DBpedia & Chatbots 2018


Resources:

  • dbpedia.org .. datasets of structured content extracted from wikipedia

Wikipedia:

See also:

100 Best DBpedia VideosDBpedia & Question Answering Systems 2017


Enhancing Community Interactions with Data-Driven Chatbots–The DBpedia Chatbot
RG Athreya, AC Ngonga Ngomo… – Companion of the The Web …, 2018 – dl.acm.org
In this demo, we introduce the DBpedia chatbot, a knowledge-graph-driven chatbot designed to optimize community interaction. The bot was designed for integration into community software to facilitate the answering of recurrent questions. Four main challenges …

Developing Chatbots
NK Manaswi – Deep Learning with Applications Using Python, 2018 – Springer
… 300. -. 174,000. Word2Vec. Syntactic Dependencies. Levy & Goldberg. DBPedia vectors (wiki2vec). 1000. -. -. Word2Vec. BoW, 10. Idio. Building the Response. Reponses are another important part of chatbots. Based on how a chatbot replies, a user may get attracted to it …

Chatbot Who Wants to Learn the Knowledge: KB-Agent
Y Hahm, J Kim, S An, M Lee, KS Choi – semanticweb.kaist.ac.kr
… KB-agent is a chat- bot that is intended to ask for completing the knowledge in the given KB and find the new entity … 1. Athreya, Ram G., Ngomo, Axel-Cyrille Ngonga., Usbeck, Ricardo.: Enhancing Community Interactions with Data-Driven Chatbots–The DBpedia Chatbot …

Chatbot: An Education Support System for Student
F Clarizia, F Colace, M Lombardi, F Pascale… – … on Cyberspace Safety …, 2018 – Springer
… A more advanced type of chat bot, called a “chatterbot” can respond to messages in plain English (or other languages), appearing to be an actual … Athreya, RG, Ngomo, ACN, Usbeck, R.: Enhancing community interactions with data-driven Chatbots–the DBpedia Chatbot …

Analysis Of The Chatbot Open Source Languages AIML And Chatscript: A Review
S Arsovski, AD Cheok, M Idris, MRBA Raffur – researchgate.net
… ANALYSIS OF THE CHATBOT OPEN SOURCE … for manipulating natural language and conversation agents Connection to external resources Freebase, Wikidata, DBPedia, Yago, Wordnet … B. Pradeepkumar and T. Das, “A Study of Today’s AI through Chatbots and Rediscovery …

Ticketing Chatbot Service using Serverless NLP Technology
E Handoyo, M Arfan, YAA Soetrisno… – 2018 5th …, 2018 – ieeexplore.ieee.org
… Page 3. Figure 2 Chatbot Architecture [6] … Linear model stores collection of the word come from DBpedia dataset with a defined position on the sentence as a subject, verb or object in multidimensional vector [1]. If the user’s chat is having similarity with phrase or word from the …

Automatic Web-Based Question Answer Generation System for Online Feedable New-Born Chatbot
SA Abdul-Kader, J Woods, T Thabet – Science and Information Conference, 2018 – Springer
… feed this Chatbot is websites such as: Wikipedia for unstructured data and DBpedia for structured … As the Chatbot bases its knowledge on statements or sentences and uses them to hold … Chatbots can assist in human computer interaction and they have the ability to examine and …

Demoing platypus–A multilingual question answering platform for wikidata
TP Tanon, MD de Assuncao, E Caron… – European Semantic Web …, 2018 – Springer
… semantic parsing. In: EMNLP (2017)Google Scholar. 4. Athreya, RG, Ngomo, ACN, Usbeck, R.: Enhancing community interactions with data-driven chatbots – the DBpedia chatbot. In: WWW Demo (2018)Google Scholar. 5. Unger …

