Sentence Boundary Disambiguation & Dialog Systems


Sentence Boundary Disambiguation

Resources:

See also:

Sentence Extraction Module | Sentence Extractor | Sentence Generation Module | Sentence Grammaticality | Sentence Parsers & Dialog Systems | Sentence Patterns & Dialog Systems | Sentence Recognizer | Sentence Splitter 2011


Utilizing gestures to improve sentence boundary detection [PDF] from jhu.edu L Chen… – Multimedia Tools and Applications, 2011 – Springer … It also would support many language processing tasks such as parsing, language modeling, and question answering in dialog systems. Due to its importance, much research has been conducted on sentence boundary detection [32, 34, 45, 47, 48]. … Related articles – All 8 versions

[PDF] Towards incremental end-of-utterance detection in dialogue systems [PDF] from uni-potsdam.de M Atterer, T Baumann… – Proceedings of Coling, …, 2008 – ling.uni-potsdam.de … Liu, Y. and E. Shriberg. 2007. Comparing evaluation metrics for sentence boundary detection. In Proc. IEEE ICASSP, Honolulu,USA. … 2005. Root causes of lost time and user stress in a simple dialog system. In Proc. of Interspeech, El Paso, USA. Witten, Ian H. and Eibe Frank. … Cited by 11 – Related articles – View as HTML – All 18 versions

Combining lexical, syntactic and prosodic cues for improved online dialog act tagging [PDF] from usc.edu VK Rangarajan Sridhar, S Bangalore… – Computer Speech & …, 2009 – Elsevier Cited by 16 – Related articles – All 5 versions

Evaluation of semantic role labeling and dependency parsing of automatic speech recognition output [PDF] from mirlab.org B Favre, B Bohnet… – Acoustics Speech and …, 2010 – ieeexplore.ieee.org … processing side, SRL has become an important component of spoken language understanding systems [8, 9]. For example, ATIS dialog systems allow to … As a by-product of the alignment, our evalua- tion tool also outputs word error rate, sentence boundary detection F- score (a … Cited by 1 – Related articles – All 11 versions

Transcribing human-directed speech for spoken language processing [PDF] from pitt.edu M Ostendorf – Tenth Annual Conference of the International …, 2009 – isca-speech.org … is an example of a tagging ap- proach, where each word is associated with a hidden tag (eg, +/- sentence boundary, comma, null … The problem of word uncertainty has been addressed for speech understanding in spoken dialog systems for isolated ut- terances by providing the … Cited by 1 – Related articles – All 4 versions

System and method of exploiting human-human data for spoken language understanding systems NK Gupta… – US Patent 7,853,451, 2010 – Google Patents … a bank’s computer spoken dialog system, and the user asks “I 40 need my account balance.” The spoken dialog system may identify … A clausifier may be comprised of several components: a sentence boundary classifier detects sentence boundaries within a speech utterance text … Cited by 1 – Related articles – All 2 versions

Interfacing virtual agents with collaborative knowledge: Open domain question answering using wikipedia-based topic models [PDF] from unsw.edu.au U Waltinger, A Breuing… – Proceedings of the International …, 2011 – aaai.org … 1897 Page 3. Figure 1: Overview of the QA architecture within the dialog system of our conversational agent Max. … It consists of several pre-processing compo- nents for tokenization, sentence boundary detection, Part-of- Speech (PoS) tagging and lemmatization. … Cited by 1 – Related articles – All 6 versions

Any questions? Automatic question detection in meetings [PDF] from berkeley.edu K Boakye, B Favre… – … Speech Recognition & …, 2009 – ieeexplore.ieee.org … In the case of human-computer dialog systems, it can be critical for the conversational agent to know that a user asked it a question so … A question was defined to be a sequence of words in which the final word was followed by a question dialog act label/sentence boundary class … Cited by 9 – Related articles – All 8 versions

Simultaneous dialog act segmentation and classification from human-human spoken conversations [PDF] from mirlab.org S Quarteroni, AV Ivanov… – Acoustics, Speech and …, 2011 – ieeexplore.ieee.org … The greatest challenge of DA classification in Spoken Dialog Systems is dealing with ASR transcriptions, which require utterance segmentation in DAs and … [2] Y. Liu, A. Stolcke, E. Shriberg, and M. Harper, “Using condi- tional random fields for sentence boundary detection in … Cited by 1 – Related articles – All 5 versions

