Parse Tree & Dialog Systems 2016


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.

Wikipedia:

See also:

100 Best Decision Tree VideosApple Pie Parser | Conversation TreesGrammar Parsers & Dialog SystemsGrammar Trees & Dialog SystemsHPSG ParsersLALR ParserOntology ParsersSentence Parsers & Dialog Systems


Multi-domain neural network language generation for spoken dialogue systems
TH Wen, M Gasic, N Mrksic… – arXiv preprint arXiv …, 2016 – arxiv.org
… to a well-defined ontol- ogy, which provides a structured representation of the domain data that the dialogue system can talk … LFG f-structure based gener- ator could yield better performance when trained on in-domain sentences paired with pseudo parse tree inputs generated …

Towards a dialogue system that supports rich visualizations of data
A Kumar, J Aurisano, B Di Eugenio, A Johnson… – Proceedings of the 17th …, 2016 – aclweb.org
… cO2016 Association for Computational Linguistics Towards a Dialogue System that Supports Rich Visualizations of Data … The Stanford Parser is used to ob- tain the remaining two structures, ie the syntac- tic parse tree and dependency tree. …

Learning to respond with deep neural networks for retrieval-based human-computer conversation system
R Yan, Y Song, H Wu – Proceedings of the 39th International ACM SIGIR …, 2016 – dl.acm.org
… iterative fashion [38, 37, 39]. Socher et al. leverage sentence parse trees and build recursive networks [30]. Mou et al. [21, 20] propose syntax-aware convolution based on parse trees. Howev- er, conversational utterances are …

Recurrent neural network grammars
C Dyer, A Kuncoro, M Ballesteros, NA Smith – arXiv preprint arXiv …, 2016 – arxiv.org
… The discriminative model also lets us use ancestor sampling to obtain samples of parse trees for sentences, and this is used to solve a second practical challenge with RNNGs: approx- imating the marginal likelihood and MAP tree of a sentence under the generative model. …

Multimedia Responses in Natural Language Dialogues.
A Sorgente, P Vanacore, A Origlia, E Leone, F Cutugno… – AVI* CH, 2016 – ceur-ws.org
… of the dialogue system is centred on the Open- dial framework [?], which provides a flexible environment to design dialogue systems using an … lem- matisation (synsets are obtained from the MultiWordNet1 database); 4) a plugin to extract the dependency-based parse tree of the …

Prediction and Generation of Backchannel Form for Attentive Listening Systems.
T Kawahara, T Yamaguchi, K Inoue… – …, 2016 – pdfs.semanticscholar.org
… Some dialogue systems have applied this to generate backchannels, some producing very effective attentive listening behavior [14, 15, 16]. … of phrases 4.73 5.52 5.42 5.15 depth of parse tree 2.18 2.57 2.56 2.54 width of parse tree 1.88 2.00 1.89 1.75 …

Syntax or semantics? knowledge-guided joint semantic frame parsing
YN Chen, D Hakanni-Tür, G Tur… – … (SLT), 2016 IEEE, 2016 – ieeexplore.ieee.org
… In the past decade, goal-oriented spoken dialogue systems (SDS), such as the virtual personal assistants Microsoft’s Cortana and Ap … proposed approaches that leverage linguistic knowledge encoded in parse trees for language understanding, where the ex- tracted syntactic …

Knowledge as a teacher: Knowledge-guided structural attention networks
YN Chen, D Hakkani-Tur, G Tur, A Celikyilmaz… – arXiv preprint arXiv …, 2016 – arxiv.org
… 1 Introduction In the past decade, goal-oriented spoken dialogue systems (SDS), such as the virtual personal assis- … (2013) and Chen et al. (2015) proposed approaches that leverage linguistic knowledge encoded in parse trees for language understanding, where the ex- …

Sequence-based Structured Prediction for Semantic Parsing.
C Xiao, M Dymetman, C Gardent – ACL (1), 2016 – aclweb.org
… This observation can be related to the results obtained by Vinyals et al. (2014), who use an RNN-based model to map a sentence to the linearization of its parse tree,12 and find that in most cases, the predicted sequence produces well-balanced parent

