Hypergraph & Dialog Systems


Hypergraph

Notes:

A hypergraph is a generalization of a graph in which an edge can connect any number of vertices.

Wikipedia:

References:

See also:

FrameNet & Dialog Systems | N-gram & Tag Clouds | Parse Tree & Dialog Systems 2012 | Sentence Summarization


Fundamentals of the design and the operation of an intelligent tutoring system for the learning of the arithmetical and algebraic way of solving word problems D Arnau, M Arevalillo-Herraez, L Puig… – Computers & …, 2013 – dl.acm.org … In particular, hypergraphs are introduced as an adequate way to support tracking in both the arithmetical and algebraic case. … In: Rose, CP, Freedman, R. (Eds.), Building dialogue systems for tutorial applications, papers of the 2000 AAAI fall symposium, AAAI Press, Menlo Park … Cited by 6 Related articles All 5 versions Cite Save

Syntax-Semantic mapping for general intelligence: language comprehension as hypergraph homomorphism, language generation as constraint satisfaction R Lian, B Goertzel, S Ke, J O’Neill, K Sadeghi… – Artificial General …, 2012 – Springer … approach to translating between natural language ex- pressions and hypergraph-based semantic … homomor- phisms mapping syntactic parse trees into semantic hypergraphs, and language … into something useful for aiding gen- erally intelligent dialogue systems are discussed. … Cited by 1 Related articles All 5 versions Cite Save

Natural Language Dialogue B Goertzel, C Pennachin, N Geisweiller – Engineering General Intelligence …, 2014 – Springer … natural language query systems that query relational databases, but the “database” in question is a dynamically self- adapting weighted labeled hypergraph rather than a static relational database, and this difference means a much more complex dialogue system is required, as … Cite Save

Generating Cafeteria Conversations with a Hypernetwork Dialogue Model JH Oh, HS Chun, BT Zhang – bi.snu.ac.kr … 6. Seok-Jae Choi, The processing of Language for the Dialogue System -Especially for an order of a fast-food and coffee … 8. Bado Lee, Ho-Sik Seok, Byoung-Tak Zhang, Sentence Generation Capability of a Random Hypergraph based Language Model considering Word … Related articles All 2 versions Cite Save More

A Hypergraph Based Framework for Intelligent Tutoring of Algebraic Reasoning M Arevalillo-Herráez, D Arnau – Artificial Intelligence in Education, 2013 – Springer … In this particular case, the use of a description lan- guage based on hypergraphs permits to … A Hypergraph Based Framework for Intelligent Tutoring of Algebraic Reasoning … In: Rose, CP, Freedman, R. (eds.) Build- ing Dialogue Systems for Tutorial Applications, Papers of the … Related articles Cite Save

[BOOK] STAIRS 2010: Proceedings of the Fifth Starting AI Researchers’ Symposium T Ågotnes – 2011 – books.google.com … Chen Merging and Splitting for Power Indices in Weighted Voting Games and Network Flow Games on Hypergraphs Anja Rey and … Gaston Tagni, Stefan Schlobach, Annette ten Teije, Frank van Harmelen and Giorgios Karafotias Obligationes as Formal Dialogue Systems Sara L … Cite Save

Concept-to-text generation via discriminative reranking I Konstas, M Lapata – Proceedings of the 50th Annual Meeting of the …, 2012 – dl.acm.org … An appealing alternative is to rerank the hyper- graph directly (Huang, 2008). … in this framework non-local features are computed at all internal hypergraph nodes, allowing the de … and surface realization; we repre- sent parse derivations compactly using hypergraphs and illustrate … Cited by 13 Related articles All 5 versions Cite Save

A modular system oriented to the design of versatile knowledge bases for chatbots G Pilato, A Augello, S Gaglio – ISRN Artificial Intelligence, 2012 – hindawi.com … The simplest way to implement a conversational agent is to use chatbots [4], which are dialogue systems based on a pattern … Declarative knowledge is represented in a hypergraph labeled with different types of weights: probabilistic weights representing values of the semantic … Cited by 1 Related articles All 7 versions Cite Save More

