Notes:
Phrase chunking, also known as chunk parsing or shallow parsing, is a natural language processing (NLP) task that involves dividing a sentence into smaller units or chunks, based on their syntactic structure. These chunks, which are also known as phrases, can represent a variety of different syntactic categories, such as noun phrases, verb phrases, or adjective phrases.
Phrase chunking is often used as a preprocessing step in the analysis of natural language text, and can help to identify the main components and structure of a sentence. In the context of dialog systems, phrase chunking can be used to help the system understand and interpret the structure and meaning of user input, and to identify the main components of a user’s request or statement.
There are various techniques and algorithms that can be used for phrase chunking, including rule-based approaches that use linguistic knowledge to identify likely phrases, and machine learning approaches that use annotated training data to learn to identify phrases. Phrase chunking is an important aspect of natural language understanding, and is often used in conjunction with other NLP tasks, such as part-of-speech tagging and parsing, to help improve the accuracy and effectiveness of dialog systems.
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100 Best GitHub: Phrase Chunking
A lightweight semantic chunking model based on tagging [PDF] from upenn.edu K Hacioglu – Proceedings of HLT-NAACL 2004: Short Papers, 2004 – dl.acm.org … For example, in a spoken dialog system designed for travel planning one might have an Air frame with slots Origin, Destina- tion, Depart_date … new cor- pus of the tree structure introduced in Section 2. All SVM classifiers, for POS tagging, syntactic phrase chunking and semantic … Cited by 20 – Related articles – All 24 versions
Learning automatic acquisition of subcategorization frames using Bayesian inference and support vector machines M Maragoudakis, K Kermanidis… – Data Mining, 2001. …, 2001 – ieeexplore.ieee.org … Since more SF are learned, a dialogue system based on this information would be more robust. Using minimal linguistic resources, ie basic morphological tagging and phrase chunking, verb environments were identified and every environment subset was formulated. … Cited by 5 – Related articles – All 5 versions
Multitask learning for spoken language understanding [PDF] from lw23.com G Tur – Acoustics, Speech and Signal Processing, 2006. …, 2006 – ieeexplore.ieee.org … Building many spoken dialog systems using similar in- tent classification models in a shorter time frame motivates us to re-use the existing … Ngai have proposed a version of MTL for English and Chinese part of speech tagging and base noun phrase chunking with transformation … Cited by 9 – Related articles – All 4 versions
Representing intentions in a cognitive model of language acquisition: Effects of phrase structure on situated verb learning [PDF] from aaaipress.org M Fleischman… – Association for the Advancement of Artificial …, 2007 – aaai.org … A great deal of work has focused on the role of intentions in dialogue systems (eg, Grosz & Sidner, 1986; Ferguson & Allen, 1998; Carbury, 2000). … Figure 5 shows that the language learning model takes advantage of phrase chunking. … Cited by 4 – Related articles – All 7 versions
Triangular-chain conditional random fields [PDF] from minwoojeong.com M Jeong… – Audio, Speech, and Language …, 2008 – ieeexplore.ieee.org … For example, the di- alog manager in the slot-filling spoken dialog system [10] re- quests information consisting of object names and … obtain promising results in various text and spoken language problems such as part-of-speech tagging and noun–phrase chunking [4], parsing … Cited by 12 – Related articles – All 6 versions
