Vector Space Model & Dialog Systems 2017


Notes:

Vector space model (or term vector model) is an algebraic model for representing text documents (and any objects, in general) as vectors of identifiers, such as, for example, index terms.

Resources:

Wikipedia:

References:

See also:


Spoken language understanding for a nutrition dialogue system
M Korpusik, J Glass – IEEE/ACM Transactions on Audio …, 2017 – ieeexplore.ieee.org
… C. Distributional Semantics Vector space models of semantics [33] attempt to teach com- puters meanings of words or documents through their relation … of tasks, such as part-of- speech tagging in multiple languages [37], enriching spoken queries in dialogue systems [38], and …

Active learning for example-based dialog systems
T Hiraoka, G Neubig, K Yoshino, T Toda… – Dialogues with Social …, 2017 – Springer
… Speech Commun. (2009)Google Scholar. 5. Xue, X., Jeon, J., Croft, WB: Retrieval models for question and answer archives. In: Proceeding of SIGIR (2008)Google Scholar. 6. Banchs, RE, Li, H.: Iris: a chat-oriented dialogue system based on the vector space model …

Semantic specialisation of distributional word vector spaces using monolingual and cross-lingual constraints
N Mrkši?, I Vuli?, DÓ Séaghdha, I Leviant… – arXiv preprint arXiv …, 2017 – arxiv.org
… in each case outperforming the monolin- gual model. To the best of our knowledge, this is the first work on multilingual training of any compo- nent of a statistical dialogue system. Our results in- dicate that multilingual training …

A knowledge-grounded neural conversation model
M Ghazvininejad, C Brockett, MW Chang… – arXiv preprint arXiv …, 2017 – arxiv.org
… This contrasts with traditional dialog systems, which can easily inject entities and facts into responses using slot- filling, but often at the cost of significant hand- coding, making such systems difficult to scale to new domains or tasks …

Utterance selection using discourse relation filter for chat-oriented dialogue systems
A Otsuka, T Hirano, C Miyazaki, R Higashinaka… – Dialogues with Social …, 2017 – Springer
… Banchs and Li proposed a chat-oriented dialogue system using a vector space model [4]. This system selects an utterance by searching for the most similar utterance in the vector space from a large dialogue database. Bang et al …

Neural personalized response generation as domain adaptation
W Zhang, T Liu, Y Wang, Q Zhu – arXiv preprint arXiv:1701.02073, 2017 – arxiv.org
… dia, in: EMNLP, 2011, pp. 583–593. [47] RE Banchs, H. Li, Iris: a chat-oriented dialogue system based on the vector space model, in: ACL, 2012, pp. 37–42. [48] RE Banchs, Movie-dic: a movie dialogue corpus for research and development, in: ACL, 2012, pp. 203–207. 19 …

Towards an open-domain social dialog system
M Schmidt, J Niehues, A Waibel – Dialogues with Social Robots, 2017 – Springer
… 690–696, Sofia, Bulgaria (August 2013). http://kheafield.com/professional/edinburgh/ estimate_paper.pdf. 6. Banchs, RE, Li, H.: Iris: a chat-oriented dialogue system based on the vector space model. In: Proceedings of the ACL 2012 System Demonstrations, pp. 37–42, ACL ‘ …

Building Task-Oriented Dialogue Systems for Online Shopping.
Z Yan, N Duan, P Chen, M Zhou, J Zhou, Z Li – AAAI, 2017 – aaai.org
Page 1. Building Task-Oriented Dialogue Systems for Online Shopping … Introduction One goal of Dialogue Systems (DS) is to enable commu- nication between human and computer in natural language, instead of complex commands or procedures …

Overview of dialogue breakdown detection challenge 3
R Higashinaka, K Funakoshi, M Inaba… – … of Dialog System …, 2017 – workshop.colips.org
… challenge 3 (DBDC3), which is the third evaluation workshop dedicated to dialogue breakdown detection [1]. The aim of the challenge was to bring together various methods for detecting dialogue breakdown so that the capability of chat- oriented dialogue systems can be …

Towards SamiTalk: a Sami-speaking robot linked to Sami Wikipedia
G Wilcock, N Laxström, J Leinonen, P Smit… – Dialogues with Social …, 2017 – Springer
… A number of major issues in internationalisation and localisation of spoken dialogue systems are discussed by [5], using WikiTalk as an … The Ossian toolkit however, utilizes vector space models to predict the pronunciation, stress and other relevant factors needed to create a …

Morph-fitting: Fine-tuning word vector spaces with simple language-specific rules
I Vuli?, N Mrkši?, R Reichart, DÓ Séaghdha… – arXiv preprint arXiv …, 2017 – arxiv.org
… In the case of distributional vector space models, morphological complexity brings two chal- lenges to the fore … between synonyms and antonyms may have grave implications in down- stream language understanding applications such as spoken dialogue systems: a user …

