Stanford Parser & Dialog Systems


The Stanford Parser: A statistical parser

Notes:

  • DRUM (Deep Reader for Understanding Mechanisms)

See also:

Best Stanford NLP VideosStanford NLP & Dialog Systems | Statistical Parser & Dialog Systems


Ontology and parser dependencies approach for spoken dialogue system MS Yakoub, SA Selouani… – Signal Processing and …, 2014 – ieeexplore.ieee.org … spoken dialogue system (MOBILE SDS) based on parser dependencies and ontology. The turn (semantic) analysis algorithm integrated in the spoken dialogue understanding (SLU) module uses, at each turn of the dialogue, the dependencies generated by Stanford parser and …

Mobile spoken dialogue system using parser dependencies and ontology MS Yakoub, SA Selouani, R Nkambou – International Journal of Speech …, 2015 – Springer … In this paper, we propose a mobile spoken dialogue system with a new spoken dialogue understanding architecture (SLU … The turn analysis algorithm integrated in the SLU module uses, at each turn of the dialogue, the dependencies generated by Stanford parser and a domain …

Relationship between Student Writing Complexity and Physics Learning in a Text-Based ITS R Freedman, D Krieghbaum – Intelligent Tutoring Systems, 2014 – Springer … The third measure was the average number of subordinate clauses per essay, implemented as the number of SBARs generated by the Stanford parser. … Morgan Kaufman, San Mateo (1992) 2. Litman, D., Silliman, S.: ITSPOKE: An Intelligent Tutoring Spoken Dialogue System. … Related articles

Affective-cognitive dialogue act detection in an error-aware spoken dialogue system WB Liang, CH Wu, MH Sheng – Signal and Information …, 2013 – ieeexplore.ieee.org … For a spoken dialogue system, the misunderstanding can be made by mis- recognition from an imperfect automatic speech recognition (ASR) component or … using the linguistic features of PET, including word n-grams and syntactic rules obtained from the Stanford parser [25]. … Cited by 1 Related articles All 3 versions

TechWare: Spoken Language Understanding Resources [Best of the Web] G Tur, YY Wang, D Hakkani-Tur – Signal Processing Magazine, …, 2013 – ieeexplore.ieee.org … SLU OveRvIeW At a very high level, the basic compo- nents of a spoken dialog system are shown in Figure 1. The goal of … named entity extraction, one can use an already available parser, which supports monocase and lack of punctuation (eg, the Stanford parser: http://nlp … Related articles All 16 versions

Semi-automatic Lexicalized Tree Adjoining Grammar Extraction towards Natural Language Generation W Qiu, T Yao – 2015 International Conference on Automation, …, 2015 – atlantis-press.com … It’s mainly due to that some outputs of the stanford parser are not consistent and contain a lot of errors especially for long sentence. … [3] D DeVault, David Traum, and Ron Artstein. Making grammar-based generation easier to deploy in dialogue systems. … Related articles All 2 versions

Assign Stress for Interrogative Sentences via Syntax Structure Mapping Y Li, X Liu, X Xu, J Tao – Speech Prosody 2012, 2012 – sprosig.isle.illinois.edu … to the prosody study in statement-like sentence, little research has been conducted in interrogative sentence, which will definitely improve the naturalness of spoken dialog system. … The dependency syntax is adopted in this work and automatically obtained by Stanford Parser. … Related articles All 3 versions

Response Generation in Dialogue using a Tailored PCFG Parser CYXWQ He – ENLG 2015, 2015 – aclweb.org … We demonstrate the versatility and effectiveness of our method on response generation for a Chinese spoken dialogue system (SDS) 1. 2 Problem … concrete example, consider the record in Table 1. We first analyze its sentence expres- sion using the Stanford parser (Chen and …

Leveraging semantic web search and browse sessions for multi-turn spoken dialog systems L Wang, L Heck, D Hakkani-Tur – Acoustics, Speech and Signal …, 2014 – ieeexplore.ieee.org … 1. Example fragments of a web search and browse session (S1) and a spoken dialog system session (S2). Ti/Ui represents the ith turn/utterance in web search/dialog. … For syntactic features, POS tag, NER tag, and dependency relation output by Stanford parser [23] are used. … Cited by 8 Related articles All 9 versions

Towards a hybrid NLG system for Data2Text in Portuguese JC Pereira, A Teixeira, JS Pinto – Information Systems and …, 2015 – ieeexplore.ieee.org … BAGEL – was presented in [7]. It is designed to produce natural utterances within a large dialogue system domain. Another purpose is minimizing the development effort. … Experiences were made with TreeTagger [11] and Stanford Parser [12]. … Cited by 1

Generating Recommendation Dialogs by Extracting Information from User Reviews. K Reschke, A Vogel, D Jurafsky – ACL (2), 2013 – aclweb.org … 1 Introduction Recommendation dialog systems have been devel- oped for a number of tasks ranging from product search to restaurant … syn- tactic dependency parses (Blair-Goldensohn et al., 2008; Somasundaran and Wiebe, 2009) generated by the Stanford parser (Klein and … Cited by 8 Related articles All 16 versions

