Parse Tree & Dialog Systems 2014


Notes:

A concrete syntax tree or parse tree or parsing tree or derivation tree is an ordered, rooted tree that represents the syntactic structure of a string according to some context-free grammar.

See also:

Parse Tree & Dialog Systems 2011 | Parse Tree & Dialog Systems 2012 | Parse Tree & Dialog Systems 2013


Predicateargument structure analysis with zero-anaphora resolution for dialogue systems K Imamura, R Higashinaka, T Izumi – Proc. COLING, 2014 – anthology.aclweb.org … The NAIST Corpus version 1.5 already includes the part-of-speech tags and the parse trees. 2. Predicate phrases are identified from the sentences. We use the correct predicates in the corpora for the evaluation. When we build dialogue systems on PASA, predicate phrases will … Cited by 2

Hypotheses Ranking for Robust Domain Classification And Tracking in Dialogue Systems JP Robichaud, PA Crook, P Xu… – … Conference of the …, 2014 – mazsola.iit.uni-miskolc.hu … Index Terms: dialogue systems, natural language understand- ing, hypothesis ranking, re-ranking, contextual domain classifi- cation, lambda rank, gradient … of a probabilistic parser using a boosting algorithm and providing it with additional features of the parse tree to determine … Cited by 1

Log-linear dialog manager H Tang, S Watanabe, TK Marks… – Acoustics, Speech and …, 2014 – ieeexplore.ieee.org … sys- tem actions, we use context-free grammars (CFGs), each of which is based on a graph of semantic representations related to the domain of the dialog system. Instead of being simple multinomials, the ran- dom variables take values in the space of parse trees generated by … Cited by 1

Unsupervised approach for shallow domain ontology construction from corpus S Mukherjee, J Ajmera, S Joshi – … of the companion publication of the …, 2014 – dl.acm.org … of a variety of text analysis prob- lems such as document similarity computation, search re- sult re-ranking and interactive dialogue systems. … Our approach starts with finding important domain con- cepts where we exploit the parse tree structure of a slot grammar parser output. … Cited by 1 Related articles All 3 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). … analysis of the corpus; mitigate the effect of noise that is usually present in standard lexical/syntactic feature sets such as n-grams and parse tree rules … Cited by 1

ISOFT at QALD-4: Semantic similarity-based question answering system over linked data S Park, H Shim, GG Lee – 2014 – ceur-ws.org … our graph-based reduction rules, extract slots by reducing the number of nodes in the dependency parse tree and will … Foundation of Korea (NRF) [NRF-2014R1A2A1A01003041, Development of multi-party antici- patory knowledge-intensive natural language dialog system]. … Cited by 1

SmartGrammar: A dynamic spoken language understanding grammar for inflective languages V Catania, R Di Natale, AR Intilisano, Y Cilano… – airccse.org … We will show a test evaluation upon a case scenario in the Italian language, but the same idea may be extended and reused for other inflectional languages Dialog Systems. … This mechanism allows the LGP to reconstruct more quickly the parse tree of the sentence. … Cited by 1

Robust Example-based Dialog Retrieval using Distributed Word Representations and Recursive Autoencoders L Nio, S Sakti, G Neubig, T Toda, S Nakamura – phontron.com … testbed. 2 Dialog System and Baseline EBDM Generally … other. We will use the RAE algo- rithm to do that part. This algorithm combines word representation into vector representations of longer phrases in a syntactic parse tree. By …

Modeling Filled Pauses and Silences for Responses of a Spoken Dialogue System K Ohta, N Kitaoka, S Nakagawa – naun.org … model for the insertion 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 important information units. …

SemEval-2014 Task 2: Grammar Induction for Spoken Dialogue Systems I Klasinas, E Iosif, K Louka, A Potamianos – SemEval 2014, 2014 – anthology.aclweb.org … Automatic or machine-aided gram- mar creation for spoken dialogue systems can be broadly divided in two categories (Wang and Acero, 2006): knowledge … The application of syntactic parsers for segment extraction is not straightforward since the output is a full parse tree. …

Joint Semantic Utterance Classification and Slot Filling with Recursive Neural Networks DZ Guo, G Tur, W Yih, G Zweig – research.microsoft.com … model simplifies a dialog system, since only one model needs to be trained and tuned, and only one model needs to be used for prediction. Our model produces a per- formance level on par with other recently developed models, using purely lexical features and the parse tree. …

