate and relevant answers to the user, and to provide additional context and background information about the topic.
In addition to providing information for dialog systems, DBpedia is also used in a variety of other applications, such as data mining, data analysis, and information retrieval. It is an important resource for anyone working with large volumes of structured information, and can help to make this information more accessible and usable.
DBpedia is often used in question answering systems, which are systems that are designed to answer questions posed by users in natural language. In these systems, DBpedia can be used as a source of information to generate answers to the user’s questions.
For example, a question answering system might use DBpedia to identify the entities and relationships mentioned in the user’s question, and then use this information to search for relevant information in the DBpedia database. This information can then be used to generate an answer to the user’s question, by combining and organizing the relevant information from DBpedia in a way that is coherent and meaningful.
In this way, DBpedia can help to improve the accuracy and relevance of the answers generated by question answering systems. It provides a rich and structured source of information that can be used to generate answers to a wide range of questions, and can help to provide additional context and background information about the entities and concepts mentioned in the user’s question.
See also:
100 Best DBpedia Videos | DBpedia & Chatbots 2018
An Approach for Ex-Post-Facto Analysis of Knowledge Graph-Driven Chatbots–The DBpedia Chatbot
R Jalota, P Trivedi, G Maheshwari, ACN Ngomo… – … Workshop on Chatbot …, 2019 – Springer
… 2 Related Work. In recent times, several new frameworks and approaches have been proposed to evaluate the usability of dialogue systems and the motivation behind their use … Despite the fact that the DBpedia Chatbot is a domain specific dialog system that introduces its …
Towards knowledge-based recommender dialog system
Q Chen, J Lin, Y Zhang, M Ding, Y Cen, H Yang… – arXiv preprint arXiv …, 2019 – arxiv.org
… Table 1: An example of the outputs of recommender dialog systems … proposed frame- work KBRD that integrates the recommender sys- tem and the dialog system effectively via … the non-item in- formation, we introduce an external knowledge graph from DBpedia (Lehmann et al …
Improving NLU Training over Linked Data with Placeholder Concepts
T Schmitt, C Kulbach, Y Sure-Vetter – International Conference on …, 2019 – library.oapen.org
… Chatbots· Linked Data 1 Introduction Modern conversational systems, also called dialogue systems (DS), are … during which a set of functions/tasks are defined that the dialogue system shall be … entity values taken from another domain, in this case, the DBpedia knowledge graph …
Open data chatbot
S Keyner, V Savenkov, S Vakulenko – European Semantic Web …, 2019 – Springer
… point to structured data sources, such as Open Data repositories [2, 6, 7] and knowledge graphs [1]. DBpedia chatbot [1 … We show how machine-learning-based dialogue systems can benefit from explicit semantics, such as geographic entities (locations) annotations, that assist …
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 …
An Interactive Mechanism to Improve Question Answering Systems via Feedback
X Zhang, L Zou, S Hu – Proceedings of the 28th ACM International …, 2019 – dl.acm.org
… Extensive ex- periments on both Freebase and DBpedia confirm the effectiveness and superiority of our approach … To her more bewilderment, “Marilyn Monroe” (Los Angeles, Session: Long – Question Answering and Dialogue Systems I …
Proceedings of the 12th International Conference on Natural Language Generation
K van Deemter, C Lin, H Takamura – Proceedings of the 12th …, 2019 – aclweb.org
… 463 Teaching FORGe to Verbalize DBpedia Properties in Spanish Simon Mille, Stamatia Dasiopoulou … 10:30–13:10 Workshop 2: AI Werewolf and Dialog System (AIWolfDial2019 … Towards Best Experiment Design for Evaluating Dialogue System Output Sashank Santhanam and …
An Ontology-Based Interactive System for Understanding User Queries
G Stoilos, S Wartak, D Juric, J Moore… – European Semantic Web …, 2019 – Springer
… the most relevant one of those needs to be selected and passed to the dialogue-system … Even worse, this approach cannot be implemented in spoken dialogue-systems where a potentially long list … The same issue can easily be observed in other KBs like DBpedia [2] where the …
Social Relation Extraction from Chatbot Conversations: A Shortest Dependency Path Approach
M Glas – SKILL 2019-Studierendenkonferenz Informatik, 2019 – dl.gi.de
… Digital dialog systems, also known as chatbots, have gained popularity through their usage in smart phones … 2 https://wiki.dbpedia.org/ 3 https://www.wikidata.org 4 https://developers.google. com … The entity type User (USR) describes the user interacting with the dialog system …
Implementation and Evaluation of Personal Ontology Building System with Virtual Agent
S Nakatani, S Saiki, M Nakamura, K Yasuda – International Conference on …, 2019 – Springer
… Ontology which is needed for generating personal adaptation dialogue in dialogue system for PWD … A1 from the external LOD, the system creates a link by DBpedia URIs by … and manage knowledge (Personal Ontology) about individual users in a dialog system that dynamically …
ConCET: Entity-aware topic classification for open-domain conversational agents
A Ahmadvand, H Sahijwani, JI Choi… – Proceedings of the 28th …, 2019 – dl.acm.org
