Dependency Grammar & Dialog Systems


Dependency Grammar (Implementations)

Notes:

  • Dependency parser
  • Dependency parsing

See also:

Natural Language Parsing | MaltParser Dependency Parser


Evaluating language understanding accuracy with respect to objective outcomes in a dialogue system MO Dzikovska, P Bell, A Isard, JD Moore – … of the 13th Conference of the …, 2012 – dl.acm.org … It can be used straightforwardly with many current spoken dialogue systems which rely on classifiers to support language understanding in domains such as call routing and … (2008) proposed an annota- tion scheme based on the output of a dependency parser, and trained a … Cited by 5 Related articles All 14 versions Cite Save

Dialogue Acts Annotation for NICT Kyoto Tour Dialogue Corpus to Construct Statistical Dialogue Systems. K Ohtake, T Misu, C Hori, H Kashioka, S Nakamura – LREC, 2010 – lrec-conf.org … In addition, if the SA tag is used as an input of a dialogue system, the unit should be detected automatically (not manually). … Annotating dependency re- lations is more intuitive and is easier than annotating the syntax structure; moreover, a dependency parser is more robust for … Cited by 3 Related articles All 4 versions Cite Save More

Freeling 3.0: Towards wider multilinguality L Padró, E Stanilovsky – 2012 – upcommons.upc.edu … dependency parser: Receives a list of parsed sentence and enriches each of them with a dependency tree. … Vi-Clone: Impressive virtual assistants for corporate web pages. Some FreeLing components are being in- tegrated in the dialog system. … Cited by 66 Related articles All 6 versions Cite Save

Very high accuracy and fast dependency parsing is not a contradiction B Bohnet – Proceedings of the 23rd International Conference on …, 2010 – dl.acm.org … However, pars- ing and training times are still relatively long. To determine why, we analyzed the time usage of a dependency parser. We il- lustrate that the mapping of the features onto their weights in the support vector machine is the major factor in time com- plexity. … Cited by 167 Related articles All 8 versions Cite Save

Learning about voice search for spoken dialogue systems RJ Passonneau, SL Epstein, T Ligorio… – … : The 2010 Annual …, 2010 – dl.acm.org … 9 Conclusion and Current Work This paper presents a novel methodology that em- beds wizards in a spoken dialogue system, and col- lects data for a single turn exchange. … MICA: a probabilistic dependency parser based on tree insertion grammars. Application Note. … Cited by 11 Related articles All 16 versions Cite Save

Freeling 2.1: Five years of open-source language processing tools L Padró, M Collado, S Reese, M Lloberes, I Castellón – 2010 – upcommons.upc.edu … are a need for most natural lan- guage processing (NLP) applications such as Machine Translation, Summarization, Dialogue systems, Text mining, etc. … dependency parser: Receives a list of parsed sentence and enriches each of them with a dependency tree. … Cited by 83 Related articles All 12 versions Cite Save

Baby talk: Understanding and generating simple image descriptions G Kulkarni, V Premraj, S Dhar, S Li… – Computer Vision and …, 2011 – ieeexplore.ieee.org … ing (NLP) and is core to a wide range of NLP applica- tions such as machine translation, summarization, dialogue systems, and machine … Each sentence from this descriptions set is parsed by the Stanford dependency parser [5] to generate the parse tree and dependency list for … Cited by 93 Related articles All 14 versions Cite Save

Dialogue acts annotation to construct dialogue systems for consulting K Ohtake, T Misu, C Hori, H Kashioka… – … Dialogue Systems …, 2011 – Springer … Page 17. Dialogue Acts Annotation to Construct Dialogue Systems for Consulting 247 … Third, a dependency analysis is performed using a Japanese dependency parser, CaboCha 4 . Finally, we annotate the semantic content tags for each bunsetsu unit using our annotation tool. … Cited by 1 Related articles All 2 versions Cite Save

“Can you give me another word for hyperbaric?”: Improving speech translation using targeted clarification questions NF Ayan, A Mandal, M Frandsen… – … , Speech and Signal …, 2013 – ieeexplore.ieee.org … ambiguity, and informality of natural spoken language have a significant negative impact on the overall per- formance of existing dialog systems. … It employs a condi- tional random field (CRF) tagger, a dependency parser, and an error hypothesis re-ranker to process all the … Cited by 2 Related articles All 4 versions Cite Save

