Intents, Entities & Dialog Systems 2015


  • Belief tracking
  • Proof tree
  • Slot filling



See also:

100 Best GitHub: Named-Entity RecognitionBDI (Belief-Desire-Intention) & Dialog SystemsDialog Act & Dialog Systems 2015Dialog Act Recognition 2014Dialog Act Recognition 2015Named-Entity Recognition & Dialog Systems 2014Named-Entity Recognition & Dialog Systems 2015 | State Tracking & Dialog Systems 2015

Fast and easy language understanding for dialog systems with Microsoft Language Understanding Intelligent Service (LUIS) JD Williams, E Kamal, HA Mokhtar Ashour… – 16th Annual Meeting of …, 2015 – … This dialog system could recognize intents like StartActivity and StopActivity, and could recognize enti- ties like … to look for new intents or entirely new { ” query”:” start tracking a run”, ” entities”:[ { ” entity”:” run”, ” type”:” ActivityType” } ], ” intents”:[ { ” intent”:” StartActivity”, ” score … Cited by 7 Related articles All 11 versions

Rapidly scaling dialog systems with interactive learning JD Williams, NB Niraula, P Dasigi… – … Dialog Systems and …, 2015 – Springer … may be done jointly—these are the high-level components of personal assistant dialog systems. … New entity extractors are only sometimes needed, because many entity types can be reused for … and delete an appointment from a calendar all share the same entities: times, dates … Cited by 6 Related articles All 11 versions

Knowledge graph inference for spoken dialog systems Y Ma, PA Crook, R Sarikaya… – 2015 IEEE International …, 2015 – … 1. INTRODUCTION Within the field of spoken dialog systems (SDSs) for task ori- entated conversations, the … or slots within a do- main or of the relationships between entities have also … is used to build various conversational and SLU models, eg intent, slot, entity and relation … Cited by 9 Related articles All 6 versions

Detecting Multiple Domains from User’s Utterance in Spoken Dialog System S Ryu, J Song, S Koo, S Kwon, GG Lee – … Language Dialog Systems and …, 2015 – Springer … The method automatically assigns positive and negative labels to utterances based on their previously annotated intents and named entities. … Page 3. 10 Detecting Multiple Domains from User’s Utterance in Spoken Dialog System 103 … Cited by 5 Related articles All 5 versions

Matrix factorization with domain knowledge and behavioral patterns for intent modeling YN Chen, M Sun, AI Rudnicky – … on Machine Learning for SLU and …, 2015 – … Deriving local relational surface forms from dependency-based entity embeddings for unsupervised … distri- butional semantics for unsupervised semantic slot induction in spoken dialogue systems. … Probabilistic enrich- ment of knowledge graph entities for relation detection … Cited by 2 Related articles All 2 versions

Multi-Language Hypotheses Ranking And Domain Tracking for Open Domain Dialogue Systems PA Crook, JP Robichaud… – … Annual Conference of …, 2015 – … main matches the top ranked domain from the previous turn, how many entity tags a … results can be generated for that hypothesis’s combination of domain, intent and tagged entities. … some features are possibly influenced by the language in which the dialogue system is operating … Cited by 2 Related articles All 2 versions

DietTalk: Diet and Health Assistant Based on Spoken Dialog System S Jung, S Ryu, S Han, GG Lee – … Dialog Systems and Intelligent Assistants, 2015 – Springer … Page 5. 11 DietTalk: Diet and Health Assistant Based on Spoken Dialog System 117 … The corpus consists of 559 pairs of user utterance and system utterance. We annotated semantic information including intents (n D 49) and named entities (n D 17) onto each sentence. … Cited by 1 Related articles All 5 versions

[BOOK] Natural Language Processing and Information Systems: 20th International Conference on Applications of Natural Language to Information Systems, NLDB … C Biemann, S Handschuh, A Freitas, F Meziane… – 2015 – … Imran NADIA: A Simplified Approach Towards the Development of Natural Dialogue Systems….. … Rodolfo Delmonte Gathering Knowledge for Question Answering Beyond Named Entities….. 412 Piotr Przyby?a MaNER: A MedicAl Named Entity Recogniser … Cited by 2 Related articles

Hypotheses Ranking and State Tracking for a Multi-Domain Dialog System Using Multiple ASR Alternates OZ Khan, JP Robichaud, P Crook… – … Conference of the …, 2015 – … in constructing a multi-domain dialog system that integrates heterogeneous spoken dialog systems. … Additionally, we also have component that performs slot tagging (entity extraction) using … bigrams, trigrams, regular expressions, dictionaries of domain specific entities) as well … Cited by 2 Related articles All 3 versions

Deep Contextual Language Understanding in Spoken Dialogue Systems C Liu, P Xu, R Sarikaya – Sixteenth Annual Conference of …, 2015 – … an appointment at the first turn yields distinct meanings for the time entities in the … rate and slot filling F1 score comparisons of adding external connections from dialog system response (evaluated … contact name while it should have been tagged as part of the text message entity. … Cited by 3 Related articles All 4 versions

Spoken language understanding in a nutrition dialogue system MB Korpusik – 2015 – Page 1. Spoken Language Understanding in a Nutrition ARCVES Dialogue System by Mandy B. Korpusik … the lack of a specific nutrient. 1.1 Dialogue Systems Spoken dialogue systems like this one have become increasingly prevalent in today’s … Cited by 3 Related articles All 3 versions

Conversational knowledge teaching agent that uses a knowledge base K LEE, PH SEO, J CHOI, S KOO, GG LEE – 16th Annual Meeting of the …, 2015 – … 2 The model of freebase entity embedding is already availa- ble in https … To generate proper system utterance, we obtained the weight between two entities and property … conversational agent for knowledge education more tightly integrated into QA systems and dialog systems. … Cited by 1 Related articles All 9 versions