Distributional semantics for understanding spoken meal descriptions
M Korpusik, C Huang, M Price… – Acoustics, Speech and …, 2016 – ieeexplore.ieee.org
… This paper presents ongoing language understanding experiments conducted as part of a larger effort to create a nutrition dialogue system that automatically … between the property and food token if the food is the property to- ken’s head in the dependency parse tree of the meal …

Development of dialog system powered by textual educational content
OV Bisikalo, SM Dovgalets, P Pijarski… – … , Industry, and High …, 2016 – spiedigitallibrary.org
… Thus the objective of the research is to develop the mathematical provision of on-line dialogue system with the approbation of the respective information technology, able to … Sentence type and graph of its dependency based parse tree Frequency formula Final freque ncy …

Robust spoken language understanding for house service robots
A Vanzo, D Croce, E Bastianelli, R Basili, D Nardi – Polibits, 2016 – scielo.org.mx
… In [9] , an interpretation grammar is employed to bootstrap Statistical Language Models (SLMs) for Dialogue Systems. … Early steps in the HRI chain are based on ASR modules that derive a parse tree encoding both syntactic and semantic information based on such theory. …

A Corpus and Semantic Parser for Multilingual Natural Language Querying of OpenStreetMap.
C Haas, S Riezler – HLT-NAACL, 2016 – anthology.aclweb.org
… sentence length. As a further test, we ran the Stanford Parser (Klein and Manning, 2003) on the queries to gener- ate syntactic parse trees. We then counted the num- ber of non-terminals required to produce the parse tree. This …

Identifying Teacher Questions Using Automatic Speech Recognition in Classrooms.
N Blanchard, PJ Donnelly, AMG Olney, B Samei… – SIGDIAL …, 2016 – aclweb.org
… They trained an AdaBoost classifier to detect questions from word, part-of-speech, and parse tree features de- rived from the ASR transcriptions, achieving F1 scores of 0.52, 0.35, and 0.50, respectively, and 0.50 combined. …

School of Computing
R Cruise – 2016 – researchgate.net
… Techniques for learning a context-free parser from a Treebank (parsed corpus), by converting each parse-tree into a … Translating treebank annotation for evaluation.In: Proceedings of the Workshop on Evaluation Methodologies for Language and Dialogue Systems, ACL/EACL …

Speaky for robots: the development of vocal interfaces for robotic applications
E Bastianelli, D Nardi, LC Aiello, F Giacomelli… – Applied …, 2016 – Springer
… Here, semantic attachments for each rule are indicated between angle brackets. Every attachment is a portion of a parse tree, represented in bracketed notation. … Thus, the final output of the ASR phase is a parse tree like the one shown in Fig. …

A multi-agent conversational system with heterogeneous data sources access
EM Eisman, M Navarro, JL Castro – Expert Systems with Applications, 2016 – Elsevier
… interactive NLIs: used in dialog systems, they have memory to remember previous questions. … 3.2. Syntax based systems. A syntax based system analyzes the sentence to make a syntactic (parse) tree which is translated into predicate logic to get the database query. …

Intensified Sentiment Analysis of Customer Product Reviews Using Acoustic and Textual Features
S Govindaraj, K Gopalakrishnan – ETRI Journal, 2016 – etrij.etri.re.kr
… His research areas of interest include human–computer interaction and spoken dialogue systems. … automatically extract LFs from textual documents containing customer product reviews using a piece of software called Stanford Parser [32], which generates a parse tree for each …

Usefulness, localizability, humanness, and language-benefit: additional evaluation criteria for natural language dialogue systems
B AbuShawar, E Atwell – International Journal of Speech Technology, 2016 – Springer
… The YPA “is a natural language dialogue system that allows users to retrieve information from British Telecom’s Yellow pages” (Kruschwitz et al. … After that, the parse tree is sent to the Query Construction Component, which translates the input into a database query, to query the …

Multi-sentence Level Natural Language Generation for Dialogue System
J Cao, G Chen, L Wu, Y Zhang, Z Luo – International Conference on …, 2016 – Springer
… This tedious and heavy labeling work could be done by most workable dialog systems, which have the high accuracy of the constraint … Then, two different approaches can be taken: one is called parse-tree-based approach, and the other is called chunking-based approach. …