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 …

Is this a child, a girl or a car? Exploring the contribution of distributional similarity to learning referential word meanings
S Zarrieß, D Schlangen – Proceedings of the 15th Conference of the …, 2017 – aclweb.org
… Sina Zarrieß and David Schlangen Dialogue Systems Group // CITEC // Faculty of Linguistics and Literary Studies Bielefeld University, Germany {sina.zarriess,david.schlangen}@uni-bielefeld. de Abstract … 2010. From frequency to meaning: Vector space models of se- mantics …

Learning conversational systems that interleave task and non-task content
Z Yu, AW Black, AI Rudnicky – arXiv preprint arXiv:1703.00099, 2017 – arxiv.org
… Page 7. References [Banchs and Li, 2012] Rafael E Banchs and Haizhou Li. Iris: a chat-oriented dialogue system based on the vector space model. In Proceedings of the ACL 2012 System Demon- strations, pages 37–42. Association for Computational Linguistics, 2012 …

A Deep Learning approach to modeling competitiveness in spoken conversations
SA Chowdhury, G Riccardi – Acoustics, Speech and Signal …, 2017 – ieeexplore.ieee.org
… the other speaker the cues about the mutual understanding [6]. Over the years speech scientist studied overlaps to im- prove the quality of human-machine dialog systems and the … The features are then transformed into a bag-of-words (ie, bag-of-trigrams) vector space model [21 …

A roadmap for natural language processing research in information systems
D Liu, Y Li, MA Thomas – … of the 50th …, 2017 – hl-128-171-57-22.library.manoa …
… the refinement and application of NLP techniques to solve real-world problems [3], such as creating spoken dialogue systems [4], speech-to … For example, Arazy and Woo [28] attempted to enhance information retrieval by applying standard vector space model to calculate text …

Incorporating loose-structured knowledge into conversation modeling via recall-gate LSTM
Z Xu, B Liu, B Wang, C Sun… – Neural Networks (IJCNN) …, 2017 – ieeexplore.ieee.org
Page 1. Incorporating Loose-Structured Knowledge into Conversation Modeling via Recall-Gate LSTM Zhen Xu ?‡ , Bingquan Liu ? , Baoxun Wang † , Chengjie Sun ? and Xiaolong Wang ? ? School of Computer Science …

RubyStar: A Non-Task-Oriented Mixture Model Dialog System
H Liu, T Lin, H Sun, W Lin, CW Chang, T Zhong… – arXiv preprint arXiv …, 2017 – arxiv.org
… Rafael E Banchs and Haizhou Li. Iris: a chat-oriented dialogue system based on the vector space model. In Proceedings of the ACL 2012 System Demonstrations, pages 37–42. Association for Computational Linguistics, 2012 …

A conversational dialogue manager for the humanoid robot erica
P Milhorat, D Lala, K Inoue, T Zhao… – Proceedings of …, 2017 – sap.ist.i.kyoto-u.ac.jp
… References 1. Banchs, R., Li, H.: IRIS: a chat-oriented dialogue system based on the vector space model. In: Annual Meeting of the Association for Computational Linguistics, July, pp. 37–42 (2012) 2. Bartneck, C., Kulic, D., Croft …

Utterance Retrieval based on Recurrent Surface Text Patterns
GD Duplessis, F Charras, V Letard, AL Ligozat… – … on Information Retrieval, 2017 – Springer
… Technical report, INESC-ID (2013)Google Scholar. 2. Banchs, RE, Li, H.: IRIS: a chat-oriented dialogue system based on the vector space model. In: Proceedings of the ACL 2012 Demonstrations, pp. 37–42 (2012)Google Scholar …

A Comparative Study of Text Preprocessing Techniques for Natural Language Call Routing
R Sergienko, M Shan, A Schmitt – Dialogues with Social Robots, 2017 – Springer
… Topic categorization of user utterances can be also useful for multi-domain spoken dialogue system design [2]. In this work we treat call routing as an example of a natural language understanding application based on text classification. In the vector space model [3] text …

Dialogue Act Sequence Labeling using Hierarchical encoder with CRF
H Kumar, A Agarwal, R Dasgupta, S Joshi… – arXiv preprint arXiv …, 2017 – arxiv.org
… 2014) is in building a natural language dialogue system, where knowing the DAs of the past utterances helps in the prediction of the DA of the current utterance, and thus, limiting the number of candidate utterances to be generated for the current turn …

Obtaining referential word meanings from visual and distributional information: Experiments on object naming
S Zarrieß, D Schlangen – … of 55th annual meeting of the …, 2017 – pub.uni-bielefeld.de
… object naming Sina Zarrieß and David Schlangen Dialogue Systems Group // CITEC // Faculty of Linguistics and Literary Studies Bielefeld University, Germany {sina.zarriess,david.schlangen}@uni-bielefeld.de Abstract We investigate …