Emotion recognition for affective user interfaces using natural language dialogs [PDF] from postech.ac.kr C Lee… – … Communication, 2007. RO-MAN 2007. The …, 2007 – ieeexplore.ieee.org … However, in task-oriented application like spoken dialog systems, it need the notion of application dependent emotions, and thus … like phrase structure and dependency relation since they require more complex natural language processing like phrase chunking and parsing, and … Cited by 4 – Related articles – All 7 versions
Jointly predicting dialog act and named entity for spoken language understanding [PDF] from minwoojeong.com M Jeong… – Spoken Language Technology Workshop, …, 2006 – ieeexplore.ieee.org … introduced a factorial conditional random fields (CRF) and showed an improvement in the domain of part-of-speech tagging and noun-phrase chunking [3]. Also … All data sets are collected and annotated to develop spoken dialog systems that consist of annotated DA and NE. … Cited by 4 – Related articles – All 7 versions
Development on the Tibetan-Chinese electronic dictionary [J] CAI Zhi-Jie – Journal of Qinghai Normal University (Natural Science …, 2005 – en.cnki.com.cn … Science and Technology Ltd.,Beijing,100081;A Rule Based and No Word Segmentation Chinese Quantifier Phrase Chunking[A];[C … Chinese Academy of Sciences, Beijing 100080,China);The Disambiguation Strategy of Semantic Analysis in Spoken Dialogue Systems[J];Journal … Cited by 2 – Related articles – Cached
Semantic discourse segmentation and labeling for route instructions [PDF] from upenn.edu N Shimizu – Proceedings of the 21st International Conference on …, 2006 – dl.acm.org … The examples in- clude tutoring, dialogue systems and the one de- scribed in this paper, a natural language interface to mobile robots. … This way, we can reduce the front-end task into a sequence of tagging tasks, much like the noun phrase chunking in the CoNLL-2000 shared … Cited by 2 – Related articles – All 18 versions
[HTML] NAACL-ANLP 2000 Workshop: Syntactic and Semantic Complexity in Natural Language Processing Systems [HTML] from aclweb.org CBG Specialization – aclweb.org … W00-0312: Sharon J. Goldwater; Elizabeth Owen Bratt; Jean Mark Gawron; John Dowding Building a Robust Dialogue System with Limited Data. … W00-0735: Jorn Veenstra; Antal van den Bosch Single-Classifier Memory-Based Phrase Chunking. … Cached – All 5 versions
System and Method for Generating Natural Language Phrases From User Utterances in Dialog Systems F Weng, L Stoia, J Hu, Z Feng… – US Patent App. 20,100/ …, 2008 – freepatentsonline.com … In most workable dialog systems, the spoken language understanding module will provide this functionality. … There are two general phrase chunking tasks, including text chunking (shallow parsing), which finds chunks that perform partial analysis of the syntactic structure in text … Cached
[PDF] A Bayesian Model for Shallow Syntactic Parsing of Natural Language Texts [PDF] from lrec-conf.org M Maragoudakis, N Fakotakis… – lrec-conf.org … For the present work, preprocessing of the input corpus reaches merely the stage of elementary intrasentential, non-embedded phrase chunking. … provide consequential information to dialogue systems, since they determine the agent and the receiver of an action. … View as HTML – All 3 versions
[TXT] Proceedings of the 7th Workshop on Asian Language Resources} [TXT] from aclweb.org F Bond, H Isahara, S Fujita, K Uchimoto… – Proceedings of the 7th … – aclweb.org … Thai and Ho, Tu Bao and Shimazu, Akira}, title = {An Empirical Study of {V}ietnamese Noun Phrase Chunking with Discriminative … and Hori, Chiori and Kashioka, Hideki and Nakamura, Satoshi}, title = {Annotating Dialogue Acts to Construct Dialogue Systems for Consulting … Cached – All 2 versions
System and Method for Generating Natural Language Phrases From User Utterances in Dialog Systems F Weng, L Stoia, J Hu, Z Feng… – US Patent App. 12/199,520, 2008 – Google Patents … In most workable dialog systems, the spoken language understanding module will provide this functionality. … A chunk is a syntactic structure (eg, a phrase) that groups several consecutive words together. There are two general phrase chunking tasks, including text chunk- …