Generative and discriminative methods using morphological information for sentence segmentation of Turkish [PDF] from sri.com U Guz, B Favre, D Hakkani-Tur… – Audio, Speech, and …, 2009 – ieeexplore.ieee.org … in sentences. Previous work on sentence segmentation has considered this task as a word boundary classification problem, by determining whether or not two consecutive words are separated by a sentence boundary. The … Cited by 5 – Related articles – All 16 versions

Evaluating automatic extraction of rules for sentence plan construction [PDF] from aclweb.org A Stent… – Proceedings of the SIGDIAL 2009 Conference: The …, 2009 – dl.acm.org … The most common type of error was misclas- sifying comma, semicolon or full as N/A: for the 6full indicates a sentence boundary (. or ? or !). 295 Page 7. … 2001. Natural language generation in dialog systems. In Proceedings of HLT. E. Reiter and R. Dale. 2000. … Cited by 2 – Related articles – All 12 versions

Visual prosody of newsreaders: Effects of information structure, emotional content and intended audience on facial expressions M Swerts… – Journal of Phonetics, 2010 – Elsevier … be especially important in interactions with addressees who have less developed communicative skills, like children, non-native speakers and pets (Burnham, Kitamura, & Vollmer-Conna, 2002) or in interactions with a poorly performing spoken dialogue system ( [Hirschberg et … Cited by 6 – Related articles

Speech segmentation and spoken document processing [PDF] from sri.com M Ostendorf, B Favre, R Grishman… – Signal Processing …, 2008 – ieeexplore.ieee.org … between text and speech. Note that while the definition of a sentence boundary is fairly clear in written text, spontaneous speech requires con- ventions for phenomena not typically present in written text. Such phenomena include … Cited by 15 – Related articles – BL Direct – All 20 versions

Contextual information improves oov detection in speech [PDF] from jhu.edu C Parada, M Dredze, D Filimonov… – … Technologies: The 2010 …, 2010 – dl.acm.org … CRFs have been used successfully used in nu- merous text processing tasks and while less popular in speech, still applied successfully, such as sentence boundary detection (Liu et al., 2005). A CRF models the entire label sequence y as: p(y|x) = 1 Z(x) exp(?F(y,x)) , … Cited by 8 – Related articles – All 14 versions

The role of interactivity in human-machine conversation for automatic word acquisition [PDF] from aclweb.org S Qu… – Proceedings of the SIGDIAL 2009 Conference: The …, 2009 – dl.acm.org … boundary. Figure 2 shows a pair of user speech and accompanying stream of gaze fixations. … 2002. Col- laborative activities and multitasking in dialogue systems. Traitement Automatique des Langues, 43(2):131–154. Y. Liu, J. Chai, and R. Jin. 2007. … Cited by 5 – Related articles – All 12 versions

CSG-Tag: Constraint based Synchronous Grammar Tree Annotation System F Wong, F Oliveira, S Chao… – Machine Learning and …, 2011 – ieeexplore.ieee.org … Strube, M., “Mmax: A tool for the annotation of multi-modal corpora”, Proceedings of the 2nd IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, pp. … [15] Wong, F., and Chao, S., “iSentenizer: An Incremental Sentence Boundary Classifier”, Proceedings … Related articles – All 2 versions

RACAI’s QA System at the Romanian–Romanian QA@ CLEF2008 Main Task R Ion, D Stefanescu, A Ceausu… – Evaluating Systems for …, 2009 – Springer … that is, no window may have fewer than N words but it may have more than N words to enforce the sentence boundary condition). … interested in getting the information he/she is look- ing for, in spite of the advertized understanding abilities of an artificial dialog system, the human … Cited by 1 – Related articles – All 3 versions

[TXT] Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, … [TXT] from aclweb.org N Bach, S Vogel, C Cherry, S Riedel… – Proceedings of Human …, 2009 – aclweb.org … Stent, Amanda}, title = {Lexical and Syntactic Adaptation and Their Impact in Deployed Spoken Dialog Systems}, booktitle = {Proceedings of … N/N09/N09-2060} } @InProceedings{gillick:2009: NAACLHLT09-Short, author = {Gillick, Dan}, title = {Sentence Boundary Detection and … Cached

Using speech to identify gesture pen strokes in collaborative, multimodal device descriptions J Herold… – Artificial Intelligence for …, 2011 – Cambridge Univ Press … As described in Section 5.1, this allows us to take advantage of the frequent occurrence of single-word segments. Sentence boundary detection methods vary in the way they combine the language and prosodic models. Stolcke et al. J. Herold and TF Stahovich 240 Page 5. … Related articles