Ensembling various dependency parsers: Adopting turbo parser for indian languages P Kukkadapu, DK Malladi… – 24th International …, 2012 – newdesign.aclweb.org … sentence. It plays an important role in a lot of applications like machine translation, word sense disambiguation, search engines, dialogue systems etc. … previously. The number of features a dependency parser uses are typically huge. … Cited by 2 Related articles All 8 versions Cite Save More

Help yourself: a virtual self-assist system S Mukherjee, S Joshi – Proceedings of the companion publication of the …, 2014 – dl.acm.org … The dialogue system uses the graph as its knowledge base in conducting a dialogue with a user. The dialogue system has the following modules: … Stanford dependency parser [1] is used during in- tent classification and user response classification. … Cite Save

Incremental and Predictive Dependency Parsing under Real-Time Conditions A Köhn, W Menzel – Proceedings of RANLP, 2013 – aclweb.org … Abstract We present an incremental dependency parser which derives predictions about the upcoming structure in a parse-as-you- type mode. … 1 Introduction Users prefer incremental dialogue systems to their non-incremental counterparts (Aist et al., 2007). … Cited by 1 Related articles All 5 versions Cite Save More

An Evaluation Framework for Natural Language Understanding in Spoken Dialogue Systems. JB Gordon, RJ Passonneau – LREC, 2010 – researchgate.net … to-end evaluation framework which facilitates assessing the robustness to noise of NLU frameworks for information seeking, transaction based Spoken Dialogue Systems across varying … MICA: a probabilistic dependency parser based on tree insertion grammars application note … Cited by 4 Related articles All 7 versions Cite Save More

Automatic dialogue act recognition with syntactic features P Král, C Cerisara – Language Resources and Evaluation, 2014 – Springer … shown in column 2. This choice of dialogue acts has been done because our DA recognition module is designed to be used with a rule-based dialogue system that only … Our dependency parser is the Malt Parser v 1.3 trained on 32,616 sentences (567,384 words) from PDT 2.0. … Cite Save

The role of knowledge and certainty in understanding for dialogue SL Epstein, RJ Passonneau, J Gordon… – AAAI Fall Symp on …, 2011 – aaai.org … Abstract As people engage in increasingly complex conversations with computers, the need for generality and flexibility in spoken dialogue systems becomes more apparent. This pa- per describes how three different spoken … Cited by 3 Related articles All 11 versions Cite Save

Robust spoken instruction understanding for HRI R Cantrell, M Scheutz… – … -Robot Interaction (HRI) …, 2010 – ieeexplore.ieee.org … argument (as described below). The algo- rithm was adapted from MaltParser, a shift-reduce dependency parser [21] that maximizes the probability over individual actions (rather than over a full utterance). Incrementality refers to … Cited by 38 Related articles All 7 versions Cite Save

Sentence simplification for spoken language understanding G Tur, D Hakkani-Tur, L Heck… – Acoustics, Speech and …, 2011 – ieeexplore.ieee.org … Spoken language understanding (SLU) in human/machine spoken dialog systems aims to automatically identify the intent of the user as … we take is approximating this behavior via sentence simplification based on syntactic information using a dependency parser as explained … Cited by 8 Related articles All 14 versions Cite Save

FudanNLP: A toolkit for Chinese natural language processing X Qiu, Q Zhang, X Huang – Proceedings of ACL, 2013 – Citeseer … Currently, our toolkit has been used by many universities and companies for various applications, such as the dialogue system, so- cial computing … So we select the dependency parser to avoid the minutiae in syntactic con- stituents and wish to pay more attention to the … Cited by 6 Related articles All 6 versions Cite Save More

Tamil dependency parsing: results using rule based and corpus based approaches L Ramasamy, Z Žabokrtský – Computational Linguistics and Intelligent …, 2011 – Springer … Annotation is divided into two parts: (i) POS tagging of the data and (ii) assigning relations and dependency structure to words. Tagging the data with POS is necessary as our rule based dependency parser often use POS tags of words to predict dependency relations. … Cited by 5 Related articles All 4 versions Cite Save