Apparatus and Method for Analyzing Intention KIM Jung-Eun… – US Patent App. 12/894,846, 2010 – Google Patents … SEMANTIC ROLES USING ROLE NETWORK INTENTION ANALYSIS RESULT CANDIDATE ESTIMATE SEMANTIC ROLE VALUE THROUGH PHRASE CHUNKING USING ONTOLOGY … Due to these drawbacks, it is difficult to use the current speech dialogue system in a real … All 2 versions
[PDF] Shallow Processing & Named Entity Extraction [PDF] from uni-saarland.de G Neumann… – coli.uni-saarland.de … Ontology Extraction and Refinement Question Answering Dialogue Systems Page 4. From POS tagging to IE – Classification- Based Perspective • POS tagging … Page 11. Chunk Parsing Examples • Noun-phrase chunking: – [I] saw [a tall man] in [the park]. • Verb-phrase chunking: … Related articles – View as HTML
SYSTEM AND METHOD FOR IMPROVING INTERACTION WITH A USER THROUGH A DYNAMICALLY ALTERABLE SPOKEN DIALOG SYSTEM G Pulz, HE Blanchard… – US Patent App. 20,090 …, 2007 – freepatentsonline.com … December, 2009 – 20090326948 Retrieval of records using phrase chunking Horowitz et al. … 2A207, ONE AT&T WAY, BEDMINSTER, NJ, 07921, US). Claims: What is claimed is: 1. A method for dynamically interacting with a user through a spoken dialogue system, the method … Cached
[PDF] Shallow Processing Light Parsing & Namend Entity Extraction [PDF] from uni-saarland.de G Neumann – coli.uni-saarland.de … Ontology Extraction and Refinement Question Answering Dialogue Systems Page 6. From POS tagging to IE – Classification- Based Perspective • POS tagging … Page 13. Chunk Parsing Examples • Noun-phrase chunking: – [I] saw [a tall man] in [the park]. • Verb-phrase chunking: … Related articles – View as HTML – All 2 versions
Dialog-Act Recognition Using Discourse and Sentence Structure Information [PDF] from ia.ac.cn K Zhou… – Asian Language Processing, 2009. IALP’09. …, 2009 – ieeexplore.ieee.org … [21] M. Walker, and R. Passonneau. 2001. DATE: A Dialog Act Tagging Scheme for Evaluation of Spoken Dialog Systems. In Proceedings of HLT 2001, San Diego. [22] F. Xu, C. Zong, and J. Zhao. 2006. A Hybrid Approach to Chinese Base Noun Phrase Chunking. … Related articles – All 11 versions
Health conversational system based on contextual matching of community-driven question-answer pairs W Wong, J Thangarajah… – Proceedings of the 20th ACM …, 2011 – dl.acm.org … 8 http://developer.yahoo.com/answers 9 In later versions, we will examine the need for more ad- vanced noun phrase chunking and term … 5. REFERENCES [1] Bickmore, T., Schulman, D., and Sidner, C. A reusable framework for health counseling dialogue systems based on a …
[PDF] Teaching dialogue to interdisciplinary teams through toolkits [PDF] from upenn.edu J Cassell, M Stone – Second Workshop on Effective Tools and …, 2005 – acl.ldc.upenn.edu … computer science or some lin- guistics background, but not both—to implement a working embodied dialogue system, as a … the specific language process- ing challenges for machine learning methods; and “applied” subproblems like named entity extraction, or phrase chunking. … Related articles – View as HTML – All 26 versions
[PDF] Morphology-Syntax Interface for Turkish LFG Özlem Çetinoglu and Kemal Oflazer…………………………………………….. 153 PCFGs with Syntactic and Prosodic … [PDF] from upenn.edu M Lease, Y Liu, B Roark, M Snover, R Stewart… – acl.ldc.upenn.edu … 257 Learning to Generate Naturalistic Utterances Using Reviews in Spoken Dialogue Systems Ryuichiro Higashinaka, Rashmi Prasad and Marilyn A … Noun Phrase Chunking in Hebrew: Influence of Lexical and Morphological Features Yoav Goldberg, Meni Adler and Michael … View as HTML – All 18 versions
[PS] NWO/EW Thematic Research Proposal [PS] from uvt.nl APJ van den Bosch – ilk.uvt.nl … are developed for shallow language process- ing tasks such as morphosyntactic analysis of wordforms, syntactic wordclass tagging, phrase chunking, and finding … Currently a cooperation is developed between ILK and IPO on applying machine learning to dialogue systems. … Related articles – View as HTML – All 2 versions
