Parse Tree & Dialog Systems 2013

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Parse Tree & Dialog Systems 2011 | Parse Tree & Dialog Systems 2012 | Parse Tree & Dialog Systems 2014

Using a knowledge graph and query click logs for unsupervised learning of relation detection D Hakkani-Tur, L Heck, G Tur – Acoustics, Speech and Signal …, 2013 – … Furthermore, we enhance our data with web search queries which are inquiring similar information as dialog system users. 3.1. … Then we convert the output parse trees to de- pendency parses using the LTH Constituency-to-Dependency Con- version toolkit6 [16]. … Cited by 4 Related articles All 5 versions Cite Save

Hierarchical discriminative model for spoken language understanding J Svec, L Smidl, P Ircing – Acoustics, Speech and Signal …, 2013 – … If the recognition and understanding per- formance is poor, the whole dialog could consist of many misunder- standings and the dialog system would be unusable. … are trained it is possible to predict the posterior probabilities P(tA|d(u)) = P(A ? ?|u). Given the parse tree ? and … Cited by 3 Related articles Cite Save

Clarifying commands with information-theoretic human-robot dialog R Deits, S Tellex, P Thaker… – Journal of Human …, 2013 – … argmax g1…gN p(?1 = g1 …?N = gN |?,m) (1) A random variable ?i is created for each linguistic constituent in the parse tree of the natural language input ?. … The ?i variables correspond to the text associated with each constituent in the parse tree. … Cited by 3 Related articles All 7 versions Cite Save

Evaluation of the Scusi? spoken language interpretation system–A case study T Kleinbauer, I Zukerman… – … –Proceedings of the 6th …, 2013 – … Each text is assigned a prob- ability given the speech wave. The second stage applies Charniak’s probabilistic parser (bllip. to syntactically analyze the texts in order of their probability, yielding at most 50 different parse trees per text. … Cited by 2 Related articles All 5 versions Cite Save More

Conditional Random Fields for Responsive Surface Realisation Using Global Features N Dethlefs, H Hastie, H Cuayáhuitl… – Proceedings of ACL, …, 2013 – … In interactive settings such as gen- eration within a spoken dialogue system (SDS), a … 7: Traverse the parse tree in a top-down, depth-first search and 8: if expansion ? exists then 9: continue 10: else if non-terminal ? exists then 11: add new expansion ? to ?. … Cited by 2 Related articles All 10 versions Cite Save More

Kernel-Based Discriminative Re-ranking for Spoken Command Understanding in HRI R Basili, E Bastianelli, G Castellucci, D Nardi… – AI* IA 2013: Advances in …, 2013 – Springer … In Natural Language Processing, re-ranking has been largely used such as in parse tree re-ranking [3] to improve the … 14], where joint modeling of speech recognition and language understanding through a perceptron classifier is de- fined in a conversational dialogue system. … Cited by 1 Related articles All 2 versions Cite Save

Knowledgeable talking robots LC Aiello, E Bastianelli, L Iocchi, D Nardi… – Artificial General …, 2013 – Springer … Speaky side, the command is correctly recognized and parsed by the Semantic Analyzer; the resulting frame object and parse tree are transmitted … Nisimura, R., Uchida, T., Lee, A., Saruwatari, H., Shikano, K., Matsumoto, Y.: Aska: receptionist robot with speech dialogue system. … Cited by 1 Related articles All 4 versions Cite Save

A noisy channel approach to error correction in spoken referring expressions SN Kim, I Zukerman, T Kleinbauer… – Proceedings of the 6th …, 2013 – … Geertzen (2009) used a shallow parser to de- tect semantic units only when a dependency parser failed to produce a parse tree. … The third stage applies mapping rules to the parse trees to generate concept graphs (Sowa, 1984) that represent the semantics of the utterance. … Cited by 1 Related articles All 5 versions Cite Save More

Question Classification Transfer AL Ligozat – 2013 – … Part-of-speech information only was used, but since (Zhang and Lee, 2003) showed that best re- sults are obtained with parse trees and tree kernels, it … Combination of stochastic under- standing and machine translation systems for lan- guage portability of dialogue systems. … Cited by 1 Related articles All 7 versions Cite Save More