Jointly Modeling Inter-Slot Relations by Random Walk on Knowledge Graphs for Unsupervised Spoken Language Understanding YN Chen, WY Wang, AI Rudnicky – … of the 2015 Conference of the …, 2015 – researchgate.net … adaptation process computes the prominence of slot candidates for ranking and then selects a list of in- duced slots associated with their corresponding se- mantic decoders for use in domain-specific dialogue systems, where the … We use Stanford Parser to obtain the collapsed … Cited by 5 Related articles All 2 versions

Using syntactic and confusion network structure for out-of-vocabulary word detection A Marin, T Kwiatkowski, M Ostendorf… – … (SLT), 2012 IEEE, 2012 – ieeexplore.ieee.org … We use the Stanford parser [19], modified to as described above, to learn a generative parsing model from counts of rules in Switch- board. … 1, pp. 125–128. [3] M. Boros et al., “Semantic processing of out-of-vocabulary words in a spoken dialogue system,” in Proc. … Cited by 11 Related articles All 8 versions

Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems YN Chen – target, 2015 – cs.cmu.edu Page 1. Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems Yun-Nung (Vivian) Chen Ph.D. Thesis Proposal … 69 xiii Page 20. xiv Page 21. 1Introduction 1.1 Spoken Dialogue System …

Query understanding enhanced by hierarchical parsing structures J Liu, P Pasupat, Y Wang, S Cyphers… – … (ASRU), 2013 IEEE …, 2013 – ieeexplore.ieee.org … Hierarchical I and II represent the structural features extracted from the Stanford parser and Enju parser, respectively; and All Dependency represents the combination of Solo, Dual and Chain dependency … ASGARD: A Portable Architecture for Multilingual Dialogue Systems. … Cited by 8 Related articles All 14 versions

Towards Flexible, Small-Domain Surface Generation: Combining Data-Driven and Grammatical Approaches A Fischer, V Demberg, D Klakow – ENLG 2015, 2015 – aclweb.org … adapting to a user and a sit- uation is utterance complexity.(Demberg et al., 2011) show that a dialog system that generates … 5.2 Grammar Evaluation In Table 2 we report language model perplexities (PP), parse scores from Stanford Parser, percentages of se- lected sentences …

Stochastic Language Generation Using Situated PCFGs C Yuan, X Wang, Z Zhong – Natural Language Processing and Chinese …, 2015 – Springer … We demonstrate the versatility and effectiveness of our method on (1) response gen- eration for a situated Chinese spoken dialogue system (SDS)1 for … The parser we used for GIVE and SDS are both the Stanford Parser3. Figure 1(a) outlines the partial parser tree of sentence …

Multimodality and dialogue act classification in the RoboHelper project L Chen, B Di Eugenio – Proceedings of SIGDIAL, 2013 – sigdial.org … Sentences are parsed using the Stanford parser. … 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. … Cited by 5 Related articles All 10 versions

Complex Event Extraction using DRUM J Allen, W de Beaumont, L Galescu, CM Teng – ACL-IJCNLP 2015, 2015 – aclweb.org … the Stanford part-of-speech tagger (Toutanova and Manning, 2000), the Stanford named-entity recognizer (NER)(Finkel et al., 2005) and the Stanford Parser (Klein and … For instance, in dialogue systems speech acts such as CONFIRM (eg, ok) or GREET (eg, hello) are expected. …

From Specialized Syntax to General Logic: The Case of Comparatives R Lian, R Solomon, A Belayneh, B Goertzel… – Artificial General …, 2015 – Springer … and com- paratives (which makes sense as such constructs are probably not that diversely represented in the Stanford parser’s training data). Page 4. … work remains before we have a generally robust compre- hension system capable for use in a wide variety fo dialogue systems. …

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 … Subsequently, all utterances are parsed using the Stanford parser to obtain constituents and are inte- grated into the grammar under construction. … Cited by 13 Related articles All 9 versions

Dialogue Act Modeling for Non-Visual Web Access V Ashok, Y Borodin, S Stoyanchev… – 15th Annual Meeting of …, 2014 – aclweb.org … WOZ is commonly used before building a dialogue system (Chotimongkol, 2008),(Ohtake et al., 2009),(Es- kenazi et al., 1999). … 4.3 Syntactic Structure of Commands The binary syntactic features (S in Table 4) were automatically extracted using the Stanford parser (Klein and … Cited by 3 Related articles All 8 versions

Investigating Automatic & Human Filled Pause Insertion for Speech Synthesis R Dall, M Tomalin, M Wester… – Proceedings of the …, 2014 – homepages.inf.ed.ac.uk … heard pairs of sentences with and without FPs and were asked whether the FP increased the naturalness of a voice for a dialogue system. … Speech associated with word following IP (a) was obtained using tsylb;2 (b), (c), and (e) were obtained using the Stanford Parser,3 while (d … Cited by 6 Related articles All 7 versions