Issues in translating from natural language to SQL in a domain-independent natural language interface to databases BJJ González, RAP Rangel, HHJ Fraire… – MICAI 2006: Advances …, 2006 – Springer … The implementation of a user-NLIDB dialogue system for obtaining addi- tional information to clarify deficiently formulated queries is proposed, so that a translation that meets the real … 12. Fagin, R.: Degrees of Acyclicity for Hypergraphs and Relational Database Schemes. … Cited by 4 Related articles All 4 versions Cite Save

Natural Language Understanding and Assessment. V Rus, PM McCarthy, DS McNamara, AC Graesser – 2009 – igi-global.com … semantics (McCarthy et al., 2007). Researchers who have developed tutorial dialogue systems in natural language have explored the accuracy of matching students’ written input to targeted knowledge. Examples of these systems … Cited by 6 Related articles All 4 versions Cite Save

Conditional Random Fields for Responsive Surface Realisation using Global Features. N Dethlefs, HW Hastie, H Cuayáhuitl, O Lemon – ACL (1), 2013 – macs.hw.ac.uk … In interactive settings such as gen- eration within a spoken dialogue system (SDS), a … transducers, Nakatsu and White (2006) who use supervised learning, Varges (2006) who uses chart generation, and Konstas and Lapata (2012) who use weighted hypergraphs, among others … Cited by 3 Related articles All 7 versions Cite Save More

Exploiting the Layout Engine to Assess Diagram Completions S Mazanek, S Maier, M Minas – Electronic Communications of …, 2008 – journal.ub.tu-berlin.de … The language of a hypergraph grammar is the set of hypergraphs that consist of terminal hyperedges only and that are derivable from the starting graph (in case of NSDs this is a single nonterminal NSD edge with incident nodes). The language of NSDs is recursively defined. … Cited by 3 Related articles All 5 versions Cite Save

Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, … N Bach, S Vogel, C Cherry, S Riedel, J Clarke… – Proceedings of Human …, 2009 – aclweb.org … Zhifei and Khudanpur, Sanjeev}, title = {Efficient Extraction of Oracle-best Translations from Hypergraphs}, booktitle = {Proceedings … David}, title = {Towards Natural Language Understanding of Partial Speech Recognition Results in Dialogue Systems}, booktitle = {Proceedings … Cited by 2 Related articles All 2 versions Cite Save More

Optimization Tasks in the Conversion of Natural Language Texts into Function Calls P Barabás, L Kovács – Applied Information Science, Engineering and …, 2014 – Springer … The main interaction form between human and computer is speech in spoken dialog systems (SDS). Three types of such systems can be distinguished: state-based [1–3], frame-based [4, 5] and agent-based [6]. … These kinds of dialog systems represent series of states. … Related articles All 2 versions Cite Save

[BOOK] Computer Recognition Systems 2 M Kurzynski, E Puchala, M Wozniak, A Zolnierek – 2007 – books.google.com … 739 Decisive Factors in the Annotation of Emotions for Spoken Dialogue Systems Zoraida Callejas, Ramón López-Cózar….. … 755 Design Description Hypergraph Language Ewa Grabska, Grazyna Slusarczyk, Michal Glogaza….. … Cited by 1 Related articles All 5 versions Cite Save

Generating student feedback from time-series data using Reinforcement Learning D Gkatzia, H Hastie, S Janarthanam, O Lemon – ENLG 2013, 2013 – aclweb.org … Srinivasan Janarthanam and Oliver Lemon. 2010. Adaptive Referring Expression Generation in Spo- ken Dialogue Systems: Evaluation with Real Users. … Ioannis Konstas and Mirella Lapata. 2012. Unsuper- vised concept-to-text generation with hypergraphs. … Cited by 1 Related articles All 7 versions Cite Save More