Designing Interactive Experiences to Explore Artwork Collections: a Multimedia Dialogue System Supporting Visits in Museum Exhibits.
A Origlia, E Leone, A Sorgente, P Vanacore… – AI* CH@ AI* IA, 2016 – ceur-ws.org
… side of the dialogue system is centered on the Opendial framework [7], which provides a flexible environment to design dialogue systems using and … ance substituting synonyms of target terms with the target term itself; a plugin to extract the dependency-based parse tree of the …

Continuously Improving Natural Language Understanding for Robotic Systems through Semantic Parsing, Dialog, and Multi-modal Perception
J Thomason – 2016 – pdfs.semanticscholar.org
… Figure 1 demonstrates this for “Alice’s office”. Given data in the form of paired token sequences with their semantic parse trees, a statistical parser can be trained to produce those parses given novel sequences (Berant et al. [2013], Liang and Potts [2015]). …

Targeted Sentiment Analysis: Identifying Student Sentiment Toward Courses and Instructors
C Welch, R Mihalcea – workshop.colips.org
… The time, tl that the opinion is expressed would also be apparent in timestamped interactions with the dialog system. … vector machine (SVM) classifier with features derived from n-grams, point- wise mutual information scores, part of speech tags, parse trees, lexicons, and …

Unrestricted Natural Language Implementation in Programming
D Satu, A Avinash – 2016 – irjet.net
… Throughout these three phases, we also intend to use a dialogue system that will interact with the user in order to resolve ambiguity in their … The ccg2sem system (Bos et al., 2004; Blackburn and Bos, 2005) performs this task, taking CCG parse trees as input, and outputting DRS …

Incremental Semantic Construction Based on Combinatory Categorial Grammar
Y Kato, S Matsubara – IEICE TRANSACTIONS on Information and …, 2016 – search.ieice.org
… Moreover, incremental interpretation is useful for incremental dialogue systems [5]–[8]. Further- more, in the field of psycholinguistics, incremental interpre- tation has been … We consider a derivation as a parse tree and construct it based on incre- mental phrase structure parsing. …

Application of a Hybrid Relation Extraction Framework for Intelligent Natural Language Processing
L Goel, R Khandelwal, E Retamino, S Nair… – … Symposium on Intelligent …, 2016 – Springer
… The values represent : [concept number for John, semantic type value for John, value of predicate occurring before John, distance between John and Anna in the parse tree, concept number for Anna … Recent approaches to di- alog management for spoken dialog systems. …

Scaling a Natural Language Generation System.
J Pfeil, S Ray – ACL (1), 2016 – aclweb.org
… This ensures that the major structures of the parse tree are retained. We then pick the 31 most frequently occurring XTAG trees (giving us 74% coverage of the parsed … Due to this and other issues, the number of usable parse trees/sentences was about 7500. 1153 Page 7. …

Neural Network Approaches to Dialog Response Retrieval and Generation
L Nio, S Sakti, G Neubig, K Yoshino… – … on Information and …, 2016 – search.ieice.org
… that are incomprehensible to the user [9]. There have been a number of works on response gener- ation for data-driven dialog systems. … The RAE algorithm is used to combine word representa- tions into vector representations of longer phrases in a syn- tactic parse tree. …

Language: The tool for interaction-surfing uncertainty together
R Kempson, E Gregoromichelaki, J Hough, A Eshghi… – 2016 – clasp.gu.se
Page 1. Language: The tool for interaction – surfing uncertainty together Ruth Kempson King’s College London ruth.kempson@kcl.ac.uk with: E.Gregoromichelaki, J.Hough, A.Eshghi, M.Purver, C.Howes, P.Healey, W. Meyer-Viol, R. Cann, S. Chatzikyriakidis,…. …

Towards a natural language interface for web based application programming interfaces: An analysis of state-of-the-art methods
L Araneda Freccero, J Munoz Caceres – 2016 – diva-portal.org
… third chapter presents current state-of-the-art solutions for NLIs over the three identified application domains; Dialog systems, Information retrieval … samples, research exits on how to simplify their creation [38]. During runtime the program generates parse trees representing ways …