R-cube: a dialogue agent for Restaurant Recommendation and Reservation S Kim, RE Banchs – Asia-Pacific Signal and Information …, 2014 – ieeexplore.ieee.org … For the implementation of the three sub-systems, a multi-strategy architecture, which is depicted in Figure 1, has been adopted. Figure 1. Multi-strategy Dialogue System Architecture … For the specific cases of POS tagging and phrase chunNing we use the Stanford Parser.5 … Cited by 2 Related articles All 2 versions

Cluster-based Prediction of User Ratings for Stylistic Surface Realisation N Dethlefs, H Cuayáhuitl, H Hastie, V Rieser… – EACL …, 2014 – anthology.aclweb.org … Fu- ture work involves integrating the surface realiser into the PARLANCE1 (Hastie et al., 2013) spo- ken dialogue system with a method for … The only analysis tool we used was the Stanford Parser, 6 which identified certain types of words (pronouns, wh-words) or the depth of … Cited by 5 Related articles All 11 versions

Interpreting instruction sequences in spatial language discourse with pragmatics towards natural human-robot interaction J Fasola, MJ Mataric – Robotics and Automation (ICRA), 2014 …, 2014 – ieeexplore.ieee.org … of static relations has also been explored in the context of human-robot cooperation tasks [5], and for visually situated dialogue systems [12]. … We use the Stanford NLP Parser [14] to generate default POS tags; however, because the Stanford parser does not have access to … Cited by 3 Related articles All 2 versions

That is your evidence?: Classifying stance in online political debate MA Walker, P Anand, R Abbott, JEF Tree… – Decision Support …, 2012 – Elsevier … a Natural Language and Dialogue Systems Lab, University of California Santa Cruz, USA; b Natural Language Processing Lab, Naval Postgraduate School, USA. Available online 21 May 2012. Abstract. A growing body … Cited by 22 Related articles All 13 versions

Surface Realisation from Knowledge-Bases B Gyawali, C Gardent – the 52nd Annual Meeting of the …, 2014 – hal.archives-ouvertes.fr … (DeVault et al., 2008) describes an approach for generating from the frames produced by a dialog system. … Figure 4 shows the trees extracted from the scenario given in Figure 1. To associate each training example sentence with a syntactic parse, we use the Stanford parser. … Cited by 3 Related articles All 15 versions

Inconsistency as a diagnostic tool in a society of intelligent agents M McShane, S Beale, S Nirenburg, B Jarrell… – Artificial intelligence in …, 2012 – Elsevier … Step 2: Generating actual dependencies from the input sentence. We use the Stanford parser [20] to generate a syntactic dependency analysis. We call the output dependencies actual dependencies – ie, dependencies from … Cited by 10 Related articles All 7 versions

In-context evaluation of unsupervised dialogue act models for tutorial dialogue A Ezen-Can, KE Boyer – Proceedings of SIGDIAL, 2013 – sigdial.org … 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 & … Cited by 5 Related articles All 12 versions

Unsupervised Induction of Contingent Event Pairs from Film Scenes. Z Hu, E Rahimtoroghi, L Munishkina, R Swanson… – EMNLP, 2013 – researchgate.net … Zhichao Hu, Elahe Rahimtoroghi, Larissa Munishkina, Reid Swanson and Marilyn A. Walker Natural Language and Dialogue Systems Lab Department of Computer Science, University of California, Santa Cruz … This also tends to catch errors generated by the Stanford parser. … Cited by 4 Related articles All 6 versions

Object Recognition Using Dialogues And Semantic Anchoring VK Bandaru, B Rajasekaran – 2013 – diva-portal.org … that made use of tools like Google’s speech to text API, Stanford’s Parser[22] (a product of Stanford’s core NLP suite), a high level AIT concept namely, Perceptual Anchoring and a database management system based on MongoDB. Figure 4.1 Framework 4.1 Dialogue system … Related articles All 3 versions

Improving the robustness of example-based dialog retrieval using recursive neural network paraphrase identification L Nio, S Sakti, G Neubig, T Toda… – … Workshop (SLT), 2014 …, 2014 – ieeexplore.ieee.org … Data-driven approaches are seeing increasing interest as lightweight methods to create broad-coverage chat-oriented dialog systems [1, 2, 3, 4]. These approaches are attractive because, in … To generate all the parse trees for the RAE algorithm, we use the Stanford parser [21]. … Cited by 1 Related articles All 2 versions

Recursive neural network paraphrase identification for example-based dialog retrieval L Nio, S Sakti, G Neubig, T Toda… – Asia-Pacific Signal …, 2014 – ieeexplore.ieee.org … III. OVERALL DIALOG SYSTEM Figure 1 depicts an overview of our dialog system. User input is treated by the dialog management system as a query to our response generator module. … [20]. To generate all the parse trees for the RAE algorithm, we use the Stanford parser [25]. … Related articles All 4 versions