WALTER DAELEMANS AND AVAN den BOSCH – The Handbook of Computational …, 2010 – books.google.com … 3.3 Text analysis Extending the simple sliding-window approach that proved to be useful in phrase chunking, memory-based learning has also … history features (eg, pre- vious dialogue acts), and acoustic features of recognized speech in the context of spoken dialogue systems. …
Key-subword spotting for speech recognition and understanding UD Profio – US Patent App. 20,020/013,706, 2001 – freepatentsonline.com … 20030105622, Retrieval of records using phrase chunking, June, 2003, Horowitz et al. … For example, in a spoken dialogue system for address input in the car navigation domain when the context of the system is Street Name Input, ie the system expects the user to input a street … Cached
[HTML] ACL Logo ACL Anthology [HTML] from aclweb.org ETOD Parsers, CW Readings… – aclweb.org … bib]: Srinivasan Janarthanam; Oliver Lemon Learning to Adapt to Unknown Users: Referring Expression Generation in Spoken Dialogue Systems. … 1012 [bib]: Hiroshi Echizen-ya; Kenji Araki Automatic Evaluation Method for Machine Translation Using Noun-Phrase Chunking. … Cached – All 6 versions
[PDF] Chunking Japanese compound functional expressions by machine learning [PDF] from upenn.edu M Tsuchiya, T Shime, T Takagi… – Proc. Workshop on …, 2006 – acl.ldc.upenn.edu … and understanding of them are also very important for various kinds of NLP applications such as dialogue systems, ma- chine … which has been successfully applied to various natural language processing tasks including chunking tasks such as phrase chunking (Kudo and … Cited by 11 – Related articles – View as HTML – All 30 versions
Exceptionality and natural language learning [PDF] from upenn.edu M Rotaru, DJ Litman – Proceedings of the seventh conference on …, 2003 – dl.acm.org … used in their experiments are: grapheme-phoneme conversion, part of speech tagging, prepositional phrase attachment and base noun phrase chunking. … come from the area of spoken dialog systems and have smaller datasets and more features (with many of the features … Cited by 4 – Related articles – All 48 versions
[TXT] Proceedings of ACL-08: HLT} [TXT] from aclweb.org AE Richman, P Schone, S Bergsma, D Lin… – Proceedings of ACL-08: … – aclweb.org … P08/P08-1070} } @InProceedings{ai-litman:2008:ACLMain, author = {Ai, Hua and Litman, Diane J.}, title = {Assessing Dialog System User Simulation … author = {Milidi'{u}, Ruy Luiz and dos Santos, C'{i}cero Nogueira and Duarte, Julio C.}, title = {Phrase Chunking Using Entropy … Cached – All 2 versions
Humour, Relationship Maintenance and Personality Matching in automated dialogue: A controlled study [PDF] from tudelft.nl M De Boni, A Richardson… – Interacting with Computers, 2008 – Elsevier … The dialogue system under consideration was an automated exercise advisor service (Solution Advisor) which engaged users in a natural language conversation to help … (c) A Natural Language Understanding component using shallow parsing (noun phrase chunking, part-of … Cited by 3 – Related articles – All 5 versions
Memory-Based Learning [PDF] from ua.ac.be W Daelemans… – The Handbook of …, 2010 – Wiley Online Library … Extending the simple sliding-window approach that proved to be useful in phrase chunking, memory-based learning has also been used for … history features (eg, pre- vious dialogue acts), and acoustic features of recognized speech in the context of spoken dialogue systems. … Related articles – All 5 versions