Prediction of Visual Backchannels in the Absence of Visual Context Using Mutual Influence D Ozkan, LP Morency – Intelligent Virtual Agents, 2013 – Springer … The syntactic structure is produced automatically using a data-driven left-to-right shift-reduce dependency parser [30], trained POS on dependency trees extracted from the Switchboard section of the Penn Treebank [31], converted to dependency trees using the Penn2Malt tool1 … Related articles All 3 versions Cite Save

Incrementally biasing visual search using natural language input E Krause, R Cantrell, E Potapova, M Zillich… – Proceedings of the …, 2013 – dl.acm.org … 3.1 Incremental NL The overall incremental natural language system uses a shift-reduce dependency parser (a reimplementation of Malt- Parser) trained on approximately 2500 sentences comprising the training set (sections 02–21) of the Wall Street Journal (WSJ) corpus. … Cited by 4 Related articles All 5 versions Cite Save

Improved models of syntactic-semantic parsing, for English and French. L van der Plas, J Henderson, P Merlo – 2011 – wcms.inf.ed.ac.uk … task of 2009 on syntactic and semantic dependency parsing for seven languages, with the syntactic-semantic dependency parser described in … in time is not identified as a locative, whereas keyword-spotting techniques as those currently used in dialogue systems may produce … Related articles All 2 versions Cite Save More

Data-Driven Methods for Spoken Language Understanding J Henderson, F Jur?í?ek – … Methods for Adaptive Spoken Dialogue Systems, 2012 – Springer … user trials in which users searched for information about a specific venue by interacting with a dialogue system in a … of using manually annotated word dependencies, the TBL method uses automatically generated dependencies provided by the RASP dependency parser [3]. … Related articles All 4 versions Cite Save

Large vocabulary Russian speech recognition using syntactico-statistical language modeling A Karpov, K Markov, I Kipyatkova, D Vazhenina… – Speech …, 2014 – Elsevier … The syntactic discriminative LM was trained using dependency parser and part-of-speech (POS) tagger, which results in significant … parser for spontaneous speech recognition outputs is used for identification of verbal sub-categorization frames for dialogue systems and spoken … Cited by 3 Related articles All 3 versions Cite Save

Spoken language understanding using finite state tagger and long-range dependency parsing W Zhou, B Yuan – Signal Processing (ICSP), 2010 IEEE 10th …, 2010 – ieeexplore.ieee.org … with individual words is a time-consuming task, which results in large maintenance and portability costs during dialogue system development, thereby mitigating … In our experiment, we used dependencies provided by HIT dependency parser [17] for utterance texts in Chinese. … Related articles All 2 versions Cite Save

Automatic committed belief tagging V Prabhakaran, O Rambow, M Diab – Proceedings of the 23rd …, 2010 – dl.acm.org … We used the MICA deep dependency parser (Banga- lore et al., 2009) for parsing in order to derive the syntactic features. … A dialog act repre- sents the communicative intention of the speaker, and its recognition is crucial for the building of dialog systems. … Cited by 14 Related articles All 12 versions Cite Save

Grammar-driven versus data-driven: which parsing system is more affected by domain shifts? B Plank, G Van Noord – Proceedings of the 2010 Workshop on NLP and …, 2010 – dl.acm.org … (1) Alpino is a parser for Dutch which has been developed over the last ten years, on the ba- sis of a domain-specific HPSG-grammar that was used in the OVIS spoken dialogue system. … 26 Page 3. data-driven graph-based dependency parser. … Cited by 9 Related articles All 20 versions Cite Save

Parallel Syntactic Annotation in CReST S Kübler, E Baucom, M Scheutz – Linguistic Issues in Language …, 2012 – elanguage.net … 1 Introduction Despite the increasing interest in spoken natural language interactions in dialogue systems and with robots and other types of … Instead, the sentences were parsed by a dependency parser trained on the Penn dependencies; then they were corrected manually. … Cited by 1 Related articles All 5 versions Cite Save More

Data mining to support human-machine dialogue for autonomous agents SL Epstein, R Passonneau, T Ligorio… – Agents and Data Mining …, 2012 – Springer … Despite careful engineering in the laboratory, ASR performance in fielded research dialogue systems commonly has a word error rate (WER) at best near 30%-35% and as high as 70% [4]. One way to minimize both … (MICA is a broad-coverage dependency parser [25].) Before … Cited by 1 Related articles All 11 versions Cite Save