R Vuorikari, B Berendt – 2009 – dspace.learningnetworks.org … However, this view igStudy on contexts in tracking usage and attention metadata in multilingual Technology Enhanced Learning nores the essential role of the user in tagging. Tags and the resulting networks (folksonomies) are commonly modelled as tri-partite hypergraphs, eg [CSB+07]. … [WK89] Wahlster, W; Kobsa, A. User models in dialog systems. … Cited by 6 Related articles All 8 versions Cite Save

Semiring Lattice Parsing Applied to CYK SE Boquera, JG Moya, FZ Martínez – Pattern Recognition and Image …, 2007 – Springer … Given a topological order v1,…,v|V | of word graph vertices, a topological order of hypergraph vertices (Figure 1b) is: … of the NATO Advanced Study Institute on Recent advances in speech understanding and dialog systems, pp. … Klein, D., Manning, CD: Parsing and hypergraphs. … Cited by 3 Related articles All 3 versions Cite Save

Hindi generation from interlingua S Singh, M Dalal, V Vachani… – … Summit (MTS 07), …, 2007 – mt-archive.info … NLG research in recent times is witnessing a flurry of activities in Dialogue Systems in which the generation component addresses the problems of sentential fluency, text planning and … Syntax planning is the process of linearizing the lexemes in the Semantic hyper-graph. … Cited by 14 Related articles All 7 versions Cite Save More

Context modeling using a common sense database G LINDSTEDT, M RUNELÖV – 2013 – csc.kth.se … We will study known chatbots in the field and papers that discuss common sense databases in conjunction with dialogue systems to provide an overview … It is built as a hypergraph (where edges can connect to any number of nodes) with about 12.5 million edges and 3.9 million … Related articles All 2 versions Cite Save More

Holistic Analysis on Affective Source of Japanese Traditional Skills K Morimoto, N Kuwahara – Advances in Affective and Pleasurable …, 2012 – books.google.com … (eds) Spoken Dialogue Systems Technology and Design … We have proposed a graph-based data model, the Directed Recursive Hypergraph data Model (DRHM), for representing the contents of … It incorporates the concepts of directed graphs, recursive graphs, and hypergraphs. … Related articles All 2 versions Cite Save

Surface Realisation from Knowledge-Bases B Gyawali, C Gardent – loria.fr … (DeVault et al., 2008) describes an approach for generating from the frames produced by a dialog system. … They intersect the grammar with a lan- guage model to improve fluency; use a weighted hypergraph to pack the derivations; and find the best derivation tree using Viterbi … Related articles Cite Save More

Towards a surface realization-oriented corpus annotation L Wanner, S Mille, B Bohnet – Proceedings of the Seventh International …, 2012 – dl.acm.org … Sinf of S is an undirected labeled hypergraph (V,I) with V as the set of vertices of S and I the set of hyperedges, with I := {themei (i = 1, 2, …) rhemei (i = 1, 2, . . . ) givenj (j = 1,…,3), new, foregrounded, back- grounded … Stochastic language generation for spoken dialogue systems. … Cited by 3 Related articles All 7 versions Cite Save

Representing General Relational Knowledge in ConceptNet 5. R Speer, C Havasi – LREC, 2012 – redirect.subscribe.ru … the emotional con- tent of text (Cambria et al., 2010), to create a dialog system for improving … We exper- imented with representations of reified hypergraphs, but found that the result was exceptionally difficult to … questions such as “What are the parts of a car?” in a hypergraph is a … Cited by 29 Related articles All 5 versions Cite Save More

Task-Dependent Visualization of Coreference Resolution Results R Witte, T Tang – International Conference on Recent Advances in …, 2007 – rene-witte.net … Page 3. Fig. 2: Visualization of single-document coreference chains as a Topic Map using a HyperGraph renderer 4 Coreference Visualization … In Proceedings of the 2nd IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, Seattle, USA, 2001. … Cited by 5 Related articles All 8 versions Cite Save More

Toward Semantic Machine Translation J Andreas – 2012 – academiccommons.columbia.edu … who learn a Markov logic network in order to induce semantic forms [PD09]; Artzi et al.’s semantic parser bootstrapped from transcripts of interactions with a dialog system [AZ11]; and Liang’s work on learning semantic representations from question-answer pairs [LJK11]. … Related articles Cite Save