[PDF] Adjectival Phrases as the Sentiment Carriers in the Urdu Text [PDF] from jofamericanscience.org AZ Syed, A Muhammad… – Journal of American …, 2011 – jofamericanscience.org … 2010). The preprocessed words are then assigned parts of speech tags, eg, nouns, verbs, adjectives, conjunctions, and negations etc. These tagged words are converted into phrases by phrase chunking. … POS Tagging TRUE Phrase Chunking Role Tagging COMPUTE SentPol … Cited by 1 – Related articles – View as HTML
[PS] Learning Computational Grammars TMR Project Nr. ERBFMRXCT980237 1st Year Report [PS] from ua.ac.be J Nerbonne… – 1999 – cnts.ua.ac.be … Since then, most of the time has been spent on research in noun phrase chunking: recognizing basic noun phrases. … Worked previously on the grammar of a natural language processing module of a spoken dialogue system. … Related articles – View as HTML – All 6 versions
Automated grammar generator (AGG) D Horowitz… – US Patent App. 20,050/154,580, 2004 – freepatentsonline.com … February, 2007 – 20070036370 METHOD AND SYSTEM FOR TEMPLATE INQUIRY DIALOGUE SYSTEM Lee et … 3. An automated grammar generator according to claim 1, comprising a phrase chunking module operable to generate automatically at least one phrase from said … Cached
[HTML] ACL Logo ACL Anthology [HTML] from aclweb.org CWSUV Dictionaries – aclweb.org … W06-0112 [bib]: Fang Xu; Chengqing Zong; Jun Zhao A Hybrid Approach to Chinese Base Noun Phrase Chunking. … W06-1301 [bib]: Alexander Hof; Eli Hagen; Alexander Huber Adaptive Help for Speech Dialogue Systems Based on Learning and Forgetting of Speech … Cached – All 6 versions
An integrated framework for treebanks and multilayer annotations [PDF] from arxiv.org S Cotton… – Arxiv preprint cs/0204007, 2002 – arxiv.org … tral concern both for the study of human communicative interaction, and for the construction of naturalistic spoken language dialogue systems. … projects incorporate a preprocessing phase, which may create some low-level constituents (such as noun phrase chunking) or may … Cited by 35 – Related articles – All 11 versions
[HTML] Proceedings of SSST, NAACL-HLT 2007/AMTA Workshop on Syntax and Structure in Statistical Translation [HTML] from ntu.edu.tw SB Binarization… – speech.ee.ntu.edu.tw … W07-0309 [bib]: Lina Rojas; Toni Giorgino AdaRTE: An Extensible and Adaptable Architecture for Dialog Systems. W07 … Parser. W07-0812 [bib]: Mona Diab Improved Arabic Base Phrase Chunking with a new enriched POS tag set. … Cached – All 6 versions
Introduction to Arabic Natural Language Processing Nizar Y. Habash (Columbia University) San Rafael, CA: Morgan & Claypool (Synthesis Lectures on Human … I Zitouni – Computational Linguistics, 2011 – MIT Press … Second generation AMIRA tools for Arabic processing: Fast and robust tokenization, POS tagging, and base phrase chunking. … His research interests include language modeling, information extraction, machine translation, machine learning, and spoken dialogue systems; e-mail … Related articles
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[HTML] ACL Logo ACL Anthology [HTML] from aclweb.org AHFB Conceptual… – aclweb.org … W10-1618 [bib]: Luciana Benotti; Paula Estrella; Carlos Areces Dialogue Systems for Virtual Environments. Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR. … Proceedings of the 2010 Workshop on Companionable Dialogue Systems. … Cached – All 6 versions
[PDF] Learning Computational Grammars TMR Project Nr. ERBFMRXCT980237 3rd Annual Report [PDF] from ua.ac.be J Nerbonne – 2001 – clips.ua.ac.be … 9 shared-task session on phrase chunking. . … In the third project year (April 1, 2000 – March 3 1, 2001), Erik has mainly worked on general chunking and parsing. H e also finished his earlier work on system combination approaches to noun phrase chunking. … Related articles – View as HTML – All 8 versions
[TXT] Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics} [TXT] from aclweb.org T Koo, M Collins, W Jiang, Q Liu, W Chen… – Proceedings of the 48th … – aclweb.org … title = {Learning to Adapt to Unknown Users: Referring Expression Generation in Spoken Dialogue Systems}, booktitle = {Proceedings of … and Araki, Kenji}, title = {Automatic Evaluation Method for Machine Translation Using Noun-Phrase Chunking}, booktitle = {Proceedings of … Cached