Syntax and Semantics Question Analysis Using User Modelling and Relevance Feedback
A Saany, I Syarilla, A Mamat, A Mustapha… – … Journal on Advanced …, 2017 – media.neliti.com
… The analysis utilizes Vector Space Model (VSM) to semantically interpret and correctly converts modifier terms into a quantifiable form … The vector space model is used to represent the user’s NL question and generalize it into the submitted and modified query …

MUSE: Modularizing Unsupervised Sense Embeddings
GH Lee, YN Chen – arXiv preprint arXiv:1704.04601, 2017 – arxiv.org
… 1 Introduction Recently, deep learning methodologies have dom- inated several research areas in natural language processing (NLP), such as machine translation, language understanding, and dialogue systems. However …

Geometry of Compositionality.
H Gong, S Bhat, P Viswanath – AAAI, 2017 – aaai.org
… Salehi, Cook, and Baldwin 2015). Detection of sarcasm and metaphor is of great impor- tance in language processing applications like text analy- sis, dialogue systems and sentiment analysis. Recent works have used extensive …

Bootstrapping Chatbots for Novel Domains
P Babkin, MFM Chowdhury, A Gliozzo… – Workshop at NIPS on …, 2017 – hirzels.com
… While the resulting dialogue system is able to classify user utterances with reasonable accuracy, it only understands a limited vocabulary and forces the user to use stylized language where the input words have to … 3.1 Estimation of Semantic Similarity under Vector Space Model …

CHAD: Chat-Oriented Dialog Systems
A Rudnicky – pdfs.semanticscholar.org
… San Jose, CA (2017). URL http://www. conversationalinteraction.com/ 2. Banchs, RE, Li, H.: IRIS: a chat-oriented dialogue system based on the vector space model. In: Proceedings of the ACL 2012 System Demonstrations, pp. 37–42 …

KILLE: learning grounded language through interaction
S Dobnik, EW de Graaf – FADLI 2017 – pdfs.semanticscholar.org
… 2It is important to emphasise nonetheless that vector space models may provide an important source of back … models imposes complex demands on computational infrastructure in the sense that this involves connecting perceptual sen- sors with dialogue systems and machine …

Emotion Models: A Review
S PS, GS Mahalakshmi – researchgate.net
… Haag, S. Goronzy, P. Schaich, and J. Williams, “ Emotion recognition using bio-sensors: First steps towards an automatic system,” In Tutorial and Research Workshop on affective dialogue systems, pp … [30] PS Sreeja, and GS Mahalaksmi, “Applying vector space model for poetic …

Proceedings of the 2nd Workshop on Representation Learning for NLP
P Blunsom, A Bordes, K Cho, S Cohen, C Dyer… – Proceedings of the 2nd …, 2017 – aclweb.org
… namely RepL4NLP at ACL’16, VSM at NAACL’15 and CVSC at ACL’13/EACL’14/ACL’15, which focused on vector space models of meaning … A Frame Tracking Model for Memory-Enhanced Dialogue Systems Hannes Schulz, Jeremie Zumer, Layla El Asri and Shikhar Sharma …

Utterance Intent Classification of a Spoken Dialogue System with Efficiently Untied Recursive Autoencoders
T Kato, A Nagai, N Noda, R Sumitomo, J Wu… – Proceedings of the 18th …, 2017 – aclweb.org
… Naoki Noda Doshisha University Seiichi Yamamoto Doshisha University Abstract Recursive autoencoders (RAEs) for com- positionality of a vector space model were applied to utterance intent classification of a smartphone-based Japanese-language spoken dialogue system …

A Review of Technologies for Conversational Systems
J Masche, NT Le – … on Computer Science, Applied Mathematics and …, 2017 – Springer
… Artificial Intelligence laboratory, Jozef Stefan Institute, Ljubljana Slovenia (2012)Google Scholar. Branchs, RF, Li, H.: IRIS: a chat-oriented dialogue system based on the vector space model. In: Proceedings of the 50th Annual …

Lifestyle Agent: The Chat-Oriented Dialogue System for Lifestyle Management
H Kawata, K Ookawara, M Muta, S Masuko… – International Conference …, 2017 – Springer
… 1. Welcome to Ministry of Health, Labour and Welfare. http://www.mhlw.go.jp/english/index.html. Accessed 30 Mar 2017. 2. Banchs, RE, Li, H.: IRIS: a chat-oriented dialogue system based on the vector space model. In: Proceedings of the ACL 2012 System Demonstrations …