… Topic classification in open-domain dialogue systems can be treated as a text classification problem, although utterance classification is a much more challenging task compared to general text classification … DBpedia Spotlight [14] links entity mentions to their DBpedia [1] URIs …
Image-question-answer synergistic network for visual dialog
D Guo, C Xu, D Tao – … of the IEEE Conference on Computer …, 2019 – openaccess.thecvf.com
… However, as a multi-turn VQA task, in each turn, a visual dialog system must also integrate the caption and dialog … Visual dialog systems can be grouped into two main categories according to dif- ferent decoders: generative models and discriminative mod … 28] uses DBpedia [3] to …
An Exploration of Disciplinary Literacy in Learners’ Short Answers
JP Corbeil, A Zouaq, M Gagnon – researchgate.net
… To manage acquisition of data, they implemented an intelligent tutoring system (ITS) using a hand- made dialog system … Entities are extracted from answers using DBpedia Spotlight [3]. An entity corresponds to a named entity or a concept that is represented by an URI in …
Teaching Commonsense and Dynamic Knowledge to Service Robots
S Opfer, S Jakob, K Geihs – International Conference on Social Robotics, 2019 – Springer
… In dialogue systems these capabilities, if present at all, are implemented by submodules of the dialogue manager that controls the state and flow of the … However, the knowledge base of the robot is enlarged by databases like WordNet and DBPedia that are also part of CN5 …
Introducing Knowledge Graphs to Decision Support Systems Design
S Elnagar, HR Weistroffer – EuroSymposium on Systems Analysis and …, 2019 – Springer
… [15] developed KNADIA, a conversational dialogue system for intra … and relations from the generated EKG using reference knowledge graphs such as DBPedia and Freebase [26] … Singh, M., et al.: KNADIA: enterprise KNowledge Assisted DIAlogue systems using deep learning …
A Language Generation Toolkit for Expressing Agreement in Small Talk
M Si – Proceedings of the 32nd International Conference on …, 2019 – dl.acm.org
… 2007. DBpedia: A Nucleus for a Web of Open Data … Social Dialogue with Embodied Conversational Agents. In Natural, Intelligent and Effective Interaction with Multimodal Dialogue Systems, J. van Kuppevelt, L. Dybkjaer, and N. Bernsen (Eds.). New York: Kluwer Academic …
Question Answering Systems Approaches and Challenges
R Alqifari – Proceedings of the Student Research Workshop …, 2019 – aclweb.org
… Dialog systems or chatbots are the system used for chatting with an agent … Recently, with the rapid growth of large-scale knowledge bases on the Web, such as DBpedia1 and Freebase, knowledge bases have become very important resources and promising approaches for …
Knowledge graph construction and applications for Web search and beyond
P Wang, H Jiang, J Xu, Q Zhang – Data Intelligence, 2019 – MIT Press
… While many knowledge graphs have been constructed and published, such as Freebase [1], Wikidata [2], DBpedia [3] and YAGO [4 … of knowledge graph in Sogou Inc.: entity detection and linking, knowledge-based question answering and knowledge-based dialog system …
Leap-lstm: Enhancing long short-term memory for text categorization
T Huang, G Shen, ZH Deng – arXiv preprint arXiv:1905.11558, 2019 – arxiv.org
… RNNs in the context of NLP, eg sentiment analysis [Liu et al., 2017], text categorization [Yogatama et al., 2017], document summarization [See et al., 2017], machine translation [Bah- danau et al., 2014], dialogue system [Serban et al … DBPedia Ontology classification 14 560k 70k …
A survey on question answering systems over linked data and documents
E Dimitrakis, K Sgontzos, Y Tzitzikas – Journal of Intelligent Information …, 2019 – Springer
… Domain Open Closed Wikipedia, Web of Documents, Dbpedia, Freebase, LOD Cloud Hotels Medical Movies Museums Types of Questions Comparative … Dialogue Systems A Dialogue System (DS) is a computer system designed to converse with a human …
Curate and generate: A corpus and method for joint control of semantics and style in neural nlg
S Oraby, V Harrison, A Ebrahimi, M Walker – arXiv preprint arXiv …, 2019 – arxiv.org
… Shereen Oraby, Vrindavan Harrison, Abteen Ebrahimi, and Marilyn Walker Natural Language and Dialog Systems Lab University of California, Santa … 2 – WebNLG (Gardent et al., 2017) 21k – DBPedia and Crowdsourcing (Domain: Wikipedia) MR: (Buzz-Aldrin, mission, Apollo …
Multi-layer Convolutional Neural Network Model Based on Prior Knowledge of Knowledge Graph for Text Classification
Y Meng, G Wang, Q Liu – … on Cloud Computing and Big Data …, 2019 – ieeexplore.ieee.org
… industries and fields, such as intelligent search, intelligent question and answer, personalized recommendation, human-computer interaction dialogue system and other … DBPedia is a 14-category data set with a dataset field containing the title and abstract of each Wikipedia …
FoodKG: a semantics-driven knowledge graph for food recommendation
S Haussmann, O Seneviratne, Y Chen… – International Semantic …, 2019 – Springer
… along with the corresponding nutrient information from USDA, that has more relevant information than what is available on DBpedia … and utensils–with supplementary class units, measures, and equivalencies, and the ontology is integrated into a dialogue system to answer the …
Learning emotion recognition and response generation for a service robot
JY Huang, WP Lee, BW Dong – IFToMM International Symposium on …, 2019 – Springer
… Essentially, the dialogue system includes a knowledge base with domain questions and the corresponding answers, and the dialogue service is to … find the optimal way to exploit the external knowledge), therefore, we choose the easiest method: directly attaching DBpedia to our …
Usability of Chatbots: A Systematic Mapping Study.