On Grounding Natural Kind Terms in Human-Robot Communication J Peltason, H Rieser, S Wachsmuth, B Wrede – KI-Künstliche Intelligenz, 2013 – Springer … pattern is triggered if the parse tree contains an ObjectDescription nonterminal, and a greeting is trig- gered if the parse tree contains a Greeting nonterminal but no task-related nonterminal. Furthermore, pattern selection is context-sensitive: the dialogue system’s expectations in … Cited by 2 Related articles All 3 versions Cite Save

Exploiting ontology lexica for generating natural language texts from RDF data P Cimiano, J Lüker, D Nagel, C Unger – 2013 – … This resulted in 20000 different phrase structure trees where the leafs were replaced by lists of all terms oc- curring at that position in the parse tree. … Die (0.60) Das (0.18) Den (0.21) … Figure 4: Example of a parse tree extracted from the corpus, annotated with leaf proba- bilities … Cited by 1 Related articles All 8 versions Cite Save More

Incremental and Predictive Dependency Parsing under Real-Time Conditions A Köhn, W Menzel – Proceedings of RANLP, 2013 – … For a syntactic parser to contribute to an incre- mental dialogue system or any other incremental NLP application, it also needs to work incremen … how often is the newest word attached correctly?) and the final accuracy (how many attachments are correct in the parse trees for the … Cited by 1 Related articles All 5 versions Cite Save More

Analyzing Effects of Filled Pauses and Silences in Responses of a Spoken Dialogue System K OHTA, N KITAOKA, S NAKAGAWA – … To achieve this, we will ex- pand upon our previously proposed model for the in- sertion of filled pauses[16] and silence[17] for spoken dialogue systems considering longer range features. Parse trees and dependency trees will be introduced to the model to capture the … Related articles Cite Save More

Predicting Tasks in Goal-Oriented Spoken Dialog Systems using Semantic Knowledge Bases A Pappu, AI Rudnicky – … number five units meters Figure 1: Illustration of Semantic Parse Tree used in a Dialog System 243 Page 3. 2.1 Grammar: A Knowledge Resource Grammar is a very useful resource for a dialog sys- tem because it could potentially represent an ex- pert’s view of the domain. … Related articles All 7 versions Cite Save More

In-Context Evaluation of Unsupervised Dialogue Act Models for Tutorial Dialogue A Ezen-Can, KE Boyer – … This paper focuses on dialogue act classification for student utterances, since in a tutorial dialogue system the tutor dialogue acts are system-generated. … In the current work we add to the feature vectors the first level of the parse tree as provided by the Stanford parser (Klein & … Related articles All 7 versions Cite Save More

Query understanding enhanced by hierarchical parsing structures J Liu, P Pasupat, Y Wang, S Cyphers… – … (ASRU), 2013 IEEE …, 2013 – … we present a query understanding approach that leverages linguistic parsing knowledge by extracting hierarchical syntactic features and semantic dependency features from domain-independent parse trees. … ASGARD: A Portable Architecture for Multilingual Dialogue … Related articles All 4 versions Cite Save

Automatic Human Utility Evaluation of ASR Systems: Does WER Really Predict Performance? B Favre, K Cheung, S Kazemian, A Lee, Y Liu… – 2013 – … Let T be the constituent parse tree generated by the Berkeley parser [9] over the transcript of the dialog act, and T n = {t … Sanders and Le [14] studied the effects of speech recognition accuracy on dialog systems, and found a high correlation between WER and task completion … Related articles All 3 versions Cite Save More

Capturing assertions from natural language descriptions IG Harris – Natural Language Analysis in Software Engineering …, 2013 – … 17. Parse tree created from an AXI assertion C. Limitations of the Approach The range of English expression which our system can process is limited by the attribute grammar which we have defined. … GUS, a frame driven dialog system. Morgan Kaufmann Publishers Inc., 1986. … Related articles Cite Save

Natural Language Query Refinement for Problem Resolution from Crowd-Sourced Semi-Structured Data R Gangadharaiah, B Narayanaswamy – … Natural Language Question Generation: We demonstrate that, in a dialog system it is … While the phrasing is dif- ferent, we see that their dependency parse trees (Figure 2) show a common relation between the verb or action, fail, and the attribute sync server (the base form of the … Related articles All 5 versions Cite Save More

Adaptable Controlled Natural Languages for Online Query Systems F Hasibi – 2013 – … overview%of%multilingual%travel%planning%dialogue%system% As%a%multi7lingual%system, %the%system%responses%should%be%presented%in%dif7 ferent%languages.%Accordingly,% system%answers%are%constructed%by%linearizing% parse%trees%to%target … All 3 versions Cite Save