Parallel Syntactic Annotation in CReST E Baucom, M Scheutz – Linguistic Issues in Language Technology, 2012 – elanguage.net … 1 Introduction Despite the increasing interest in spoken natural language interactions in dialogue systems and with robots and other types of … Instead, the sentences were parsed by a dependency parser trained on the Penn dependencies; then they were corrected manually. … Related articles All 2 versions Cite Save

Using syntactic and semantic based relations for dialogue act recognition T Klüwer, H Uszkoreit, F Xu – … of the 23rd International Conference on …, 2010 – dl.acm.org … These systems are often part of an entire dialogue system eg in a conversational agent which provides the necessary information about … The embedded dependency parser is the Stan- ford Dependency Parser (de Marneffe and Man- ning, 2008), but other dependency parsers … Cited by 9 Related articles All 8 versions Cite Save

Semantic services in freeling 2.1: Wordnet and ukb L Padró, S Reese, E Agirre, A Soroa – 2010 – upcommons.upc.edu … are needed for most natural language processing (NLP) applica- tions such as Machine Translation, Summariza- tion, Dialogue systems, Text mining, etc. … dependency parser: Receives a list of parsed sentence and enriches each of them with a dependency tree. … Cited by 17 Related articles All 9 versions Cite Save

ASR error segment localization for spoken recovery strategy F Béchet, B Favre – Acoustics, Speech and Signal Processing ( …, 2013 – ieeexplore.ieee.org … The most significant error segment is passed to a dialog system for interactive recovery in which rephrased words are reinserted in the … Syntactic features: the transcriptions are processed by the MACAON NLP tool chain [10] that includes a POS tagger and a dependency parser. … Cited by 4 Related articles All 2 versions Cite Save

Helping Agents Help Their Users Despite Imperfect Speech Recognition. JB Gordon, RJ Passonneau, SL Epstein – … : Help Me Help You: Bridging the …, 2011 – aaai.org … dependency parser based on tree insertion grammars. In Proc. of the NAACL HLT 2009 Companion Volume: Short Papers, pp. 185-188. Blaylock, N.; Allen, J.; and Ferguson, G. 2002. Synchro- nization in an asynchronous agent-based architecture for dialogue systems. In Proc. … Cited by 4 Related articles All 11 versions Cite Save

Extending the MPC corpus to Chinese and Urdu-A Multiparty Multi-Lingual Chat Corpus for Modeling Social Phenomena in Language. T Liu, S Shaikh, T Strzalkowski, GA Broadwell… – LREC, 2012 – lrec-conf.org … These automated models will help capture the dialogue dynamics that are essential for developing, among others, realistic human-machine dialogue systems, including autonomous virtual chat agents. … (2010). Urdu dependency parser: A data-driven approach. … Cited by 4 Related articles All 2 versions Cite Save More

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 Cite Save More

Modeling wisdom of crowds using latent mixture of discriminative experts D Ozkan, LP Morency – Proceedings of the 49th Annual Meeting of the …, 2011 – dl.acm.org … Syntactic structure: Using a CRF part-of-speech (POS) tagger and a data-driven left-to-right shift- reduce dependency parser (Sagae and Tsujii, 2007) we extract four types of features from a … 2007. A spoken dialog system for chat-like conversations considering response timing. … Cited by 4 Related articles All 13 versions Cite Save

A noisy channel approach to error correction in spoken referring expressions SN Kim, I Zukerman, T Kleinbauer… – Proceedings of the 6th …, 2013 – aclweb.org … Geertzen (2009) used a shallow parser to de- tect semantic units only when a dependency parser failed to produce a parse tree. In contrast, our shal- low semantic parser is part of a noisy channel model that post-processes the output of an ASR. 3 System Design … Cited by 1 Related articles All 5 versions Cite Save More

The IMIX demonstrator: An information search assistant for the medical domain D Hofs, B van Schooten, R op den Akker – Interactive Multi-modal Question …, 2011 – Springer … The framework supports the modularisation of the dialogue system into distinct and independent software modules to allow maximum decoupling of modules, a facility that is urgently needed in a project like the IMIX project, with largely … It uses the Alpino dependency parser. … Cited by 1 Related articles All 9 versions Cite Save