Graph representations of discourse structure
E Mitocariu – International Journal of Advanced Intelligence …, 2016 – inderscienceonline.com
… A dialogue system is a system with which can have a conversation on a specific topic. He observes the coherence in terms of the form of utterance. … The discourse is parsed in order to obtain the parse-tree which gives the discourse representation structure. …

An Analysis of Using Semantic Parsing for Speech Recognition
R Corona – cs.utexas.edu
… the lexicon: happy ? ADJ : Ax.happy(x) An example of what could be a feasible CCG parse tree for the phrase “John is … Because of the prohibitive time investment necessary to generate annotated CCG parse trees for phrases, generally only the final semantic form of each 9 …

Neural Networks for Natural Language Processing
L Mou – sei.pku.edu.cn
… sentence Page 31. Why parse trees may be important? [12] Pinker, Steven. … Page 47. SequenceLevel Training ? Motivation: We don’t have the ground truth In a dialogue system, “The nature of of opendomain conversations shows that a variety of replies are plausible, but …

Gamification:“The System Beats Human Huge Critical Thinking”
D Asha, P Mayilvahanan – ijeter.everscience.org
… 2.11Parsing: Determine the parse tree (grammatical analysis) of a given sentence. The … languages. • Information Retrieval Web search system, or a dialogue system. • Report Generation Generation of reports such as weather reports. …

Towards Building A Domain Agnostic Natural Language Interface to Real-World Relational Databases
SH Ramesh, J Jain, KS Sarath… – Proceedings of the 13th …, 2016 – aclweb.org
… In this paper, we have described a novel natural language interface to real world databases built us- ing syntactic parse trees for query parsing and a … our system by adding support for complex SQL queries like nested queries and we also plan to make it a dialog system that is …

Pattern Discovery using QG for Question-Answering Pairs
W Suwarningsih, I Supriana… – International Journal on …, 2016 – search.proquest.com
… The establishment of a parse tree with semantic labelling was required to define the phrase or keywords contained in … Koichiro Yoshino, Shinsuke Mori, and Tatsuya Kawahara, “Language Modeling for Spoken Dialogue System based on Sentence Transformation and Filtering …

Curing Tests on Online Authentication Threats with the Scope of Machine Translation Application
A Clementeena, P Sripriya – ijeter.everscience.org
… 2.10 Parsing Determining the parse tree which is also called as grammatical analysis of a given sentence. … Natural language interfaces or joins with a system of database or a dialogue system and this application act a major role in natural language processing. …

Natural language parsing: Using finite state automata
R Rangra – Computing for Sustainable Global Development …, 2016 – ieeexplore.ieee.org
… For the reconstruction of this connection we need a parsing technique [2]. A parse tree is a graphical representation of … and language modeling for tasks such as speech recognition, to Natural Language Understanding (NLU) tasks, including dialog systems, command systems …

Knowledge as a Teacher: Knowledge-Guided Structural Attention Networks
A Celikyilmaz, J Gao, L Deng – researchgate.net
… 1 Introduction In the past decade, goal-oriented spoken dialogue systems (SDS), such as the virtual personal assis- … (2013) and Chen et al. (2015) proposed approaches that leverage linguistic knowledge encoded in parse trees for language understanding, where the ex- …

Spoken Language Understanding
M McTear, Z Callejas, D Griol – The Conversational Interface, 2016 – Springer
… In commercial work, on the other hand, for example, in domain-specific spoken dialog systems and in interactions with virtual personal assistants and … various features, such as the phrase type of the constituent, the constituent’s headword, and the path in the parse tree from the …

Interlingua-based English-Korean Two-way Speech Translation of Doctor-Patient Dialogues with
YSUK LEE, DJ SINDER, CJ WEINSTEIN – JSTOR
… The need for communicating in at least two different languages poses a problem not present for a monolingual spoken language dialogue system, where no MT engine is embedded within the process flow. … Figure 4. Parse Tree for the utterance Have you had any alcohol?. …