Measuring semantic coherence of a conversation
S Vakulenko, M de Rijke, M Cochez… – International Semantic …, 2018 – Springer
… References. 1. Athreya, RG, Ngonga, A., Usbeck, R.: Enhancing community interactions with data-driven chatbots – the DBpedia chatbot. In: WWW 2018 Companion. ACM (2018)Google Scholar. 2. Barzilay, R., Lapata, M.: Modeling local coherence: an entity-based approach …

Improving the User Experience with a Conversational Recommender System
F Narducci, M de Gemmis, P Lops… – … Conference of the Italian …, 2018 – Springer
… In this paper we propose a movie recommender system implemented as Telegram chatbot 1 . Chatbots are a kind of bots which emulate user … The entities and properties the chatbot deals with (eg movies, directors, actors, genres, etc.) are extracted from DBpedia 2 . The …

State-of-the-Art Approaches for German Language Chat-Bot Development
N Boisgard – 2018 – ec.tuwien.ac.at
… Figure 1.2: The number of publications containing the terms “chatbot”, “chatterbot”, “chat-bot” or “chat bot … to create, host and integrate chat-bot applications, eg using Microsoft’s Bot Framework8 or IBM’s … to get an overview over the current state-of-the-art in the field of chat-bots …

Towards a question answering system over the Semantic Web
D Diefenbach, A Both, K Singh, P Maret – Semantic Web, 2018 – content.iospress.com
… In our evaluation, the impact of our approach is proven using 5 different well-known and large KBs: Wikidata, DBpedia, MusicBrainz, DBLP and Freebase as well as 5 different languages namely English, German, French, Italian and Spanish … UTQA [59], En, es, fs, DBpedia, Full …

Template-Based Question Answering over Linked Data Using Recursive Neural Networks
RG Athreya – 2018 – search.proquest.com
… The Semantic Web contains large amounts of related information in the form of knowledge graphs such as DBpedia. These knowledge graphs are typically enormous … for further processing eg: DBpedia Spotlight for named entity recognition, RelMatch for relational mapping, etc …

Question Answering over Linked Data: A Feasibility Study
B Verfaillie – 2018 – lib.ugent.be
… A recently new player in the UI are chatbots … Figure 1. High level architecture of a chatbot system, showing the most important components and process flow … org/ 5Open-World-Assumption: https://en.wikipedia.org/wiki/Open-world assumption 6DBPedia: http://wiki.dbpedia.org …

Text analytics APIs, Part 2: The smaller players
R Dale – Natural Language Engineering, 2018 – cambridge.org
… as useful functionality, and in fact a few of the vendors discussed here appear to be moving their main focus to the chatbots space; but … (3) Do you need identified entity mentions to be disambiguated via linking to some external knowledge source, such as Wikipedia or DBpedia …

Creating Real-Time Dynamic Knowledge Graphs
S Padhee, S Lalithsena, AP Sheth – 2018 – corescholar.libraries.wright.edu
… during a disaster response. ? Chatbots: DKG can provide a structured platform for the more accurate chatbot responses … Graph (DKG) which is complementary to the static information in traditional knowledge graphs such as DBpedia, Freebase and YAGO …

Grasping metaphors: Lexical semantics in metaphor analysis
E Mensa, A Porporato, DP Radicioni – European Semantic Web …, 2018 – Springer
… for building computational systems to deal with Natural Language, such as, eg, conversational agents underlying chat bots, automatic summarization … pieces of information in machine readable format, such as RDF triples, linked to encyclopedic resources such as DBpedia …

A Talker Ensemble: The University of Wroclaw’s Entry to the NIPS 2017 Conversational Intelligence Challenge
J Chorowski, A Lancucki, S Malik… – The NIPS’17 …, 2018 – Springer
… DBpedia Talker assigns partial confidence scores throughout the entire process … Beyond these, contestants were granted free choice in defining the main purpose of their chatbots … Finally, we would like to thank everyone who was patient enough to talk to our chatbot during its …