Introduction to the special issue on SENSEVAL [PDF] from denizyuret.com A Kilgarriff… – Computers and the Humanities, 2000 – Springer … US experience in DARPA competitive evaluations for speech recognition, dialogue systems, information retrieval and information extraction has … These subcomponents, whether they perform noun phrase chunking or WSD, may show improved performance on their individual … Cited by 78 – Related articles – BL Direct – All 15 versions
[PDF] Confidence Estimation for Machine Translation [PDF] from mt-archive.info CGA Kulesza, FH XRCE, A Sanchis… – mt-archive.info … For instance, in a speech recognition dialog system, low confidence in the analysis of a user’s utterance can lead the system to prompt for a repetition. This strategy has the potential to significantly improve the system’s usability if accurate estimates of correctness can be made. … Related articles
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Method and system for analyzing user-generated content N Bandaru, ED Moyer, S Radhakrishna – US Patent 7,930,302, 2011 – Google Patents … pp. 519-528 * Whittaker, Steve, et al., “Chapter 14: Evaluating Dialogue Strategies in Multimodal Dialogue Systems”, Spoken Multimodal Human- Computer Dialogue in Mobile Environment, Springer Netherlands, © 2005, pp. … Related articles – All 5 versions
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A cascaded approach to mention detection and chaining in arabic I Zitouni, X Luo… – Audio, Speech, and Language …, 2009 – ieeexplore.ieee.org … Similarly to classical NLP tasks such as base noun phrase chunking [11], text chunking [12], or named entity recognition [13], we formulate the mention detection problem as a classi- fication problem, by assigning a label to each token in the text, indicating whether it starts a … Cited by 2 – Related articles – All 2 versions
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[PDF] das PL febrero [PDF] from ujaen.es O DE RE, EN IN, RE DE, OS LIN, E LI… – ararat.ujaen.es … 61 Page 5. 5 Flexible Dialogue System ….. 62 INTERACTOR (Natural Interaction Platform) …. 64 3.2 Buscadores … Related articles – View as HTML – All 2 versions
Medical vocabulary templates in speech recognition A Benja-athon… – US Patent App. 20,060/ …, 2006 – freepatentsonline.com … January, 2010 – 20100010803 SPEECH SYNTHESIS DEVICE, METHOD, AND PROGRAM Kato – July, 2009 – 20090177475 Spoken Dialog System and Method Yano – August, 2008 … 20030105622, Retrieval of records using phrase chunking, June, 2003, Horowitz et al. … Cached
[PDF] Episodic Memory Model for Embodied Conversational Agents [PDF] from fcla.edu M Elvir – 2010 – etd.fcla.edu … 11 1.4. Dialog Systems and Embodied Conversational Agents ….. 13 … Page 24. 12 techniques, and 3) slow development of reasoning from natural language in dialog systems. From Wlodzislaw et al. … Related articles – View as HTML – Library Search
[BOOK] Memory-based parsing S Kübler – 2004 – books.google.com … 3 Memory-Based Approaches to Parsing 3.1 3.2 3.3 3.4 Noun Phrase Chunking . . . . . 3.1.1 The approach of Veenstra (1998) . . . . … Such a parser is an indispensable prerequisite for the successful design of dialogue systems. … Cited by 6 – Related articles – Library Search – All 4 versions
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[PDF] Frame Assignment with Active Learning [PDF] from psu.edu M Ghayoomi, M Pinkal… – 2009 – Citeseer … Page 10. 10 text summarization, and text data mining (Hearst, 1999); moreover such annotation might be used in question-answering systems, semantic dialogue systems, word … information extraction, question answering systems, dialogue systems, and machine … Related articles – View as HTML – All 5 versions