ConceptNet 5: A large semantic network for relational knowledge R Speer, C Havasi – The People’s Web Meets NLP, 2013 – Springer … to build a system for analyzing the emotional content of text [6], to create a dialog system for improving … One way to represent a hypergraph is to reify all edges as nodes, with lower-level … We experimented with representations of reified hypergraphs, but found that the result … Cited by 16 Related articles Cite Save

Word Ordering with Phrase-Based Grammars M Tomalin, W Byrne – mi.eng.cam.ac.uk … Figure 1 represents all the possible derivations in a hypergraph, which generate four alternative strings. … These input representations are suitable for ap- plications such as dialog systems, where the sys- tem maintains the information needed to generate the input representation … Related articles Cite Save More

WWAI. Towards a massively-parallel-wetware-oriented artificial intelligence distributed worldwide RB LISEK – lisek.art.pl … Knowledge representation, dialog system, explanation of understanding, … AGI conception is based on the Self-Modifying, Evolving Probabilistic Hypergraph (SMEPH) intended to identify general structures and dynamics hypothetically applicable to the mind of any sort of … Related articles All 4 versions Cite Save More

On Developing User Interfaces for Children in Educational Virtual Reality Environments L Scarlatos, R Friedman – cs.stonybrook.edu … Adaptive learning with dialog systems will help us to fine-tune the gestural interface, making it more natural and intuitive for the children. … http://www.siggraph.org/education/materials/ HyperGraph/animation/character_animation/ motion_capture/motion_optical.htm. 22. … Related articles All 7 versions Cite Save More

Natural Language Processing and Chinese Computing GZJ Li, DZY Feng – Springer … 72 Xiaoqing Lu, Yingmin Tang, Zhi Tang, Yujun Gao, and Jianguo Zhang Simulated Spoken Dialogue System Based on IOHMM with User History … 176 Lei Cui, Dongdong Zhang, Shujie Liu, Mu Li, and Ming Zhou A Simple, Fast Strategy for Weighted Alignment Hypergraph….. … Cite Save

A survey of different approaches to support in argumentation systems A Cohen, S Gottifredi, AJ García… – The Knowledge …, 2013 – Cambridge Univ Press Page 1. The Knowledge Engineering Review, page 1 of 38. & Cambridge University Press, 2013 doi:10.1017/S0269888913000325 A survey of different approaches to support in argumentation systems ANDREA COHEN, SEBASTIAN … Cited by 3 Related articles Cite Save

Inducing Document Plans for Concept-to-Text Generation. I Konstas, M Lapata – EMNLP, 2013 – aclweb.org Page 1. Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 1503–1514, Seattle, Washington, USA, 18-21 October 2013. cO2013 Association for Computational Linguistics Inducing Document Plans for Concept-to-text Generation … Cited by 1 Related articles All 2 versions Cite Save More

Developments in Parsing Technology: From Theory to Application H Bunt, J Carroll, G Satta – New developments in parsing technology, 2005 – Springer … the robustness of the Data-Oriented Parsing (DOP) model within a Dutch speech-based dialogue system. … In the chapter Parsing and Hyper- graphs, Dan Klein and Chris Manning present a new view … and (c) visiting all nodes of an arc in a directed hypergraph before traversing … Related articles All 7 versions Cite Save

[BOOK] MEDINFO 2007: Proceedings of the 12th World Congress on Health (Medical) Informatics KA Kuhn, JR Warren, TY Leong – 2007 – books.google.com … The Nodes Focusing Tool for Clinical Course Data of Hypergraph Structure in the Ontological Framework CSX Output from POMR-Based EMR system Yasuyuki Hirose, Ryuichi Yamamoto and Shinichiro Ueda Ontology Based Modeling Integrating Descriptive, Functional and … Cited by 4 Related articles Cite Save