An Evaluation Method for System Response in Chat-Oriented Dialogue System
H Mori, A Yasuda, M Araki – Dialogues with Social Robots, 2017 – Springer
… Association for Computational Linguistics, Wuhan, China (2014). http://www.aclweb.org/anthology/ W14-6808. 3. Banchs, RE, Li, H.: Iris: a chat-oriented dialogue system based on the vector space model. In: Proceedings of the ACL 2012 System Demonstrations, pp. 37–42 …

Discovering Stylistic Variations in Distributional Vector Space Models via Lexical Paraphrases
X Niu, M Carpuat – Proceedings of the Workshop on Stylistic Variation, 2017 – aclweb.org
… from dialogue systems (Mairesse, 2008) to predicting power differences in social interac- tions (Danescu-Niculescu-Mizil et al., 2012). In this work we aim to determine to what ex- tent such stylistic variations are embedded in the topology of distributional vector space models …

Information Retrieval Models: Trends and Techniques
S Krishnamurthy, V Akila – Web Semantics for Textual and Visual …, 2017 – igi-global.com
… Extended Boolean model. • Vector Space Model [Salton And McGill 1983]. • Probabilistic Model [Robertson 1977]. • Google Page Rank Model [Brin And Page, 1998] … It is mostly adopted in many systems like library OPAC’s, dialog systems and few search engines. Example …

Debbie, the Debate Bot of the Future
G Rakshit, KK Bowden, L Reed, A Misra… – arXiv preprint arXiv …, 2017 – arxiv.org
… 3. Rafael E. Banchs and Haizhou Li. Iris: A chat-oriented dialogue system based on the vector space model. In Proceedings of the ACL 2012 System Demonstrations, ACL ’12, pages 37–42, Stroudsburg, PA, USA, 2012. Association for Computational Linguistics …

Towards Improving the Performance of Chat Oriented Dialogue System
R Jiang, RE Banchs – 2017 – oar.a-star.edu.sg
… www.chatbots.org/images/uploads/research_papers/9491.p df [6] Rafael E. Banchs, Haizhou Li, IRIS: a Chat-oriented Dialogue System based on the Vector Space Model, Proceedings of the 50th Annual Meeting of the ACL, 37-42, Jeju, Republic of Korea, 8-14 July 2012 …

Towards Developing Dialogue Systems with Entertaining Conversations.
HL Trieu, H Iida, NPH Bao, LM Nguyen – ICAART (2), 2017 – researchgate.net
… Iris: a chat-oriented di- alogue system based on the vector space model. In Proceedings of the ACL 2012 System Demonstrations, pages 37–42 … research in com- mercial spoken dialog systems. In International Con- ference on Text, Speech and Dialogue, pages 3–13 …

Predicting Users’ Negative Feedbacks in Multi-Turn Human-Computer Dialogues
X Wang, J Wang, Y Liu, X Wang, Z Wang… – Proceedings of the Eighth …, 2017 – aclweb.org
… wangbaoxun}@trio.ai Abstract User experience is essential for human- computer dialogue systems. However, it is impractical to ask users to provide explicit feedbacks when the agents’ responses dis- please them. Therefore, in …

Dialogue Act Recognition via CRF-Attentive Structured Network
Z Chen, R Yang, Z Zhao, D Cai, X He – arXiv preprint arXiv:1711.05568, 2017 – arxiv.org
… task. Many applications have benefited from the use of automatic dialogue act recognition such as dialogue systems, machine transla- tion, automatic speech recognition, topic identification and talking avatars [21] [24] [14]. One …

Conclusion and Future Work
R Satapathy, E Cambria, A Hussain – … Analysis in the Bio-Medical Domain, 2017 – Springer
… Furthermore, a dialogue system as in [9], can be built for biomedical domain so as to keep patients calm by chatting with them … AffectiveSpace: a vector space model built by means of semantic multi-dimensional scaling (MDS) for reasoning by analogy on affective commonsense …

Designing Humour in Human Computer Interaction (HUMIC 2017)
A Niculescu, A Valitutti, R Banchs – 16th IFIP Conference on Human …, 2017 – hal.inria.fr
… His recent areas of research include Machine Translation, Information Retrieval, Cross-language Information Retrieval, Sentiment Analysis and Dialogue Systems. More specifically, he has been working on the application of vector space models along with linear and non-linear …

Dynamic Tree Based Classification of Web Queries Using B-Tree and Simple Ordinal Classification Algorithm.
L Lakshmi, PB Reddy, CS Bindu – Journal of Digital Information …, 2017 – dline.info
… Some of the current Information Retrieval (IR) systems like Library Online Public Access Catalog (OPAC), dialog system and numerous web … These models use vector space model, and term frequency- inverted document frequency; but using these models, it is very difficult to …

Building Generalize QA System, SLR
M Zoaib, H Raza, H Shabbir, M Suleman, HA Asghar – researchgate.net
… Binkley [67] papers reviews six different information retrieval models: vector space model with cosine similarity, vector space model with weighted sum, latent semantic indexing, query likelihood model with Dirichlet smoothing, query likelihood model with linear smoothing, and …

Dialogue System for Fostering Way of Thinking Based on Physical Theory in Dynamics
T Wada, T Kojiri – Procedia Computer Science, 2017 – Elsevier
… Artificial Intelligence in Education, pp. 409-416 (2009). 7. RE Banchs and H. Li, “IRIS: a Chat-oriented Dialogue System based on the Vector Space Model,” Proceedings of the ACL 2012 System Demonstrations, pp. 37-42 (2012).