Flexible conversation management using a bdi agent approach W Wong, L Cavedon, J Thangarajah… – Intelligent Virtual Agents, 2012 – Springer … We use the Stanford Parser [6] for part-of-speech tagging, Morphadorner1 for lemmatisa- tion, and the dictionary-based approach for … van Doesburg, W., Dignum, F.: Goal-based communication using bdi agents as virtual humans in training: An ontology driven dialogue system. … Cited by 5 Related articles All 11 versions

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 … The output of the speech recognizer is parsed by the Stanford Parser, and then Semantic Frames are extracted … include [14], where joint modeling of speech recognition and language understanding through a perceptron classifier is de- fined in a conversational dialogue system. … Cited by 5 Related articles All 4 versions

The effect of sensor errors in situated human-computer dialogue N Schuette, JD Kelleher, B Mac Namee – 2014 – arrow.dit.ie … These object can be manipulated by an abstract simulated robot arm. The dialogue system is a frame based dialogue system that uses the Stanford Parser (Klein and Manning, 2003) for parsing. The simulation environment was implement using Microsoft Robotics Studio. … Cited by 3 Related articles All 8 versions

Mobile Application for Virtual Communication Assistance P Krishnamoorthy – 2013 – sci.tamucc.edu … (NLP) to identify patterns based on email conversation logs. Stanford Parser is used for … 1.1.2 Text Summarization …..2 1.1.3 Dialogue System …..2 … Related articles

Representing Syntactic-Semantic Knowledge from English Texts R Guidry Jr, J Chen – … on the International Conference on Artificial …, 2014 – world-comp.org … The availability of various syntactic parsers such as the Link grammar parser [13], the Stanford Parser [14], and the Malt Parser[15] made it much easier to exploit the results of syntactic parsing in building shallow semantic … Dialogue systems: From theory to practice in TRAINS96. … Related articles All 2 versions

Robust dialogue act detection based on partial sentence tree, derivation rule, and spectral clustering algorithm CP Chen, CH Wu, WB Liang – EURASIP Journal on Audio, Speech, and …, 2012 – Springer … W U ? As q = (Au, g, H) As = ?(b[q]) Figure 1 Block diagram of a spoken dialogue system. … 4.2 Extraction of derivation rules After PST construction, each PS in the PST is parsed by the Stanford parser (S-parser) [11]. Let the grammar of the S-parser be denoted as a 5-tuple [37] … Cited by 2 Related articles All 10 versions

FREyA: An interactive way of querying Linked Data using natural language D Damljanovic, M Agatonovic… – The Semantic Web: ESWC …, 2012 – Springer … which has been collected for decades by researching open-domain Question-Answering systems, NLIs to databases, and dialog systems in order … The syntactic parsing and analysis generates a parse tree using Stanford Parser [11] and then uses several heuristic rules in order … Cited by 84 Related articles All 10 versions

An evaluation of keyword, string similarity and very shallow syntactic matching for a university admissions processing infobot P Hancox, N Polatidis – Computer Science and Information Systems, 2013 – doiserbia.nb.rs … The Stanford Parser [13] was used to analyse the stereotypical queries assigned to inter- pretations drawn from the response class, giving dictionary entries which also included information about keyword co-occurrence and the ordering of keywords (Section 4.3). … Cited by 1 Related articles All 7 versions

Clarifying commands with information-theoretic human-robot dialog R Deits, S Tellex, P Thaker… – Journal of Human …, 2013 – humanrobotinteraction.org … et al., 2011). Parses can be extracted automatically, for example with the Stanford Parser (Marneffe, MacCartney, & Manning, 2006) or annotated using ground-truth parses, as we do for the evaluation in this paper. We call the … Cited by 18 Related articles All 7 versions

Understanding Student Language: An Unsupervised Dialogue Act Classification Approach A Ezen-Can, KE Boyer – JEDM-Journal of Educational …, 2015 – educationaldatamining.org … the past several years on unsupervised dialogue act modeling, which has only recently emerged as a research focus within the dialogue systems research community (Ezen-Can and Boyer, … In this work we utilize the Stanford Parser (Klein and Manning, 2003). … Cited by 2 Related articles All 5 versions

A Flowchart-Based Multi-Agent System For Assisting Novice Programmers With Problem Solving Activities D Hooshyar, RB Ahmad, RG Raj… – Malaysian Journal of …, 2015 – pefprints.pef.uni-lj.si … Using FMAS, the students are guided through a dialogue system chat. … Vol. 28(2), 2015 As seen above, an online parser, Stanford Parser [32], processes the entered text, and the system automatically removes the noise in the parsed sentence. …