[PDF] Noisy Text Analytics [PDF] from google.com LV Subramaniam – … : The 2010 Annual Conference of the North …, 2010 – sites.google.com … Page 26. Tutorial – Noisy Text Analytics Sentence Boundary Information: The need for it ? Speech Transcriptions are noisy and do not contain any … 26 01-Jun-2010 sentence boundaries ? Why is sentence boundary detection difficult? –Recognition Noise corrupting the output … Related articles – View as HTML – All 15 versions

Context-based word acquisition for situated dialogue in a virtual world [PDF] from aaaipress.org S Qu… – Journal of Artificial Intelligence Research, 2010 – aaai.org … Different from traditional telephony-based spoken dialogue systems, in conversational inter- faces users can look at a graphic display or a virtual … Each time the system detected a sentence boundary of the user’s speech, it paired the recognized speech with the gaze fixations … Cited by 4 – Related articles – All 8 versions

History and Development of Speech Recognition S Furui – Speech Technology, 2010 – Springer … These new techniques include flexible acoustic modeling, sentence boundary detection, pronunciation modeling, acoustic as well as language model adaptation … The confidence measure serves as a reference guide for a dialog system to provide an appropriate response to its … Cited by 3 – Related articles – All 2 versions

Recognizing child’s emotional state in problem-solving child-machine interactions S Yildirim… – Proceedings of the 2nd Workshop on Child, …, 2009 – dl.acm.org … One of the steps toward building natural and responsive spo- ken interfaces is to enable automatic emotion recognition ca- pability within a spoken dialog system framework. … Chen et al. [5] included gestu- ral information for improving sentence boundary detection. … Related articles

Intent Determination and Spoken Utterance Classification G Tur, L Deng – Spoken Language Understanding, 2011 – Wiley Online Library … The confidence value, c, optimizing the F-measure can also be used as the acceptance threshold in the actual spoken dialogue system. … Should the prompts/actions taken by the dialogue system change over time the semantic representation must also be changed. … Related articles – All 2 versions

Improving broadcast news transcription with a precision grammar and discriminative reranking [PDF] from ethz.ch T Kaufmann, T Ewender… – Tenth Annual Conference of …, 2009 – isca-speech.org … Seg- ments with more than 25 words are split at the position with the highest sentence boundary probability. … [6] GV Noord, G. Bouma, R. Koeling, and M.-J. Nederhof, “Ro- bust grammatical analysis for spoken dialogue systems,” Natural Language Engineering, vol. 5, no. 1, pp. … Cited by 2 – Related articles – All 7 versions

Apparatus, method and system for maximum entropy modeling for uncertain observations F Farahani, F Weng, Q Zhang – US Patent 7,788,094, 2010 – Google Patents … also applied in other areas of statistical modeling, in particular, various applications in language understanding and dialog systems. … may be applied in natural language processing applications such as language modeling, machine translation, sentence boundary detection, etc. … Related articles – All 5 versions

Analyzing dialog coherence using transition patterns in lexical and semantic features [PDF] from aaaipress.org A Purandare… – Proceedings 21st International FLAIRS …, 2008 – aaai.org … Marcu & Echihabi 2002; Lapata & Barzilay 2005) and information ordering (Lapata 2003) to dialogs such that a dialog system can automatically … Sentence boundaries are detected automatically us- ing the sentence boundary detection tool from (Reynar & Ratnaparkhi 1997). … Cited by 3 – Related articles – All 10 versions

On the equivalence of Gaussian and log-linear HMMs [PDF] from ed.ac.uk G Heigold, P Lehnen, R Schlüter… – Ninth Annual Conference …, 2008 – isca-speech.org … the transition and language models in ASR, which typically include such information (en- try/exit states for HMMs, sentence boundary symbol for … et al., “The French Media/Evalda project: the evaluation of the understanding capability of spoken language dialog systems,” in Proc. … Cited by 16 – Related articles – All 7 versions

Segmentation of monologues in audio books for building synthetic voices [PDF] from iiit.ac.in K Prahallad… – Audio, Speech, and Language …, 2010 – ieeexplore.ieee.org … 4. Note that the speech block F is an ad hoc block considered without any knowledge of pause/word/sentence boundary. Thus the state x(t+nf ) need not be an ending state of a word HMM and hence only an initial portion of state sequence is considered. … Cited by 4 – Related articles – All 4 versions

An iterative relative entropy minimization-based data selection approach for n-gram model adaptation [PDF] from usc.edu A Sethy, PG Georgiou… – Audio, Speech, and …, 2009 – ieeexplore.ieee.org … language model adaptation using two speech recogni- tion tasks: a medium vocabulary medical domain doctor-patient dialog system and a … We found that using an off-the-shelf maximum entropy-based sentence boundary detector2 [19], seemed to improve sentence boundaries … Cited by 6 – Related articles – All 5 versions