Providing an IM Cross-Platform Game Engine for Text-Messaging Games
V Sarinho, G Azevedo… – 2018 17th Brazilian …, 2018 – ieeexplore.ieee.org
… the evolution of IM technologies, in this case from Short Messaging Service (SMS) to modern IM platforms supported by Chatbot games … like quiz game with questions automatically generated from DBpedia, gathering ranking information about persons to provide a basis for the …

Towards Deep Conversational Recommendations
R Li, SE Kahou, H Schulz, V Michalski… – Advances in Neural …, 2018 – papers.nips.cc
… The chat bot is made of several components, including: a rule-based component, a matching-score component that compares the context with similar … We gathered entities from DBpedia that were of type <http://dbpedia.org/ontology/Film> to obtain a list of movies, but also …

Query Understanding via Entity Attribute Identification
A Dargahi Nobari, A Askari, F Hasibi… – Proceedings of the 27th …, 2018 – dl.acm.org
… Understanding the underlying intent of search queries is a crucial component in virtually every semantic search system, either being a web search engine, a chatbot, or an e-commerce website. It has been long recognized that knowledge bases such as DBpedia, Freebase, and …

Inflection-tolerant ontology-based named entity recognition for real-time applications
C Jilek, M Schröder, R Novik, S Schwarz… – arXiv preprint arXiv …, 2018 – arxiv.org
… number of application areas, in which users are supported by systems that operate in (near) real-time, grows: chatbots, digital companions … NER, we fed the first paragraph of the German Wikipedia article of Propositional calculus (German: Aussagen- logik) to DBpedia Spotlight4 …

Building a Commonsense Knowledge Base for a Collaborative Storytelling Agent
DT Ong, CR De Jesus, LK Gilig, JB Alburo… – Pacific Rim Knowledge …, 2018 – Springer
… A chatbot mainly uses text understanding and generation techniques to communicate with its … Rather, chatbots currently serve the role of helpers or assistants to humans … including those crowdsourced through the Commonsense Computing Initiative, DBPedia, Wiktionary, Games …

Conversational IT Service Management
K Kloeckner, J Davis, NC Fuller, G Lanfranchi… – Transforming the IT …, 2018 – Springer
… Some chatbots also provide built in entity models for well understood concepts such as temporal, and … Since integrating such a search engine is usually an easy task, the chatbot can be … corpus along with a variety of on-line resources (such as Wikipedia, DBPedia, Yago and etc …

The First Conversational Intelligence Challenge
M Burtsev, V Logacheva, V Malykh, IV Serban… – The NIPS’17 …, 2018 – Springer
… To answer questions, the dialogue system relies heavily on factual data sourced mostly from Wikipedia and DBpedia, as well as real-world data of user … Meanwhile, the quality of chatbots can also be defined by user success in the task, in a way that a good chatbot should be …

Conversational Assistant for an Accessible Smart Home: Proof-of-Concept for Portuguese
M Ketsmur, A Teixeira, N Almeida, S Silva… – Proceedings of the 8th …, 2018 – dl.acm.org
… The other were excluded: Amazon LEX because it is not completely free, WIT.AI because it discontinued the possibility of chatbot development, and fnally Microsoft Luis was excluded because although there are many chatbots based on it, it does not allow to create a chatbot …

Using Deep Learning and an External Knowledge Base to Develop Human-Robot Dialogues
JY Huang, TA Lin, WP Lee – 2018 IEEE International …, 2018 – ieeexplore.ieee.org
… keys. Recently, the demand on chatbots has begun to perform open-domain conversations … knowledge. Therefore, we choose the easiest method (ie, the first type of methods mentioned above) to directly attach DBpedia to our system …

Toward An Arabic Question Answering System Over Linked Data
A Bouziane, D Bouchiha, N Doumi, M Malki – researchgate.net
… The system uses a simple (but large) set of pattern-template matching rules and converts a text corpus into the AIML chatbot model format … Now, we have to build a SPARQL query to retrieve the DBpedia Arabic properties of the resource in question …