Incremental referent grounding with nlp-biased visual search R Cantrell, E Krause, M Scheutz, M Zillich… – Proceedings of AAAI …, 2012 – aaai.org … Incremental NL Our incremental natural language system uses a shift-reduce dependency parser trained on approximately 2500 sen- tences comprising the training set (sections 02–21) of the Wall Street Journal (WSJ … Deep linguistic processing for spoken dialogue systems. … Cited by 2 Related articles All 6 versions Cite Save

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

Short answer assessment: Establishing links between research strands R Ziai, N Ott, D Meurers – Proceedings of the Seventh Workshop on …, 2012 – dl.acm.org … While Makatchev and VanLehn (2007) position their approach in the context of the Why2 tutorial dialogue system, their use of semantic classes seems to make them more related to meaning … Student responses and target responses are annotated using a dependency parser. … Cited by 8 Related articles All 14 versions Cite Save

Optimization Tasks in the Conversion of Natural Language Texts into Function Calls P Barabás, L Kovács – Applied Information Science, Engineering and …, 2014 – Springer … Our goal is to define and implement a natural language framework using a frame- based dialog system that can be applied to robot … University of Szeged, which contains a sentence splitter, a tokenizer, a POS tagger and lemmatizer, stop word filtering and a dependency parser. … Related articles All 2 versions Cite Save

Opinion and suggestion analysis for expert recommendations A Stavrianou, C Brun – Proceedings of the Workshop on Semantic …, 2012 – dl.acm.org … OPINION POSITIVE(expensive,printer): the dependency parser also extracts an … 2002. Natural language assistant: A dialog system for online product recommenda- tion. AI Magazine, 23(2). Xiaowen Ding and Bing Liu. 2007. The utility of linguistic rules in opinion mining. … Cited by 3 Related articles All 9 versions Cite Save

Latent mixture of discriminative experts for multimodal prediction modeling D Ozkan, K Sagae, LP Morency – … of the 23rd International Conference on …, 2010 – dl.acm.org … in- cluding conversation analysis, social signal pro- cessing, adaptation, corpus analysis and model- ing, perceptual experiments, and dialog systems- building and … a CRF part- of-speech (POS) tagger and a data-driven left-to- right shift-reduce dependency parser (Sagae and … Cited by 9 Related articles All 13 versions Cite Save

NICT speech and language resources and corpora S Nakamura, K Torisawa, H Kawai… – Proceedings of Oriental …, 2010 – desceco.org … source software Hypernym/Hyponym extraction tool for Wikipedia Multilingual morphological analyzer (MMA) Chinese dependency parser (CNP) … Nakamura, “Dialogue acts annotation for NICT Kyoto tour dialogue corpus to construct statistical dialogue systems,” In proceedings … Cited by 1 Related articles Cite Save More

A New Approach to Ranking Over-Generated Questions CC McConnell, P Mannem, R Prasad… – Proceedings of the AAAI …, 2011 – aaai.org … The out- put of such a task would prove valuable in areas such as education, dialog systems and Internet search. … system first ranks questions according to the depth of the predicate in the dependency parse (obtained with a bidirectional LTAG dependency parser [Shen and … Cited by 1 Related articles All 3 versions Cite Save

Toward Spoken Dialogue as Mutual Agreement. SL Epstein, JB Gordon, RJ Passonneau… – Metacognition for Robust …, 2010 – aaai.org … The next section of this paper describes the challenges inherent in spoken dialogue systems. … The rules for CheckItOut’s book title CFG were automatically pro- duced from full syntactic parses of Heiskell’s book titles, with a broad coverage dependency parser (Bangalore et al … Cited by 1 Related articles All 9 versions Cite Save

Natural Language processing Tools for Tamil grammar Learning and Teaching V Dhanalakshmi, S Rajendran – International journal of Computer …, 2010 – Citeseer … ”Figure 4” shows the user interface of Tamil Dependency parser. “Figure 4. GUI for Dependency Parsing” … Question answering system Automatic sentence Analyzer/generator Speech and Dialogue system Knowledge representation in learning Automatic assessment tool 10. … Cited by 7 Related articles All 3 versions Cite Save More

Natural Language Processing for Joint Fire Observer Training A Roque, K Georgila, R Artstein, K Sagae, DR Traum – 2010 – DTIC Document … This work includes improved semi-automated dialogue systems, analysis of complex language in Close Air Support (CAS) missions, evaluation of … As with POS tagging, we adapted an existing dependency parser (Sagae and Tsujii, 2007) for conversational language using the … Related articles All 6 versions Cite Save