Relationship between Student Writing Complexity and Physics Learning in a Text-Based ITS R Freedman, D Krieghbaum – Intelligent Tutoring Systems, 2014 – Springer … To the best of our knowledge, none of these authors uses com- plexity metrics derived from syntactic parse trees. … Morgan Kaufman, San Mateo (1992) 2. Litman, D., Silliman, S.: ITSPOKE: An Intelligent Tutoring Spoken Dialogue System. … Related articles

Recursive Neural Network Paraphrase Identification for Example-based Dialog Retrieval L Nio, S Sakti, G Neubig, T Toda, S Nakamura – isw3.naist.jp … III. OVERALL DIALOG SYSTEM Figure 1 depicts an overview of our dialog system. … B. Recursive Autoencoder By using the RAE algorithm, we combine word representa- tions in a syntactic parse tree into a vector representations of longer phrases. …

Improving The Robustness Of Example-Based Dialog Retrieval Using Recursive Neural Network Paraphrase Identification L Nio, S Sakti, G Neubig, T Toda, S Nakamura – phontron.com … Data-driven approaches are seeing increasing interest as lightweight methods to create broad-coverage chat-oriented dialog systems [1, 2, 3, 4 … The RAE algorithm is used to combine word representations into vector representations of longer phrases in a syntactic parse tree. …

A Factored Discriminative Spoken Language Understanding for Spoken Dialogue Systems F Jur?í?ek, O Dušek, O Plátek – Text, Speech and Dialogue, 2014 – Springer … number and covers virtually all cities in the Czech Republic [5]. A successful SLU component in a spoken dialogue system must be … an approximation of a pushdown automaton with semantic concepts as non-terminal symbols [7,8]. From the output parse trees, a deterministic …

A Chatbot Dialogue Manager-Chatbots and Dialogue Systems: A Hybrid Approach A Woudenberg – 2014 – dspace.learningnetworks.org Page 1. A Chatbot Dialogue Manager Chatbots and Dialogue Systems: A Hybrid Approach AF van Woudenberg, 850272823 June 17, 2014 Page 2. Page 3. … 14 Page 24. Chapter 3 Dialogue systems The sub-questions that are addressed in this chapter are: …

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. … event variables to the syntactic projection of the strings they are aligned with; and extract the elementary trees of the result- ing FB-LTAG from the parse tree using semantic … Cited by 1 Related articles

Dependency Parsing Features for Semantic Parsing W Monroe, Y Wang – stanford.edu … of meaning representations is useful for a variety of applica- tions, such as question answering (Clarke et al., 2010), dialogue systems (Artzi and … trees produced by S that relate the structure of the parse tree and the rules used to construct it to the syntactic dependencies present …

Automatic Dialogue Act Recognition with Syntactic P Král, C Cerisara – textmining.zcu.cz … related domain of automatic punctuation generation and a set of syntactic features derived from a deep parse tree is further … 3 Dialogue acts represent useful and relevant information for many applica- tions, such as dialogue systems, machine translation, automatic speech recog … Related articles All 2 versions

Context Awareness and Personalization in Dialogue Planning RWH Fisher – 2014 – cs.cmu.edu … adding and labeling the edges of the parse tree [20] one at a time, while ignoring the broader characteristics of the parse tree. … observable, as such, it may be preferable to use inverse reinforcement learning (also called imitation learning) to train a dialogue system using human … Related articles All 2 versions

Problematic Situation Analysis and Automatic Recognition for Chinese Online Conversational System Y Xiang, Y Zhang, X Zhou, X Wang, Y Qin – CLP 2014, 2014 – aclweb.org … Target words are defined as the direct objects that the root verb governs in a de- pendency parse tree in questioning sentences. … 2010. Estimation Method of User Sat- isfaction Using N-gram-based Dialogue Histo- ry Model for Spoken Dialogue System. LREC. …

Automatic dialogue act recognition with syntactic features P Král, C Cerisara – Language Resources and Evaluation, 2014 – Springer … the Czech corpus, then the two pieces of software that have been used to compute the morphosyntactic tags and the parse tree and we … of dialogue acts has been done because our DA recognition module is designed to be used with a rule-based dialogue system that only … Related articles All 4 versions

Question Answering System S Nalawade, S Kumar, D Tiwari – ijsr.net … Since 1960s, till the field was in its infancy, a variety of natural language database front-ends, dialog systems, and language understanding systems have been created. … [6] Fully parses questions and then apply a large number of rules to the parse tree to classify questions. … Related articles