Exploring the steps of Verb Phrase Ellipsis.
Z Liu, EG Pellicer, D Gillick – CORBON@ HLT-NAACL, 2016 – nlp.ipipan.waw.pl
… VPE resolution is necessary for deeper Natural Language Understanding, and can be beneficial for instance in dialogue systems or Information Extrac … the corpus by search- ing for “empty verb phrases”(constructions with an auxiliary verb only) in the gold standard parse trees. …

Predictive Incremental Parsing Helps Language Modeling.
A Köhn, T Baumann – COLING, 2016 – aclweb.org
… that are derivable for the prefix ending in the queried N-gram divided by the probability of all parse trees for the … Second, our approach is applicable to online decoding for incremental systems such as highly interactive spoken dialogue systems, whereas other methods are often …

Syntactic Well-Formedness Diagnosis and Error-Based Coaching in Computer Assisted Language Learning using Machine Translation
LM da Costa, F Bond, H Xiaoling – NLPTEA 2016, 2016 – aclweb.org
… The names of these rules are important, since checking the nodes of a parse tree can easily identify that the sentence was not grammatical … The MT Based Ambiguity Solver is a basic dialog system (similar to Figure 1) that will request help from the student to decide what the …

Towards an intelligent system for generating an adapted verbal and nonverbal combined behavior in human–robot interaction
A Aly, A Tapus – Autonomous Robots, 2016 – Springer
… Later on, some research studies discussed how persuasive will be the dialogue systems that are adapted to the user’s model (including the … tagging module receives an XML tagged text generated from PERSONAGE generator, and converts it into a parse tree with different …

SUBTLE: Situation Understanding Bot through Language and Environment
HA Yanco, H Kress-Gazit, H Yanco, DJ Brooks… – 2016 – dtic.mil
Page 1. Standard Form 298 (Rev 8/98) Prescribed by ANSI Std. Z39.18 215-898-2538 W911NF-07-1-0216 52555-MA-MUR.19 Final Report a. REPORT 14. ABSTRACT 16. SECURITY CLASSIFICATION OF: While highly constrained …

An empirical analysis of formality in online communication
E Pavlick, J Tetreault – … of the Association for Computational Linguistics, 2016 – transacl.org
… As a result, the ability to recognize for- mality is an integral part of dialogue systems (Mairesse, 2008; Mairesse and Walker, 2011; Battaglino and … described in Table 5. To the best of our knowledge, 5 of these feature groups (ngrams, word embeddings, parse tree pro- ductions …

Character Identification on Multiparty Conversation: Identifying Mentions of Characters in TV Shows.
YH Chen, JD Choi – SIGDIAL Conference, 2016 – aclweb.org
… Information regarding mentions, such as plurality, gender, and parse tree, is extracted during mention detection and used as global features. … 2015. The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi- Turn Dialogue Systems. …

An architecture for telenoid robot as empathic conversational android companion for elderly people
R Sorbello, A Chella, M Giardina, S Nishio… – … Autonomous Systems 13, 2016 – Springer
… 4 Question answer results of telenoid dialogue system. For K equal to 38 and for 251 responses (using an extension of user query through the use of POS, headword and Wh-Word parse trees), representing about 84 % of the questions, the system is able to identify correctly both …

Information Extraction from Spoken Diet Records
AK Gaddipati – ace.cs.ohiou.edu
… these components are propagated at each stage of the system pipeline which can hamper the performance of the overall dialogue system. With the recent advancements in deep learning, … Socher et al. (2012) used syntactic parse trees and recurrent neural networks, which are …

Speech Act Identification Using Semantic Dependency Graphs with Probabilistic Context-Free Grammars
JF Yeh – ACM Transactions on Asian and Low-Resource …, 2016 – dl.acm.org
… Because the structural information in a sentence in natural language is rich, PCFGs are used to generate possible parse trees. … of the traditional slot filler structure, the values of the semantic slot are reset when the task switches in conventional spoken dialogue systems. …