Hybrid Search Approach for Retrieving Medical and Health Science Knowledge from Quran
MAM Safee, MM Saudi, SA Pitchay… – … of Engineering & …, 2018 – researchgate.net
… The Chatbot matches the important word from the search field and perform simple keyword based searching to find the relevant verses … Additionally, the QuranMed also has added the linking between the Medical and Health Science concept and DBpedia as shown in Figure 2 …

Building an ecosystem for the tyrolean tourism knowledge graph
E Kärle, U ?im?ek, O Panasiuk, D Fensel – International Conference on …, 2018 – Springer
… The DBPedia and YAGO knowledge graphs uses the infoboxes and categories in the Wikipedia … knowledge graph consolidates these annotations and enables intelligent applications like chatbots to contribute … The result is a fully functional chatbot-like assistant system on top of …

Alana v2: Entertaining and Informative Open-domain Social Dialogue using Ontologies and Entity Linking
AC Curry, I Papaioannou, A Suglia, S Agarwal… – m.media-amazon.com
… As such, our social chatbot was designed to have the following behaviour … In the second case, we rely on the DBpedia endpoint 5 to retrieve the equivalent entity in the DBpedia knowledge base and, through the property owl:sameAs, we search for the related entity in the …

A Linguistic Approach to Short Query and Answer Systems
DA de Araujo, AR Hentges, S Rigo – … of the XIV Brazilian Symposium on …, 2018 – dl.acm.org
… A solução apresentada propõe-se a superar as principais restrições dos chatbots baseados em casamento … interação entre o usuário eo chatbot; (2) o analisador de diálogo, que extrai um … do usuário, a busca da resposta utilizando as ontologias (como a DBPedia, por exemplo …

Text analytics APIs, Part 1: The bigger players
R Dale – Natural Language Engineering, 2018 – cambridge.org
… The continued high level of interest in chatbots and virtual assistants means that every vendor also has a range of language-related services to support dialogic applications of that type, but that’s not what we’re considering here … If available, a DBpedia link for the entity …

Incorporating Relevant Knowledge in Context Modeling and Response Generation
Y Li, W Li, Z Cao, C Chen – arXiv preprint arXiv:1811.03729, 2018 – arxiv.org
… The larger the size of the entity set, the harder it will be for the chatbots to reason … guides the decoder to prefer entities with similar representations, and thus allows the chatbot follow the … ME has the largest coverage in movie domain compared to others like CN-DBPedia (Xu et al …

Domain Knowledge Driven Key Term Extraction for IT Services
P Mohapatra, Y Deng, A Gupta, G Dasgupta… – … Conference on Service …, 2018 – Springer
… a knowledge graph, which provides context information and inference capabilities for search and chat-bots … the quality of cognitive applications on top of search, chat-bot/dialog systems … Large open knowledge bases like Yago, DBPedia and Wordnet include general concepts …

Supporting Digital Healthcare Services Using Semantic Web Technologies
G Barisevi?ius, M Coste, D Geleta, D Juric… – International Semantic …, 2018 – Springer
… with doctors, Babylon has been developing an AI-based doctor accessible through a chatbot, which can be used for symptom checking and triaging—that is, determining if the conditions that a user is entering in the chatbot are critical … External links to DBpedia and/or Wikidata …

Benchmarking authorship attribution techniques using over a thousand books by fifty Victorian era novelists
A Gungor – 2018 – scholarworks.iupui.edu
… We have created a data driven and visu- ally stunning chatbot. Thank you team, for your hard work and making our time at Purdue worthwhile. Page 5. v … American National Corpus – Wikipedia XML Data or Dbpedia – ClueWeb09 – Personae Corpus – Turkish National Corpus …