Exploiting click constraints and multi-view features for image re-ranking J Yu, Y Rui, B Chen – 2014 – ieeexplore.ieee.org … We adopt W to denote the diagonal matrix of the hyperedge weights. As mentioned in [36], hypergraphs can be applied to varied machine learning tasks, eg, classification, clustering, ranking and embedding. The hypergraph-based re-ranking framework can be defined as [35]: … Cited by 9 Related articles All 3 versions Cite Save

A decomposition algorithm for learning Bayesian networks based on scoring function M Zhu, S Liu – Journal of Applied Mathematics, 2012 – hindawi.com … They have been applied to a wide range of tasks such as natural spoken dialog systems, vision recognition, expert systems, medical diagnosis, and genetic regulatory network inference [1–5]. A BN consists of two important components: a directed acyclic graph (DAG … Cited by 2 Related articles All 9 versions Cite Save More

Dynamic dependence analysis: modeling and inference of changing dependence among multiple time-series MR Siracusa – 2009 – DTIC Document Page 1. Dynamic Dependence Analysis : Modeling and Inference of Changing Dependence Among Multiple Time-Series by Michael Richard Siracusa Submitted to the Department of Electrical Engineering and Computer Science in … Related articles All 6 versions Cite Save

Goals, arguments, and deception: A formal representation from the Aurangzeb project. I: An episode from the succession war E Nissan – Journal of Intelligent and Fuzzy Systems, 2007 – IOS Press … That project addressed the relation between truth and manipulative presentation. IMP may try to mislead on purpose, without actually lying. A dialog system, it impersonates a realtor, trying to rent moderately priced furnished rooms on the Hamburg market. … Cited by 7 Related articles All 3 versions Cite Save

Klaus A. Kuhn JR Warren, TY Leong – vbn.aau.dk … The Nodes Focusing Tool for Clinical Course Data of Hypergraph Structure in the Ontological Framework CSX Output from POMR-Based EMR system 741 Yasuyuki Hirose … A New Architecture for Health-Care Dialogue Systems 1063 LM Rojas-Barahona and T. Giorgino xvii … Related articles All 2 versions Cite Save More

Investigation of human-computer task markets: Methods and prototype D Shahaf, E Horvitz – 2009 – research.microsoft.com … As before, we first construct a hypergraph. A high-level task is a set of hy- peredges, corresponding to coalitions that can carry out one of the scenarios. … Complementary computing: Policies for transferring callers from dialog systems to human receptionists. … Cited by 1 Related articles All 2 versions Cite Save More

A Global Model for Concept-to-Text Generation. I Konstas, M Lapata – J. Artif. Intell. Res.(JAIR), 2013 – jair.org … automatically from a development corpus. Ratnaparkhi (2002) uses a dependency- style grammar of phrase fragments in the context of a dialogue system, incorporating among others long-range dependencies. More recently, Lu and … Cited by 1 Related articles All 3 versions Cite Save More

Joint models for concept-to-text generation I Konstas – 2014 – era.lib.ed.ac.uk … We present an im- plementation of our decoders using hypergraphs and evaluate it on four domains, … discriminatively reranking the hypergraph implementation presented in Chap- … This is more common in the NLG part of dialogue systems, which need to keep track of what … Related articles Cite Save

Natural Language Generation in the context of the Semantic Web N Bouayad-Agha, G Casamayor, L Wanner – Semantic Web, 2013 – IOS Press Page 1. UNCORRECTED PROOF Semantic Web 00 (20xx) 1–21 1 DOI 10.3233/SW-130125 IOS Press 1 52 2 53 3 54 4 55 5 56 6 57 7 58 8 59 9 60 10 61 11 62 12 63 13 64 14 65 15 66 16 67 17 68 18 69 19 70 20 71 21 72 22 73 23 74 24 75 25 76 26 77 27 78 28 79 29 80 30 … Cited by 1 Related articles All 3 versions Cite Save