R Ren, JW Castro, ST Acuña, J de Lara – SEKE, 2019 – miso.es
… Research on dialogue systems can be traced back to the 50s, where Alan M. Turing posed the … of ELIZA at MIT in the 60s can be considered the first dialogue system [1]. Lately … In [17], during the evaluation, there were some problems with the DBpedia semantic entry point, which …
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
… 1.2 State of the Art and Limitations Popular knowledge bases like DBpedia, Wikidata or Yago have a … Session: Long – Question Answering and Dialogue Systems II … Another NLP application is dialog systems and chatbots (eg, [17]), where CSK adds plausibility priors to language …
Towards Understanding Gender Bias in Relation Extraction
A Gaut, T Sun, S Tang, Y Huang, J Qian… – arXiv preprint arXiv …, 2019 – arxiv.org
… These KBs are then used heavily in NLP systems, such as Task-Based Dialogue Systems … This combined with relation informa- tion about these entities obtainable from DBPedia, Wikipedia’s KB, allowed us to create WikiGender- Bias using our variant of the Distant Supervision …
A Scheme for Factoid Question Answering over Knowledge Base
B HAPPY, T AMAGASA – db-event.jpn.org
… Abstract Large scale knowledge bases like Freebase or DBpedia, consist of a large pool of information that is used to answer … Recently, Question Answering has also been applied in developing chat- bots[1] and dialogue systems designed to simulate human conversation …
Step-by-step: Separating planning from realization in neural data-to-text generation
A Moryossef, Y Goldberg, I Dagan – arXiv preprint arXiv:1904.03396, 2019 – arxiv.org
… For- mally, each input G consists of a set of triplets of the form (si,ri,oi), where si,oi ? V (“subject” and “object”) correspond to entities from DBPe- dia, and ri ? R is a labeled DBPedia relation (V and R are the sets of entities and relations, respec- tively) …
A Survey on Evaluation Methods for Chatbots [Draft Version]
W Maroengsit, S Pongnumkul, T Piyakulpinyo… – researchgate.net
… Octopus [15] presents a design and implementation of multi-agent based Sinhala chatbot. SOGO [40] is a semi-automatic social intelligent negotiation dialogue system that engages human users in negotiation … Sports 2018 La Liga [34] ? – Q&A 2018 DBpedia chatbot [4] – ? …
A Survey on Evaluation Methods for Chatbots
W Maroengsit, T Piyakulpinyo, K Phonyiam… – Proceedings of the …, 2019 – dl.acm.org
… SOGO [40] is a semi- automatic social intelligent negotiation dialogue system that engages human … Usbeck, “Enhancing Community Interactions with Data-Driven Chatbots The DBpedia Chatbot,” Iw3C2 … Liu, D. Yin, and J. Tang, “A Survey on Dialogue Systems: Recent Advances …
Logic-Based Natural Language Processing Winter Semester 2018/19 Lecture Notes
M Kohlhase – 2019 – kwarc.info
… Demo: DBPedia http://dbpedia.org/snorql/ Query: Soccer players, who are born in a country with more than 10 million inhabitants, who played as goalkeeper for a club that has a stadium with more than 30.000 seats and the club country is different from the birth … Dialog Systems …
A linguistic approach to short sentences keywords identification for a question answering system
D Araujo, SJ Rigo, BK Schmitt… – International Journal of …, 2019 – inderscienceonline.com
… The work of Wantroba and Romero (2014) presents a dialogue system methodology that aims to simplify the use of knowledge bases (KBs) in keyword … the English version is trying to locate a possible entity that exists in the English but not in the Portuguese version of DBPedia …
Improving Named Entity Recognition with Commonsense Knowledge Pre-training
G Dekhili, NT Le, F Sadat – Pacific Rim Knowledge Acquisition Workshop, 2019 – Springer
… This has been accentuated by the proliferation of Artificial Intelligence (AI) technologies like dialogue systems, recommendation systems and information … that they would not acquire from distributional semantics alone, nor from narrower resources such as WordNet or DBPedia …
Uw-bhi at mediqa 2019: An analysis of representation methods for medical natural language inference
WR Kearns, W Lau, JA Thomas – arXiv preprint arXiv:1907.04286, 2019 – arxiv.org
… QA) (Shen and Lapata, 2007; Roberts and Demner-fushman, 2016; He, 2015; Michael et al., 2018), and dialog systems (Larsson and … al (2017) showed that RESCAL embeddings pre- trained on DbPedia improved performance on the task of adverse drug reaction labeling over …
Towards a Natural Language-based Dialog Model as an Assistant Tool for Dementia Therapy
MJ Somodevilla… – Research in Computing …, 2019 – polibits.cidetec.ipn.mx
… Since language comprehension and production is coparatively well-preserved in people with mild to moderate AD, proposals using dialog systems or voice … relevant information according to the patient’s life history through the use of diverse ontologies such as DBpedia1. Finally …
Neural lexicons for slot tagging in spoken language understanding
K Williams – Proceedings of the 2019 Conference of the North …, 2019 – aclweb.org
… information from knowledge graphs, such as DBPedia1. In an indus- try setting, it is also possible that lexicons already exist for other natural language applications. Previous … to another 1https://wiki.dbpedia.org/ Page 2. 84 domain. This …
