Freebase & Dialog Systems 2017


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100 Best AI & NLP Resources: RDFDBpedia & Dialog Systems | DeepDive | EntityCubeRDFizers | YAGO-QAYAGO2


Question selection based on expected utility to acquire information through dialogue
K Komatani, T Otsuka, S Sato, M Nakano – Dialogues with Social Robots, 2017 – Springer
… As future work, we will implement a dialogue system that incorporates the proposed method and conduct a user study to investigate how the … 1. Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human …

Integrated learning of dialog strategies and semantic parsing
A Padmakumar, J Thomason, RJ Mooney – … of the 15th Conference of the …, 2017 – aclweb.org
… Raymond J. Mooney Abstract Natural language understanding and dia- log management are two integral compo- nents of interactive dialog systems … 1 Introduction Natural language understanding and dialog man- agement are two integral components of a dialog system …

Dialog for language to code
S Chaurasia, RJ Mooney – Proceedings of the Eighth International Joint …, 2017 – aclweb.org
… On one hand, this helped the dialog system avoid getting stuck in an impasse when it assigns an incorrect value to a slot with high confidence without con- firmation … J. Berant, A. Chou, R. Frostig, and P. Liang. 2013. Semantic parsing on Freebase from question-answer pairs …

Alquist: An Open-Domain Dialogue System
J Pichl – radio.feld.cvut.cz
… 59–66. [10] Williams, JD; Young, S. Partially observable Markov decision pro- cesses for spoken dialog systems. Computer Speech & Language, vol- ume 21, no. 2, 2007: pp. 393–422 … Freebase: a collaboratively created graph database for structuring human knowledge …

LD-SDS: Towards an Expressive Spoken Dialogue System based on Linked-Data
A Papangelis, P Papadakos, M Kotti… – arXiv preprint arXiv …, 2017 – arxiv.org
… automatically, using about fifteen proba- bilistic rules; Olympus is a complete framework for imple- menting spoken dialogue systems (SDS) [4 … with large knowledge graphs that combine in- dependent domain-specific databases with other knowledge bases (eg Freebase) [1, 11 …

Learning Generative End-to-end Dialog Systems with Knowledge
T Zhao – 2017 – cs.cmu.edu
… Page 2. November 21, 2017 DRAFT Keywords: dialog systems, end-to-end models, deep learning, reinforcement learn- ing, generative models, transfer learning, zero-shot learning Page 3 … Page 17. November 21, 2017 DRAFT Chapter 2 Related Work 2.1 Dialog Systems …

Hierarchical Module Classification in Mixed-initiative Conversational Agent System
SXY Suzanna, LL Anthony – Proceedings of the 2017 ACM on …, 2017 – dl.acm.org
… Our operational context is practical task-oriented dialog systems that interacts with real world users … Structured Knowl- edge Bases (KBs) such as Freebase (Bollacker et al., 2008), DBPedia, or in-house organisational knowledge are rich sources of structured knowledge that can …

The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR)
L Dietz, C Xiong, E Meij – Proceedings of the 40th International ACM …, 2017 – dl.acm.org
… Examples are utilizing the knowledge graph to improve document retrieval, question answer- ing, factoid search, dialogue systems, event tracking, and … Knowledge graphs are either semi-manually con- structed (Cyc [16], Freebase [4]) or machine-generated, for exam- ple using …

Using Knowledge Graph And Search Query Click Logs in Statistical Language Model For Speech Recognition
W Zhu – Proc. Interspeech 2017, 2017 – isca-speech.org
… there are other free knowledge graph products with open access, like Freebase [22 … ing relationships between named entities to improve speech recog- nition in dialog systems,” in Spoken … K. Bollacker, C. Evans, P. Paritosh, T. Sturge, and J. Taylor, “Free- base: a collaboratively …

The technology behind personal digital assistants: an overview of the system architecture and key components
R Sarikaya – IEEE Signal Processing Magazine, 2017 – ieeexplore.ieee.org
Page 1. 67 IEEE SIgnal ProcESSIng MagazInE | January 2017 | 1053-5888/17©2017IEEE e have long envisioned that one day computers will understand natural language and anticipate what we need, when and where we need it, and proactively complete tasks on our behalf …

ParlAI: A Dialog Research Software Platform
AH Miller, W Feng, A Fisch, J Lu, D Batra… – arXiv preprint arXiv …, 2017 – arxiv.org
… 2013. Semantic parsing on freebase from question- answer pairs. In EMNLP. volume 2, page 6. Antoine Bordes and Jason Weston … 2015. The ubuntu dialogue corpus: A large dataset for re- search in unstructured multi-turn dialogue systems. arXiv preprint arXiv:1506.08909 …