A comparative study of neural network models for lexical intent classification S Ravuri, A Stoicke – 2015 IEEE Workshop on Automatic …, 2015 – … Utterance classification is an important pre-processing step for many dialog systems that interpret speech … The corpus has 17 different intents, which we mapped to a binary “flight … only the original transcript words, the other—known as “autotagged”—replaces entities by phrase … Cited by 2 Related articles All 4 versions

Task learning through visual demonstration and situated dialogue C Liu, JY Chai, N Shukla, SC Zhu – 2015 – … An And-node represents the configuration of a set of sub-entities to form a … entity; An Or-node represents the set of alter- native compositional configurations of an entity. … Collabora- tive activities and multi-tasking in dialogue systems: Towards natural dialogue with robots. TAL. … Cited by 1 Related articles All 4 versions

A TV Program Discovery Dialog System Using Recommendations D Ramachandran, M Fanty, R Provine, PZ Yeh… – 16th Annual Meeting of …, 2015 – … In this version, we will additionally demonstrate the integration of the dialog system with a recom- mender engine that scores … 3.1 NLU and State Tracking In addition to a Named-Entity Recognizer for find- ing propositional concepts, we have a … 3) over entities from the NER. … Related articles All 9 versions

Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems YN Chen – target, 2015 – … Yang Wang, and Alexander I. Rudnicky, “Leveraging Frame Semantics and Distributional Semantics for Unsupervised Semantic Slot Induction for Spoken Dialogue Systems,” in Proceedings of … The entity- based knowledge bases usually contain a lot of named entities that … Related articles All 10 versions

The Knowledge Web Meets Big Scholars K Wang – Proceedings of the 24th International Conference on …, 2015 – … Similarly, a knowledge web processes user queries in entities and relationships with which the documents passages are assessed for relevance. … ERD’14: entity recognition and disambiguation challenge. … [13] K. Wang. A plan-based dialog system with probabilistic inferences. … Cited by 1 Related articles All 7 versions

Unsupervised Relation Detection using Automatic Alignment of Query Patterns Extracted from Knowledge Graphs and Query Click Logs P Pasupat, D Hakkani-Tür – Sixteenth Annual Conference …, 2015 – … In a dialog system, the spoken language understanding (SLU) module receives transcribed speech queries and … understanding tasks such as acquiring related entities [21], clustering entities into semantic … methods for mining queries that require only one pivot entity instead of … Related articles All 4 versions

Belief Tracking with Stacked Relational Trees D Ramachandran, A Ratnaparkhi – 16th Annual Meeting of the Special …, 2015 – … In our dialog system, REL-Trees are produced by a Relation Extraction component that operates after NER. … In some cases, it adds “virtual” entities to fragmentary utterances when they are not explicit in the text (eg the Play entity in Fig. … Cited by 1 Related articles All 9 versions

Learning for Spoken Dialog Systems with Discriminative Graphical Models Y Ma – 2015 – … A spoken dialog system can never know for certain what the user is saying, it can only make hypotheses. A probabilistic framework for modeling the evolvement of the user’s intent1 during a dialog is presented in this thesis, where the system maintains a … Related articles All 3 versions

Natural Language Processing and Information Systems C Biemann, S Handschuh, A Freitas, F Meziane… – Springer … Imran NADIA: A Simplified Approach Towards the Development of Natural Dialogue Systems….. … Rodolfo Delmonte Gathering Knowledge for Question Answering Beyond Named Entities….. 412 Piotr Przyby?a MaNER: A MedicAl Named Entity Recogniser …

Natural Language Understanding and Prediction Technologies N Duta – … NLU: large semantic space, linguistic variation, recognition errors – The semantic entity distribution is skewed – Semantic entities come from noisy databases – Recognition errors: approximate matching – Hard to come up with a unified confidence measure in mixed systems … Related articles All 2 versions

A proposal for improving spoken dialog systems using context information fusion I Chairi, D Griol, J García… – Information Fusion (Fusion …, 2015 – … after each sensor has made a preliminary determination of an entity’s location, attributes … these functions, and [13] propose a formal structure of domain (entities, attributes, relations … Our approach is the exploitation of context information in spoken dialog system providing railway … Related articles

Personalized speech recognition for Internet of Things M Mehrabani, S Bangalore… – Internet of Things (WF-IoT), …, 2015 – … on what the end-users are expected to say for a specific application (eg, dialog systems). … tags with the generic language model requires additional statistical models for named entity tagging and … Any additional entities related to the intent (except for the device name), such as … Cited by 1 Related articles All 2 versions

Recurrent neural network and LSTM models for lexical utterance classification S Ravuri, A Stolcke – Proc. Interspeech, Dresden, 2015 – … The corpus has 17 different intents, which we mapped to a binary “flight” versus “other … uses only the original transcript words, the other—known as “autotagged”—replaces entities by phrase … Browser” (CB) is a corpus in which two users interact with a dialog system using spoken … Cited by 8 Related articles All 5 versions

An Ergonomics Evaluation to Chatbot Equipped with Knowledge-Rich Mind W Liu, J Zhang, S Feng – Computational and Business …, 2015 – … pieces of a formal representation, such as a limited set of types of entities and a … Question classification is used to classify the question based on the type of its entity. … 5]. Those researches inspire us to apply those theories to the research and implementation of a dialog system. III. … Related articles

Understanding student language: An unsupervised dialogue act classification approach A Ezen-Can, KE Boyer – JEDM-Journal of Educational …, 2015 – … as a research focus within the dialogue systems research community (Ezen-Can and Boyer, … Lee and colleagues used a three-step approach: dialogue act, intent and slot entity recognition ap- plied on spoken language. … sent special entities within the utterances. … Cited by 4 Related articles All 7 versions