Representing Syntactic-Semantic Knowledge from English Texts R Guidry Jr, J Chen – world-comp.org … a generic framework for representing syntactic and semantic knowledge for NLP, along with a computational system for automatically constructing the knowledge structure (semantic network) from syntactic parse trees. … Dialogue systems: From theory to practice in TRAINS96. …

A Comprehensive Study on Natural Language Processing and Natural Language Interface to Databases U Shafique, H Qaiser – International Journal of Innovation and …, 2014 – researchgate.net … over the period including in Machine and Automatic Translation, Information Retrieval (IR), Information Extraction (IE), Dialogue Systems and Question … The transformation processes are done in three steps, generating, validating and then translating the parse tree to an XQuery …

Natural language parsing using Fuzzy Simple LR (FSLR) parser SG Kanakaraddi, V Ramaswamy – … Conference (IACC), 2014 …, 2014 – ieeexplore.ieee.org … linguistic. An important aspect of spoken dialogue systems is the natural language understanding component. … parser. Syntactic analysis is a method of assigning a syntactic structure or a parse tree, to a given natural language sentence. … Related articles

Multi Objective Criteria for Selection of Manufacturing Method using NLP Parser MGR Naik, VA Raikar, PG Naik – ijritcc.org … The parse tree is constructed based on the grammar specified. … It allows computer-supported understanding and processing of information expressed in human language for specific tasks, including machine translation, interactive dialog systems, opinion mining, etc. …

SemEval-2014 Task 6: Supervised Semantic Parsing of Robotic Spatial Commands K Dukes – SemEval 2014, 2014 – aclweb.org … state-of-the-art semantic pars- ing methods have used for a variety of applica- tions, including question answering (Kwiat- kowski et al., 2013; Krishnamurthy and Mitchell, 2012), dialog systems (Artzi and … Without integrated planning, the most-probable parse tree is selected. …

Semantically Tractable Questions: Theory and Experiments AM Popescu, O Etzioni, H Kautz – cs.washington.edu … 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

Domain Cartridge: Unsupervised Framework for Shallow Domain Ontology Construction from Corpus S Mukherjee, J Ajmera, S Joshi – Proceedings of the 23rd ACM …, 2014 – dl.acm.org … The discovered relations can be used for query expan- sion (eg by considering Synonyms along with the original query), interactive dialogue systems (eg for … 3.1 DTD using Noun Phrase Chunking We make use of the parse tree output of the slot grammar parser (ESG) [30] to …

NimbRo@ Home 2014 Team Description M Schwarz, J Stückler, D Droeschel, K Gräve, D Holz… – nimbro.net … Furthermore, the robots are equipped with a multimodal dialogue system. … For speech recognition and synthesis, we rely on Loquendo. When Loquendo recognizes a sentence, it provides a parse tree according to a grammar, which we define for each test. … Related articles All 12 versions

A Survey of Intelligent Language Tutoring Systems MA Emran, K Shaalan – Advances in Computing, …, 2014 – ieeexplore.ieee.org … ANTLR parser was used in order to generate parse trees based on the grammatical structure of the learner’s response. … 6. Beetle II System Beetle II system is a tutorial dialogue system that has been implemented to accept input from the learner without restrictions and to provide …

Summer Internship Report O Kilic – cis.temple.edu … potential structure is found, it is added to a parse tree and revised later if needed). Semantic Parsing in NLP … conversation logs via dialog systems (Artz and Zettlemoyer, 2011), and visual sensors (Matuszek et al., 2012) to approximate the best parsing. …

Exploring the effects of Sentence Simplification on Hindi to English Machine Translation System K Mishra, A Soni, R Sharma, DM Sharma – COLING 2014, 2014 – anthology.aclweb.org … A parse tree of a sentence could potentially address this problem. … In addition to extending the system, evaluating the impact of our tool on other NLP tasks like parsing, dialog systems, summarisation, question-answering systems etc. is also a future goal. …

Better Surface Realization through Psycholinguistics R Rajkumar, M White – Language and Linguistics Compass, 2014 – Wiley Online Library … 2013), thereby making them more suitable for integration into real-time incremental dialog systems (Schlangen and Skantze 2011; Dethlefs et al. … on parsing research that encode very basic insights from linguistic theory (POS tags, rules derived from parse trees, for example). …