Populating Web Scale Knowledge Graphs using Distantly Supervised Relation Extraction and Validation
S Dash, MR Glass, A Gliozzo, M Canim – arXiv preprint arXiv:1908.08104, 2019 – arxiv.org
… Also, a web-scale experiment conducted to extend DBPedia with knowledge from Common Crawl shows that our system is not only scalable but also does not require any adaptation cost … Knowledge graphs (KGs) are widely used in question answering and dialogue systems …
On the role of knowledge graphs in explainable AI
F Lecue – Semantic Web, 2019 – content.iospress.com
… the rationale of questions sequencing in dialogue, debugging a plan-based dialogue system [45] or … G.áKobilarov, J.áLehmann, R.áCyganiak and ZGáIves, DBpedia: Aánucleus for … corpus: Aálarge dataset for research in unstructured multi-turn dialogue systems, in: Proceedings …
A COMMUNICATIVE ROBOT TO LEARN ABOUT US AND THE WORLD
S Baez – dialog-21.ru
… often sequence-to-sequence (seq2seq) models), see for example: the dialogue systems built from the … them, eg consulting other (trust- worthy) sources to get confirmation (eg DBpedia) … to disambiguation and entity coreference, well-suited for a mixed-initiative dialogue system …
Improving Response Quality in a Knowledge-Grounded Chat System Based on a Sequence-to-Sequence Neural Network
S Kim, H Kim, OW Kwon, YG Kim – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
… [6] T. Zhao, A. Lu, K. Lee and M. Eskenazi, “Generative encoder-decoder models for task-oriented spoken dialog systems with chatting capability,” arXiv preprint arXiv:1706.08476, 2017 … 45, no. 11, pp. 2673-2681, 1997. [10] DBPedia version 2016-04, Available : http://wiki …
Distantly Supervised Question Parsing
H Zafar, M Tavakol, J Lehmann – 2019 – researchgate.net
… Over the last few years, the emergence of large-scale Knowledge Graphs (KGs), such as DBpedia [18] and Freebase [4], provided well-structured information for … Some examples are using RL in text summa- rization [16], structure induction [45], and dialog systems [34, 19] …
A context-aware conversational agent in the rehabilitation domain
T Mavropoulos, G Meditskos, S Symeonidis… – Future Internet, 2019 – mdpi.com
… attracted much attention as well, with other methods varying between Hidden Markov Model (HMM)-based models [17] and incremental dialogue systems [18] … An essential unit of any dialogue system is the module that manages the interaction between the agent and the user …
FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation
MJ Zaki – academic.hugochan.net
… 6 The dbr prefix refers to http://dbpedia.org/resource and dbr:Chocolate_cake dereferences to http://dbpedia.org/resource/Chocolate … and utensils with supplementary class units, measures, and equivalencies, and the ontol- ogy is integrated into a dialogue system to answer the …
A systematic literature review on Wikidata
M Mora-Cantallops, S Sánchez-Alonso… – Data Technologies …, 2019 – emerald.com
… databases, and found “the quality of Wikidata with regard to the majority of relevant metrics […] higher than that of DBpedia.” … knowledge through inference on the Wikidata knowledge graph, in order to improve the response of human-like dialog systems when information is not …
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 …
A smart dialogue-competent monitoring framework supporting people in rehabilitation
T Mavropoulos, G Meditskos, E Kamateri… – Proceedings of the 12th …, 2019 – dl.acm.org
… Moreover, there have been various efforts towards speech generation and the most popular ones include HMM-based speech synthesis models [29], specialized incremental dialogue systems [12], and … 7 https://github.com/dbpedia-spotlight/dbpedia-spotlight 8 http://babelfy.org …
A survey on neural machine reading comprehension
B Qiu, X Chen, J Xu, Y Sun – arXiv preprint arXiv:1906.03824, 2019 – arxiv.org
… on how to use deep neural networks to build dialogue systems. Unlike the previous tasks, the open-domain question an- swering does not specify the passage of the given question. One solution is to build large-scale structured Knowledge Bases, such as DBpedia, and then …
LAMAL: LAnguage Modeling Is All You Need for Lifelong Language Learning
FK Sun, CH Ho, HY Lee – arXiv preprint arXiv:1909.03329, 2019 – arxiv.org
… The orange line coresponds to that of the second task. SQuAD1.1 WikiSQL SST SRL WOZ AGNews Amazon DBPedia Yahoo Yelp … A network-based end-to-end trainable task-oriented dialogue system. arXiv preprint arXiv:1604.04562. Xia, R.; Jiang, J.; and He, H. 2017 …
Evaluation Techniques for Chatbot Usability: A Systematic Mapping Study
R Ren, JW Castro, ST Acuña… – International Journal of …, 2019 – World Scientific
… Research on dialogue systems can be traced back to the 1950s, where Alan Turing posed the … of ELIZA at MIT in the 1960s, can be considered the ¯rst dialogue system [1]. In … In [22], during the evaluation, there were some problems with the DBpedia semantic entry point, which a …
Text Representation using Convolutional Networks
X Zhang – 2019 – search.proquest.com
… have reasonable a input signal that spans a natural dimension such as time or space. One example is a free-style dialogue system in which reasoning from some internal common sense memory is required, which may or may not have a natural …