Embedded wizardry RJ Passonneau, SL Epstein, T Ligorio… – Proceedings of the …, 2011 – dl.acm.org … understanding of the form. We learned decision-making strategies for a dia- logue manager from run-time features of our spoken dialogue system and from observation of human wizards we had embedded within it. Results show that … Cited by 2 Related articles All 14 versions Cite Save

Active learning for building a corpus of questions for parsing J Atserias, G Attardi, M Simi, H Zaragoza – Corpus, 2010 – Citeseer … for improving the accuracy of parsers but also in other high level natural language tasks which involve analyzing questions (eg question answering, Frequently Asked Questions retrieval, dialog systems, etc). … Experiments with a Multilanguage non-projective dependency parser. … Cited by 4 Related articles All 8 versions Cite Save More

Discriminative language modeling with linguistic and statistically derived features E Arisoy, M Saraçlar, B Roark… – Audio, Speech, and …, 2012 – ieeexplore.ieee.org … to adapt the model expectations to the topic of discourse [4]; semantic dependencies and syntactic structure for ASR [5]; and semantic analysis for spoken dialogue systems [6]. A joint morphological- … dependency parser [40] is used for the analysis. … Cited by 15 Related articles All 3 versions Cite Save

Expert Recommendations Based On Opinion Mining Of User?Generated Product Reviews A Stavrianou, C Brun – Computational Intelligence, 2013 – Wiley Online Library … OPINION_POSITIVE(astonishing,photo quality): the dependency parser extracts an attributive syntactic relation between the subject “photo quality” and the positive adjectival attribute “astonishing” from which this relation of opinion is inferred about the feature “photo quality.”. … Related articles Cite Save

Talking NPCs in a virtual game world T Klüwer, P Adolphs, F Xu, H Uszkoreit… – Proceedings of the ACL …, 2010 – dl.acm.org … ap- proach increases the flexibility of the dialog man- ager (McTear, 2002) and is particularly useful for a task-driven dialog system. … a number of surface patterns containing regular ex- pressions or via patterns reflecting the syntactic analysis of a dependency parser (de Marneffe … Cited by 5 Related articles All 12 versions Cite Save

Wizards’ dialogue strategies to handle noisy speech recognition T Ligorio, SL Epstein… – … Workshop (SLT), 2010 …, 2010 – ieeexplore.ieee.org … 11. REFERENCES [1] Bangalore, S., P. Boullier, A. Nasr, O. Rambow, and B. Sagot, “MICA: a probabilistic dependency parser based on tree insertion grammars application note”. … Communicator spoken dialog system. Technical Report No. CS- 190. … Cited by 2 Related articles All 8 versions Cite Save

Context-based bayesian intent recognition R Kelley, A Tavakkoli, C King… – Autonomous Mental …, 2012 – ieeexplore.ieee.org … allow for practical use in the field. B. Dependency Parsing and Graph Representation To obtain our pairwise relations between words, we use the Stanford labeled dependency parser. The parser takes as input a sentence and … Cited by 5 Related articles All 2 versions Cite Save

Improved sequential dependency analysis integrating labeling-based sentence boundary detection OBA Takanobu, H Takaaki… – IEICE TRANSACTIONS on …, 2010 – search.ieice.org … applications such as simultaneous speech transla- tion, real-time captioning with speech summarization, and human-like dialog systems. … The labeling system divides input sequences into bun- setsus and sentences simultaneously, and the dependency parser analyzes the … Cited by 2 Related articles All 4 versions Cite Save

Sentence Realisation from Bag-of-Words with Dependency Constraints K Kumar – 2010 – web2py.iiit.ac.in … applications such as transfer based machine translation, two-step statistical machine translation and Natural Lan- guage Generation applications such as dialogue systems. … is first parsed with an unlabeled projective dependency parser [19] to obtain the dependency constraints … Related articles All 2 versions Cite Save More

Language Technology Support for Croatian M Tadi?, D Brozovi?-Ron?evi?… – The Croatian Language in …, 2012 – Springer … Recognition 12: Speech-based dialogue system ers,withNuance(USA)andLoquendo(Italy) beingthe mostprominentplayersinEurope. In2011,Nuancean- nouncedtheacquisitionof Loquendo,whichrepresents a further step in market consolidation. … All 2 versions Cite Save