Intelligent Sentence Writing Tutor: A System Development Cycle M Dodigovic – International Journal of Artificial Intelligence in …, 2013 – IOS Press … communicative language learning approach, although it is known from the literature (Jokinen & McTear, 2010) that system users do not always prefer a simulation of natural language dialog, but might prefer more “computer-like” output, consisting mainly of parse-trees and short … Related articles Cite Save

Joint Parsing and Disfluency Detection in Linear Time MS Rasooli, J Tetreault – … We use the attachment accuracy of the parse tree of the correct sentences (without disfluencies) as the upper-bound attachment score and … Such a parser is useful for spoken dialogue systems which typically encounter disfluent speech and require accurate syntactic structures. … Related articles All 6 versions Cite Save More

A Distributed Multi-Session Dialog Manager with a Dynamic Grammar Parser V Catania, R Di Natale, AR Intilisano, A Longo – … At the end of the process the chart consists of a sequence of slots containing the semantic parse tree of the sequence of input words. Figure 5: Parser pipeline 1) Description The Olympus framework helps to design, to implement and to test spoken dialog systems and … Related articles All 2 versions Cite Save More

“Can you give me another word for hyperbaric?”: Improving speech translation using targeted clarification questions NF Ayan, A Mandal, M Frandsen… – … , Speech and Signal …, 2013 – … ambiguity, and informality of natural spoken language have a significant negative impact on the overall per- formance of existing dialog systems. … of multiple sentences has been studied in the context of sum- marization, by aligning and merging dependency parse trees with rule … Cited by 1 Related articles All 4 versions Cite Save

Multimodality and Dialogue Act Classification in the RoboHelper Project L Chen, B Di Eugenio – … Syntactic features: The top node and its first two child nodes from the sentence parse tree. … However, dif- ferent from other sequence labeling problems such as part-of-speech tagging, a dialogue system can- not wait until the whole dialogue ends to classify the current DA. … Related articles All 7 versions Cite Save More

Semantically Tractable Questions: Theory and Experiments (Draft) AM Popescu, O Etzioni, H Kautz – … to language understanding differs from that of other natural language systems such as spo- ken language dialog systems [33], tutorial … Examples of intermediate representations in such spaces include parse trees and surface-based semantic labels ([14]), feature sets ([9]) or … Related articles All 2 versions Cite Save More

Semantically Tractable Questions: Theory and Experiments AM Popescu, O Etzioni, H Kautz – … Our approach to language understanding differs from that of other natural language systems such as spoken language dialog systems [22], tutorial systems [7], etc … a function from pairs of words to TRUE or FALSE, based on whether the words are attached in the parse tree or not … Related articles All 2 versions Cite Save More

Semantic role labelling as SFL transitivity analysis E Costetchi – ESSLLI Student Session 2013 Preproceedings, 2013 – … For example, current state of the art in dialogue systems is still a domain-dependent. This problem is well described by Winograd [31]. … This resembles the capabilities of tregex [18] but applied on dependency graphs and not on parse trees. … Related articles All 4 versions Cite Save More

ASR error segment localization for spoken recovery strategy F Béchet, B Favre – Acoustics, Speech and Signal Processing ( …, 2013 – … However, most de- ployed dialog systems rely on domain specificity to constrain the concepts which can be corrected, an hypothesis that must … Sentence fusion has been cast as a parse tree fusion problem with rules [16, 17] and language model rescoring, or machine learning … Cited by 2 Related articles All 2 versions Cite Save

Incremental Tree Substitution Grammar for Parsing and Sentence Prediction F Sangati, F Keller – … translation (Schwartz et al., 2011; Tan et al., 2011), reading time modeling (Demberg and Keller, 2008), or dialogue systems (Stoness et al … This property enables our incremental TSG parser to generate partial parse trees that include predictions about the upcoming words in a … Related articles All 6 versions Cite Save More

Patent Translation within the MOLTO Project Cristina España-Bonet Ramona Enache Adam Slaski Aarne Ranta L Màrquez, M Gonzàlez – Frontiers of Multilingual Grammar …, 2013 – … Up to now, GF has been applied in several small-to-medium size domains such as dialogue systems 2 or the translation of mathematical … one with non-trivial coverage usually are ambiguous, the num- ber of the interpretations is the product of the number of parse trees for each … Related articles All 3 versions Cite Save More