Optimizing sentence segmentation for spoken language translation [PDF] from cmu.edu S Rao, I Lane… – Eighth Annual Conference of the …, 2007 – isca-speech.org … in text-based machine translation (MT) is to translate complete sentences, which are conveniently indicated by sentence boundary markers. … These applications include among others Spoken Language Translation systems (SLT), speech summarization and dialog systems. … Cited by 7 – Related articles – All 10 versions

[PDF] The Development of a Thai Spoken Dialogue System [PDF] from psu.edu C Wutiwiwatchai – 2008 – Citeseer … At present, there is no research site reporting a Thai spoken dialogue system. Thai writing is an alphabetic system with extra-symbols indicating five tonal levels of a syllable. There is typically no space between words and no sentence boundary marker. … Related articles – View as HTML – All 7 versions

[PDF] Integrating domain knowledge with user eye gaze in automated word acquisition for conversational interfaces [PDF] from msu.edu S Qu… – Proceedings of the 2010 workshop on Eye gaze …, 2010 – links.cse.msu.edu … Different from traditional telephony-based spoken dialogue systems, in conversational interfaces users can in- teract with graphic displays (eg, GUI, synthesized … Each time the system de- tected a sentence boundary of the user’s speech, it paired the recognized speech with the … Related articles – View as HTML – All 2 versions

System and Method For Accessing Images With A Novel User Interface And Natural Language Processing H Yu – US Patent App. 20,090/076,797, 2008 – freepatentsonline.com … In order to eliminate the errors arising from sentence boundary ambiguity, abstract sentences were manually split and sent as email … language processing method Next Patent: Apparatus and method for post-processing dialogue error in speech dialogue system using multilevel v … Cached

[PDF] A PRELIMINARY STUDY OF PROSODY-BASED DETECTION OF QUESTIONS IN ARABIC SPEECH MONOLOGUES [PDF] from kfupm.edu.sa O Khan, WG Al-Khatib… – Arabian Journal for Science …, 2010 – ajse.kfupm.edu.sa … Researchers have used prosodic features for dialog act detection [2–4], topic segmentation [5,6], sentence boundary detection [7–11], emotion … research was carried out on a corpus of spoken tutor dialogues for the development of intelligent tutoring spoken dialogue systems. … Related articles – View as HTML

Mining association language patterns using a distributional semantic model for negative life event classification LC Yu, CL Chan, CC Lin… – Journal of Biomedical Informatics, 2011 – Elsevier … A dialog system could generate supportive responses if it could understand the negative life events embedded in users input. … However, association rule mining uses the mutual information (Section 2.3.2) to discover word associations within the sentence boundary, which may … Related articles – All 3 versions

Sequential dependency analysis for online spontaneous speech processing T Oba, T Hori… – Speech Communication, 2008 – Elsevier … Online processing is indispensable for advanced speech applications such as simultaneous speech translation, real-time captioning with speech summarization, and human-like dialog systems. … (2) Analysis including sentence boundary detection. … Related articles – All 3 versions

Predicting dialogue state transitions using prosodic markers: Exploring AMI Corpus backchannels [PDF] from utwente.nl ICC Nouwens – 2009 – essay.utwente.nl … extra modalities, like non-verbal communication with hand gestures, or gazing behavior were taken into account in (spoken) dialogue systems. … a set of local prosodic features was used to determine if two sequential words surrounded a sentence boundary, (Shriberg, Stolcke … Cited by 1 – Related articles – All 3 versions

[BOOK] Spoken Language Understanding: Systems for Extracting Semantic Information from Speech G Tur, R De Mori – 2011 – books.google.com … Handling Speech in QA Systems 6.3 QA Evaluation Campaigns 6.4 Question-answering systems 6.5 Projects Integrating Spoken Requests and Question Answering 6.6 Conclusions References Chapter 7: SLU in Commercial and Research Spoken Dialogue Systems 7.1 Why … Cited by 7 – Related articles – Library Search

Data driven approach for language model adaptation using stepwise relative entropy minimization [PDF] from usc.edu A Sethy, S Narayanan… – Acoustics, Speech and …, 2007 – ieeexplore.ieee.org … previous results on the Transonics task [8]. The Transonics sys- tem is a real-time limited domain dialog system for medical … We piped the text through a maximum entropy based sentence boundary detector to insert better sentence boundary marks.Sentences and documents … Cited by 4 – Related articles – All 4 versions