Towards an open domain conversational system fully based on natural language processing R Higashinaka, K Imamura, T Meguro… – Proceedings of the …, 2014 – anthology.aclweb.org … Note that the overall architecture is roughly the same as conventional dialogue systems; however, the internal architecture is different so as to … use conditional random fields (Lafferty et al., 2001); NPs are extracted directly from a sequence of words without creating a parse tree. … Cited by 2

Obituary Charles J. Fillmore D Jurafsky – Computational Linguistics, 2014 – MIT Press … Thompson, and Slocum 1973), spoken-language understanding (Nash-Webber 1975), and dialogue systems (Bobrow et al. 1977). General-purpose semantic role labelers were developed to map to case representations via ATNs (Simmons 1973) or, from parse trees, by using …

Inferring Maps and Behaviors from Natural Language Instructions F Duvallet, MR Walter, T Howard, S Hemachandra… – people.csail.mit.edu … for a phrase. We construct the symbols used to represent each phrase using only the groundings with a true correspondence and take the meaning of a utterance as the symbol inferred at the root of parse tree. Figure 2 illustrates … Cited by 1 Related articles

A Natural Language Planner Interface for Mobile Manipulators TM Howard, S Tellex, N Roy – Proc. IEEE Int’l Conf. on Robotics …, 2014 – groups.csail.mit.edu … The structure of the factor graph follows the parse tree of the instruction by connecting phrases (? = [?1 …?n]) to ground- ings (? = [?1 …?n]) and correspondence variables (? = [?1 …?n]). … Fig. 2. A parse tree for the sentence “move near the red box and the blue crate”. … Cited by 2 Related articles All 4 versions

Provably correct reactive control from natural language C Lignos, V Raman, C Finucane, M Marcus… – Autonomous …, 2014 – Springer … element restoration, a step typically ignored in NLP systems, allows for correct parsing of imper- atives and questions, critical structures for natural language control and dialog systems. … The semantic interpretation module uses the parse tree to extract verbs and their arguments. …

Formal Description of Arabic Syntactic Structure in the Framework of the Government and Binding Theory H Bassam, M Asma, O Nadim… – Computación y …, 2014 – polibits.cidetec.ipn.mx … 1. Generate candidate structures of a given sentence that satisfy X-bar theory and sub- categorization frames of the words in the sentence. 2. Filter out structures that violate any one of the principles. 3. The remaining structures are accepted as parse trees of the sentence. …

Robust Algorithms for Semantic Class Labeling in Chinese Query Understanding? Y LI, Y YAN – Journal of Computational Information Systems, 2014 – jofcis.com … With the improvement of Automatic Speech Recognition (ASR), the technology of spoken dialog systems (SDS) has developed vigorously. … in most SLU systems use grammar-based parsers to extract key semantic information, which translate a sentence into a parse tree [2]. Data …

Language Learning via Unsupervised Corpus Analysis B Goertzel, C Pennachin, N Geisweiller – Engineering General Intelligence …, 2014 – Springer … Supervised learning of linguistic structures from expert-annotated corpora plays a large role, but this is a wholly different sort of pursuit, more analogous to rule-based NLP, in that it involves humans explicitly specifying formal linguistic structures (eg parse trees …

Hierarchical Dirichlet Process Topic Modeling for Large Number of Answer Types Classification in Open domain Question Answering S Park, D Lee, J Choi, S Ryu, Y Kim, S Kown… – Information Retrieval …, 2014 – Springer … Graph based Reduction Feature: Graph-based reduction reduces the parse tree by applying … and National Research Founda- tion of Korean (NRF) [NRF-2014R1A2A1A01003041, Development of multi-party anticipatory knowledge-intensive natural language dialog system]. …

Reranked Aligners For Interactive Transcript Correction B Favre, M Rouvier, F Bechet – pageperso.lif.univ-mrs.fr … The task of improving automatic transcripts with interactions has mainly been pursued through confirmation in dialog systems and edition commands in multimodal … This task is achieved by merging parse trees [27, 28] using an edit dis- tance which can be learned from manual … Cited by 1 Related articles

CALL-SLT: A Spoken CALL System based on grammar and speech recognition E Rayner, N Tsourakis, C Baur… – Linguistic Issues in …, 2014 – archive-ouverte.unige.ch … numbers, dates, simple questions). In the latter case, it is also possible to define the content of each lesson by listing the semantic properties (grammar rules used, subtrees in the parse-tree, or lexical items). Grouping examples into …