Emotion Detection from Text via Ensemble Classification Using Word Embeddings
J Herzig, M Shmueli-Scheuer… – Proceedings of the ACM …, 2017 – dl.acm.org
… 2008. Feeler: Emotion classi cation of text using vector space model. In AISB 2008 Convention Communication, Interaction and Social Intelligence, Vol. 1. 53 … 2014. Bootstrapping Dialog Systems with Word Embeddings. (2014). [11] Yoav Goldberg. 2017 …

Production Ready Chatbots: Generate if not Retrieve
A Tammewar, M Pamecha, C Jain, A Nagvenkar… – arXiv preprint arXiv …, 2017 – arxiv.org
… arXiv preprint arXiv:1409.0473. Banchs, RE, and Li, H. 2012. Iris: a chat-oriented dialogue system based on the vector space model. In Proceedings of the ACL 2012 System Demonstrations, 37–42. Association for Computational Linguistics. Britz, D. 2016 …

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
… Unlike previous work, LCLR [25] applies rich lexical semantic features that obtained from a wide range of linguistic resources including WordNet, the polarity-inducing latent semantic analysis (PILSA) model and different vector space models …

Emotion Recognition by Combining Prosody and Sentiment Analysis for Expressing Reactive Emotion by Humanoid Robot
Y Li, CT Ishi, N Ward, K Inoue… – … of APSIPA Annual …, 2017 – sap.ist.i.kyoto-u.ac.jp
… The results of the neutral condition suggest that the user may feel uncomfortable about most of the current dialog systems which do not take emotion into consideration … [15] NG Ward, SD Werner, F. Garcia, and E. Sanchis, “A prosody-based vector-space model of dialog activity …

On the Construction of more Human-like Chatbots: Affect and Emotion Analysis of Movie Dialogue Data
RE Banchs – 2017 – oar.a-star.edu.sg
… pp. 681–690. [5] Banchs, RE and Li, H. (2012) IRIS: a chat-oriented dialogue system based on the vector space model. In Proc. of the 50th Annual Meeting of the Association for Computational Linguistics (ACL), demo systems …

Improved Candidate Answers Ranking for QA
C Yu, R Zhao, Z Wei – Advanced Cloud and Big Data (CBD) …, 2017 – ieeexplore.ieee.org
… IR system [3], it was then developed into structured documents retrieval system to some special fields [4]including dialog systems, reading comprehension … In order to position the right answer, the vector space model [15] is an important tool to calculate the similarity between the …

Constructing a Natural Language Inference dataset using generative neural networks
J Starc, D Mladeni? – Computer Speech & Language, 2017 – Elsevier
… Some generative models are built to generate a single optimal response given the input. Such models have been applied to machine translation (Sutskever et al., 2014), image caption generation(Xu et al., 2015), or dialog systems (Serban et al., 2016a) …

Ontology based Baysian network for clinical specialty supporting in interactive question answering systems
JF Yeh, YJ Huang, KP Huang – Engineering Computations, 2017 – emeraldinsight.com
… However, it is effort-consuming for medical staff especially in critical times. Therefore, a query system or spoken dialogue system is able to provide better service for the clinical specialty supporting by extracting the semantic information from patients’ utterances …

How Generic Can Dialogue Breakdown Detection Be? The KTH entry to DBDC3
J Lopes – workshop.colips.org
… 404–412. [10] RE Banchs and H. Li, “Iris: a chat-oriented dialogue system based on the vector space model,” in Proceedings of the ACL 2012 System Demonstrations. Association for Computational Linguis- tics, 2012, pp. 37–42 …

Feature Selection for Natural Language Call Routing Based on Self-Adaptive Genetic Algorithm
A Koromyslova, M Semenkina… – IOP Conference Series …, 2017 – iopscience.iop.org
… Topic categorization of users utterances can be also useful for multidomain spoken dialogue system design [12]. In this work we treat call routing as an example of a text classification application. In the vector space model [16] text classification is considered as a machine …

Online Learning for Conversational Agents
V Mendonça, FS Melo, L Coheur… – Portuguese Conference on …, 2017 – Springer
… http://dl.acm.org/citation.cfm?id=2390665.2390716. 4. Banchs, RE, Li, H.: Iris: a chat-oriented dialogue system based on the vector space model. In: Proceedings of ACL 2012 System Demonstrations, ACL 2012, pp. 37–42. Association …