The BASRAH system: A method for spoken broadcast news story clustering ZAK Aleqili – Networked Digital Technologies, 2012 – Springer … 11. IEEE (2011) 9. Skantze, G.: The use of speech recogition confidence scores in dialogue systems. Speech Technology (2003) 10. Stanford University, The Stanford Parser: A statistical parser, http://nlp.stanford.edu/software/lex-parser.shtml 11. … Cited by 3 Related articles All 2 versions

Context Awareness and Personalization in Dialogue Planning RWH Fisher – 2014 – cs.cmu.edu … 4.1 Semantic Features One critical component in dialogue systems is semantic understanding of unstructured user input. … The Stanford Parser Probabilistic Context-Free Grammar (PCFG) suite is used to extract syn- tactic information from the input sentence[38]. … Related articles All 2 versions

Understanding user state and preferences for robust spoken dialog systems and location-aware assistive technology WWPL Li – 2012 – dspace.mit.edu Page 1. Understanding User State and Preferences for Robust Spoken Dialog Systems and Location-Aware Assistive Technology by Williarn Li BASc. … devices. 2.2 Spoken Dialog Systems A spoken dialog system (SDS) is an agent that interacts with the end-user who uses … Cited by 1 Related articles All 8 versions

The creation of a corpus of English metalanguage S Wilson – Proceedings of the 50th Annual Meeting of the …, 2012 – dl.acm.org … 2005) spoken dialog system, designed to help users plan trips on Pittsburgh’s bus system. (ROOT (S (NP (NP (DT The) (NN button)) (VP (VBN labeled) (S (VP (VB go))))) VP (VBD was) (VP (VBN illuminated))) (. Figure 1. Output of the Stanford Parser (Klein & Manning 2003 … Cited by 6 Related articles All 9 versions

A computational linguistic approach to natural language processing with applications to garden path sentences analysis J DU, P YU – Editorial Preface, 2012 – Citeseer … linguistic knowledge [12-17]. There are a lot of helpful NLP models for linguistic research focusing on various application areas, eg Zhou & Hripcsak’medical NLP model and Plant& Murrell’s dialogue system. Figure 1 Zhou & … Cited by 1 Related articles All 3 versions

Customer sentiment appraisal from user-generated product reviews: a domain independent heuristic algorithm D Raghupathi, B Yannou, R Farel, E Poirson – International Journal on …, 2015 – Springer … In the third step of Text processing, the noise free data is organised as a tree of dependency from the dependency list obtained with the aid of Stanford Parser and Probabilistic Context Free Grammar (PCFG). … The Stanford Parser is used to establish the dependencies net- work. … Related articles All 2 versions

Generating natural language texts from business process models H Leopold, J Mendling, A Polyvyanyy – Advanced Information Systems …, 2012 – Springer … elements. The Stanford Parser [26] and the lexical database WordNet [27] are used to recognize different patterns in gateway and arc labels which we identified in the context of a comprehensive analysis of industry process models. … Cited by 19 Related articles All 22 versions

Use of ontology, lexicon and fact repository for reference resolution in Ontological Semantics M McShane, S Nirenburg – New Trends of Research in Ontologies and …, 2013 – Springer … The OntoSem preprocessor [ 32 ] represents a conglomeration of resources and engines, including the preprocessor provided with the Stanford parser [ 14 ]. … For syntactic analysis, OntoSem currently uses the Stanford parser [ 8 , 14 ] out of the box. … Cited by 5 Related articles All 3 versions

Capti-speak: a speech-enabled web screen reader V Ashok, Y Borodin, Y Puzis… – … of the 12th Web for All …, 2015 – dl.acm.org … 3.2.1 Dialog Act Identifier/Recognizer In the area of spoken dialog systems, the ability to label any speech utterance with a functional tag (the … state variables (see section 3.4) stored by the Dialog Manager and the syntactic features were obtained using the Stanford Parser [11]. … Related articles

Clarifying commands with information-theoretic human-robot dialog R Deits, S Tellex, P Thaker, D Simeonov… – Journal of Human- …, 2012 – people.csail.mit.edu … & Roy (2011). Parses can be extracted automatically, for example with the Stanford Parser (Marneffe,MacCartney,&Manning, 2006) or annotated using ground-truth parses, as we do for the evaluation in this paper. We call the … Cited by 1 Related articles All 7 versions

Robust Natural Language Processing for Urban Trip Planning J Booth, B Di Eugenio, IF Cruz… – Applied Artificial …, 2015 – Taylor & Francis … It presents a systematic approach to linking lexica and ontologies to port dialogue systems to new domains. … Our work differs from theirs in that, to the extent possible, we focused on reusing available NLP tools such as the Stanford Parser (as far as we know, the parser by …

The joint student response analysis and recognizing textual entailment challenge: making sense of student responses in educational applications MO Dzikovska, RD Nielsen, C Leacock – Language Resources and …, 2015 – Springer … non_domain. The SRA corpus consists of two distinct subsets: Beetle data, based on transcripts of students interacting with Beetle II tutorial dialogue system (Dzikovska et al. … In addition, features based on Stanford Parser dependencies and WordNet similarity scores are used. …