Toward a User-Adapted Question/Answering Educational Approach
C Alzetta, G Adorni, I Celik, F Koceva… – Adjunct Publication of the …, 2018 – dl.acm.org
… [13] Adrian Iftene and Jean Vanderdonckt. 2016. Moocbuddy: a chatbot for person- alized learning with moocs. In RoCHIâ??International Conference on Human- Computer Interaction. 91 … 2017. A semantic approach for question answering using DBpedia and WordNet …

Ontology-Based Natural Language Query Interfaces for Data Exploration
C Lei, F Ozcan, A Quamar, A Mittal, J Sen… – Data …, 2018 – sites.computer.org
… characteristic of these enterprise knowledge bases, compared to the open-domain general purpose knowledge bases like DBpedia [16] and … It serves a wide variety of applications including NLQ Service, Conversational Services that enable chat bots, and other applications that …

Enhancing Profile and Context Aware Relevant Food Search through Knowledge Graphs
U Zulaika, A Gutiérrez, D López-de-Ipiña – … Digital Publishing Institute …, 2018 – mdpi.com
… hand, enhances recommendation about miniature food with cognitive features, eg, a chat bot, sentiment analysis of … Different approaches like YAGO [13], WikiData [14], DBpedia [15], ConceptNet [16], Reverb [17 … by clicking a button from the interface or asking the chatbot to give …

AI on software engineering processes
C Miralles Pena – 2018 – upcommons.upc.edu
… these IM systems to extend their functionalities and many companies are build- ing chatbots in front of their services. Therefore, we are also convinced that human-chatbot interaction is a natural approach to implement the tool afore- mentioned …

Empirical Evaluation of Character-Based Model on Neural Named-Entity Recognition in Indonesian Conversational Texts
K Kurniawan, S Louvan – arXiv preprint arXiv:1805.12291, 2018 – arxiv.org
… The most commonly used datasets are news articles (Budi et al., 2005), Wikipedia/DBPedia articles (Luthfi et al., 2014; Leonandya et al., 2015; Aryoyudanta et al., 2016), medical texts … We used our own manually annotated datasets collected from users using our chatbot service …

Towards a Taxonomy for Data-Driven Digital Services
A Rizk, B Bergvall-Kåreborn… – … of the 51st …, 2018 – scholarspace.manoa.hawaii.edu
… For example, more than 34,000 chat bots are now active through Facebook Messenger [45], each acting as … C. Bizer, G. Kobilarov, J. Lehmann, R. Cyganiak, and Z. Ives, “Dbpedia: A nucleus … [45] C. O’Brien, “Facebook Messenger chief says platform’s 34,000 chatbots are finally …

NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager
I Yusupov, Y Kuratov – Proceedings of the 27th International Conference …, 2018 – aclweb.org
… This is not an optimal way of evaluating chatbots either, because a relevant answer can be different from an oracle (Liu et al., 2016) … A high quality conversa- tion about the facts in text requires using knowledge bases like DBpedia … 2017. A deep reinforcement learning chatbot …

Digital History meets Microblogging: Analyzing Collective Memories in Twitter.
Y Sumikawa, A Jatowt, M Düring – JCDL, 2018 – dl.kuis.kyoto-u.ac.jp
… Page 2. Automatic content creation, especially, in the form of conversing history-focused chatbots could be another appealing idea … To thoroughly investigate entities and their types, we next auto- matically map all the entities into DBpedia [3] to obtain their type assignments …

Emory IrisBot: An Open-Domain Conversational Bot for Personalized Information Access
A Ahmadvand, IJ Choi, H Sahijwani, J Schmidt, M Sun… – m.media-amazon.com
… External features such as cosine-similarity and LDA and LSI features had been used as unsupervised features [22][6]. DBpedia entities were … t find a good enough response, we had a general catch-all Chat component, which was based on the ALICE chatbot, implemented in …