Community Detection in Knowledge Graph Network with Matrix Factorization Learning
X Shi, Y Qian, H Lu – Asia-Pacific Web (APWeb) and Web-Age Information …, 2019 – Springer
… of knowledge graph will include knowledge fusion, semantic network, semantic search and recommendation, Q&A and dialogue system, and big data … detection algorithm to semantic Web data graph analysis, identifying different community groups from DBpedia database data …
Unifying knowledge graph learning and recommendation: Towards a better understanding of user preferences
Y Cao, X Wang, X He, Z Hu, TS Chua – The world wide web conference, 2019 – dl.acm.org
… Since proposed, KG has attracted much attention in many fields, ranging from recommendation [40], dialogue system [18, 21], to information extraction [3 … Nevertheless, existing KGs (eg, DBPedia [20]) are far from com- plete, which limits the benefits of the transferred knowledge …
LAMOL: LAnguage MOdeling for Lifelong Language Learning
FK Sun, CH Ho, HY Lee – International Conference on Learning …, 2019 – openreview.net
… SQuAD WikiSQL SST SRL WOZ AGNews Amazon DBPedia Yahoo Yelp GPT-2 score 72.3 70.7 90.9 70.4 84.9 94.6 62.3 99.1 73.9 67.7 … A network-based end-to-end trainable task-oriented dialogue system. arXiv preprint arXiv:1604.04562, 2016. R. Xia, J. Jiang, and H. He …
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] …
Automatic MEP Knowledge Acquisition Based on Documents and Natural Language Processing
S Leng, ZZ Hu, Z Luo, JP Zhang, JR Lin – linjiarui.net
… In addition to the Google Knowledge Graph, some instances of general Nnowledge graph include DBpedia (Lehmann et al., 2015) and YAGO (Fabian … Moreover, the Nnowledge graph can be used as databases of various AI applications such as reasoning and dialog system …
Modeling Machine Learning Agent for Interaction Conversational System Using Max Entropy Approach in Natural
AK Negi, SI Hassan – Data Communication and Networks …, 2019 – books.google.com
… area where NER is used is text razor which extracts different entities from several sources of data such as Wikipedia, DBpedia, wiki data … First, the computer and human dialogue system where they both understand each other and response back and second are the systems of …
Unsupervised Graph-based Discourse Planning and Generation
A Singh, N Chatterjee – IETE Technical Review, 2019 – Taylor & Francis
… We use the API provided by DBpedia for fetching the gender of each person using the Data Type … Web,” Combined Workshop on Language-Enabled Educational Technology and Development and Evaluation of Robust Spoken Dialogue Systems, European Conference on AI …
Graph and neural network-based intelligent conversation system
A Arora, A Srivastava, S Bansal – Nature-Inspired Algorithms for Big …, 2019 – igi-global.com
… The outcome as shown in figure 1(b) is possible using DBpedia knowledge base … How not to evalu- ate your dialogue system: An empirical study of unsupervised evaluation metrics … Building End- To-End Dialogue Systems Using Generative Hierarchical Neural Network Models …
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
… Meanwhile, large-scale knowledge base (KB) like DBPedia (Auer et al., 2007) or Freebase (Bollacker et al., 2008) has been built to store world’s facts in a structure database, which is used to support open-domain question an- swering (QA) in those assistants …
Interactive Question-Posing System for Robot-Assisted Reminiscence from Personal Photos
YL Wu, E Gamborino, LC Fu – IEEE Transactions on Cognitive …, 2019 – ieeexplore.ieee.org
… talk about depended heavily on predefined rules that were manually designed in the dialogue system and its … in order to be able to handle the responses from the user, dialogue systems often pose … vision modules and linked the graph to the corresponding nodes in DBpedia [23 …
Developing context-aware dialoguing services for a cloud-based robotic system
JY Huang, WP Lee, TA Lin – IEEE Access, 2019 – ieeexplore.ieee.org
… We developed a context-aware human-robot dialogue system for our cloud robot to provide … For dialogue systems, most of the traditional approaches for natural language processing are based on … a robot consultant, we attach an external knowledge base (here, DBpedia) to the …
NLP commercialisation in the last 25 years
R Dale – Natural Language Engineering, 2019 – cambridge.org
… Voice dialog systems of the 1990s, where finite-state dialog … And in another instance of history rhyming, gazetteers – that mainstay of the earliest approaches to named entity recognition – are back, but in the richer form of knowledge graphs built from sources like DBpedia …
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 …
Commonsense knowledge mining from pretrained models
J Feldman, J Davison, AM Rush – arXiv preprint arXiv:1909.00505, 2019 – arxiv.org
… Aug- menting end-to-end dialogue systems with common- sense knowledge … 0} is defined as {1}”, “{0} is the {1}” ], “Entails”: [ “if {0} is happening, {1} is also happening” ], “MannerOf”: [ “{0} is a specific way of doing {1}” ], “LocatedNear”: [ “{0} is located near {1}” ], “dbpedia”: [ “{0} is …
Stylistic Control for Neural Natural Language Generation