Using semantic fields to model dynamic spatial relations in a robot architecture for natural language instruction of service robots J Fasola, MJ Mataric – … Robots and Systems (IROS), 2013 IEEE/ …, 2013 – … 143 Page 2. robot cooperation tasks [5], and for visually situated dialogue systems [11]. … For example, the path for to, as described earlier, relies on a (a) (b) Figure 4. (a) Parse tree for “Go to the table by the kitchen”; (b) Semantic field for ‘near kitchen’ with candidate tables. 146 … Cited by 3 Related articles All 2 versions Cite Save

From query to question in one click: suggesting synthetic questions to searchers G Dror, Y Maarek, A Mejer, I Szpektor – Proceedings of the 22nd …, 2013 – … step. 3.2.2 Reranking Features We parse each candidate question at two granularity levels: each word is tagged with a part of speech (POS) tag, and the dependency parse tree of the question is generated. … Parse Tree Score. An … Cited by 1 Related articles All 3 versions Cite Save

Recurrent convolutional neural networks for discourse compositionality N Kalchbrenner, P Blunsom – arXiv preprint arXiv:1306.3584, 2013 – … Composition oper- ations like those in the structured models that are guided by the syntactic parse tree of the sentence capture this trait. … The automated recog- nition of dialogue acts is crucial for dialogue state tracking within spoken dialogue systems (Williams, 2012). … Cited by 4 Related articles All 6 versions Cite Save

Development & evaluation of multilingual multimodal dialogue systems on mobile devices N Tsourakis – 2013 – Thesis Reference Development & evaluation of multilingual multimodal dialogue systems on mobile devices TSOURAKIS, Nikolaos … TSOURAKIS, Nikolaos. Development & evaluation of multilingual multimodal dialogue systems on mobile devices. Thèse de doctorat : Univ. … Related articles Cite Save

Automatic speech recognition in the diagnosis of primary progressive aphasia K Fraser, F Rudzicz, N Graham, E Rochon – … Simulated ASR errors have been used in various con- texts, such as training dialogue systems [2] and for testing the safety of … In previous work using manual transcripts, researchers have also examined measures which can be derived from parse trees, such as Yngve depth, or … Related articles All 8 versions Cite Save More

Automated Short Answer Scoring C Brew, C Leacock – Handbook of Automated Essay Evaluation: …, 2013 – … responses. As a first step, the responses are parsed to identify grammatical relations within each sentence. Features that identify grammatical and semantic roles are then automatically extracted from the parse trees. These are … Cited by 3 Related articles Cite Save

“The hand is no banana!” On communicating natural kind terms to a robot J Peltason, H Rieser, S Wachsmuth… – … : Towards a new …, 2013 – … also the illustration of the object demonstration pattern in Figure 3): –The user produces an utterance the parse tree of which contains the non-ter- minal object-description. Thus, the dialogue system interprets the user’s utter- ance as an object demonstration and activates the … Related articles All 2 versions Cite Save

A model for synthesizing a combined verbal and nonverbal behavior based on personality traits in human-robot interaction A Aly, A Tapus – Proceedings of the 8th ACM/IEEE international …, 2013 – … Later on, some researches tried to illustrate how the dialogue systems that are adapted to the user’s model (including the ability to … Figure (3). The language tagging module receives an XML tagged text generated from PERSONAGE, and converts it into a parse tree with different … Cited by 4 Related articles All 2 versions Cite Save

Identification of discriminative features for biological event extraction through linguistically informed feature selection X Zhang, J Xia, J Webster, AC Fang – Journal of Food, Agriculture & …, 2013 – … set, Token, includes features containing information about tokens, ie the path of the token in the parse tree (tokenPath_Binding_Entity), the … The authors would like to thank the Dialogue Systems Group at the Department of Chinese, Translation and Linguistics, City University of … All 2 versions Cite Save More

Using Application-Specific Ontologies to Generate Grammar Rules in English, Hindi, and Spanish for a Web Interface P Paliwal – 2013 – … The translator first transforms parse tree into QueryTriple which is mapped to OntoQuery by the help of lexicon in query processing … EC research project, is a generic platform which assists in developing the user-friendly multilingual and multimodal dialogue systems (Hamerich et … Cite Save