Neurally-Guided Semantic Navigation in Knowledge Graph
L He, B Shao, Y Xiao, Y Li, TY Liu… – IEEE Transactions on …, 2018 – ieeexplore.ieee.org
… question answering, e-Education, ChatBot. Recent years have witnessed the emergence of many knowledge graphs either built by human experts such as CYC [16] and Free- base [6] or built by the automatic extraction from text corpus such as WordNet [19], and DBpedia [1], [5 …

Knowledge-aware Multimodal Dialogue Systems
L Liao, Y Ma, X He, R Hong, T Chua – 2018 ACM Multimedia Conference …, 2018 – dl.acm.org
… Also known as chat bots, the non-task- oriented systems converse with human typically on open domains to provide reasonable responses and … The knowledge can either be from external knowledge bases such as WordNet[25], DBPedia[3] or NELL[26], or from unstructured …

Multi-channel Conversational Agent for Personalized Music Recommendations
M Morisio, G Verazzo – webthesis.biblio.polito.it
… In detail, the application developed is a multi-platform chat- bot, named Beat in a Bot … In conclusion, the state of art is that we can build knowledge into chatbot that they can … Build- ing better chatbots will necessitate knowledge engineering and research into how agents can better …

IT Support for Knowledge Processes in Digital Social Collaboration
R Peinl – Knowledge Management in Digital Change, 2018 – Springer
… Both content analytics and chatbots will benefit from machine learning in the future by eg retrieving images based on recognized contents or better text understanding in context … (2009). DBpedia – A crystallization point for the web of data …

Alquist: The alexa prize socialbot
J Pichl, P Marek, J Konrád, M Matulík… – arXiv preprint arXiv …, 2018 – arxiv.org
… 2 Related Work The early conversational systems primarily used a pattern matching approach. Eliza [2] is one of the most famous chat-bots from that era … Firstly we include the Freebase ID in the database and thus eliminate a SPARQL query to DBpedia [21] to retrieve it …

Improving Dialog Systems Using Knowledge Graph Embeddings
B Carignan – 2018 – curve.carleton.ca
… 5 Page 18. CHAPTER 2. BACKGROUND 6 2.1.2 Early Chatbots ELIZA [11] is an early chatbot program which uses a series of scripts to process user inputs and output pre-set responses. To minimize the need for real world knowledge …

Leolani: a reference machine with a theory of mind for social communication
P Vossen, S Baez, L Bajc?eti?… – … Conference on Text …, 2018 – Springer
… The same can be said about multimodal dialogue systems [26], and more recently, around chatbot systems using neural networks [20] … Furthermore, the brain is able to query factual services like Wolfram Alpha, and LOD resources like DBpedia and GeoNames …

Natural Language Data Management and Interfaces
Y Li, D Rafiei – Synthesis Lectures on Data Management, 2018 – morganclaypool.com
Page 1. Natural Language Data Management and Interfaces Yunyao Li Davood Rafiei L I • R AFIE I N A T UR AL L ANGU A GE D A T A MAN A GE ME N T AND IN T E R F A CE SM O R GAN & CL A YPOO L HV Jagadish, Series Editor Page 2. Page 3. Natural Language …

Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize
C Khatri, B Hedayatnia, A Venkatesh, J Nunn… – arXiv preprint arXiv …, 2018 – arxiv.org
… entities. They leveraged open data sources such as DBPedia, Wikidata, Reddit, Twitter and IMDB … utterance. Iris also trained an entity classifier, using DBpedia (Auer et al., 2007) entities as their dataset and a convolutional neural network …

Explicit Interaction Model towards Text Classification
C Du, Z Chin, F Feng, L Zhu, T Gan, L Nie – arXiv preprint arXiv …, 2018 – arxiv.org
… Interaction Layer Interaction mechanism is widely used in tasks of matching source and target textual contents, such as natural language inference (Wang and Jiang 2016b) and retrieve-based chat- bot (Wu et al. 2017) … DBPedia 14 55 560,000 70,000 Ontology Extraction …