A universal model for flexible item selection in conversational dialogs A Celikyilmaz, Z Feizollahi… – … IEEE Workshop on …, 2015 – … Finally entities (slots) are tagged using con- ditional random fields (CRF) [18 … that such uni- versal FIS model should generalize well to such a dialogue system operating in … binary features indicating the presence or absence of a partic- ular entity (slot) value (captured by the SLU … Cited by 1 Related articles All 2 versions

Contextual spoken language understanding using recurrent neural networks Y Shi, K Yao, H Chen, YC Pan… – … on Acoustics, Speech …, 2015 – … SLU) system consists of domain identification, intent classification and slot filling [1]. SLU is a crit- ical component in spoken dialogue systems. … This dataset is about air travel domain with 22 different intents. … The first is the lexicon and the second is the named entity (NE) feature. … Cited by 13 Related articles All 7 versions

Large-Scale Question Answering with Joint Embedding and Proof Tree Decoding Z Wang, S Yan, H Wang, X Huang – … of the 24th ACM International on …, 2015 – … scale structured KBs are critical to modern web search engines such as Bing and Google, spoken language dialog systems such as … 4]), or 41.8 from an ensemble of two best systems ([7]). 2. JOINT EMBEDDING All words and entities can be … The training data are text-entity pairs. … Related articles

A Simultaneous Recognition Framework for the Spoken Language Understanding Module of Intelligent Personal Assistant Software on Smart Phones C Lee, Y Ko, J Seo – Volume 2: Short Papers – … In addition, since the SLU module in the previous dialogue systems has a complicated architecture … phone according to user needs, they require more elaborate user intent analysis. … Named Entity (NE) recognition: NE recogni- tion extracts keywords from user utterances, such as … Cited by 1 Related articles All 10 versions

Using recurrent neural networks for slot filling in spoken language understanding G Mesnil, Y Dauphin, K Yao, Y Bengio… – … on Audio, Speech, …, 2015 – … sentence is provided here, with domain, intent, and slot/concept annotations illustrated, along with typical domain-independent named entities. … York today Slots/Concepts O O O B-dept O B-arr I-arr B-date Named Entity O O O B-city O B-city I-city O Intent Find_Flight Domain … Cited by 65 Related articles All 16 versions

Event-Based Dialogue Manager for Multimodal Systems S Ondáš, J Juhár – Emergent Trends in Robotics and Intelligent Systems, 2015 – Springer … of the real world and they make us capable of describing entities and relationships … The multimodal dialogue system can be seen as one of the possible realizations of HMI. … Management of interaction, including intent planning, behaviour planning and realization, needs a lot of … Cited by 1 Related articles All 3 versions

Lexical embedding adaptation for open-domain spoken language understanding J Tafforeau, F Bechet, B Favre, T Artieres – … CRF++ is the same CRF using additional features (Part-Of-Speech, Named-Entities). … CRF tagger with and without additional features (POS, Named Entity) vs our … embeddings using knowledge graph for semantic tagging in conversational dialog systems.” AAAI – Association … Related articles All 2 versions

Review of integrated applications with AIML based chatbot MS Satu, MH Parvez – 2015 International Conference on …, 2015 – … Dialog Models: [8] This system is works as task-oriented natural language dialog system which is … cluster and canonicalize similar utterance semantically to replace all the name entity by their … Next, it contains a set of Chatbot to recognize humorous intent with external resources … Related articles

Matrix factorization with knowledge graph propagation for unsupervised spoken language understanding YN Chen, WY Wang, A Gershman… – Proceedings of ACL- …, 2015 – … Spoken dialogue systems (SDS) typically require a predefined semantic ontology to train a spoken … and Hakkani-Tür (2012) studied the Semantic Web for an unsupervised intent detection problem … detection (Hakkani-Tür et al., 2013; Chen et al., 2014a), entity extraction (Wang … Cited by 17 Related articles All 16 versions

Data privacy and ethical uses of Volunteered Geographic Information AJ Blatt – Health, Science, and Place, 2015 – Springer … above identifiers as well as the absence of actual knowledge by the covered entity that the … the analysis of a breach was updated to provide increased scrutiny to covered entities with the … In: André E, Dybkjær L, Minker W, Heisterkamp P (eds) Affective dialogue systems, vol 3068 … Cited by 3 Related articles

Incremental speech production for polite and natural personal-space intrusion T Baumann, F Lindner – International Conference on Social Robotics, 2015 – Springer … by a (single) human and the human provides reasons for action to other social entities (eg, robots). … Yet, encouraging the human to move, eg by verbally communicating the intent to pass … Skantze, G., Hjalmarsson, A.: Towards incremental speech generation in dialogue systems. … Cited by 2 Related articles All 4 versions

Multimodal Dialogmanagement in a Smart Home Context with SCXML D Schnelle-Walka, S Radeck-Arneth… – … Systems with SCXML, 2015 – … The user preferences, available entities and execution context are integrated in a multimodal … ities into a unified semantic interpretation that declares the user’s interaction intent [1]. Multimodal … I., and Rayner, M. Adding intelligent help to mixed-initiative spoken dialogue systems. … Cited by 3 Related articles All 10 versions

Learning Bidirectional Intent Embeddings by Convolutional Deep Structured Semantic Models for Spoken Language Understanding YN Chen, X He – Extended Abstract of The 29th Annual …, 2015 – … 3, 4, 5, 6, 7]. These would then be used in human-machine dialogue systems that automate the … Recent studies used CDSSM to map questions into relation- entity triples for question … relations from intent-utterance pairs [14], while vector representations for intents and utterances … Cited by 2 Related articles All 3 versions