Generating example contexts to help children learn word meaning L Liu, J Mostow – Natural Language Engineering, 2013 – Cambridge Univ Press … To filter out ungrammatical contexts, we use the Link Grammar Parser (Sleator and Temperley 1993), a syntactic dependency parser, as a grammar checker. VE- GEMATIC eliminates candidates that the parser cannot parse as syntactically valid English. … Related articles All 7 versions Cite Save

Interpersonal variation in understanding robots as social actors K Fischer – Proceedings of the 6th international conference on …, 2011 – dl.acm.org … of-Oz methodology was used, which has been developed as a means to pretest the design of automatic dialog systems [9]. In … linguistic methods, checked manually for accuracy and divided by the number of turns; in addition, a constraint-based dependency parser was used to … Cited by 16 Related articles All 6 versions Cite Save

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. … Cite Save More

24th International Conference on Computational Linguistics M Kay, C Boitet – Proceedings of COLING, 2012 – newdesign.aclweb.org Page 1. COLING 2012 24th International Conference on Computational Linguistics Proceedings of COLING 2012: Technical Papers Program chairs: Martin Kay and Christian Boitet 8-15 December 2012 Mumbai, India Page 2. Diamond sponsors … All 8 versions Cite Save More

Multilingual joint parsing of syntactic and semantic dependencies with a latent variable model J Henderson, P Merlo, I Titov, G Musillo – 2013 – MIT Press … In this article, we report on a joint generative history-based model to predict the most likely derivation of a dependency parser for both syntactic and semantic dependencies, in multiple languages. … 2011), dialogue systems (Basili et al. … Related articles All 6 versions Cite Save

Spatial role labeling: Towards extraction of spatial relations from natural language P Kordjamshidi, M Van Otterlo, MF Moens – ACM Transactions on …, 2011 – dl.acm.org … Table I shows the labels assigned by a part-of-speech (POS) tagger, a dependency parser, and SRL to the preposition “about”. The parse tree, the dependency tree, and even the semantic role labeler could not distinguish between two senses of the preposition “about”. … Cited by 27 Related articles All 5 versions Cite Save

Sentiment analysis and opinion mining B Liu – Synthesis Lectures on Human Language Technologies, 2012 – morganclaypool.com … Semantic Role Labeling Martha Palmer, Daniel Gildea, Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen, Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, Zheng-sheng Zhang 2009 … Cited by 277 Related articles All 11 versions Cite Save

Songrecommend: From summarization to recommendation S Tata, B Di Eugenio – Natural Language Engineering, 2012 – Cambridge Univ Press … Figure 11 depicts the entire process of sentence partitioning and regeneration. First, to identify portions of the sentence relevant to the single feature f, we use the Stanford Typed Dependency Parser (Klein and Manning 2002; de Marneffe and Manning 2008). … Cited by 1 Related articles All 2 versions Cite Save

Probabilistic grammar induction from sentences and structured meanings TM Kwiatkowski – 2012 – era.lib.ed.ac.uk Page 1. This thesis has been submitted in fulfilment of the requirements for a postgraduate degree (eg PhD, MPhil, DClinPsychol) at the University of Edinburgh. Please note the following terms and conditions of use: • This work … Related articles All 4 versions Cite Save

Learning to interpret spatial natural language in terms of qualitative spatial relations, 2013 – books.google.com … cause errors with respect to spatial dependencies. The dependency parser relates the first appearance of ‘on’to the words ‘vase’and ‘ground’, which produces a valid spatial relation. However, the parser relates the second appearance … All 2 versions Cite Save

EXCITEMENT open platform: Architecture and Interfaces TG Noh, S Pado, A Stern, O Bronstein, R Wang… – 2013 – hltfbk.github.io Page 1. Excitement_Open_Platform_Specification http://www.project-excitement. eu/ 14 October 2013 Page 1 of 107 EXCITEMENT open platform: Architecture and Interfaces Specification V1.1.4 14 October 2013 Authors: Tae … Related articles All 2 versions Cite Save More