[PDF] Automatic Analysis and Reasoning on Reported Speech in Newspaper Articles Automatische Analyse und Verarbeitung von Direkter und [PDF] from psu.edu R Krestel – Citeseer Page 1. Diplomarbeit Automatic Analysis and Reasoning on Reported Speech in Newspaper Articles Automatische Analyse und Verarbeitung von Direkter und Indirekter Rede in Zeitungsartikeln cand. inform. Ralf Krestel Institut … Related articles – View as HTML – All 2 versions
Gesture in automatic discourse processing [PDF] from mit.edu R Barzilay, R Davis… – 2008 – dspace.mit.edu … gesture or other non-verbal features. Section 2.2 describes multimodal interfaces and dialogue systems in which human users interact with computers using gesture and sometimes speech. Section 2.3 describes the application of prosody to natural … Related articles – All 3 versions
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Gesture in Automatic Discourse Processing [PDF] from 18.7.29.232 R Davis, J Eisenstein – 2008 – 18.7.29.232 … gesture or other non-verbal features. Section 2.2 describes multimodal interfaces and dialogue systems in which human users interact with computers using gesture and sometimes speech. Section 2.3 describes the application of prosody to natural … Related articles – All 3 versions
[PDF] TiMBL: Tilburg Memory-Based Learner [PDF] from psu.edu W Daelemans, J Zavrel, K van der Sloot… – Version, 2001 – Citeseer Page 1. TiMBL: Tilburg Memory-Based Learner version 4.0 Reference Guide ILK Technical Report – ILK 01-04 Walter Daelemans* Jakub Zavrel* Ko van der Sloot Antal van den Bosch Induction of Linguistic Knowledge Computational Linguistics Tilburg University … Cited by 65 – Related articles – View as HTML – All 16 versions
Automatic recognition of multiparty human interactions using dynamic Bayesian networks [PDF] from ed.ac.uk A Dielmann – 2009 – era.lib.ed.ac.uk … For example the automatic structuring of conversational speech in terms of dialogue acts can be beneficial for automatic speech recognition, machine trans- lation and spoken dialogue systems. The proposed features and the multistream DBN infrastructure could be easily … Related articles – All 3 versions
[BOOK] Linguistically informed question answering [PDF] from uni-saarland.de G Fliedner – 2007 – coli.uni-saarland.de … 264 6.2.5.3 Other Approaches. . . . . 264 6.2.6 Noun Phrase Chunking . . . . . 265 6.2.7 Constructing Dependency Structures . . . . . 267 6.2.7.1 RepresentingUn derspecification . . . . . 267 6.2.7.2 Construction Process . . . . . … Cited by 6 – Related articles – View as HTML – Library Search
[PDF] TiMBL: Tilburg Memory-Based Learner [PDF] from uvt.nl W Daelemans, J Zavrel, K Van der Sloot… – 2009 – ilk.uvt.nl Page 1. TiMBL: Tilburg Memory-Based Learner version 6.2 Reference Guide ILK Technical Report – ILK 09-01 Walter Daelemans* Jakub Zavrel*† Ko van der Sloot Antal van den Bosch Induction of Linguistic Knowledge Research … Cited by 14 – Related articles – View as HTML
[PDF] Computing point-of-view: modeling and simulating judgments of taste [PDF] from mit.edu XH Liu – 2006 – pubs.media.mit.edu Page 1. Computing Point-of-View: Modeling and Simulating Judgments of Taste by Xinyu Hugo Liu Sc.B., Massachusetts Institute of Technology (2001) M.Eng., Massachusetts Institute of Technology (2002) Submitted to the … Cited by 1 – Related articles – View as HTML – Library Search – All 8 versions
[PDF] TiMBL: Tilburg memory based learner [PDF] from ua.ac.be W Daelemans, J Zavrel, K van der Sloot… – ILK 03, 2003 – clips.ua.ac.be Page 1. TiMBL: Tilburg Memory-Based Learner version 5.0 Reference Guide ILK Technical Report – ILK 03-10 Walter Daelemans* Jakub Zavrel*† Ko van der Sloot Antal van den Bosch Induction of Linguistic Knowledge Computational Linguistics Tilburg University … Cited by 32 – Related articles – View as HTML – All 12 versions
[PDF] Robust deep linguistic processing [PDF] from uni-saarland.de Y Zhang – 2007 – coli.uni-saarland.de … or application tasks without thoroughly modeling of the language. By this definition, processing techniques like part of speech tagging, named entity recognition, and phrase chunking all belong to “shal- low” processing. However … Cited by 4 – Related articles – View as HTML