How Would You Say It? Eliciting Lexically Diverse Dialogue for Supervised Semantic Parsing
A Ravichander, T Manzini, M Grabmair… – Proceedings of the 18th …, 2017 – aclweb.org
… We hope this starts the conversa- tion and inspires further research in finding better ways of introducing lexical diversity. 6 Related Work Semantic parsing has been used in dialog systems with significant success.(Zhu et al., 2014; Pad- makumar et al., 2017; Engel, 2006) …

Towards a Knowledge Graph based Speech Interface
AJ Kumar, S Auer, C Schmidt – arXiv preprint arXiv:1705.09222, 2017 – arxiv.org
… Recognising entities is an important factor in applications such as question answering and spoken dialog systems. Most … kind. In [13] the information about entities encoded in FreeBase notable types is used for relation extraction …

Feature Inference Based on Label Propagation on Wikidata Graph for DST
Y Murase, K Yoshino, M Mizukami, S Nakamura – woolon.org
… P., Tim S., Jamie T.: Freebase: a collaboratively created graph database for structuring human knowledge. In: Proc. ACM SIGMOD, 1247-1250, (2008) 9. Lu W., Larry H., and Dilek HT: Leveraging semantic web search and browse sessions for multi-turn spoken dialog systems …

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, 2017 – Elsevier
This paper studies response selection for human-computer conversation systems. Existing retrieval-based human-computer conversation systems are intended to repl.

Action Planning based on Open Knowledge Graphs and LOD
S Koide, F Kato, H Takeda12, Y Ochiai, K Ueda – ceur-ws.org
… Yet there is no linking data among large linked datasets such as DBpedia, Freebase, and OpenCyc from the viewpoint of LOD applications, although … Here the command ‘eliza’ is named for just representing a mimic of Eliza dialog system [15], that is the first dialog system in AI …

Creating training corpora for nlg micro-planning
C Gardent, A Shimorina, S Narayan… – 55th annual meeting of …, 2017 – hal.inria.fr
Page 1. HAL Id: hal-01623744 https://hal.inria.fr/hal-01623744 Submitted on 25 Oct 2017 HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not …

How Would You Say It? Eliciting Lexically Diverse Data For Supervised Semantic Parsing
A Ravichander, T Manzini, M Grabmair, G Neubig… – nzini.com
… We hope this starts the conversa- tion and inspires further research in finding better ways of introducing lexical diversity. 6 Related Work Semantic parsing has been used in dialog systems with significant success.(Zhu et al., 2014; Pad- makumar et al., 2017; Engel, 2006) …

Generating natural answers by incorporating copying and retrieving mechanisms in sequence-to-sequence learning
S He, C Liu, K Liu, J Zhao – Proceedings of the 55th Annual Meeting of …, 2017 – aclweb.org
Page 1. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, pages 199–208 Vancouver, Canada, July 30 – August 4, 2017. c 2017 Association for Computational Linguistics https://doi.org/10.18653/v1/P17-1019 …

Concept Transfer Learning for Adaptive Language Understanding
S Zhu, K Yu – arXiv preprint arXiv:1706.00927, 2017 – arxiv.org
… to cope with changing domains and lim- ited training data is of particular interest for the deployment of commercial dialogue system … About the open-domain LU, Chen and Rudnicky (2014) used structured knowledge resources (eg Freebase, Wikipedia, FrameNet) to induce …

Hybrid Deep Open-Domain Question Answering
A Aghaebrahimian – ufal.mff.cuni.cz
… dia- logue systems (Weston et al., 2016) and recently, end-to-end DNNs have shown great performance in dialogue systems … Because “Brad Pitt” node in Freebase graph has no value for “parenthood” property … Knowledge graph which is a copy of Free- base (Bollacker et al …

Grounding language by continuous observation of instruction following
T Han, D Schlangen – Proceedings of the 15th Conference of the …, 2017 – aclweb.org
… Grounding Language by Continuous Observation of Instruction Following Ting Han and David Schlangen CITEC, Dialogue Systems Group, Bielefeld University first.last@uni-bielefeld.de Abstract … 2013. Semantic parsing on freebase from question-answer pairs …