Excavio
A Jankowski – Interactive Granular Computations in Networks and …, 2017 – Springer
… Therefore, in the development of dialog systems and inference systems based on this type of hierarchies, reflecting the ontology of the … Vector Space Model—based on the ideas of Gerard Salton from the SMART system (System for the Mechanical Analysis and Retrieval of Text …

Compositional Sentence Representation from Character within Large Context Text
G Kim, H Lee, B Kim, S Lee – International Conference on Neural …, 2017 – Springer
… In: ACL WS on Continuous Vector Space Models and Their Compositionality, pp. 119–126 (2013)Google Scholar. 15 … Serban, IV, Sordoni, A., Bengio, Y., Courville, A., Pineau, J.: Building end-to-end dialogue systems using generative hierarchical neural network models …

Question Answering System: A Review On Question Analysis, Document Processing, And Answer Extraction Techniques.
FS UTOMO, N SURYANA… – Journal of Theoretical & …, 2017 – search.ebscohost.com
… [67] Identifying and extracting terms (Tokenizer, POS tagger, vector space model), terms expansion using WordNet (Adopt from [101]). User’s question with additional terms [7] … Output : tf (term frequency) for each document Vector space model [82] Keyword-matching technique …

Detecting Egregious Conversations between Customers and Virtual Agents
T Sandbank, M Shmueli-Scheuer, D Konopnicki… – arXiv preprint arXiv …, 2017 – arxiv.org
… measures. Similarly, in (Sebastian et al., 2009) they developed a taxonomy of available measures for an end-user’s quality of experi- ence for multimodel dialogue systems, some of which touch on conversational quality. All …

KWSnet Computer Science Index
KW Smith – 2017 – kwsnet.com
… Dr. Olney’s primary research interests are in cognitive science and the psychology of language. Specific interests include vector space models, dialogue systems, unsupervised grammar induction, robotics, and intelligent tutoring systems …

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 …

Neural Models for Information Retrieval
B Mitra, N Craswell – arXiv preprint arXiv:1705.01509, 2017 – arxiv.org
Page 1. Neural Models for Information Retrieval Bhaskar Mitra Microsoft, UCL? Cambridge, UK bmitra@microsoft.com Nick Craswell Microsoft Bellevue, USA nickcr@microsoft.com Abstract Neural ranking models for information …

Multi-sense based neural machine translation
Z Yang, W Chen, F Wang, B Xu – Neural Networks (IJCNN) …, 2017 – ieeexplore.ieee.org
Page 1. Multi-Sense Based Neural Machine Translation Zhen Yang, Wei Chen[1] , Feng Wang, Bo Xu Institute of Automation, Chinese Academy of Sciences No.95 Zhongguancun East Road {yangzhen2014, wei.chen.media, feng.wang, xubo}@ia.ac.cn …

On Inductive Abilities of Latent Factor Models for Relational Learning
T Trouillon, É Gaussier, CR Dance… – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. On Inductive Abilities of Latent Factor Models for Relational Learning Théo Trouillon theo.trouillon@imag.fr Univ. Grenoble Alpes, 700 avenue Centrale, 38401 Saint Martin d’H`eres, France Éric Gaussier eric.gaussier@imag.fr Univ …

An iterative approach for the global estimation of sentence similarity
T Kajiwara, D Bollegala, Y Yoshida, K Kawarabayashi – PloS one, 2017 – journals.plos.org
… This dataset includes 3,000 sentence pairs from five different domains: news headlines (Head), image descriptions (Img), answer pairs from a tutorial dialogue system (Stud), answer pairs from Q&A websites (QA), and sentence pairs from a committed belief dataset (Bel) …

Modelling semantic context of oov words in large vocabulary continuous speech recognition
I Sheikh, D Fohr, I Illina… – IEEE/ACM Transactions on …, 2017 – ieeexplore.ieee.org
Page 1. 598 IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 25, NO. 3, MARCH 2017 Modelling Semantic Context of OOV Words in Large Vocabulary Continuous Speech Recognition …

Improving Deep Neural Network Based Speech Synthesis through Contextual Feature Parametrization and Multi-Task Learning
Z Wen, K Li, Z Huang, CH Lee, J Tao – Journal of Signal Processing …, 2017 – Springer
… This is inefficient because the co-occurrence of phonemes is represented by a long vector with the neighboring phonemes. Vector space model (VSM) J Sign Process Syst Page 3. was proposed to parameterize the phonemic information as continuous values in [41, 42] …