Knowledge Discovery Through Spoken Dialog A Pappu – 2014 – speech.cs.cmu.edu … All processes in a dialog system pipeline, such as recognition, parsing and dialog management, depend on the words in an input. … 1.1 Handling New Information Spoken Dialog Systems are challenged by misunderstandings and non- understanding errors. …

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 … the grammatical relation between two tokens. By doing this, a directed acyclic graph (DAG) is constructed based on the dependency parse tree, and the shortest dependency path (SDP) is located. For a targeted word in sentence … Related articles All 6 versions

Computational Hispanic Linguistics MA Martí, M Taulé – The Routledge Handbook of Hispanic …, 2014 – books.google.com … These applications (machine translation, question answering, information extrac- tion, and dialog systems, among others) are based on an infrastructure of language resources and … The parser receives a sentence and produces a syntactic representation, usually a parse tree. …

Algorithm for Analysis and Translation of Sentence Phrases R Lacko – is.muni.cz … In the second chapter we have already covered a few major tasks of NLP (automatic summarization and dialogue systems). Some of the other goals (but not all of them) are: … 3. Phrase analysis and translation Parsing is a process of creating a parse tree for a given sentence. … Related articles

Data analysis and integration of environmental sensors to meet human needs AF Santamaria, F De Rango… – SPIE Sensing …, 2014 – proceedings.spiedigitallibrary.org … [7] introduces Spoken Dialogue Systems (SDS) within ambient intelligence which enables universal access to ambient intelligence for anyone … In [8] is presented a parser that applies grammar rules to generate a parse tree that shows the syntactic structure of a sentence. … Related articles

ANA: Automated Nursing Agent K Quinn – 2014 – era.library.ualberta.ca … They have a spinoff project called SeniorCompanions [15] [31] which is very similar to what we are attempting to accomplish. They provide a dialogue system which displays personal images to a senior. They listen and speak to them while they inspect a set of images. …

Language Processing with Perl and Prolog P Nugues – Cognitive Technologies, 2014 – Springer Page 1. Cognitive Technologies Pierre M. Nugues Language Processing with Perl and Prolog Theories, Implementation, and Application Second Edition Page 2. Cognitive Technologies Managing Editors: DM Gabbay J. Siekmann …

Statistical Dialog Management for Health Interventions U Yasavur – 2014 – digitalcommons.fiu.edu … Research endeavors on spoken dialogue systems in the 1990s and 2000s have led to the deployment of commercial spoken dialogue systems (SDS) in microdomains … based on the brief intervention counseling style via spoken dialogue systems. …

Parsing, Expansion And Merging Of Dependency Treebank P Kosaraju – 2014 – web2py.iiit.ac.in … application to several natural language processing applications like machine translation, word sense disambiguation, information retrieval, dialogue systems etc. … Treebanks are corpora in which each sentence associates with a parse tree, ie annotated with a syntactic structure. …

A System for Recognizing Natural Spelling of English Words L Czech – 2014 – isl.anthropomatik.kit.edu … There are plenty of use cases for such a system, including out-of-vocabulary learning, error recovery and dialog systems, for example in warehousing or flight booking. … 29 3.2 An example of a parse tree of the CFG system . . . . . 30 … Related articles

[BOOK] Routledge Encyclopedia of Translation Technology SW Chan – 2014 – books.google.com … tree forS4 and S5 The functional structure in LFG Word alignment PhrasebasedSMT A phrasestructure parse tree Commonandspecific systems … Dr Ahrenberg’s research spans several areas ofNLP including dialogue systems, grammar formalisms and syntactic analysis, corpus …

Cross-Domain and Cross-Language Porting of Shallow Parsing DISI-University of Trento EA Stepanov – 2014 – eprints-phd.biblio.unitn.it … 17 2.2 LUNA attribute-value annotation example. . . . . 19 3.1 Example syntactic parse tree & IOB-chain: the path string of the nodes from root to the token. . . . . 35 3.2 Single model discourse parser architecture. . . . . 36 …

Boosting methods in machine learning (I) C Shen – 2014 – itee.uq.edu.au Page 1. Boosting methods in machine learning (I) Chunhua Shen Te University of Adelaide July 2014 NB: Some slides are adapted from R. Schapire’s NIPS tutorial Page 2. Example: “How May I Help You?” [Gorin et al.] • goal …