S Oraby – 2019 – escholarship.org
… 5.1 Sample DBPedia SparQL query to retrieve foods. . . . . 121 5.2 Extracting information from a review sentence parse to create an MR. 124 5.3 MR distribution in YelpNLG train. . . . . 129 …
Question Classification for Health Care Domain Using Rule Based Approach
S Agrawal, N Mishra – International Conference on Innovative Data …, 2019 – Springer
… Sci. Manag. 1(5) (2015). ISSN: 2394-1766Google Scholar. 6. Topez, V.: Ontology-based Inference for Information-seeking in natural language dialog system … Comput. 5(4), 294–300 (2015)Google Scholar. 28. Tahri, A.: DBPEDIA based factoid question answering system. Int …
DeepAssist: Deep Knowledge Grounding for Factual and Conversational Natural Language Interfaces
S Yavuz – 2019 – escholarship.org
… marization, and machine translation. However, these models are known to have several problems, especially in the context of chit-chat based dialogue systems: they tend to … 2.1 Introduction Large scale knowledge bases (KB) like Freebase [8], DBpedia [9], and YAGO [10] that …
Generating textual adversarial examples for deep learning models: A survey
WE Zhang, QZ Sheng, AAF Alhazmi, C Li – arXiv preprint arXiv …, 2019 – deepai.org
01/21/19 – With the development of high computational devices, deep neural networks (DNNs), in recent years, have gained significant populari…
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
… The most common knowledge base are DBpedia [23] and Freebase [24], which automatically generate structured knowledge repositories based … and relationship extraction of long sentences, automatic generation of knowledge base, multi-round dialogue system, and accurate …
Assessing the Difficulty of Classifying ConceptNet Relations in a Multi-Label Classification Setting
M Becker, M Staniek, V Nastase, A Frank – arXiv preprint arXiv:1905.05538, 2019 – arxiv.org
… With very few excep- tions (eg, SYNONYM or ANTONYM), CONCEPTNET-relations are asymmetric. The English version consists of 1.9 million concepts and 1.1 million links to other databases, such as DBpedia. In our work we focus on the English OMCS subpart (CN-OMCS) …
Knowledge extraction from simplified natural language text
H Abdelaal – corpus, 2019 – aran.library.nuigalway.ie
Page 1. Provided by the author(s) and NUI Galway in accordance with publisher policies. Please cite the published version when available. Downloaded 2020-06-11T17:41:08Z Some rights reserved. For more information, please see the item record link above …
Comprehensive structured knowledge base system construction with natural language presentation
SA Khanam, F Liu, YPP Chen – Human-centric Computing and Information …, 2019 – Springer
… CRISP [21]. Then, we automatically build OMRKBS based on this base ontology from three reliable KBS: DBpedia [1], ConceptNet [11] and WordNet [13]. This … OMRKBC with instances from DBpedia. Importing instances from …
Neural Name Tagging for Low-Resource Languages
B Zhang – 2019 – blender.cs.illinois.edu
… tasks, such as relation extraction and event extraction, and it also plays an important role in industrial applications, such as Question Answering and Dialogue System. State-of-the-art name tagging approaches rely on supervised machine learning mod …
Ambient Assisted Living with Deep Learning
E Merdivan – 2019 – tel.archives-ouvertes.fr
… important components: improving activity recognition, addressing privacy concerns and developing intelligent dialogue systems for AAL systems, with an emphasis on a framework which is flexible and scalable for real-world applications. Page 20. Chapter 1. Introduction 3 …
Towards the Automatic Classification of Student Answers to Open-ended Questions
JG Alvarado Mantecon – 2019 – ruor.uottawa.ca
… 30 Figure 9. DBpedia Spotlight Semantic Web resource association. …. 31 Figure 10 … 32 Figure 11. Example of entity mention and entity URIs using DBpedia Spotlight. …. 33 …
Retrieving Relationships from a Knowledge Graph for Question Answering
P Agarwal, M Ramanath, G Shroff – European Conference on Information …, 2019 – Springer
… Many open domain knowledge graphs are publicly available: Yago [38], Freebase [7], NELL [12] DBpedia [2], etc … COMAD (2017)Google Scholar. 2. Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: DBpedia: a nucleus for a web of open data …
Adaptive and Personalized Systems Based on Semantics
P Lops, C Musto, F Narducci, G Semeraro – Semantics in Adaptive and …, 2019 – Springer
… Next, in Sects. 5.1.2.3 and 5.1.2.4, we focus on the approaches which are able to map the whole items, rather than their descriptive features, to concepts in a knowledge graph such as DBpedia … 5.5. Fig. 5.5 Sample RDF graph extracted from DBpedia and LinkedMDB …
A comparative survey of recent natural language interfaces for databases
K Affolter, K Stockinger, A Bernstein – The VLDB Journal, 2019 – Springer
… Usually, such a dictionary is based on DBpedia [34] and/or WordNet [42]. 3.3 Tokenization … For example, domain-specific ontologies with concepts (like the concept ‘great movie’ in the sample world) or DBpedia to identify homonyms and synonyms …
Reverse engineering creativity into interpretable neural networks
M Oita – Future of Information and Communication Conference, 2019 – Springer