Clustering Novel Intents in a Conversational Interaction System with Semantic Parsing D Hakkani-Tur, YC Ju, G Zweig… – … Annual Conference of …, 2015 – … a conversa- tional interaction system, with the goal supporting future phases of dialog system design … M. Gamon, A. Kannan, and A. Fuxman, “Ac- tive objects: Actions for entity-centric search … and G. Tur, “A weakly- supervised approach for discovering new user intents from search … Cited by 1 Related articles All 3 versions

Weakly supervised slot tagging with partially labeled sequences from web search click logs YB Kim, M Jeong, K Stratos… – Proceedings of the …, 2015 – … Slot types correspond to both named entities (eg, game name, music title, movie name) as … contribution is to leverage search log data to improve slot tagging in spoken dialogue systems. … These approaches rely on named entity recognition as a pre-processing step to identify text … Cited by 4 Related articles All 12 versions

User experience and usability D Bolchini – Communication and Technology, 2015 – … of odeling the structure of the system-to-be in terms of conceptual entities, domain relationships … of the user interface to introduce us to the underlying composition of the intents of communication … Designing Multichannel Web Applications as “Dialogue Systems”: the IDM Model. … Related articles

“Olá, my name is Ana”: A study on Brazilians interacting with a receptionist robot G Trovato, JG Ramos, H Azevedo… – Advanced Robotics ( …, 2015 – … in Carnegie Mellon University, and it featured an agent called Valerie interacting with visitors through a dialogue system [12]. … The concept of “suspension of disbelief” revolves around the assumption that the social robotic entity has an internal purpose and intent driving its … Cited by 1 Related articles All 3 versions

A neural network approach to context-sensitive generation of conversational responses A Sordoni, M Galley, M Auli, C Brockett, Y Ji… – arXiv preprint arXiv: …, 2015 – … et al., 2003), dialog state tracking (Young et al., 2010), and user modeling (Georgila et al., 2006), many compo- nents of typical dialog systems remain hand … We distinguish three linguistic entities in a conver- sation between two users A and B: the context1 c, the message m and … Cited by 56 Related articles All 15 versions

Learning Semantic Hierarchy with Distributed Representations for Unsupervised Spoken Language Understanding YN Chen, WY Wang, AI Rudnicky – Sixteenth Annual Conference of the …, 2015 – … have dimen- sionality 300, vocabulary size is 3 × 106; the entities contain both words … semantics for unsuper- vised semantic slot induction in spoken dialogue systems,” in Proceedings … Extending domain coverage of lan- guage understanding systems via intent transfer between … Cited by 1 Related articles All 5 versions

The MOBOT human-robot communication model SE Fotinea, E Efthimiou… – … ), 2015 6th IEEE …, 2015 – … 4]. Specifically, it involves inter-cognitive communication and information transfer between entities with different … The user is showing the intent to stand either implicitly, by eg moving his … of the individual components of the spoken [12] (audio-gesture) dialogue system (ie speech … Cited by 1 Related articles

Exploring the implications of virtual human research for human-robot teams J Gratch, S Hill, LP Morency, D Pynadath… – … Conference on Virtual, …, 2015 – Springer … possibly multiple parties and complex relationships between these entities and environmental … Breazeal, C., Aryananda, L.: Recognition of affective communicative intent in robot … Towards natural language understanding of partial speech recognition results in dialogue systems. … Cited by 2 Related articles All 4 versions

Multimodal Fusion: Gesture and Speech Input in Augmented Reality Environment AW Ismail, MS Sunar – Computational Intelligence in Information Systems, 2015 – Springer … considers as the solution to improve the interaction between the virtual and physical entities. … The ease with which this unimodal interaction allows us to convey our intent to the … CLASS Workshop on Natural, Intelligent and Effective Interaction in Multimodal Dialogue Systems, pp … Cited by 3 Related articles All 3 versions

Semantics Question Analysis Model for Question Answering System SIA Saany, A Mamat, A Mustapha… – Applied Mathematical …, 2015 – … modules in QA system and an answer type is a specification of type of entity that would … of a QA system which may eliminate the need to build heuristics to recognize name entities and question … [23] W. Wahlster, & A. Kobsa, User Models in Dialog Systems, Heidelberg: Springer … Related articles

System Utterance Generation by Label Propagation over Association Graph of Words and Utterance Patterns for Open-Domain Dialogue Systems HTK Uchiumi – 2015 – … In ordinary dialogue systems, ie, rule-based systems, a very large number of hand-crafted rules and … with word and utterance pattern nodes, where a word represents a named entity and an … represents a template of utter- ances reduced by replacing their named entities with slots … Related articles All 8 versions

The social impact of a robot co-worker in industrial settings A Sauppé, B Mutlu – Proceedings of the 33rd Annual ACM Conference …, 2015 – … robots that play a “co-worker” role to also be perceived as social entities, although little is … results in the application of specific schemas, such as “col- laborator,” “social entity,” or merely … Attribution of Human Characteristics Operators believed the robot has personality and intent. … Cited by 6 Related articles All 3 versions

Extracting Sentiment from Healthcare Survey Data D Georgiou, A MacFarlane, T Russell-Rose – … be due to the nature of the survey and the fact that a lot of the entities were specific … by considering the following features: POS recognition, comparison detection, humour detection, speculation analysis, risk analysis, intent analysis, named entity recognition, shallow … Related articles

Extracting sentiment from healthcare survey data: An evaluation of sentiment analysis tools D Georgiou, A MacFarlane… – … Conference (SAI), 2015, 2015 – … be due to the nature of the survey and the fact that a lot of the entities were specific … by considering the following features: POS recognition, comparison detection, humour detection, speculation analysis, risk analysis, intent analysis, named entity recognition, shallow … Related articles

Jointly modeling inter-slot relations by random walk on knowledge graphs for unsupervised spoken language understanding YN Chen, WY Wang… – Proceedings of NAACL- …, 2015 – … An important requirement for building a success- ful spoken dialogue system (SDS) is to define a co- herent slot set and the corresponding slot-fillers for the spoken language … (2011) used a random walk algorithm to con- struct inference rules on large entity-based knowl- edge … Cited by 10 Related articles All 13 versions