N-gram posterior probability confidence measures for statistical machine translation: an empirical study A de Gispert, G Blackwood, G Iglesias, W Byrne – Machine Translation, 2013 – Springer … in ASR include utterance verification, correction of recognition results, detection or rejection of out-of-vocabulary words, and managing the flow of control in dialogue systems. … This algorithm is a lattice specialization of the hypergraph vector-indexed algorithm of DeNero et al. … Cited by 7 Related articles All 7 versions Cite Save

Linguistic structure prediction NA Smith – Synthesis Lectures on Human Language …, 2011 – 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 … Cited by 39 Related articles All 8 versions Cite Save

Concept Mining: A Conceptual Understanding based Approach S Shehata – 2009 – uwspace.uwaterloo.ca Page 1. Concept Mining: A Conceptual Understanding based Approach by Shady Shehata A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Doctor of Philosophy in Electrical and Computer Engineering … Cited by 2 Related articles All 3 versions Cite Save

Das Abstraktionsschichtenmodell für den integrierten Entwurf von Dialogen, Sichten, Funktionen und Schemata von Datenbankanwendungen B Thalheim – Database Design based on the Higher-Order …, 2013 – is.informatik.uni-kiel.de Page 130. Das Abstraktionsschichtenmodell für den integrierten Entwurf von Dialogen, Sichten, Funktionen und Schemata von Datenbankanwendungen Bernhard Thalheim? Inst. für Informatik, Brandenburgische Technische … Related articles All 2 versions Cite Save More

Standardization of the generation process in a multilingual environment J Cardeñosa, C Gallardo, E Tovar – Research on Computer Science, 2005 – cfilt.iitb.ac.in … The great dependency of the source language and the domain restrain the construction of multilingual dialogue systems and the reuse of these systems in other domains. 2.2 Machine translation systems … A UNL expression is an hyper graph consisting of: • Universal words. … Cited by 6 Related articles All 21 versions Cite Save More

Engineering General Intelligence, Part B Goertzel, C Pennachin, N Geisweiller – Springer Page 1. Engineering General Intelligence, Part 2 The CogPrime Architecture for Integrative, Embodied AGI Ben Goertzel Cassio Pennachin Nil Geisweiller Atlantis Thinking Machines Series Editor:K. – U. Kühnberger Page 2. Atlantis Thinking Machines Volume 6 Series editor … Related articles All 2 versions Cite Save

Methods for lean, precision-oriented, and targeted coreference resolution D Lindmark – 2012 – stp.lingfil.uu.se … Specifically, such applications may include systems for Information Extraction (IE), Passage Retrieval, Question Answering (QA), Automatic Sum- marization and Abstracting, Machine Translation (MT) and Dialogue Systems. … Related articles Cite Save More

Syntax and Parsing A Sarkar – cs.sfu.ca … semantic classes or “x IS-A y” relationships) [27], in speech recognition systems as lan- guage models (a language model assigns a probability to a candidate output sentence—syntax is useful in particular for disfluent or error-prone speech in- put) [18], dialog systems [31], text … Related articles All 4 versions Cite Save More

A Tribute In Loving Memory ID Tarabac – grad.stonybrook.edu Page 1. A TRIBUTE IN LOVING MEMORY Irina Diana Tarabac (1970-2007) Irina Diana Tarabac dedicated her life to learning, teaching, and science – the field of her choice being linguistics. Among many brilliant scholars and … Related articles All 4 versions Cite Save More

Recognizing emotions from in a point-light display T Idänheimo – 2010 – lib.tkk.fi Page 1. Timo Idänheimo Recognizing emotions from in a point-light display Master’s Thesis In Espoo, May 10th 2010 Supervisor: Instructor: AALTO UNIVERSITY SCHOOL OF SCIENCE AND TECHNOLOGY Faculty of Electronics … Related articles Cite Save More

On the effective deployment of current machine translation technology J González Rubio – 2014 – riunet.upv.es … The goal of NLP is to accomplish human-like language processing for a broad range of tasks or ap- plications, for instance information retrieval, information extraction, question answering, summarization, machine translation, dialog systems, etc. … Related articles Cite Save