Sarcasm Identification on Twitter: A Machine Learning Approach
A Onan – Computer Science On-line Conference, 2017 – Springer
… In the vector space model, the frequency of features are taken into consideration to represent text documents … 32(12), 1777–1806 (2000)CrossRefGoogle Scholar. 12. Tepperman, J., Traum, DR, Narayanan, S.: “yeah right”: sarcasm recognition for spoken dialogue systems …

Domain Transfer for Deep Natural Language Generation from Abstract Meaning Representations
N Dethlefs – IEEE Computational Intelligence Magazine, 2017 – ieeexplore.ieee.org
Page 1. 18 IEEE ComputatIonal IntEllIgEnCE magazInE | august 2017 1556-603x/17© 2017IEEE Digital Object Identifier 10.1109/MCI.2017.2708558 Date of publication: 19 July 2017 Abstract—Stochastic natural language generation …

Deep Speech Recognition
L Deng – microsoft.com
Page 1. Deep Speech Recognition New-Generation Models & Methodology for Advancing Speech Technology and Information Processing Li Deng Microsoft Research, Redmond, USA IEEE ChinaSIP Summer School, July 6, 2013 …

KWSnet Robots/Robotics Index
KW Smith – 2017 – kwsnet.com
… Dr. Olney’s primary research interests are in cognitive science and the psychology of language. Specific interests include vector space models, dialogue systems, unsupervised grammar induction, robotics, and intelligent tutoring systems …

Variational Reasoning for Question Answering with Knowledge Graph
Y Zhang, H Dai, Z Kozareva, AJ Smola… – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. Variational Reasoning for Question Answering with Knowledge Graph Yuyu Zhang1? , Hanjun Dai1? , Zornitsa Kozareva2, Alexander J. Smola2, and Le Song1 1College of Computing, Georgia Institute of Technology …

Towards Automatic Generation of Entertaining Dialogues in Chinese Crosstalks
S Du, X Wan, Y Ye – arXiv preprint arXiv:1711.00294, 2017 – arxiv.org
… context utterances in several previous turns of dia- logues. References [Banchs and Li 2012] Banchs, RE, and Li, H. 2012. Iris: a chat-oriented dialogue system based on the vector space model. In ACL, 37–42. ACL. [BinstedandRit

A Self-Adaptive Sliding Window Based Topic Model for Non-uniform Texts
J He, L Li, X Wu – Data Mining (ICDM), 2017 IEEE International …, 2017 – ieeexplore.ieee.org
… (3)Topic mod- eling based on clustering. This type of topic models presents a simple hypothesis that documents which fall in one cluster contain the same topic. Huang et al. [26] adopted a single- pass clustering method with the Vector Space Model (VSM). Zhang et al …

Refining Word Embeddings Using Intensity Scores for Sentiment Analysis
LC Yu, J Wang, KR Lai, X Zhang – researchgate.net
… dimensional sparse vector of word co-occurrence statistics using distributional approaches [2], [3], [4] such as vector space models [5], [6 … that injected both antonymy and synonymy relations into vector representations to improve the capability of dialog systems for distinguishing …

A Conversational Agent for the Improvement of Human Reasoning Skills
L Wartschinski, NT Le, N Pinkwart – Bildungsräume 2017, 2017 – dl.gi.de
… Int. Journal of Artificial Intelligence in Education 15/2, S. 95–115, 2005. [BL12] Banchs, RE; Li, H.: IRIS: a chat-oriented dialogue system based on the vector space model. In: Proceedings of the ACL System Demonstrations, 2012 …

Extracting audio summaries to support effective spoken document search
D Spina, JR Trippas, L Cavedon… – Journal of the …, 2017 – Wiley Online Library
… Documents were preprocessed using the Lucene libraries for tokenization, stopword removal, and stemming (Porter, 1980). We used the Solr default ranking function, which is based on the vector space model (VSM) (Salton, Wong, & Yang, 1975) …

Deep Memory Networks for Natural Conversations
??? – 2017 – s-space.snu.ac.kr
Page 1.

Research on the organization of user needs information in the big data environment
F Ma, Y Chen, Y Zhao – The Electronic Library, 2017 – emeraldinsight.com
… construction of a user model. The technical approach to organizing user needs information is gradually moving to an ontology-based user model from a traditional keyword-based vector space model. The ontology-based user …

Hybrid occupation recommendation for adolescents on interest, profile, and behavior
A Ochirbat, TK Shih, C Chootong, W Sommool… – Telematics and …, 2017 – Elsevier
Skip to main content …

Computational models for semantic textual similarity
A González Aguirre – 2017 – addi.ehu.es
… Thus, un- structured lexical resources such as monolingual and bilingual corpora provide an additional though less organized source for word similarity. A widely used representation of features in a document (or corpus) is the Vector Space Model (VSM) (Salton et al. 1975) …