Improving an Existing Natural Language Bus Route Information System: Adding Support for Geographic Expansion and Visualization in Maps MQ Wollamo – 2013 – … Let’s Go is an example of a spoken dialog system that aims to improve the pronouncement for the elderly and non-native speakers in order to provide bus information to the Pittsburgh area. A spoken dialog system has also been … Related articles All 3 versions Cite Save

Using Plan Recognition for Interpreting Referring Expressions DA Smith, H Lieberman – Workshops at the Twenty-Seventh AAAI …, 2013 – … that requires the appropriate substitution or adjunction site for the word’s elementary tree and effects that describe its semantic con- tent and syntactic constraints.4 The goal-test function veri- fies that the state’s syntax is a proper LTAG tree (a single parse tree without any … Related articles All 7 versions Cite Save

Modeling dynamic spatial relations with global properties for natural language-based human-robot interaction J Fasola, MJ Mataric – RO-MAN, 2013 IEEE, 2013 – … Similarly, the use of computational fields for static relations was implemented in a visually situated dialogue system by Kelleher and Costello [15]. … After the syntax of the instruction has been determined, the parse tree is passed on to the grounding module which attempts to … Cited by 3 Related articles All 2 versions Cite Save

Fuzzy Matching of Semantic Class in Chinese Spoken Language Understanding LI Yanling, Z Qingwei… – IEICE TRANSACTIONS on …, 2013 – … Thus, the performance of spoken dialog systems not only relies on the accuracy of recognition achieved by ASR, but also the semantic entity … most SLU systems use grammar- based parsers to extract key semantic information, which translate a sentence into a parse tree[4]. Data … Related articles All 4 versions Cite Save

Inducing Document Plans for Concept-to-text Generation I Konstas, M Lapata – … Finally, we replace the leaf EDUs with their respective terminal symbols R(rt) ? ?R (Figure 3e) and collect the resulting grammar productions; their weights are calculated via maximum likelihood estimation based on their collective counts in the parse trees licensed by GRST . … Related articles All 5 versions Cite Save More

Automatic generation of multiple choice questions using dependency-based semantic relations N Afzal, R Mitkov – Soft Computing, 2013 – Springer … question generation has the potential to be employed in various areas such as intelligent tutoring systems, dialogue systems (Walker et al. … Their approach mainly relied on parse tree manip- ulation, named entity recognition and Up-keys (significant phrases in a document) to … Related articles Cite Save

Incrementally biasing visual search using natural language input E Krause, R Cantrell, E Potapova, M Zillich… – Proceedings of the …, 2013 – Page 1. Incrementally Biasing Visual Search Using Natural Language Input Evan Krause1, Rehj Cantrell2, Ekaterina Potapova3, Michael Zillich3, Matthias Scheutz1 Tufts University1 Medford, MA USA {ekrause, mscheutz} … Cited by 2 Related articles All 5 versions Cite Save

Learning dependency-based compositional semantics P Liang, MI Jordan, D Klein – Computational Linguistics, 2013 – MIT Press Cited by 93 Related articles All 27 versions Cite Save

Semantic Analysis of Natural Language and Definite Clause Grammar using Statistical Parsing and Thesauri B Dagerman, B Akan, B Çürüklü – 2013 – … can be shifted to the statistical parser, allowing the early termination of parses where further traversing the parse tree would not … Agent/dialogue systems use Semantic-based Conversational Agents (SCAF) to interact with users through dialogue, often with scripted responses [23 … Related articles Cite Save More

A corpus study of clause combination O Nikitina, S Padó – … experiments. 2.1 Operationalizing Subordination and Coordination For the analysis, we need to define subordination and coordination constructions in terms of Penn Treebank parse trees and other layers of corpus annotation. For … Related articles All 6 versions Cite Save More

Speech-enabled Systems for Language Learning A Tewari – 2013 – … 51 4.8 Percentage of questions that are outside scope across activities. . . . . 52 5.1 Sample features from a parse tree used when clustering by syntax. . . . . 59 5.2 Sample graphical model of a context. . . . . … Cited by 1 Related articles All 3 versions Cite Save More

Complex Aggregates In Natural Language Interface To Databases MA Gupta – 2013 – … After an initial survey of the previous work in Dialogue Systems, we decided that the first step to creating such an application would be to develop an interface which accepts a … The parse trees so produced are mapped to semantic relations using domain specific semantic frames … Cite Save More