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.” … Cite Save

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

Processing temporal information in unstructured documents FNQMC Costa – 2013 – repositorio.ul.pt Page 1. UNIVERSIDADE DE LISBOA FACULDADE DE CIÊNCIAS DEPARTAMENTO DE INFORMÁTICA Processing Temporal Information in Unstructured Documents Francisco Nuno Quintiliano Mendonça Carapeto Costa DOUTORAMENTO EM INFORMÁTICA … Cited by 4 Related articles All 3 versions Cite Save

Blog Mining and Emotion Argumentation Argumentation SBSBS Bandyopadhyay – 2012 – dspace.jdvu.ac.in Page 1. Blog Mining and Emotion Argumentation Argumentation Thesis submitted to the Faculty of Engineering & Technology, Jadavpur University In partial fulfillment of the requirements for the Degree Of Master of Computer … Related articles All 2 versions Cite Save

Intrinsic and Extrinsic Approaches to Recognizing Textual Entailment DP der Philosophischen – 2011 – coli.uni-saarland.de … Each utterance in the interpreted version is actually implied or entailed by the utterances in the original conversation. Con- sequently, if we want to build a dialogue system, dealing with this kind of implication or entailment is one of the key challenges. Let alone there … Related articles All 3 versions Cite Save More

Detecting Grammatical Errors with Treebank-Induced, Probabilistic Parsers J Wagner – 2012 – compapp.dcu.ie 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 2 Related articles All 6 versions Cite Save More

[BOOK] Multilingual text generation from structured formal representations D Dannélls – 2013 – gupea.ub.gu.se Page 1. Dana Dannélls Multilingual text generation from structured formal representations Page 2. Data linguistica <http://www.svenska.gu.se/publikationer/data-linguistica/> Editor: Lars Borin Språkbanken Department of Swedish University of Gothenburg 23 • 2012 Page 3. … Related articles All 2 versions Cite Save

Learning to tell tales: automatic story generation from Corpora ND McIntyre – 2011 – era.lib.ed.ac.uk Page 1. Learning to Tell Tales: Automatic Story Generation from Corpora Neil McIntyre T H E U NIVER S I T Y O F E DI NBU R G H Doctor of Philosophy Institute for Communicating and Collaborative Systems School of Informatics University of Edinburgh 2011 Page 2. Page 3. iii … Cited by 2 Related articles All 2 versions Cite Save

[BOOK] New Perspectives on Computational and Cognitive Strategies for Word Sense Disambiguation O Kwong – 2012 – books.google.com … Some of the topics covered in this series include the presentation of real life commercial deployment of spoken dialog systems, contemporary methods of speech parameterization, developments in information security for automated speech, forensic speaker recognition, use … Related articles All 4 versions Cite Save

Identifying prosodic prominence patterns for English text-to-speech synthesis L Badino – 2010 – era.lib.ed.ac.uk … Page 19. Chapter 1. Introduction 7 tences or when it is integrated within a dialogue system (usually working on limited domains, eg flight booking) that provides all the necessary contextual information to the TTS system. However … Cited by 2 Related articles All 2 versions Cite Save

Intra-lingual and Cross-lingual Prosody Modelling GK Anumanchipalli – 2013 – cs.cmu.edu Page 1. Intra-Lingual and Cross-Lingual Prosody Modelling Gopala Krishna Anumanchipalli Ph.D. Thesis Draft Version: July 23, 2013 Language Technologies Institute Departamento de Engenharia School of Computer Science Electrotécnica e de Computadores … Cited by 1 Related articles All 2 versions Cite Save More

Visual document analysis: towards a semantic analysis of large document collections. D Oelke – 2010 – kops.ub.uni-konstanz.de Page 1. Visual Document Analysis: Towards a Semantic Analysis of Large Document Collections Dissertation zur Erlangung des akademischen Grades des Doktors der Naturwissenschaften an der Universität Konstanz im Fachbereich Informatik und Informationswissenschaft … Cited by 3 Related articles All 5 versions Cite Save More

Detecting emotional intensity peaks in narrative conversational settings B Jochems – 2010 – essay.utwente.nl Page 1. Human Media Interaction University of Twente PO Box 217, 7500 AE Enschede The Netherlands Detecting Emotional Intensity Peaks in Narrative and Conversational Settings by Bart Jochems behjochems@student.utwente.nl July 2, 2010 Committee … Related articles All 2 versions Cite Save