Remembering and forgetting for personal preservation
H Maus, C Jilek, S Schwarz – Personal Multimedia Preservation, 2018 – Springer
… talking to the PIMO via a chatbot are undertaken such as searching the PIMO for things or let the chatbot explain a … Users are able to view information on entities including information from external sources (here, Taksim Square entry from DBpedia—originating from Wikipedia …

New Paradigms and Big Disruptive Things
M Oppitz, P Tomsu – Inventing the Cloud Century, 2018 – Springer
… The data comes from data sources like DBpedia, Wordnet, Yago, Cyc, Freebase, Wikipedia, IMDb, World Book Encyclopedia, the Bible and other sorts of taxonomies and ontologies. The text data base also contained articles from Newswire and the New York Times …

DOREMUS: A graph of linked musical works
M Achichi, P Lisena, K Todorov, R Troncy… – International Semantic …, 2018 – Springer
… More precisely, interesting paths in the DBpedia knowledge base between POIs and composer are sought and shown to the end user in order to explain the recommendation. We also develop a chatbot that is capable of answering trivia questions in classical music. 11 …

Response selection from unstructured documents for human-computer conversation systems
Z Yan, N Duan, J Bao, P Chen, M Zhou, Z Li – Knowledge-Based Systems, 2018 – Elsevier
… We conduct comprehensive experiments on both real human-machine conversation scenarios and sentence selection benchmarks. Side-by-side evaluation between DocChat and a famous chatbot demonstrates that DocChat performs better on domain related queries …

Intelligent Information and Database Systems: 10th Asian Conference, ACIIDS 2018, Dong Hoi City, Vietnam, March 19-21, 2018, Proceedings
NT Nguyen, DH Hoang, TP Hong, H Pham, B Trawi?ski – 2018 – books.google.com
Page 1. Ngoc Thanh Nguyen · Duong Hung Hoang Tzung-Pei Hong · Hoang Pham Bogdan Trawin´ski (Eds.) Intelligent Information and Database Systems 10th Asian Conference, ACIIDS 2018 Dong Hoi City, Vietnam, March 19–21, 2018 Proceedings, Part I 123 Page 2 …

Improving Discovery of Open Civic Data
S Lafia, A Turner, W Kuhn – 10th International Conference on …, 2018 – drops.dagstuhl.de
… Geonames and DBPedia were also investigated, but have not yet been implemented; concepts from these sources may be included in … perform simple searches through their web browser or mobile device, or request information through new digital media chatbots on Facebook …

Software Architectures for Human-Machine Interaction Using Natural Language
G Tirone, CHMOPE ARDIZZONE, CHMOPA CHELLA… – 2018 – iris.unipa.it
… allow linking a tweet’s informal text to the ontology describing the knowledge domain. DBPedia has been used in this respect. Such processes consider the particular structure of a tweet (mentions, hashtags, and partially structured statements) and the nature of the NEEL task …

A study on the impact of domain knowledge incorporation
E Piret – 2018 – lib.ugent.be
… This tremendous amount of data is often publicly available through knowledge bases such as DBpedia … ternal knowledge via DBpedia: (1) a straightforward initial approach, (2) a word-similarity based pruning method and (3) a concept-similarity based pruning method …

Transforming the IT Services Lifecycle with AI Technologies
K Kloeckner, J Davis, NC Fuller, G Lanfranchi, S Pappe… – 2018 – Springer
Page 1. 123 SPRINGER BRIEFS IN COMPUTER SCIENCE Kristof Kloeckner · John Davis · Nicholas C. Fuller Giovanni Lanfranchi · Stefan Pappe Amit Paradkar · Larisa Shwartz Maheswaran Surendra · Dorothea Wiesmann Transforming the IT Services Lifecycle with AI …