Engagement driven topic selection for an information-giving agent N Glas, K Prepin, C Pelachaud – Workshop on the …, 2015 – … For these entities dialogue fragments have been cre- ated … for Games (Rich, 2012) that calls pre- scripted FML files, which are files that specify the communicative intent of an … The agent’s topic selec- tion module could be connected to any other task and/or dialogue system as well … Cited by 4 Related articles All 8 versions

New transfer learning techniques for disparate label sets YB Kim, K Stratos, R Sarikaya, M Jeong – ACL. Association for …, 2015 – Page 1. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pages 473–482, Beijing, China, July 26-31, 2015. cO2015 Association for Computational Linguistics … Cited by 9 Related articles All 9 versions

Sketch-thru-plan: a multimodal interface for command and control PR Cohen, EC Kaiser, MC Buchanan, S Lind… – Communications of the …, 2015 – … Instead, users can select an entity by drawing a mark on it and speaking … The broader-coverage Gemini parser is used when describing tasks for the entities that typically … P., Walker, M., Whittaker, S., and Maloor, P. MATCH: An architecture for multimodal dialogue systems. … Cited by 5 Related articles All 2 versions

Detecting actionable items in meetings by convolutional deep structured semantic models YN Chen, D Hakkani-T, X He – 2015 IEEE Workshop on …, 2015 – … The triggered intents are at the right part along with descriptions. … els [4, 5, 6, 7, 8, 9]. These would then be used in human-machine dialogue systems that automate … Recent studies used CDSSM to map questions into relation-entity triples for question answering [18, 19], which … Cited by 3 Related articles All 5 versions

Learning knowledge graphs for question answering through conversational dialog B Hixon, P Clark, H Hajishirzi – Proceedings of the the 2015 Conference …, 2015 – … KNOWBOT is an open dialog system, which means a user utterance may progress the dialog task even if its underlying action is not explicitly rep … Our thesis is that user explanations intend to relate concepts together, and the system’s task is to deter- mine the user’s intent. … Cited by 15 Related articles All 8 versions

Computational irony: A survey and new perspectives BC Wallace – Artificial Intelligence Review, 2015 – Springer … a practical method to capture this intuition; they used Named Entity Recognition to … to many people this genuinely would be great news!), information regarding entities and their … D, Narayanan S (2006) ”Yeah Right”: sarcasm recognition for spoken dialogue systems. Utsumi A … Cited by 16 Related articles All 6 versions

Hierarchical neural network generative models for movie dialogues IV Serban, A Sordoni, Y Bengio, A Courville… – arXiv preprint arXiv: …, 2015 – … This has been beneficial for classification of user intents (Forgues et al., 2014). … They showed that an ex- isting dialogue system could successfully be aug- mented with the subtitles … language toolkit NLTK (Bird et al., 2009) to perform tokenization and named-entity recognition7. … Cited by 16 Related articles All 4 versions

A Knowledge Preservation and Re-Use Tool Based on Context-Driven Reasoning AJ Gonzalez, B Sherwell, J Nguyen… – … Journal on Artificial …, 2015 – World Scientific … Huber48 expresses the need for the communicating entities to have the same language and knowledge of relevant words in order for knowledge exchange to proceed successfully. … These grids relate degree of membership in a concept or class by an entity. … Related articles

Sentiment analysis: Detecting valence, emotions, and other affectual states from text SM Mohammad – Emotion Measurement, 2015 – … used to shape brand image, track customer response, and in developing automatic dialogue systems for handling … 1 Detecting sentiment towards aspects of an entity A review of a product or … set of related entities is called a semantic frame and the individual entities, defined in … Cited by 17 Related articles All 4 versions

Constructing Virtual Role-Play Simulations WL Johnson – … for Adaptive Intelligent Tutoring Systems: Authoring …, 2015 – … after which two subject matter experts without previous experience building dialogue systems used the … The decision engine interprets such behaviors as acts with communicative intent and chooses … virtual worlds and populating them with buildings, vehicles, and other entities. … Cited by 2 Related articles All 2 versions

Tiger Burn G SEEK, M WIN – 2015 – … described by a press release from the university as “the first single entity dedicated to … game where you are supposed to be building a character, tearing down the dialogue system was a … her husband, Saket, moved back to Columbia from San Francisco with the intent of opening …

Using Ontology-Based Context in the Portuguese-English Translation of Homographs in Textual Dialogues D Moussallem, R Choren – arXiv preprint arXiv:1510.01886, 2015 – … extract specific concepts, the meaning of specific word and a relationship among entities. … implementation of solution propose by Harriehausen- Muhlbauer [11] in a dialogue system, the critics … Data eg DBpedia [39] and will be implemented NER (named entity recognition) based … Cited by 1 Related articles All 6 versions

Evaluating prerequisite qualities for learning end-to-end dialog systems J Dodge, A Gane, X Zhang, A Bordes, S Chopra… – arXiv preprint arXiv: …, 2015 – … We also identified the subset of the test set where there is an entity match with at least two entities from Tasks 1-3, where one of the entities appears in the … Traditional dialog systems consist of two main modules: (1) a dialog state tracking component that tracks what has … Cited by 10 Related articles All 3 versions

Repurposing conversation: Experiments with the continuous speech stream D McMillan, A Loriette, B Brown – Proceedings of the 33rd annual ACM …, 2015 – … the phone. Even though our intent was to understand interaction with phones, we found that we also incidentally collected surprisingly legible person- to-person audio from conversations conducted around the phone. This led … Cited by 4 Related articles All 8 versions