Reporting on existing USP-techniques KIT Achim Rettinger, L Zhang, CD Date – 2012 – xlike.org … 10 1.2.5 Stanford Parser ….. … We will then explain quasi logical forms, a semantic formalism used in USP, and finish this section with the introduction of the Stanford- Parser. 1.2.1 Morphological Analysis … Related articles

Semantic role labelling as SFL transitivity analysis E Costetchi – ESSLLI Student Session 2013 Preproceedings, 2013 – loriweb.org … For example, current state of the art in dialogue systems is still a domain-dependent. … Present approach builds on three resources: the (1) sentence dependency parse [19, 20] provided by the Stanford Parser [16], (2) a Process Type Database [25] and (3) a repository of Graph … Cited by 2 Related articles All 2 versions

Detection of affective states from text and speech for real-time human–computer interaction RA Calix, L Javadpour, GM Knapp – Human Factors: The Journal …, 2012 – hfs.sagepub.com … These syntactic annotations were performed using the Stanford parser and BART toolkit (Versley et al., 2008). … Finally, in dialogue systems, speakers do not have to describe the environment as in children’s stories, and they make substantial use of humor and sarcasm. … Cited by 5 Related articles All 6 versions

Social talk capabilities for dialogue systems T Klüwer – 2015 – universaar.uni-saarland.de … Social Talk Capabilities for Dialogue Systems Tina Klüwer T in a K lü w e r S o cia l Ta lk C a p a b ilitie … Page 2. Tina Klüwer Social Talk Capabilities for Dialogue Systems universaar Universitätsverlag des Saarlandes Saarland University Press Presses Universitaires de la Sarre … Related articles All 2 versions

Chatbot with common-sense database M Amilon – 2015 – diva-portal.org … These were identified using the dependencies of the Stanford parser. … “Towards a Method For Evaluating Naturalness in Conversational Dialog Systems” ?IEEE International Conference on? ?Systems, Man and Cybernetics?. pp. 12361241. 17 Page 23. www.kth.se Related articles

Question Processing for Arabic Question Answering System HM Al Chalabi – 2015 – bspace.buid.ac.ae … applications was natural language database and front-ends. QA in human-machine dialogue was another area of primarily theoretical attention, where such dialogue systems have been built to assist researchers to understand the concepts of modelling the human dialogue. …

Design of components for understanding, dialogue management and feedback to the user R Manione, F Arisio, E Gerbino, CG FBK, MM FBK – 2012 – dirha.fbk.eu … Dialogue systems have specific requirements for this, including adequate recovery from error. … In general, the degrees of initiative in the spoken dialog system fall into one of the following strategies: • System-initiative: The system has the initiative to guide the dialog at each step. … Related articles All 2 versions

An introduction to question answering over linked data C Unger, A Freitas, P Cimiano – Reasoning Web. Reasoning on the Web …, 2014 – Springer Page 1. An Introduction to Question Answering over Linked Data Christina Unger 1 , André Freitas 2 , and Philipp Cimiano 1 1 CITEC, Bielefeld University, Inspiration 1, 33615 Bielefeld 2 Insight, National University of Galway (NUIG), Galway Abstract. … Cited by 6 Related articles All 4 versions

Exploiting ontology lexica for generating natural language texts from RDF data P Cimiano, J Lüker, D Nagel, C Unger – 2013 – pub.uni-bielefeld.de … for both the recipe text and the ingredient list was con- structed. Furthermore, 65000 sentences were parsed using the Stanford parser, trained on 12 Page 4. the German TIGER corpus, also enriching the training data of the parser … Cited by 8 Related articles All 11 versions

Learning Organized Knowledge for Unsupervised Spoken Language Understanding YNV Chen – 2015 – cs.cmu.edu … intention. However, spoken dialogue systems typically use manually predefined semantic elements to parse users’ utterances into unified semantic representations. … xi Page 18. xii Page 19. 1Introduction 1.1 Spoken Dialogue System A … Related articles

Prototypes of Social Simulation A Osherenko – Social Interaction, Globalization and Computer-Aided …, 2014 – Springer … affect sensing in an SS system can rely on an approach that uses the SPIN parser (Engel 2006), a semantic parser for spoken dialog systems, to detect predefined patterns of words. The SPIN parser is used in combination with the probabilistic Stanford parser to automatically … Related articles

Complex Aggregates In Natural Language Interface To Databases MA Gupta – 2013 – web2py.iiit.ac.in … Rajeev Sangal, in the field of Dialogue Systems by using Natural Language Processing (NLP) techniques. In a Dialogue System, a dialogue is established in NL between a human and a machine, leading to an exchange of information at both ends. … Related articles All 2 versions