An efficient automated design to generate UML diagram from Natural Language Specifications
S Gulia, T Choudhury – Cloud System and Big Data …, 2016 – ieeexplore.ieee.org
… NLP is basically used to do automatic (machine) translation among languages ,another application include dialogue systems that approve an individual to interact with a machine using natural language and information wrenching which aims to transform … Parse tree: (ROOT (S …

Language Processing with Perl and Prolog
PM Nugues – 2016 – 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 …

Error Analysis in an Automated Narrative Information Extraction Pipeline
J Valls-Vargas, J Zhu, S Ontanon – IEEE Transactions on …, 2016 – ieeexplore.ieee.org
… Fig. 1. Parse tree annotated by Voz after the mention extraction process. Margaretha & DeVault [37] tackle the issue of automated eval- uation of pipeline architectures in natural language dialogue systems using a Wizard-of-Oz approach and simulations of the pipeline process. …

Language as mechanisms for interaction
R Kempson, R Cann, E Gregoromichelaki… – Theoretical …, 2016 – degruyter.com
Jump to ContentJump to Main Navigation …

Dependency Parsing and Empty Category Detection in Hindi Language
K PUNEETH – 2016 – web2py.iiit.ac.in
… It plays an important role in a lot of applications like machine translation, word-sense disambiguation, search engines, dialogue systems etc. … 2.3 Treebanks Treebanks are text corpora in which each sentence associates with a parse tree, ie annotated with a syntactic structure. …

Selecting Domain-Specific Concepts for Question Generation With Lightly-Supervised Methods.
Y Jin, P Le – INLG, 2016 – anthology.aclweb.org
… Our two systems also generated more grammati- cal Q&A pairs. Heilman’s system relied heavily on manual transformation rules on the parse tree to sim- plify sentences. … 2001. Natural language sales assistant-a web-based dialog system for online sales. In IAAI, pages 19–26. …

A study of the use of natural language processing for conversational agents
RS Wilkens – 2016 – lume.ufrgs.br
… by several terms, including animated agents or embedded conversational agents (ECA). A dialogue system has six basic components. (1) The speech recognition component is res- … In this sense dialogue systems provide a natural language interaction with the user. …

Incrementally resolving references in order to identify visually present objects in a situated dialogue setting
C Kennington – 2016 – pub.uni-bielefeld.de
… The practical goal of such a model is for it to be implemented as a component for use in a live, interactive, autonomous spoken dialogue system. … Page 4. 4 Acknowledgements Upon arrival at Bielefeld, my knowledge about dialogue systems research was impoverished at best. …

When the Answer comes into Question: Survey and open issues
AC Mendes, L Coheur – inesc-id.pt
… Besides the above mentioned works and all the work being carried out in dialogue systems and IR, to our best knowledge there is no other QA … The answer is built based on the match between the parse tree of the question and the trees stored in the knowledge base of the NPC …

Syntax-based statistical machine translation
P Williams, R Sennrich, M Post… – Synthesis Lectures on …, 2016 – morganclaypool.com
… 2010 Page 8. v 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 Introduction …

Deep learning for sentiment analysis
LM Rojas?Barahona – Language and Linguistics Compass, 2016 – Wiley Online Library
By continuing to browse this site you agree to us using cookies as described in About Cookies. Remove maintenance message. …

Improving Statistical Machine Translation with Target-Side Dependency Syntax
WR John – 2016 – repository.kulib.kyoto-u.ac.jp
Page 1. Title Improving Statistical Machine Translation with Target-Side Dependency Syntax( Dissertation_?? ) Author(s) John, Walter Richardson Citation Kyoto University (????) Issue Date 2016-09-23 URL https://dx.doi.org/10.14989/doctor.k20022 Right …

A Base Camp for Scaling AI
CJC Burges, T Hart, Z Yang, S Cucerzan… – arXiv preprint arXiv …, 2016 – arxiv.org
… 1We also use “TAL” to denote the overall dialog system itself, when the meaning is clear from context. … The speed issues are harder to address and would likely have proven a show stopper to shipping TAL (imagine having to compute the parse trees and SRL for the inputs from …