Deliverable 4.1 Specification of user profiling and contextualisation D Tsatsou, M Loli, V Mezaris, R Klein, M Kober, T Kliegr… – 2012 – linkedtv.eu … contains explicit assumptions on all aspects of a user that might be relevant to the conduct of the dialogue system and its … employs graph theory methods to identify sets of nodes in folksonomies [VanderWal04], most commonly manifested as tripartite hypergraphs, in which node … Related articles Cite Save More

Towards More Desirable Segmentation via User Interactions Y Zhu – 2013 – preserve.lehigh.edu … 61 4.3 New Framework: Label Propagation on Hierarchical Hypergraphs . . . . 64 4.3.1 Hierarchical Hypergraph as Image Representation . . . . . 65 4.3.2 Label Propagation on the Hierarchical Hypergraph . . . . . 71 … Related articles All 2 versions Cite Save

Improved Evaluation and Parse Reranking for Combinatory Categorial Grammar D NG – 2010 – sydney.edu.au Page 1. Improved Evaluation and Parse Reranking for Combinatory Categorial Grammar DOMINICK NG SID: 307135365 Supervisor: Dr James R. Curran Associate Supervisor: Dr Matthew Honnibal This thesis is submitted … Related articles All 3 versions Cite Save

A multidisciplinary approach to highly autonomous UAV mission planning and piloting for civilian airspace IA McManus – 2005 – eprints.qut.edu.au Page 1. A Multidisciplinary Approach to Highly Autonomous UAV Mission Planning and Piloting for Civilian Airspace by Iain Andrew McManus B. Eng (AeroAv, Hons.), GradIEAust, MemAIAA Submitted to the Cooperative Research Centre for Satellite Systems … Cited by 9 Related articles All 3 versions Cite Save

Towards CSpaces: A new perspective for the Semantic Web F Martin-Recuerda – Industrial Applications of Semantic Web, 2005 – Springer … [24] and [16] propose alternative approaches to combine the advantages of GAV and LAV. The former, called “both-as-view” (BAV), is built on top of a low level hyper-graph-based data model (HDM) and a set of primitive schema transformations for this model. … Cited by 22 Related articles All 5 versions Cite Save

M-Eco enhanced Adaptation Service (D5. 3) RG Lage, M Leginus, P Dolog, F Durao, R Pan… – 2012 – vbn.aau.dk Page 1. M-Eco Adaptive Tuning and Personalization (D5.3) Project title: Medical Ecosystem – Personalized Event-Based Surveillance Project acronym: M-Eco Project number: 247829 Project instrument: EU FP7 Small or Medium … Related articles All 3 versions Cite Save More

A semantic framework for social search J Stan – 2011 – theses.fr … edge. Numerous applications of such systems exist for example in the area of natural language understanding and dialogue systems, in computer-based educational systems and online learning environments, in systems for computer supported collaboration and recommender … Cited by 1 Related articles All 5 versions Cite Save

M-Eco enhanced Adaptation Service (D5. 2) P Dolog, F Durao, RG Lage, M Leginus, R Pan – 2012 – vbn.aau.dk Page 1. M-Eco enhanced Adaptation Service (D5.2) Project title: Medical Ecosystem – Personalized Event-Based Surveillance Project acronym: M-Eco Project number: 247829 Project instrument: EU FP7 Small or Medium-scale … Related articles All 2 versions Cite Save More

Integrated supertagging and parsing M Auli – 2012 – era.lib.ed.ac.uk … chine translation (Auli, 2009). CCG is also suitable for incremental processing of language from left to right and has been used in this way for dialogue systems (Kruijff et al., 2007). Further applications include building semantic interpretations (Bos et al., … Cited by 1 Related articles All 4 versions Cite Save

Document clustering on target entities using persons and organizations KEIJ MING, J RAPHAEL – 2004 – scholarbank.nus.sg … essential. Several new approaches have emerged to group or cluster Web pages. These include association rule hyper-graph partitioning, principal direction divisive partitioning [12], and suffix tree clustering [14]. The Scatter/Gather technique [14] … Related articles All 3 versions Cite Save