[BOOK] Human face of ambient intelligence E Bibri – 2015 – Springer … technologies, processes, and capabilities that underlie the functioning of AmI systems as a class of intelligent entities exhibiting cognitive and … Apropos, the intent of this book addressing interdisciplinary and multidisciplinary aspects of AmI (as a crossover approach linked to … Cited by 8 Related articles All 7 versions

Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization P Li, W Cai, H Huang – Proceedings of the 24th ACM International on …, 2015 – … WHY reasons for the attack motive, commit, intent, cause, means, reason, etc. … In our case, some argument heads are not name entities, and they are concepts such as “school”, “man”. Therefore, a combination of several tools to conduct type tagging is a good choice. … Related articles

Effective use of cross-domain parsing in automatic speech recognition and error detection MA Marin – 2015 – … While the user intents that systems handle are few, the way these intents are expressed may vary significantly from one user to the next. … request made by the dialog system component. … Page 29. 10 (for example, named entity recognition or chunking [144, 55]). … Cited by 2 Related articles All 2 versions

Modern standards for VoiceXML in pervasive multimodal applications D Schnelle-Walka, S Radomski… – … Perspectives on the …, 2015 – … language element send is described to push object models to remote entities, thus alleviating … Therefore, a coordinating entity, like the controlling IM, needs to know, when speech or … into a single semantic interpretation that expresses the user’s interaction intent (Atrey, Hossain … Cited by 1 Related articles All 3 versions

Inferring Intentions Through State Representations In Cooperative Human-Robot Environments … C SCHLENOFF – … 49 Figure 15: Sample Cyc Spatial Relations ….. 51 Figure 16: Qualitative Entity Location [126] …. 55 Figure 17: RCC8 Relations … Related articles All 2 versions

Intelligent Mobile, Wearable, and Ambient Technologies for Behavioral Health Care DD Luxton, JD June, A Sano… – Artificial Intelligence in …, 2015 – … There are several frameworks for dialog systems, ranging from simple pattern-response rules, to sophisticated … The overall intent of the system is to make use of psychological concepts such … protected health information to a healthcare provider (if a covered entity), the provider … Related articles

Look together: analyzing gaze coordination with epistemic network analysis S Andrist, W Collier, M Gleicher, B Mutlu… – Frontiers in …, 2015 – … has shown that speakers look toward their addressees in order to check their understanding of references to new entities (Nakano et … better understand the role gaze plays as a conversational resource during reference—how people specify the person, object, or entity that they … Cited by 3 Related articles All 9 versions

A survey of available corpora for building data-driven dialogue systems IV Serban, R Lowe, L Charlin, J Pineau – arXiv preprint arXiv:1512.05742, 2015 – … the available information P(Y |X), where Y is the label of interest (eg a discrete variable representing the user intent) and X … Once trained on a given dataset, these models may be plugged into a fully- deployed dialogue system (eg a classification model for user intents may be … Cited by 9 Related articles All 2 versions

Understanding Human-Machine Networks: A Cross-Disciplinary Survey M Tsvetkova, T Yasseri, ET Meyer, JB Pickering… – arXiv preprint arXiv: …, 2015 – … social as part of technology, ANT considers technology (and other non-human entities) as part … mean an entity that behaves like a single person (even if the entity is an … machines, humans have the capacity for emotions, attitudes, sociality, meaning-making, creativity and intent. … Related articles All 3 versions

Feedback source modality effects on training outcomes in a serious game: Pedagogical agents make a difference B Goldberg, J Cannon-Bowers – Computers in Human Behavior, 2015 – Elsevier … The intent is for an agent–learner relationship to mimic Vygotsky’s (1987) social-derived theory in … a defined proximity of their squad leader, which is influenced by entity location data … It supports multimedia applications and the presence of virtual entities acting as defined tutors. … Cited by 8 Related articles All 8 versions

A Strategy for Multilingual Spoken Language Understanding Based on Graphs of Linguistic Units MC Lance – 2015 – … For example, for many years, one ambitious goal of speech technologies was the development of Spoken Dialogue Systems (SDSs). … 2015). • Intent determination: It is important to capture the goal of the user in order to provide the information that the user is asking for. … Related articles

[BOOK] Computer Interpretation of Metaphoric Phrases SW Russell – 2015 – … unconven- tional way. My intent in writing this book is mainly to suggest the extent to which a semantics–based model with a simple mechanism could (approxi- mately) paraphrase both conventional and novel metaphor. But I … Related articles All 4 versions

Laughing With A Virtual Agent: An Evaluation Study Using A Virtual Character Expressing Different Copying Behaviours. M Poesio, B Biancardi, C Pelachaud – Page 1. MASTER DEGREE IN COGNITIVE SCIENCE Language and Multimodal Interaction Track THESIS LAUGHING WITH A VIRTUAL AGENT: an evaluation study using a virtual character expressing different copying behaviours. Supervisor: Student: Prof. Massimo Poesio … Related articles

Improper behaviour in argumentation based persuasion dialogues RM Hommes – 2015 – … dialogues. Also, agent technology is an important field in AI, because agents are autonomous entities which possess AI to some degree. … dishonesty. In Section 2, argumentation based dialogue systems for persuasion are introduced. … Related articles

Learning data-driven models of non-verbal behaviors for building rapport using an intelligent virtual agent R Amini – 2015 – … The overall goal is to explore the possibilities of using machine learning techniques to move away from hand-crafted rule-based models employed in most of the current health-related dialogue systems (Discussed in Section 2), toward modeling human’s non-verbal behaviors … Cited by 1 Related articles All 2 versions

[BOOK] Robots that talk and listen: technology and social impact J Markowitz – 2015 – … VI Contents Karakuriningyo|58 Animatronics | 58 An android as a self portrait: the work of Hiroshi Ishiguro |59 Hanson robotics | 60 III The Philip K. Dick android|61 IV Robot components|62 V Building a dialogue system|63 A Gricean maxims | 63 B Architecture | 64 C Conversing … Cited by 3 Related articles All 2 versions