[PDF] A Machine Learning Approach to Anaphora Resolution Including Named Entity Recognition, PP Attachment Disambiguation, and Animacy Detection [PDF] from psu.edu A Nøklestad – 2009 – Citeseer Page 1. A Machine Learning Approach to Anaphora Resolution Including Named Entity Recognition, PP Attachment Disambiguation, and Animacy Detection Anders Nøklestad May 7, 2009 Page 2. 2 For my parents, Randi and Hans Olaf Page 3. Contents 1 Introduction 13 … Cited by 1 – Related articles – View as HTML – All 4 versions
[PDF] GRADUATE COMMITTEE APPROVAL [PDF] from byu.edu M Emonts – 2002 – contentdm.lib.byu.edu Page 1. MEMORY-BASED TONE RECOGNITION OF CANTONESE SYLLABLES by Michael Emonts A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Arts Department of Linguistics … Related articles – View as HTML – All 4 versions
[BOOK] Handbook of natural language processing and machine translation: DARPA global autonomous language exploitation J Olive – 2011 – books.google.com … was aimed. For dictation, WER above 10 percent is not acceptable, but for a dialogue system, a much higher rate can be tolerated as long as the system can enable a user to complete a specific task successfully. Initial studies … Cited by 3 – Related articles – Library Search – All 4 versions
[PDF] Language Technology for the Lazy [PDF] from kth.se J SJÖBERGH – 2006 – f.kth.se … NLP is when a computer does something with a language normally used by humans, such as English or Swedish. NLP is of course a very large research area, including such diverse things as speech recognition, machine translation, text categorization and dialogue systems. … Related articles – View as HTML – All 18 versions
[PS] TiMBL: Tilburg Memory Based Learner [PS] from ua.ac.be A van den Bosch – 1999 – cnts.ua.ac.be Page 1. TiMBL: Tilburg Memory-Based Learner version 5.0 Reference Guide ILK Technical Report – ILK 03-10 Walter Daelemans* Jakub Zavrel* j Ko van der Sloot Antal van den Bosch Induction of Linguistic Knowledge Computational … Related articles – All 8 versions
Samisk sprakteknologi T Trosterud – Nordisk sprogteknologi-Arbog for Nordisk …, 2003 – books.google.com … V: Multilinguality and general applications: • Semantically annotated corpora • Information retrieval and extraction • Machine translation systems; translation of NPs and simple sentences • Dialog systems • Multilingual lexical-semantic knowledge base • Language learning … Cited by 1 – Related articles
Modeling regular polysemy: A study on the semantic classification of Catalan adjectives. [PDF] from upc.edu G Boleda, SS im Walde… – Computational Linguistics – MIT Press … The semantic properties of adjectives can also be exploited in advanced NLP tasks and applications such as Question Answering, Dialog Systems, Natural Language Generation, or Information Extraction. For instance, from a sentence like This maimai is round and sweet, we …
[DOC] School of Architecture and Planning [DOC] from mit.edu XH Liu – media.mit.edu … A third approach for user modeling is assigned a working term hereùdiscourse-based modeling. Discourse-based user modeling is likely the result of cross-over research from corpus-based computational linguistics and artificial intelligence, especially dialogue systems. … Related articles – View as HTML
[DOC] Xinyu Hugo Liu Sc. B., Massachusetts Institute of Technology (2001) M. Eng., Massachusetts Institute of Technology (2002) Submitted to the Program in Media … [DOC] from mit.edu XH Liu – media.mit.edu … A third approach for user modeling is assigned a working term hereùdiscourse-based modeling. Discourse-based user modeling is likely the result of cross-over research from corpus-based computational linguistics and artificial intelligence, especially dialogue systems. … Related articles – View as HTML – All 4 versions