Ask Me Otherwise: Synonym-Based Memory Networks for Reading Comprehension
B Srivatsan – bharathsrivatsan.com
… Bordes et al. [15] achieve “excellent performance” using memory networks trained on Freebase (a massive knowledgebase) to answer SimpleQuestions3, and are even able to perform well on the Reverb question set without retraining their model …

BUILDING GENERALIZE QA SYSTEM, SLR
M Zoaib, H Raza, H Shabbir, M Suleman, HA Asghar – researchgate.net
Page 1. BUILDING GENERALIZE QA SYSTEM, SLR Mohammad Zoaib Department of Computer Science FAST – NUCES, Karachi, Pakistan Email: k132290@nu.edu. pk Humdiya Raza Department of Computer Science FAST …

Parsing natural language conversations using contextual cues
S Srivastava, A Azaria, T Mitchell – Proceedings of the 26th …, 2017 – azariaa.com
… On the other hand, a notable application area that has ex- plored conversational context within highly specific settings is state tracking in dialog systems … Semantic parsing on freebase from question- answer pairs. In EMNLP, volume 2, page 6, 2013 …

Large-Scale Simple Question Generation by Template-Based Seq2seq Learning
T Liu, B Wei, B Chang, Z Sui – National CCF Conference on Natural …, 2017 – Springer
… arXiv preprint arXiv:1409.0473 (2014). 3. Bollacker, KD, Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively … M., Mrksic, N., Su, P.-H., Vandyke, D., Young, S.: Semantically conditioned LSTM-based natural language generation for spoken dialogue systems …

Natural language understanding and communication for human-robot collaboration
MI Bloch – ipvs.informatik.uni-stuttgart.de
… work [Red+16], they outperform CCG based approaches by converting dependency structures to logical forms for querying Freebase. 27 … Considering autonomously working robots with planning abilities, a dialog system makes these robots to co-workers instead of subordinates …

Iris: A Conversational Agent for Complex Tasks
E Fast, B Chen, J Mendelsohn, J Bassen… – arXiv preprint arXiv …, 2017 – arxiv.org
… provided by its conversational type system. To our knowledge, Iris is the first dialogue system to enable the gen- eral combination of such commands through conversation. SCENARIO To motivate how combining commands …

Two-stage approach to named entity recognition using Wikipedia and DBpedia
S Ryu, H Yu, GG Lee – Proceedings of the 11th International Conference …, 2017 – dl.acm.org
… Many natural language-based systems such as dialog systems, question answering, and in- formation retrieval use NER to represent important infor- mation in sentences; as a result, NER has … Question answering over Freebase with multi-column convolutional neural networks …

Recent trends in deep learning based natural language processing
T Young, D Hazarika, S Poria, E Cambria – arXiv preprint arXiv …, 2017 – arxiv.org
… White, 2014). NLP enables computers to perform a wide range of natural language related tasks at all levels, ranging from parsing and part-of-speech (POS) tagging, to machine translation and dialog systems. Deep learning …

Grounding proposition stores for question answering over linked data
B Cabaleiro, A Peñas, S Manandhar – Knowledge-Based Systems, 2017 – Elsevier
… behaviour [11], conversations from dialog systems [12], schema matching [13], questions [5] and question-answer pairs [14–18]. GraphParser [6] is a method for distant supervision that hypothesizes that a natural language predicate found in a text expresses a Freebase property …

Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs
B Kotnis, V Nastase – arXiv preprint arXiv:1708.06816, 2017 – arxiv.org
… 1 INTRODUCTION Representing knowledge efficiently is crucial for AI tasks such as question answering and natural language dialogue systems … of large knowledge graphs that contain millions of entities and facts include NELL (Carlson et al., 2010), Freebase (Bollacker et al …

Distinguishing between facts and opinions for sentiment analysis: Survey and challenges
I Chaturvedi, E Cambria, RE Welsch, F Herrera – Information Fusion, 2017 – Elsevier
… leading to many exciting open challenges, as well as in the business world, due to the remarkable benefits to be had from financial [29] and political [30] forecasting, e-health [31] and e-tourism [32], human communication comprehension [33] and dialogue systems [34], etc …

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
R Barzilay, MY Kan – Proceedings of the 55th Annual Meeting of the …, 2017 – aclweb.org
Page 1. ACL 2017 The 55th Annual Meeting of the Association for Computational Linguistics Proceedings of the Conference, Vol. 1 (Long Papers) July 30 – August 4, 2017 Vancouver, Canada Page 2. Platinum Sponsors: Gold Sponsors: ii Page 3. Silver Sponsors …