Latent mixture of discriminative experts D Ozkan, LP Morency – Multimedia, IEEE Transactions on, 2013 – Page 1. Copyright (c) 2011 IEEE. Personal use is permitted. For any other purposes, permission must be obtained from the IEEE by emailing This article has been accepted for publication in a future issue of this journal, but has not been fully edited. … Cited by 4 Related articles All 5 versions Cite Save

Learning to interpret spatial natural language in terms of qualitative spatial relations PARISA KORDJAMSHIDI, JOANA HOIS, MARTIJN VAN OTTERLO MF MOENS – Representing Space in Cognition: Interrelations of …, 2013 – … This learning procedure can exploit any set of linguistic features that can be extracted from the sentences (eg dependency structure or parse tree) or from external resources, and—based on appropriately selected features—generalize to unseen sentences. … All 2 versions Cite Save

Semantic Relations Between Nominals V Nastase, P Nakov, DÓ Séaghdha… – Synthesis Lectures on …, 2013 – … 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 1 Related articles All 3 versions Cite Save More

Asking for Help Using Inverse Semantics S Tellex, RA Knepper, A Li, TM Howard, D Rus, N Roy – … ?2 Figure 4: Grounding graph for the request, “Pick up the table leg.” Random variables and edges are created in the graphical model for each constituent in the parse tree. The ? variables correspond to lan- guage; the ? variables correspond to groundings in the external world. … Related articles Cite Save More

Multilingual joint parsing of syntactic and semantic dependencies with a latent variable model J Henderson, P Merlo, I Titov, G Musillo – 2013 – MIT Press … 2011), dialogue systems (Basili et al. … semantic task of semantic role labeling (SRL) as a classification problem, where the semantic role to be assigned to each constituent is inferred on the basis of its co-occurrence counts with syntactic features extracted from parse trees. … Related articles All 6 versions Cite Save

Direct Probabilistic Semantics: A Contextualist Formal Semantic Model JC Kanis – 2013 – Page 1. Direct Probabilistic Semantics A Contextualist Formal Semantic Model master thesis Cognitive Artificial Intelligence Universiteit Utrecht 45 ECTS Jan Kanis student number 0339954 Tuesday 27th August, 2013 primary supervisor: Albert Visser … Related articles Cite Save

Speech-to-speech translation to support medical interviews JASG Rodrigues – 2013 – Page 1. UNIVERSIDADE DE LISBOA Faculdade de Ciências Departamento de Informática SPEECH-TO-SPEECH TRANSLATION TO SUPPORT MEDICAL INTERVIEWS Jo˜ao Ant´onio Santos Gomes Rodrigues PROJETO MESTRADO EM ENGENHARIA INFORM´ATICA … Cite Save

State-of-the-Art in Sentiment Analysis of Short Informal Texts S Kiritchenko, X Zhu, SM Mohammad – … Eichstaedt, Kern, Dziurzynski, Lucas, Agrawal, Park, Lakshmikanth, Jha, Seligman, & Ungar, 2013), and improving au- tomatic dialogue systems (Velásquez, 1997 … The recursive deep models work in a bottom-top fashion over a parse-tree structure of a sentence to infer the … Related articles Cite Save More

[BOOK] Intuitive ontology authoring using controlled natural language R Denaux – 2013 – … 157 5.2.5 Implementation of Dialogue Systems . . . . . 158 … The input is a file containing Rabbit sentences and the output is a parse tree that gives access to the information found by the Pro- cessing Resources (ie the POS of each word, whether a phrase is … Related articles All 3 versions Cite Save

Characteristics and heuristics of human intelligence DMW Powers – … Intelligence for Human-like Intelligence (CIHLI), …, 2013 – … A simple example explored representations of verbs like ‘jumps’ or prepositions like ‘over’ by correlating the occurrence of words in a syntactic subject-verb-object parse tree with a sequence of associated spatiotemporal frames in the simulated robot world (in English and … Related articles All 4 versions Cite Save

Recognizing Textual Entailment: Models and Applications I Dagan, D Roth, M Sammons… – Synthesis Lectures on …, 2013 – … Data-Intensive Text Processing with MapReduce Jimmy Lin and Chris Dyer 2010 Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Page 7. v … Cited by 2 Related articles All 2 versions Cite Save More