Towards a composite event-based language for describing multimodal interactions
F Cuenca – 2016 – academia.edu
Page 1. Towards a composite event-based language for describing multimodal interactions Fredy Cuenca Promotor: Prof. Dr. Karin Coninx Copromotor: Prof. Dr. Kris Luyten January 27, 2016 Page 2. i I am weary of my wisdom …

Surface Realisation from Knowledge Bases
B Gyawali – 2016 – hal.inria.fr
Page 1. Surface Realisation from Knowledge Bases Bikash Gyawali To cite this version: Bikash Gyawali. Surface Realisation from Knowledge Bases. Computation and Language [cs.CL]. Universite de Lorraine, 2016. English. HAL Id: tel-01276008 …

A natural language interface concordant with a knowledge base
YJ Han, SB Park, SY Park – Computational intelligence and …, 2016 – dl.acm.org
… grammar-based NLIs use special semantic markers for non- terminal nodes instead of syntactic markers [6]. This allows a formal query to be generated directly from a parse tree instead of … The classification-based approach has been extensively studied for dialog systems [7, 19 …

Incremental Segmentation and Annotation Strategies for Real-time Natural Language Processing Applications
M Yarmohammadi – 2016 – digitalcommons.ohsu.edu
… 10 2.3 (a) A context-free grammar and (b) parse tree for example string aaabbb. . . . . … 25 2.11 (a) The full parse tree, (b) shallow parse tree, (c) flat bracketing notation and IOB tagged notation of the chunks, for an example sentence. . . . . …

Automatic sarcasm detection: A survey
A Joshi, P Bhattacharyya, MJ Carman – arXiv preprint arXiv:1602.03426, 2016 – arxiv.org
… [2015] present two rule-based classifiers. The first uses a parse–based lexicon gener- ation algorithm that creates parse trees of sentences and identifies situation phrases that bear sentiment. If a negative phrase occurs in a positive sentence, it is predicted as sarcastic. …

Mobile Manipulation, Tool Use, and Intuitive Interaction for Cognitive Service Robot Cosero
J Stückler, M Schwarz… – Frontiers in Robotics …, 2016 – pdfs.semanticscholar.org
Page 1. November 2016 | Volume 3 | Article 58 1 …

Formal Models from Controlled Natural Language Via Cognitive Grammar and Configuration
MR Selway – 2016 – kse.cis.unisa.edu.au
Page 1. Formal Models from Controlled Natural Language via Cognitive Grammar and Configuration by Matt Selway Bachelor of Computer Science (Honours) A thesis submitted in partial fulfillment for the degree of Doctor of Philosophy in the …

Formal specification level
M Soeken, R Drechsler – 2016 – Springer
… sentences. An implementation concept for the first approach is given as the integrated development environment lips which particularly focuses on the dialog system for the information transfer between the designer and the computer. …

Computational methods in semantics
G Recski – 2016 – nytud.hu
Page 1. Computational Methods in Semantics Gábor Recski Ph.D. Dissertation Supervisor: András Kornai D.Sc. Ph.D. School of Linguistics Gábor Tolcsvai Nagy MHAS Theoretical Linguistics Ph.D Program Zoltán Bánréti C.Sc. Department of Theoretical Linguistics …

Automating Language Sample Analysis
E Morley – 2016 – digitalcommons.ohsu.edu
Page 1. Oregon Health & Science University OHSU Digital Commons Scholar Archive 4-2016 Automating Language Sample Analysis Eric Morley Follow this and additional works at: http://digitalcommons.ohsu.edu/etd Part of the Computer Engineering Commons …

Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics
P Wiriyathammabhum, D Summers-Stay… – ACM Computing …, 2016 – dl.acm.org
… parse graph ACM Computing Surveys, Vol. 49, No. 4, Article 71, Publication date: December 2016. Page 10. 71:10 P. Wiriyathammabhum et al. in which attributes are augmented to nodes in the parse tree. For multitask learning …

Methods for open information extraction and sense disambiguation on natural language text
L Del Corro – 2016 – scidok.sulb.uni-saarland.de
… Keyword Search Taxonomy Induction Summarization Machine Translation Semantic Parsing Credibility Assessment Event Extraction Word Sense Induction Dialogue Systems Text Categorization Privacy KB Maintenance Rule Mining Figure 1.1 Text to ontology: related work …