Object-oriented Neural Programming (OONP) for Document Understanding
Z Lu, H Cui, X Liu, Y Yan, D Zheng – arXiv preprint arXiv:1709.08853, 2017 – arxiv.org
… It is inspired by [Daumé III et al., 2009] on modeling parsing as a decision process, and also state-tracking models in dialogue system [Henderson et al., 2014] for the mixture of symbolic and probabilis- tic representations of dialogue state …

What no robot has seen before—Probabilistic interpretation of natural-language object descriptions
D Nyga, M Picklum, M Beetz – Robotics and Automation (ICRA) …, 2017 – ieeexplore.ieee.org
… up articles about cups in online sources like Wikipedia or ask a human instructor for a definition by means of a dialog system similarly to [1]. The definition is then analyzed for perceptual attributes that typically compose a cup, such as that it is a relatively small container which …

Hyponym/hypernym detection in science and technology thesauri from bibliographic datasets
T Kawaumra, M Sekine… – … Computing (ICSC), 2017 …, 2017 – ieeexplore.ieee.org
… These word vectors are applicable to thesaurus maintenance rather than thesaurus construction. Celikyilmaz et al. proposed a combinatorial approach with inputs of manually structured relations between terms, retrieved from Freebase and textual documents [19] …

Building Natural Language Interfaces to Web APIs
Y Su, AH Awadallah, M Khabsa, P Pantel… – Proceedings of the …, 2017 – dl.acm.org
Page 1. Building Natural Language Interfaces to Web APIs Yu Su1, Ahmed Hassan Awadallah2, Madian Khabsa2 Patrick Pantel2, Michael Gamon2, Mark Encarnacion2 1University of California, Santa Barbara, 2Microsoft Research …

Naturalizing a programming language via interactive learning
SI Wang, S Ginn, P Liang, CD Manning – arXiv preprint arXiv:1704.06956, 2017 – arxiv.org
Page 1. Naturalizing a Programming Language via Interactive Learning Sida I. Wang, Samuel Ginn, Percy Liang, Christopher D. Manning Computer Science Department Stanford University {sidaw, samginn, pliang, manning}@cs.stanford.edu Abstract …

Natural Language Inference with External Knowledge
Q Chen, X Zhu, ZH Ling, D Inkpen – arXiv preprint arXiv:1711.04289, 2017 – arxiv.org
… 2016), and dialogue system (Chen et al., 2016 … this paper, we propose to use relation features to describe relationship between the words in any word pair, which can be easily obtained from various knowledge graphs, such as WordNet (Miller, 1995), and Freebase (Bollacker et …

Learning an Executable Neural Semantic Parser
J Cheng, S Reddy, V Saraswat, M Lapata – arXiv preprint arXiv …, 2017 – arxiv.org
… and is executed against the Freebase knowledge base to return the answer 2. In recent years, semantic parsing has attracted a great deal of attention due to its utility in a wide range of applications such as question answer- ing (Kwiatkowskietal …

Dataset for a Neural Natural Language Interface for Databases (NNLIDB)
F Brad, R Iacob, I Hosu, T Rebedea – arXiv preprint arXiv:1707.03172, 2017 – arxiv.org
… Natural language interfaces for databases have been studied for decades. Early solutions proposed us- ing dictionaries, grammars and dialogue systems for guiding the user articulate the query in natural lan- guage on a step by step basis [Codd, 1974, Hendrix et al., 1978] …

Painting Pictures with Words-From Theory to System
R Coyne – 2017 – search.proquest.com
… PAR allows instructions such as if you agree to go for a walk with someone, then follow them to be given and then triggered in the future. Ulysse [Godreaux et al., 1999] is an interactive spoken dialog system used to navigate in virtual worlds …

Variational Reasoning for Question Answering with Knowledge Graph
Y Zhang, H Dai, Z Kozareva, AJ Smola… – arXiv preprint arXiv …, 2017 – arxiv.org
… Artificial Intelligence. Thanks to the creation of large-scale knowledge graphs such as DBPedia [1] and Freebase [2], QA systems can be armed with well-structured knowledge on specific and open domains. Many traditional …

Detecting Hypernym/Hyponym in Science and Technology Thesaurus Using Entropy-Based Clustering of Word Vectors
T Kawamura, M Sekine, K Matsumura – International Journal of …, 2017 – World Scientific
… These word vectors are applicable to thesaurus mainte- nance rather than thesaurus construction. Celikyilmaz et al. proposed a combinatorial approach with inputs of manually structured relations between terms, retrieved from Freebase and textual documents [22] …