… In addition, generic ontologies built from Wikipedia like Freebase, DBPedia, Yago etc., or built by experts like Wordnet, provide a … can be shown in applications in which creativity is more than encouraged: generative systems eg, language models, dialogue systems and chatbots …
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 …
Explainable outfit recommendation with joint outfit matching and comment generation
Y Lin, P Ren, Z Chen, Z Ren, J Ma… – IEEE Transactions on …, 2019 – ieeexplore.ieee.org
… textual space. 2.3 Text generation Text generation involves a wide variety of tasks and stud- ies, such as text summarization [23, 24], machine transla- tion [25, 26], dialogue systems [27, 28], and image caption- ing [29, 30]. We …
Image-based Text Classification using 2D Convolutional Neural Networks
E Merdivan, A Vafeiadis, D Kalatzis… – … Advanced & Trusted …, 2019 – ieeexplore.ieee.org
… Sogou News (Chinese) 93.1-94.5 – 98.0 5 DBPedia 91.4-98.7 91.7 94.5 14 … 3531–3541. [29] R. Lowe, IV Serban, M. Noseworthy, L. Charlin, and J. Pineau, “On the evaluation of dialogue systems with next utterance classification,” Proceedings of the 2016 SIGDIAL, 2016 …
Chatbot Components and Architectures
B Galitsky – Developing Enterprise Chatbots, 2019 – Springer
… A chatbot (conversational agent, dialogue system) is a computer system that operates as an interface between human users and a software application, using spoken or written natural language as the primary means of communication. Chatbots Dialogue systems interact with …
Neural Graph Embedding methods for Natural Language Processing
S Vashishth – arXiv preprint arXiv:1911.03042, 2019 – arxiv.org
… nodes represent entities and edges represent relationships between them. Recent research has resulted in the development of several large KGs; examples include DBpedia, YAGO, NELL, and Freebase. However, all of them tend to be sparse with very few facts per entity. For …
Genetic algorithm based sentence packaging in natural language text generation
D Devyatkin, V Isakov, A Shvets – IOP Conference Series …, 2019 – iopscience.iop.org
… E, Gardent C, Mrabet Y, Narayan S and Perez-Beltrachini L 2016 The WebNLG challenge: Generating text from dbpedia data Proc … N, Su PH, Vandyke D and Young S 2015 Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems Proc …
An Architecture for Dynamic Conversational Agents for Citizen Participation and Ideation
S Ahmed – researchgate.net
Page 1. DEPARTMENT OF INFORMATICS TECHNISCHE UNIVERSITÄT MÜNCHEN Master’s Thesis in Data Engineering and Analytics An Architecture for Dynamic Conversational Agents for Citizen Participation and Ideation Saifeldin Ahmed Page 2 …
Explainable Zero-shot Learning via Attentive Graph Convolutional Network and Knowledge Graphs
Y Geng, J Chen, Z Ye, W Zhang, H Chen – pdfs.semanticscholar.org
… of unseen classes, with impressive (important) seen classifiers detected, while the latter generates human-understandable explanations of the transferability with class knowledge that are enriched by external KGs, including a domain-specific Attribute Graph and DBpedia …
Identifying facts for chatbot’s question answering via sequence labelling using recurrent neural networks
M Nuruzzaman, OK Hussain – Proceedings of the ACM Turing …, 2019 – dl.acm.org
… If there is no result in the knowledge database, the system will look for online information retrievals such as DBpedia or selected websites. Failing that, user input will be handled by DRNN to create conversational output. 7 Conclusion …
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
… This idea is used in various knowledge bases or knowledge management applications, including DBpedia, YAGO, Freebase, Wikidata, Spark … technology, NLP has played significant roles in various applications, including conversational agent or dialogue systems [29], machine …
On inductive abilities of latent factor models for relational learning
T Trouillon, E Gaussier, CR Dance… – Journal of Artificial …, 2019 – jair.org
… data representation for the semantic web, the resource description framework (Cyganiak, Wood, & Lanthaler, 2014), various knowledge graphs—also called knowledge bases—have been collaboratively or automatically created in recent years such as DBpedia (Auer et al …
Comparison of Named Entity Recognition Tools Applied to News Articles
S Vychegzhanin, E Kotelnikov – 2019 Ivannikov Ispras Open …, 2019 – ieeexplore.ieee.org
… The article [8] explores GATE, Stanford NER, Stanford- Twitter, NERD-ML, DBpedia Spotlight, Lupedia, TextRazor, Zemanta … M. Vikhreva, M. Zaynutdinov, “DeepPavlov: Open-Source Library for Dialogue Systems”, in Proceedings of the 56th Annual Meeting of the Association for …
Experimental study of socio chatbot usability
R Ren – 2019 – repositorio.uam.es
… Figure 2.1: Relationships between classes of software-based dialog systems … Research on dialogue systems can be traced back to the 1950s, when Alan M. Turing posed the … development of ELIZA at MIT in 1960, can be considered the first dialogue system [19] …
Research on Knowledge Discovery and Affective Computing for Short Text Processing
?? – 2019 – repo.lib.tokushima-u.ac.jp