Identity Management in Knowledge Graphs
J Raad – 2018 – hal.archives-ouvertes.fr
… range of graphs surging from academic research, community-driven efforts, and in- dustrial projects, such as DBpedia1, Wikidata2 … neces- sary for enabling and enhancing various knowledge-based applications, such as semantic searches, intelligent chatbots, fraud detections …

Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications
R Arumugam, R Shanmugamani – 2018 – books.google.com
… State-of-the-art abstractive text summarization Summary Chapter The Question-Answering 9: Question-Answering task and Chatbots Using Memory … memory networks for dialog modeling Dialog datasets The bAbI dialog dataset Raw data format Writing a chatbot in TensorFlow …

International FrameNet Workshop 2018
TT Torrent, L Borin, CF Baker – 2018 – lrec-conf.org
Page 1. LREC 2018 Workshop International FrameNet Workshop 2018 Multilingual Framenets and Constructicons PROCEEDINGS Edited by Tiago Timponi Torrent, Lars Borin and Collin F. Baker ISBN: 979-10-95546-04-7 EAN: 9791095546047 12 May 2018 Page 2 …

Extracting and Learning Semantics from Social Web Data
T Niebler – opus.bibliothek.uni-wuerzburg.de
Page 1. Thomas Niebler Extracting and Learning Semantics from Social Web Data Dissertation zur Erlangung des akademischen Grades eines Dok- tors der Naturwissenschaften (Dr. rer. nat.) in der Fakultät für Mathematik …

Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base
D Guo, D Tang, N Duan, M Zhou, J Yin – Advances in Neural …, 2018 – papers.nips.cc
… R2:Wharton School of the University of Pennsylvania Q3: What year was it established? R4: 1636 Q4: How about Harvard university? Freebase DBpedia YAGO NELL OpenIE/ReVerb Figure 1: An example illustrating the task of conversational question answering …

R-VQA: learning visual relation facts with semantic attention for visual question answering
P Lu, L Ji, W Zhang, N Duan, M Zhou… – Proceedings of the 24th …, 2018 – dl.acm.org
Page 1. R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering Pan Lu? Dept. of Computer Science Tsinghua University lupantech@gmail.com Lei Ji1,2 Microsoft Research Asia1, Institute …

Temporality-enhanced knowledgememory network for factoid question answering
X Duan, S Tang, S Zhang, Y Zhang, Z Zhao… – Frontiers of Information …, 2018 – Springer
… Many studies have exploited the use of these knowledge bases (eg, DBPedia and FreeBase) to improve the performance of their models in many NLP tasks (Nakashole and Mitchell, 2015; Wei et al., 2017; Yang and Mitchell, 2017) …

Interactive Question Answering Using Frame-Based Knowledge Representation
EG Boroujerdi – 2018 – yorkspace.library.yorku.ca
… (such as the GeoQuery database of questions on US Geography [64]), or a database of simple relations (for example, triple stores like Freebase [9] or DBpedia [2]). The … Dialogue systems (DS) and chatbots enable computer programs and applications to …

Applied Text Analysis with Python: Enabling Language-aware Data Products with Machine Learning
B Bengfort, R Bilbro, T Ojeda – 2018 – books.google.com
… Applications such as machine translation, question-and-answer systems, voice transcription, text summarization, and chatbots are becoming an integral part of our computing lives … The Slack chatbot provides contextual automatic interaction …

Automatic Table Extension with Open Data
B Kleppmann – 2018 – arrow.dit.ie
… “As of 2006, the large search companies are performing several efforts to integrate data from the mul- titude of data sources available on the web” (Halevy, Rajaraman & Ordille, 2006). Other examples are question answering systems – such as Watson or chatbots. Ques …

FindZebra-using machine learning to aid diagnosis of rare diseases
DT Svenstrup – 2018 – orbit.dtu.dk
Page 1. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise …

A New Model for Evaluating Range-Based Anomaly Detection Algorithms
N Tatbul, TJ Lee, S Zdonik, J Gottschlich, A Valada… – CoRR, 2018 – arxiv.org

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