The roles and recognition of Haptic-Ostensive actions in collaborative multimodal human–human dialogues L Chen, M Javaid, B Di Eugenio, M Žefran – Computer Speech & Language, 2015 – Elsevier … 2. Related work. Research on spoken dialogue systems has been progressing for at least forty years, and many systems exist, from prototypes to commercial strength (please see Tur and De Mori, 2011 for a recent overview). … Cited by 1 Related articles

A Novel Feature Selection Strategy for Enhanced Biomedical Event Extraction Using the Turku System J Xia, AC Fang, X Zhang – BioMed research international, 2014 – hindawi.com … In terms of the training data set with GENIA format, the dependency relation of each sentence is output by Stanford parser [29], which addresses the syntactic relations between word tokens and thus converts the sentence to a graph, where the node denotes a word token and … Cited by 1 Related articles All 9 versions

Identifying narrative clause types in personal stories R Swanson, E Rahimtoroghi… – 15th Annual Meeting …, 2014 – anthology.aclweb.org … Personal Stories Reid Swanson, Elahe Rahimtoroghi, Thomas Corcoran and Marilyn A. Walker Natural Language and Dialog Systems Lab University … First, we used the Stanford Parser to distinguish independent and dependent clauses and kept track separately of features that … Cited by 2 Related articles All 8 versions

Actor level emotion magnitude prediction in text and speech RA Calix, GM Knapp – Multimedia tools and applications, 2013 – Springer … [24], the authors propose a model for detecting the emotional state of a user that interacts with a dialog system. … The text features are extracted using python scripts (Table 1), the Stanford parser, and NLTK [5]. All word tokens were stemmed using the Porter Stemmer to reduce … Cited by 6 Related articles All 9 versions

Building World Event Representations From Linguistic Representations T Bruland – 2013 – diva-portal.org … In order to build applications like dialogue systems or question- answering systems, we need to create a natural language processing system that can connect the linguistic representations to a domain ontology and then reason with the domain ontology elements. … Related articles All 4 versions

Cross-Domain and Cross-Language Porting of Shallow Parsing E Stepanov – 2014 – eprints-phd.biblio.unitn.it Page 1. PhD Dissertation International Doctorate School in Information and Communication Technologies DISI – University of Trento Cross-Domain and Cross-Language Porting of Shallow Parsing Evgeny A. Stepanov Advisor: Prof. Dr. Ing. Giuseppe Riccardi … Related articles

Domain-And Language-Adaptive Natural Language Controlling Framework P Barabás – 2013 – iit.uni-miskolc.hu … ix OWL Web Ontology Langauge POI Point Of Interests POS Part-Of-Speech QLF Quasi-Logical Form RDF Resource Description Framework SDK Software Development Kit SDS Speech Dialog System SNLP Stanford NLP SNLPG Stanford Natutal Language Processing Group … Related articles All 2 versions

Blog Mining and Emotion Argumentation Argumentation SBSBS Bandyopadhyay – 2012 – dspace.jdvu.ac.in … 25 3.3.1 Telugu Shallow Parser …………… 25 3.3.2 Stanford Parser …………… 25 … There is currently a large number of lexical resources (egWordNet and SentiWordNet) and tools/software (eg Stanford parser, … Related articles All 2 versions

Towards Modeling Collaborative Task Oriented Multimodal Human-human Dialogues L Chen – 2014 – indigo.uic.edu … xi Page 13. CHAPTER 1 INTRODUCTION A dialogue system is a computer system intended to converse with a human. The input … of communication. The most widely researched and developed dialogue systems are spoken dialogue sys- … All 3 versions

Question answering I Habernal, M Konopík, O Rohlík – Next Generation Search …, 2012 – books.google.com Page 324. 304 Chapter 14 Question Answering Ivan Habernal University of West Bohemia, Czech Republic Miloslav Konopík University of West Bohemia, Czech Republic Ond?ej Rohlík University of West Bohemia, Czech Republic … Cited by 3 Related articles All 3 versions

The Linguistics of Sentiment Analysis L Hart – 2013 – pdxscholar.library.pdx.edu … Tagged by NLTK30 [(‘Marco, ‘NNP’), (‘Polo’, ‘NNP’), (‘describes’, ‘VBZ’), (‘a’, ‘DT’), (‘bridge’, ‘NN’), (‘ stone’, ‘NN’), (‘by’, ‘IN’), (‘stone’, ‘NN’), (‘ Tagged by Stanford Parser31 Marco/NNP Polo/NNP describes/VBZ a/DT bridge/NN ,/, stone/NN by/IN stone/NN ./. … Related articles

A natural language planner interface for mobile manipulators TM Howard, S Tellex, N Roy – Robotics and Automation (ICRA), …, 2014 – ieeexplore.ieee.org … planner. Sentences are converted into parse trees using either the Stanford Parser [4] or the Cocke- Kasami-Younger (CKY) algorithm [5] with a fixed grammar. We applied three different types of constraints (distance, 6655 Page 5. … Cited by 10 Related articles All 5 versions