Anaphora Resolution in Portuguese An hybrid approach JS Marques – 2013 – … 37 5.2 Parse tree produced by STRING that shows two articles as nodes not incorporated in a NP or PP. . 40 5.3 STRING correctly identifies primeiro asanadverb. … tions such as information extraction, machine translation, text summarization, or dialogue systems. Among many … Cite Save More

EXCITEMENT open platform: Architecture and Interfaces TG Noh, S Pado, A Stern, O Bronstein, R Wang… – 2013 – … Thus, within UIMA, each components capabilities can be described in terms of CAS; what it needs in the CAS to operate (for example, a parser might need the result of a POS tagging step), and what it will add on the CAS after the processing (like a dependency parse tree). … Related articles All 2 versions Cite Save More

Survey and guidelines for the representation and annotation of dialogue DRAFT| FOR RESTRICTED DISTRIBUTION ONLY G rey Leech, M Weisser, A Wilson, M Grice – … become clear that this division of interest can no longer be maintained: many of the most forward-looking and challenging applications of LE today (eg high-quality speech synthesis, large-vocabulary speech recognition, speech-to-speech translation, dialogue systems) in- volve … Related articles Cite Save More

Mesures de similarité distributionnelle asymétrique pour la détection de l’implication textuelle par généralité S Pais – 2013 – Page 1. T H È S E INSTITUT DES SCIENCES ET TECHNOLOGIES École doctorale n°432: SMI – Sciences des Métiers de l’Ingénieur Doctorat ParisTech TH È SE pour obtenir le grade de docteur préparée dans le cadre d’une cotutelle entre … Cite Save

Computational Linguistics Resources for Indo-Iranian Languages SM Virk – 2013 – Page 1. Thesis for the degree of Doctor of Philosophy Computational Linguistics Resources for Indo-Iranian Languages Shafqat Mumtaz Virk Department of Computer Science and Engineering Chalmers University of Technology … Related articles All 3 versions Cite Save More

Automatic Generation of Factual Questions from Video Documentaries Y Skalban – 2013 – … identification, and (4) question construction. Question Generation is an important component in dialogue systems, virtual environments, and learning technologies such as Intelligent Tutoring Systems, inquiry-based environments, and instructional games.” … Cite Save

A Graph-Based Approach to String Regeneration M Horvat, W Byrne – 2013 – … Other systems that generate text, such as abstract-like text Summarisation systems, Question Answering sys- tems, and Dialogue Systems, suffer from the same problem (Soricut and Marcu, 2005). The string regeneration problem is therefore often used as … Related articles All 2 versions Cite Save More

A Survey of Commonsense Knowledge Acquisition LJ Zang, C Cao, YN Cao, YM Wu… – Journal of Computer …, 2013 – Springer Page 1. Zang LJ, Cao C, Cao YN et al. A survey of commonsense knowledge acquisition. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 28(4): 689-719 July 2013. DOI 10.1007/s11390-013-1369-6 A Survey of Commonsense Knowledge Acquisition … Cited by 1 Related articles All 6 versions Cite Save

On Applying Controlled Natural Languages for Ontology Authoring and Semantic Annotation BP Davis – 2013 – Page 1. On Applying Controlled Natural Languages for Ontology Authoring and Semantic Annotation Brian Patrick Davis Submitted in fulfillment of the requirements for the degree of Doctor of Philosophy PRIMARY SUPERVISOR: Prof. … Cite Save

A new benchmark dataset with production methodology for short text semantic similarity algorithms J O’shea, Z Bandar, K Crockett – ACM Transactions on Speech and …, 2013 – … 2.3.1. Systems-Level Evaluation. In dialog systems, the worth of an STSS measure could be measured indirectly through the performance of a system in which it is embedded. … 2005]. The PARADISE framework for evaluating complete dialog systems [Walker et al. … Related articles Cite Save

Socially Assistive And Service Robotics For Older Adults: From Motivating Exercise To Following Spatial Language … JP Fasola – 2013 – Page 1. SOCIALLY ASSISTIVE AND SERVICE ROBOTICS FOR OLDER ADULTS: FROM MOTIVATING EXERCISE TO FOLLOWING SPATIAL LANGUAGE INSTRUCTIONS by Juan P. Fasola Ph.D. Dissertation Proposal July, 2013 Guidance Committee Maja J Matari? … Cite Save More