Autonomous Virtual Human Agents for Healthcare Information Support and Clinical Interviewing A Rizzo, R Shilling, E Forbell, S Scherer… – … in Behavioral and …, 2015 – … This has led some researchers to consider the use of artificially intelligent autonomous VH agents as entities for simulating human-to … In essence, the SimCoach architecture has evolved for application beyond the original intent and, in fact, an online SimCoach authoring tool has … Cited by 1 Related articles

[BOOK] Universal Access in Human-Computer Interaction. Access to Today’s Technologies: 9th International Conference, UAHCI 2015, Held as Part of HCI … M Antona, C Stephanidis – 2015 – … In 2008, Cooke and Russell [47] used the gaze information to change model prob?- abilities of a given word based on the visual focus. In this study the authors assumed a relation between eye movements and the communicative intent. … Related articles

Scaling RDF Triple Stores in Size and Performance: Modeling SPARQL Queries as Graph Homomorphism Routines VG Castellana, J Weaver, A Morari, A Tumeo… – Big Data …, 2015 – … such as Tables. These methods have been implemented exploiting GMT primitives, with the intent of hiding any complexity to the upper levels, or possibly to users who wish to develop their own application. 3.2. 1 Graph and … Related articles

[BOOK] Sentic computing: a common-sense-based framework for concept-level sentiment analysis E Cambria, A Hussain – 2015 – … Examples of the second domain will include, but not limited to: computational and psychological models of emotions, bodily manifestations of affect (facial expressions, posture, behavior, physiology), and affective interfaces and applications (dialogue systems, games, learning … Cited by 48 Related articles All 2 versions

Emotional Agents–State of the Art and Applications M Ivanovi?, Z Budimac, M Radovanovi?… – Computer Science and …, 2015 – … about emotions, and also detect, handle, understand and express emotions [3]. Efforts in building emotionally intelligent entities have been … Agent architecture (combination of psychology and robotics models) for an enhanced theory of intent prediction with affective evaluation … Related articles All 4 versions

All together now… This time with meaning: A hierarchical lexicon for semantic coordination B Noble – 2015 – … This assumption is not tenable when modeling natural language dia- logue; far from treating word meanings as fixed entities, linguistic agents are … Formal Semantics A final motivation for this thesis is a consideration for its possible applications both in dialogue systems and in … Related articles All 3 versions

Argumentation-Based Dialogue Games for Shared Control in Human-Robot Systems EI Sklar, MQ Azhar – Journal of Human-Robot Interaction, 2015 – … Current work on dialogue in the human-robot interaction (HRI) community is fo- cused on challenges in natural language dialogue systems, such as architectures … that S is the set of evidence in ? that supports the conclusion c. Thus, an argument is a logical entity that consists … Cited by 1 Related articles All 4 versions

[BOOK] Artificial Superintelligence: A Futuristic Approach RV Yampolskiy – 2015 – … of payment has been arranged. Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe. Visit the Taylor & Francis … Cited by 8 Related articles All 2 versions

Semantic mapping for mobile robotics tasks: A survey I Kostavelis, A Gasteratos – Robotics and Autonomous Systems, 2015 – Elsevier … The latter is oriented to the identification of the way that two or more entities interact, behave towards, and deal with each other [7]. Thereby, the semantic mapping targets to the identification and the record of the signs and the symbols that contain meaningful concepts for … Cited by 24 Related articles All 5 versions

Crowd agents: interactive intelligent systems powered by the crowd WS Lasecki – 2015 – … Page 17. xvii Abstract Intelligent systems hold the promise of enabling intent-level control and explo- ration of information, to providing robust accessibility accommodations to people with disabilities. However, automated approaches to solving these problems are … Related articles All 3 versions

Discourse Analysis of Emotion in Face-to-Face Group Decision and Negotiation B Martinovsky – Emotion in Group Decision and Negotiation, 2015 – Springer … Since discourse entities are multi-functional, qualitative ethno-methodological analysis of recorded interactions is suitable and necessary … In the example below, we have an explicit linguistic reference to this communicative act, “I’m sorry,” but its intent and effect is changed by the … Related articles All 3 versions

[BOOK] Emotion, Affect and Personality in Speech: The Bias of Language and Paralanguage S Johar – 2015 – … 26 4.2 Multimodality in Spoken Dialogue Systems . . . … as a Major Auditory Attribute The periodicity of the glottal pulse and the time-variations of glottal pulse period convey the intent, expressional content … (c) Accents convey information about the status of individual entities in the … Related articles All 2 versions

Entertainment, Culture, and Media Art R Nakatsu, N Tosa, M Rauterberg, W Xuan – 2015 – Springer Page 1. Entertainment, Culture, and Media Art Ryohei Nakatsu, Naoko Tosa, Matthias Rauterberg, and Wang Xuan Contents Introduction . . . . . 3 Entertainment . . . . . … Cited by 1 All 3 versions

State of the art in hand and finger modeling and animation N Wheatland, Y Wang, H Song, M Neff… – Computer Graphics …, 2015 – Wiley Online Library Our site uses cookies to improve your experience. You can find out more about our use of cookies in About Cookies, including instructions on how to turn off cookies if you wish to do so. By continuing to browse this site you agree … Cited by 10 Related articles All 9 versions

Robust Natural Language Processing for Urban Trip Planning J Booth, B Di Eugenio, IF Cruz… – Applied Artificial …, 2015 – Taylor & Francis … All of these entities have both spatial and temporal dimensions that might change over time (eg, hours of operation of a store, the current position of a user, the status of a road at a specific time). … Releasing a multimodal dialogue system into the wild: User support mechanisms. … Related articles All 8 versions