Automatic Annotation and Assessment of Syntactic Structures in Law Texts
K Sugisaki – 2016 – sugisaki.ch
Page 1. Automatic Annotation and Assessment of Syntactic Structures in Law Texts Combining Rule-Based and Statistical Methods Thesis presented to the Faculty of Arts and Social Sciences of the University of Zurich for the degree of Doctor of Philosophy by Kyoko Sugisaki …

Linguistic Knowledge in Data-Driven Natural Language Processing
Y Tsvetkov – 2016 – cs.cmu.edu
… driven models underperform in low-resource settings: they are inadequate, for example, to translate African languages, to detect metaphors in Russian and Persian, to grammatically parse Cantonese, to model Latin or Hebrew morphology, to build dialog systems for indigenous …

Data-driven natural language generation using statistical machine translation and discriminative learning
E Manishina – 2016 – theses.fr
… Most modern systems communicating directly with the user share one common feature: they have a dialog system (DS) at their base. As of … Chapter 1 Introduction 1.1 Dialog systems The humanity has long been passionate about creating intelligent machines that can freely …

Learning Open Domain Knowledge From Text
GG Angeli – 2016 – nlp.stanford.edu
Page 1. LEARNING OPEN DOMAIN KNOWLEDGE FROM TEXT A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY …

Sequential decisions and predictions in natural language processing
H He – 2016 – search.proquest.com
… 4. 1.3 Dependency parse tree of an example sentence ($ represents the root). 7. … Dependency Parsing The goal of dependency parsing is to nd the syntactic structure of a sentence in the form of a dependency tree. Figure 1.3 shows the parse tree for a sentence. …

An Exploratory Study on Process Representations
CN Naik – 2016 – search.proquest.com
… many potential applications in NLP and have been shown to benet question answering [7, 8], textual entailment [9], machine translation [1012], and dialogue systems [13, 14 … This process can proceed recursively, following a parse tree to produce a composite sentence meaning. …

Large Scale Data Enabled Evolution of Spoken Language Research and Applications
S Jothilakshmi, VN Gudivada – Handbook of Statistics, 2016 – Elsevier
Natural Language Processing (NLP) is an interdisciplinary field whose goal is to analyze and understand human languages. Natural languages are used in two forms.

Bayesian analysis in natural language processing
S Cohen – Synthesis Lectures on Human Language …, 2016 – 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 …

Design of multimodal mobile interfaces
K Brown, D Dahl, A Degani, A Rudnicky, B van Over… – 2016 – books.google.com
… An additional use case of interaction and context data is laid out in Spoken dialog systems adaptation for domains and for users by Sun and Rudnicky. In this chapter Spoken Dialog Systems are the framework for a discussion …

Grounding robot motion in natural language and visual perception
SA Bronikowski – 2016 – search.proquest.com
… The syntactic parser, as built by the authors, parses the raw route instruction text using the Python Natural Language Toolkit [36]. However, in testing the authors chose to take this layer out of play, instead using a set of hand-veried parse trees as input. …

A thorough comparison of NLP tools for requirements quality improvement
B Arendse – 2016 – dspace.library.uu.nl
… Some NLP tools use an external parser for this (eg Standford Parser, Minipar, and Treetagger), while other NLP tools developed their own parser. These parsers differ in the way they process NL and in the output they return (eg parse tree vs. ER diagram) (Liddy, 2001). …

Designing Regularizers and Architectures for Recurrent Neural Networks
D Krueger – 2016 – papyrus.bib.umontreal.ca
Page 1. Université de Montréal Designing Regularizers and Architectures for Recurrent Neural Networks par David Krueger Département d’informatique et de recherche opérationnelle Faculté des arts et des sciences Mémoire …

Automatic text and speech processing for the detection of dementia
K Fraser – 2016 – search.proquest.com
… difculty of a text based on the presence of various patterns and structures), Propositional Density (PDensity; a measure of the amount of semantic content in a text), two variants of Yngve depth (a tree-based measure that measures how left-branching a parse tree is), and two …