Integrating extra knowledge into word embedding models for biomedical nlp tasks
Y Ling, Y An, M Liu, SA Hasan, Y Fan… – … 2017 International Joint …, 2017 – ieeexplore.ieee.org
… A triple is represented as ?subject, predicate, object?. Many large-scale KBs of general or specific domains have been constructed, such as WordNet [21], Yago [22], Freebase[23], DBpedia [24], NELL [25], and UMLS [26]. KBs …

Expanding Common Sense Knowledge Database using Data Mining on Reference Corpus
M Krawczyk – 2017 – eprints.lib.hokudai.ac.jp
… It is already utilized for many applications such as topic-gisting [3], affect- sensing [4], dialog systems [5], daily activities recognition [6], social media analysis [7] and handwrit … Freebase [14], DBPedia [15] and NELL [16]. The most prominent and relevant systems has been …

Towards the Implementation of an Intelligent Software Agent for the Elderly
AHF Dinevari – 2017 – era.library.ualberta.ca
Page 1. Towards the Implementation of an Intelligent Software Agent for the Elderly by Amir Hossein Faghih Dinevari A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science Department of Computing Science University of Alberta …

On Inductive Abilities of Latent Factor Models for Relational Learning
T Trouillon, É Gaussier, CR Dance… – arXiv preprint arXiv …, 2017 – arxiv.org
… for the semantic web, the resource description framework (Cyganiak et al., 2014), various knowledge graphs—also called knowledge bases— have been collaboratively or automatically created in recent years such as DBpedia (Auer et al., 2007), Freebase (Bollacker et al …

Deep Memory Networks for Natural Conversations
??? – 2017 – s-space.snu.ac.kr
… word level one could group inputs (ie, by segmenting them into chunks) and store each chunk in a memory slot. If the memory is huge (eg, consider all of Freebase or Wikipedia) one needs to organize the memories. This can be achieved with the slot choosing function H …

Annotation of semantic roles for the Turkish Proposition Bank
GG ?ahin, E Adal? – Language Resources and Evaluation – Springer
Page 1. ORIGINAL PAPER Annotation of semantic roles for the Turkish Proposition Bank Gözde Gül Sahin1 • Esref Adal?1 © Springer Science+Business Media Dordrecht 2017 Abstract In this work, we report large-scale semantic …

Propositional Knowledge: Acquisition and Application to Syntactic and Semantic Parsing
B Cabaleiro Barciela – 2017 – e-spacio.uned.es
Page 1. Thesis for the Degree of Doctor of Philosophy 2017 Propositional Knowledge: Acquisition and Application to Syntactic and Semantic Parsing Bernardo Cabaleiro Barciela University Master’s Degree in Languages and Computer Systems (National Distance Education …

Design and development of a cognitive assistant for the architecting of earth observing satellites
A Virós Martin – 2017 – upcommons.upc.edu
… the scope of the project, as the system is thought out to answer questions on DBpedia [87] and Freebase [88], two generalist open RDF databases. Another … work on Freebase, with very few documentation on the code except for the …

Tag Recommendation for Short Arabic Text by Using Latent Semantic Analysis of Wikipedia 
YKA Samra, IM Alagha – 2017 – mobt3ath.com
Page 1. Tag Recommendation for Short Arabic Text by Using Latent Semantic Analysis of Wikipedia Yousef K. Abu Samra Supervised By: Dr. Iyad M. Alagha Assistant Professor of Computer Science …

Knowledge Representation and Reasoning with Deep Neural Networks
AR Neelakantan – 2017 – scholarworks.umass.edu
… Recent years has seen the creation of massive knowledge bases (KBs) (Bollacker et al., 2008; Suchanek et al., 2007; Carlson et al., 2010) that are useful in downstream tasks such as question answering and dialogue systems. These KBs contain structured …

Methods and Techniques for Clinical Text Modeling and Analytics
Y Ling – 2017 – search.proquest.com
… 726.1 Selected Relation Types from UMLS MRREL. . . . . 776.2 Selected Freebase Relation Types … The knowledge is acquired from four resources: Morfessor [99], Longman Dictionaries5, WordNet [100], and Freebase [101] …

Dialog for natural language to code
S Chaurasia – 2017 – repositories.lib.utexas.edu
… the generation of fully executable code from their initial description. 1.3 Dialog Systems Another line of research that has recently garnered increasing attention is … Dialog System 3.1 Chapter Overview We propose a text-based dialog system with which users can converse using …

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