Extraction of non-taxonomic relations from texts to enrich a basic ontology M Ribeiro – 2014 – fenix.tecnico.ulisboa.pt Page 1. Extraction of non-taxonomic relations from texts to enrich a basic ontology M´ario Nuno Letria Ribeiro Thesis to obtain the master of Science Degree in Master Information Systems and Computer Engineering Supervisor: Prof. Helena Sofia Nunes Andrade Pereira Pinto …

Computational linguistic tools and machine translation system for Kannada language PJ Antony – 2012 – nlp.amrita.edu … 106 3.1.5.3 Question-Answering 106 3.1.5.4 Summarization 107 3.1.5.5 MT 107 3.1.5.6 Dialogue Systems 107 3.1.5.7 Sentence Understanding 107 3.1.5.8 Word sense disambiguation 107 3.2 About Kannada Language 108 3.2.1 Structure of Kannada Language 108 … Related articles All 6 versions

Effective Use of Cross-Domain Parsing in Automatic Speech Recognition and Error Detection MA Marin – 2015 – digital.lib.washington.edu … information, we attempt to detect their location and extent (within the ASR hypothesis), as well as the type, in order to handle them effectively during the subsequent clarification request made by the dialog system component. In particular we are interested in two types … Cited by 2 Related articles

Recovering from failure by asking for help RA Knepper, S Tellex, A Li, N Roy, D Rus – Autonomous Robots, 2015 – Springer … The factorization corresponds to the compositional structure of the natural language parse. The parse tree, which provides the structure for creating the graphical model, can be extracted automatically, for example with the Stanford Parser (de Marneffe et al. …

Automatic assessment of syntactic complexity for spontaneous speech scoring S Bhat, SY Yoon – Speech Communication, 2015 – Elsevier … Currently, speech-enabled dialog systems allow learners to practice their speaking and listening with a virtual interlocutor (eg, SpeakESL), to receive feedback on their pronunciation [eg, Carnegie Speech, or Native Accent ( Eskenazi et al., 2007), EduSpeak from SRI ( Franco et … Related articles

Automatic generation of factual questions from video documentaries Y Skalban – 2013 – wlv.openrepository.com … 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.” … Related articles All 5 versions

Detecting grammatical errors with treebank-induced, probabilistic parsers J Wagner – 2012 – core.ac.uk Page 1. Detecting Grammatical Errors with Treebank-Induced, Probabilistic Parsers Joachim Wagner Magister Artium A dissertation submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy to the Dublin City University School of Computing … Cited by 5 Related articles All 9 versions

Semi-supervised learning and domain adaptation in natural language processing A Søgaard – Synthesis Lectures on Human Language …, 2013 – morganclaypool.com … 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 14 Related articles All 5 versions

Interacting with Philosophy Through Natural Language Conversation W XUAN – 2013 – scholarbank.nus.edu.sg Page 1. INTERACTING WITH PHILOSOPHY THROUGH NATURAL LANGUAGE CONVERSATION WANG XUAN B.Eng.(Hons.), NUS A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY NUS GRADUATE SCHOOL FOR INTEGRATIVE … Related articles All 2 versions

Automated Quality Assurance of Non-Functional Requirements for Testability A Rashwan – 2015 – spectrum.library.concordia.ca Page 1. AUTOMATED QUALITY ASSURANCE OF NON-FUNCTIONAL REQUIREMENTS FOR TESTABILITY ABDERAHMAN RASHWAN A THESIS IN THE DEPARTMENT OF COMPUTER SCIENCE AND SOFTWARE ENGINEERING …

Deep learning approaches to problems in speech recognition, computational chemistry, and natural language text processing GE Dahl – 2015 – cs.toronto.edu Page 1. Deep learning approaches to problems in speech recognition, computational chemistry, and natural language text processing by George Edward Dahl A thesis submitted in conformity with the requirements for the degree … Related articles All 2 versions

Grounding linguistic analysis in control applications SRK Branavan – 2012 – people.csail.mit.edu Page 1. Grounding Linguistic Analysis in Control Applications by Satchuthananthavale Rasiah Kuhan Branavan Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the … Related articles All 6 versions

Towards Large Scale Summarization JM Christensen – 2015 – digital.lib.washington.edu Page 1. c Copyright 2014 Janara Christensen Page 2. Page 3. Towards Large Scale Summarization Janara Christensen A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Washington 2014 Reading … Related articles All 2 versions

Combining visual recognition and computational linguistics: linguistic knowledge for visual recognition and natural language descriptions of visual content M Rohrbach – 2014 – scidok.sulb.uni-saarland.de Page 1. Combining Visual Recognition and Computational Linguistics Linguistic Knowledge for Visual Recognition and Natural Language Descriptions of Visual Content Thesis for obtaining the title of Doctor of Engineering Science (Dr.-Ing.) … Related articles All 4 versions