… related to dialogue systems have received increasing attention from major IT companies and research institutions … In the dialogue system or QA system, the uncertainty and handling difficulties of short … source knowledge database such like Freebase[21] and DBpedia[22] …
Machine learning based review on Development and Classification of Question-Answering Systems
S Uttarwar, S Gambani, T Thakkar… – 2019 3rd International …, 2019 – ieeexplore.ieee.org
… base. F. Abbas [22] Structured, web- based Knowledge bases like DBpe- dia, Freebase and Infobox de- veloped from Wikipedia arti- cles. DBpedia data is available in CSV and RDF which can be queried using SPARQL. Free …
Contributions to Social Learning Analytics based on Sentiment Analysis of Students’ Interactions in Educational Environments
MJD Torres – 2019 – catarina.udlap.mx
… of computer dialogue systems (Chen, Liu, Yin & Tang, 2017), machine translation (Gaspari … Hamdan, Bechet & Bellot 2013 Supervised ML SVM, NB Unigrams, concepts (DBPedia), verb groups/adjectives (WordNet) and senti-features (SentiWordNet) …
A comparative study of Chinese and European Internet companies’ privacy policy
Y Wang – Linguistics – utupub.fi
… Although open knowledge graphs like YAGO (Suchanek, Kasneci & Weikum, 2007) and DBpedia (Lehmann et al., 2015) are very mature, the domain knowledge graph is in a need of … University, DBpedia (Lehmann et al., 2015) and Freebase based (Bollacker, Evans …
Text mining in education
R Ferreira?Mello, M André, A Pinheiro… – … : Data Mining and …, 2019 – Wiley Online Library
Abstract The explosive growth of online education environments is generating a massive volume of data, specially in text format from forums, chats, social networks, assessments, essays, among other…
Contextual Fact Ranking and Its Applications in Table Synthesis and Compression
S Huang, J Liu, F Korn, X Wang, Y Wu… – Proceedings of the 25th …, 2019 – dl.acm.org
Page 1. Contextual Fact Ranking and Its Applications in Table Synthesis and Compression Silu Huang 1 , Jialu Liu 2 , Flip Korn 2 , Xuezhi Wang 2 , You Wu 2 , Dale Markowitz 2 , Cong Yu 2 1University Of Illinois at Urbana-Champaign …
Type-aware Convolutional Neural Networks for Slot Filling
H Adel, H Schütze – Journal of Artificial Intelligence Research, 2019 – jair.org
… Given a knowledge base, answering a question like “Who founded Apple?” would require only a simple lookup. Similarly, an automatic assistant or dialogue system could satisfy the needs of users more easily with the access to a background knowledge base …
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
… DBpedia and Freebase are such knowl- edge bases that include encyclopedic data about multiple domains … 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 …
Subsidia: Tools and Resources for Speech Sciences
JME Lahoz-Bengoechea, RE Pérez Ramón – 2019 – riuma.uma.es
Page 1. Page 2. Page 3. SUBSIDIA: Tools and resources for speech sciences José María Lahoz-Bengoechea and Rubén Pérez Ramón (Eds.) Universidad de Málaga Page 4. Page 5. Page 6. Page 7. 1 Copyright: © 2019 Universidad de Málaga …
Learning Neural Knowledge Representations
B Dhingra – 2019 – cs.cmu.edu
Page 1. March 26, 2019 DRAFT Learning Neural Knowledge Representations esis Proposal Bhuwan Dhingra March 26, 2019 School of Computer Science Carnegie Mellon University Pi sburgh, PA 15213 esis Committee: William W. Cohen (co-chair) …
Robot Data-Driven Imitation Learning of Human Social Behavior with Time-Persistent Interaction Context
M Robert Doering – 2019 – ir.library.osaka-u.ac.jp
… agent domain collected in a Wizard-of-Oz setting and was designed for “adding mem- ory to goal-oriented dialog systems” [26] … Janarthanam and Lemon presented a finite-state based dialog system for setting up home broadband networks that learned to adapt to users with …
Proposal of a Hybrid Approach for Natural Language Generation and its Application to Human Language Technologies
C Barros – 2019 – rua.ua.es
Page 1. Proposal of a Hybrid Approach for Natural Language Generation and its Application to Human Language Technologies Cristina Barros Catalán Page 2. Departamento de Lenguajes y Sistemas Informáticos Escuela Politécnica Superior Proposal of a Hybrid Approach for …
Language Sense and Communication on Computer
A Abe – downloads.hindawi.com
… Student Evaluations of a (Rude) Spoken Dialogue System Insights from an Experimental Study Regina Jucks , Gesa A. Linnemann , and Benjamin Brummernhenrich Research Article (10 pages), Article ID 8406187, Volume 2018 (2019) Page 7. Editorial …
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 …
Imposing Bilingual Lexical Constraints to Neural Machine Translation
HS Shavarani – 2019 – sfu.ca
Page 1. Imposing Bilingual Lexical Constraints to Neural Machine Translation by Hassan S. Shavarani M.Sc., Simon Fraser University, 2016 B.Sc., Amirkabir University of Technology, 2014 Depth Report Submitted in Partial …
Beyond Labels and Captions: Contextualizing Grounded Semantics for Explainable Visual Interpretation
SN Aakur – 2019 – search.proquest.com
… 4.1 ConceptNet: A Source of Common Sense Knowledge There is an emerging use of knowledge bases for semantics, either an existing ones like DBPedia [144], WordNet [145] and ConceptNet [146] or constructing a domain-specific from cross- domain datasets ones like the …