[BOOK] Teaching minds: How cognitive science can save our schools RC Schank – 2015 – Page 1. TEACHING MINDS HCIW EUENITIVE EEIENEE CAN SAVE l;ll;IR EIZHCIQIIQS; RCIGER SBHA*NK Page 2. Teaching Minds How Cognitive Science Can Save Our Schools Page 3. Page 4. Teaching Minds How Cognitive … Cited by 53 Related articles All 3 versions

Easily Bootstrappable Statistical Spoken Dialogue System K Valev – 2015 – … Independent of the approach, a key issue in a real POMDP-based dialogue system is its ability to be robust to noise. … For example, in the tourist information domain, if the user specified food=Italian this implies that the user wants type=restaurant and entity=venue. … Related articles

Designing Culturally Sensitive Icons for User Interfaces: An approach for the Interaction Design of smartphones in developing countries MAB Soares – 2015 – Page 1. MESTRADO MULTIMÉDIA – ESPECIALIZAÇÃO EM TECNOLOGIAS DESIGNING CULTURALLY SENSITIVE ICONS FOR USER INTERFACES : AN APPROACH FOR THE INTERACTION DESIGN OF SMARTPHONES IN …

Comparing team feedback in a Team Multiple Errands Test J Walton – 2015 – Citeseer … specific individual. Feedback that has group content will address the performance of a group as one entity. Little research has focused on how the privacy or audience of team feedback, pertaining to a team’s mutual performance, will influence the team’s ability to obtain mutual … Cited by 1 Related articles All 5 versions

Natural Language Direction Following for Robots in Unstructured Unknown Environments F Duvallet – 2015 – Page 1. Carnegie Mellon University Research Showcase @ CMU Dissertations Theses and Dissertations Winter 1-2015 Natural Language Direction Following for Robots in Unstructured Unknown Environments Felix Duvallet Carnegie Mellon University … Related articles All 4 versions

Dynamic Interviewing Agents: Effects on Deception, Nonverbal Behavior, and Social Desirability RM Schuetzler – 2015 – … the use of sophisticated text processing techniques such as part of speech tagging, named entity recognition, and processing of syntactic and semantic structure. … blurred. As such, some make the distinction not as chat bot versus dialog system, … Cited by 1 Related articles All 3 versions

A double-loop learning approach to construct understanding of accumulation principles CA Browne – 2015 – … ST systems thinking, field of knowledge STEM science, technology, engineering and mathematics stock an entity that accumulates or depletes over time stock-flow (SF) failure a perception of stock-and-flow relationships that violate conser- vation of mass principles … Related articles

The Impact of the Commonwealth of Learning, 2006–2015: Value Through Learning for Development S Murgatroyd, J Tully – 2015 – … of practice – COL needs to become more systematic in developing communities of practice that support the strategic intent of an … Board members observed that COL’s Commonwealth credentials are strong, but uncertainty exists about the Commonwealth’s future as an entity. … All 2 versions

[BOOK] HCI International 2015-Posters’ Extended Abstracts: International Conference, HCI International 2015, Los Angeles, CA, USA, August 2-7, 2015. Proceedings C Stephanidis – 2015 – Page 1. Constantine Stephanidis (Ed.) Communications in Computer and Information Science 529 HCI International 2015 – Posters’ Extended Abstracts International Conference, HCI International 2015 Los Angeles, CA, USA … Related articles All 2 versions

[BOOK] Biometric and intelligent decision making support A Kaklauskas – 2015 – Springer Page 1. Intelligent Systems Reference Library 81 Arturas Kaklauskas Biometric and Intelligent Decision Making Support Page 2. Intelligent Systems Reference Library Volume 81 Series editors Janusz Kacprzyk, Polish Academy … Cited by 9 Related articles All 4 versions

Crisis Management In Construction And Real Estate A KAKLAUSKAS, EK ZAVADSKAS, A BINKyTE… – … OF REAL ESTATE – … such as these authors investigated: the process of the existence of the construction and real estate sector, the interested groups participating in it and the effectiveness of the branch operating in the external micro-, meso-and macro levels of the environment as a single entity. … Related articles All 2 versions

[BOOK] Speech and Language Technology for Language Disorders K Beals, D Dahl, R Fink, M Linebarger – 2015 – … 19 Analyzing meaning 19 Information about intermediate structure 24 Converting language to action 25 Limits of current natural language understanding systems 26 Availability of natural-language-processing technology 26 Dialog systems 27 What are dialog systems? … Related articles All 2 versions

Scalable Intelligence for Scheduling Systems BMA Cunha – 2015 – … or interaction with the system. A typical UM consists of entities (Conlan et al., 2006) which are connected to a number of attribute-value pairs. Most entities in the UM represent concepts from the DM. In Brusilovsky (1996), user … Related articles All 2 versions

A Case Study of the Communicative Abilities of a Subject with Mosaic Patau Syndrome I Rummo – 2015 – Page 1. INGRID RUMMO A Case Study of the Communicative Abilities of a Subject with Mosaic Patau Syndrome DISSERTATIONES LINGUISTICAE UNIVERSITATIS TARTUENSIS 22 INGRID RUMMO A Case Study of the Communicative Abilities of a Subject with Mosaic … Cited by 2 Related articles

A Cognitive Approach to Modeling Bad News Conversations B van Straalen – 2015 – … The field of spoken dialogue systems has produced some useful appli- cations in which spoken or written language is the mode of interaction , but it seems that we are far removed from building a machine that – based on its conversational skills – can be mistaken for a human … Related articles

[BOOK] A cognitive approach to modeling bad news conversations B Straalen – 2015 – … The field of spoken dialogue systems has produced some useful appli- cations in which spoken or written language is the mode of interaction , but it seems that we are far removed from building a machine that – based on its conversational skills – can be mistaken for a human … Related articles