Deriving and Exploiting Situational Information in Speech: Investigations in a Simulated Search and Rescue Scenario
S Mokaram Ghotoorlar – 2017 – etheses.whiterose.ac.uk
Page 1. Deriving and Exploiting Situational Information in Speech: Investigations in a Simulated Search and Rescue Scenario Saeid Mokaram Department of Computer Science The University of Sheffield PhD Thesis submitted for the degree of Doctor of Philosophy …

–Motivating Individual Difference in an Intelligent Tutoring System
L Reinerman-Jones, E Lameier, E Biddle… – … for Intelligent Tutoring … – gifttutoring.org
Page 339. 331 CHAPTER 29–Motivating Individual Difference in an Intelligent Tutoring System Lauren Reinerman-Jones1, Elizabeth Lameier, 2 Elizabeth Biddle3, and Michael Boyce4 University of Central Florida1, Boeing …

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 …

Emotion Recognition: A Literature Survey
S Goyal, N Tiwari – International Journal For Technological Research In … – ijtre.com
… Goal: artificial intelligence, robotics, psychology blogs, product reviews, CRM and service oriented companies, customer emotion. Applications: automatic answering systems, dialogue systems, and human like robots. Multi- Language Text …

Computational modeling of turn-taking dynamics in spoken conversations
SA Chowdhury – 2017 – eprints-phd.biblio.unitn.it
Page 1. PhD Dissertation International Doctorate School in Information and Communication Technologies DISI – University of Trento COMPUTATIONAL MODELING OF TURN-TAKING DYNAMICS IN SPOKEN CONVERSATIONS Shammur Absar Chowdhury Advisor: Prof …

Helping users learn about social processes while learning from users: developing a positive feedback in social computing
VSS Pillutla – 2017 – search.proquest.com
… 27. 2.14 Document retrieval timeline showing vector space models [137], BM25 [125] … Among these. numerous models, typical ones include variants of the vector space model [39, 135, 136] and probabilistic. models [42, 94, 115, 125] …

Computational Linguistic Creativity: Poetry generation given visual input
M Loller-Andersen – 2017 – brage.bibsys.no
Page 1. Computational Linguistic Creativity: Poetry generation given visual input Malte Loller-Andersen Master of Science in Computer Science Supervisor: Björn Gambäck, IDI Department of Computer Science Submission date: June 2017 …

Motivating CHAPTER 29–Individual Difference in an Intelligent TutoringSystem
L Reinerman-Jones, E Lameier… – … for Intelligent Tutoring …, 2017 – books.google.com
Page 339. Motivating CHAPTER 29–Individual Difference in an Intelligent TutoringSystem Lauren Reinerman-Jones1, Elizabeth Lameier, 2 Elizabeth Biddle3, and Michael Boyce4 University of Central Florida1, Boeing Company2 …

Review on Multiple Classifier System in Pattern Recognition
VV Kamble, RD Kokate – International Conference on …, 2017 – pdfs.semanticscholar.org
… 22 A. Zelaia, I. Alegria, O. Arregi and B. Sierra(2011)[23] Reuters-21578 dataset3 vector space model, singular value decomposition 30 k-NN single classifiers … Enhancement of emotion detection in spoken dialogue systems by combining several information sources …

Knowledge Representation and Reasoning with Deep Neural Networks
AR Neelakantan – 2017 – scholarworks.umass.edu
… 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 … Knowledge base completion using compositional vector space models. Workshop on Automated …

Pervasive Secure Content Delivery Networks Implementation
H Lugo-Cordero – 2017 – stars.library.ucf.edu
Page 1. University of Central Florida Electronic Theses and Dissertations Masters Thesis (Open Access) Pervasive Secure Content Delivery Networks Implementation 2017 Hector Lugo-Cordero University of Central Florida Find similar works at: http://stars.library.ucf.edu/etd …

Dynamic ontology for service robots
S Kanjaruek – 2017 – uobrep.aws.openrepository.com
Page 1. Title : Dynamic ontology for service robots Name : Saranya Kanjaruek This is a digitised version of a dissertation submitted to the University of Bedfordshire. It is available to view only. This item is subject to copyright. Page 2. Dynamic Ontology for Service Robots …

Automatic Text Simplification
H Saggion – Synthesis Lectures on Human Language …, 2017 – morganclaypool.com
… Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 …

Natural Language Processing for Social Media
A Farzindar, D Inkpen – Synthesis Lectures on Human …, 2017 – morganclaypool.com
… Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 …

From Natural Language descriptions to executable scenarios
I Pogrebezky – 2017 – idc.ac.il
Page 1. The Interdisciplinary Center, Herzliya Efi Arazi School of Computer Science M.Sc. program – Research Track From Natural Language descriptions to executable scenarios by Ilia Pogrebezky M.Sc. dissertation, submitted in partial fulfillment of the requirements …

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