Developing an enriched natural language grammar for prosodically-improved concent-to-speech synthesis L Marais – 2014 – uir.unisa.ac.za … (b) The RGL was also extended to allow for enhanced linearisations of the parse trees to indicate the information structure of each tree. 5. A GF application grammar was developed to showcase the use of the extended RGL. …

The Eras and Trends of Automatic Short Answer Grading S Burrows, I Gurevych, B Stein – International Journal of Artificial …, 2014 – Springer … and modeled by tem- plates. Simply, information extraction methods in this article can be considered as a series of pattern matching operations such as regular expressions or parse trees. More generally, information extraction …

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- …

Application of Deep Belief Networks for Natural Language Understanding. R Sarikaya, GE Hinton… – IEEE/ACM Transactions …, 2014 – learning.cs.toronto.edu … based on computable features on the word sequence, for example if a particular word or word pair appears, or if the parse tree contains a … Ruhi Sarikaya Dr. Ruhi Sarikaya is a principal scientist and the manager of language understanding and dialog systems group at Microsoft. … Cited by 3 Related articles All 4 versions

Deep belief nets for natural language call-routing Ruhi Sarikaya is with the Microsoft Corporation, One Microsoft Way, Redmond, WA 98052 USA (e-mail: Ruhi. Sarikaya@ microsoft. com). R Sarikaya, GE Hinton, A Deoras – ieeexplore.ieee.org … C , which is essentially a normalization factor for probabilities to sum to 1. The fi are indicator functions, or features, which are “activated” based on computable features on the word sequence, for example if a particular word or word pair appears, or if the parse tree contains a … Related articles

Conceptual Dependency Scripts for Business Intelligence V Damjanovic – understander.salzburgresearch.at … factual questions (facto-ids), systems enabling reasoning mechanisms, systems that fuse answers from different sources, interactive (dialog) systems, analogical reasoning systems … It relies on the statistical Stanford parser to create a parse tree of the query from which triples are …

Automated Grammatical Error Detection for Language Learners C Leacock, M Chodorow, M Gamon… – Synthesis Lectures on …, 2014 – 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 9 Related articles All 3 versions

Deep stochastic sentence generation S Mille – taln.upf.edu Page 1. Deep stochastic sentence generation Resources and strategies Simon Mille TESI DOCTORAL UPF / 2014 Director de la tesi Prof. Leo Wanner Department of Information and Communication Technologies Page 2. By … Related articles All 2 versions

Deep stochastic sentence generation: resources and strategies S Mille – 2014 – tesisenxarxa.net Page 1. Deep stochastic sentence generation Resources and strategies Simon Mille TESI DOCTORAL UPF / 2014 Director de la tesi Prof. Leo Wanner Department of Information and Communication Technologies Page 2. By …

Artificial Conversations for Chatter Bots Using Knowledge Representation, Learning, and Pragmatics C Chakrabarti – 2014 – repository.unm.edu … 22 2.2 The Syntactic Approach . . . . . 26 2.3 The Semantic Approach . . . . . 27 2.4 Dialogue systems . . . . . 27 viii Page 9. Contents 2.5 Limitations of existing approaches . . . . . 29 …

Open Question Answering A Fader – 2014 – digital.lib.washington.edu … Tracking a dynamic context is often essential for handling information needs that go beyond simple factoid questions. A common case where this extra functionality is needed includes spoken dialogue systems. For example. modeling a conversation with an …

[BOOK] Plan, Activity, and Intent Recognition: Theory and Practice G Sukthankar, C Geib, HH Bui, D Pynadath… – 2014 – books.google.com … area of attack to the problem of plan recognition has been to reformulate it as a parsing problem (eg, Vilain [74]) based on the observation that reasoning from actions to plans taken from a plan hierarchy was analogous to reasoning from sentences to parse trees taken from a … Cited by 3 Related articles

J Christensen – homes.cs.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 …

Automatically generating reading lists JG Jardine – … of Cambridge, Computer Laboratory, Technical Report, 2014 – cl.cam.ac.uk Page 1. Technical Report Number 848 Computer Laboratory UCAM-CL-TR-848 ISSN 1476-2986 Automatically generating reading lists James G. Jardine February 2014 15 JJ Thomson Avenue Cambridge CB3 0FD United Kingdom phone +44 1223 763500 … Related articles All 3 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