Using Prosody for Automatically Monitoring Human-Computer Call Dialogues [PDF] from univ-aix.fr W Kim – Proceedings of Speech Prosody 2008, 2008 – isca-speech.org … I. Langkilde, H. Hastie, J. Wright, and A. Gorin, “Automatically training a problematic dialogue predictor for a spoken dialogue system,” Journal of Arti … M. Harper, E. Shriberg, and A. Stolcke, “A study in machine learning from imbalanced data for sentence boundary detection in … Cited by 1 – Related articles – All 3 versions

Equivalence of Generative and Log-Linear Models G Heigold, H Ney, P Lehnen… – Audio, Speech, and …, 2011 – ieeexplore.ieee.org … x p(x|c) = 1}}. Similar to speech recognition, each tag string is assumed to start and end with the boundary symbol $, ie, c0 = cN+1 = $. This sentence boundary symbol is treated in the same way as the regular tags. Similarly … Related articles – All 2 versions

Thai speech processing technology: A review C Wutiwiwatchai… – speech communication, 2007 – Elsevier … Acoustic modeling 5.3. Language modeling 5.4. Noise robustness 5.5. Prosody in ASR 6. Thai speech applications 6.1. Spoken dialogue systems 6.2. Speech translation 6.3. Speaker recognition 7. Language resources 7.1. Text resources 7.2. Speech resources 7.3. … Cited by 19 – Related articles – All 6 versions

[PDF] A multi-strategic concept-spotting approach for robust understanding of spoken Korean [PDF] from etri.re.kr C Lee, J Eun, M Jeong, GG Lee, YG Hwang… – ETRI journal, 2007 – etrij.etri.re.kr … of an utterance at the discourse level, and it is approximately the equivalent of intent or subject slot in a practical dialog system. … a normalization factor to ensure that Yp(y£) = 1. Maximum entropy has been applied to various NLP tasks such as sentence boundary detection, POS … Cited by 9 – Related articles – BL Direct – All 8 versions

Medical data mining: improving information accessibility using online patient drug reviews [PDF] from 18.7.29.232 S Seneff, YA Li – 2011 – 18.7.29.232 … 26 2.2.1 Dialogue Systems….. 26 2.2.2 Health Surveillance….. … as word sense disambiguation, syntactic parsing, and topic detection. to the domain specific applications of clinical decision making, medical dialogue systems, and diag- nosis. … Cited by 1 – Related articles – All 4 versions

[PDF] Automatic segmentation of speech into sentence-like units [PDF] from zcu.cz J Kolár – 2008 – kky.zcu.cz … [2] achieved a significant error reduction in parsing perfor- mance by using an automatic sentence boundary detection system, Furui et al. … Speech prosody is overviewed here since I use prosodic features as important cues for automatic sentence boundary detection. … Cited by 4 – Related articles – View as HTML – All 10 versions

METHOD FOR AUTOMATICALLY IDENTIFYING SENTENCE BOUNDARIES IN NOISY CONVERSATIONAL DATA T Nasukawa, D Punjani, S Roy… – US Patent App. …, 2007 – freepatentsonline.com … 20070255566, Multi-slot dialog systems and methods, November, 2007, Nguyen et al. … However, some of the sentence boundaries in the textual data of ASR output may be identified by assuming that a sufficiently long silence indicates a sentence boundary. … Cached

[PDF] Automatic sentence structure annotation for spoken language processing [PDF] from psu.edu DL Hillard – 2008 – Citeseer … 101 8.2 Examples where noun phrase assignment is ambiguous due to a missed sentence boundary (1) or comma (2). Even if semantically unlikely, the assignment is usually syntactically correct. … of [187] for broadcast news sentence boundary detection. … Cited by 7 – Related articles – View as HTML – Library Search – All 14 versions

[PDF] Clause Boundary Detection in Transcribed Spoken Language [PDF] from uio.no F Jørgensen – Proceedings from NODALIDA, 2007 – folk.uio.no … eg Part of Speech tagging), syntax (eg parsing and (semi-)automatic treebank construction) and se- mantics (in dialogue systems, where eg … Inclusion of relative frequencies has been proved useful for sentence boundary detection in written language (See eg Stevenson and … Cited by 1 – Related articles – View as HTML – All 4 versions

Intelligent Transcription System Based on Spontaneous Speech Processing [PDF] from kyoto-u.ac.jp T Kawahara – … of Knowledge Society Infrastructure, 2007. ICKS …, 2007 – ieeexplore.ieee.org … [15] T.Misu and T.Kawahara. A bootstrapping approach for developing language model of new spoken dialogue systems by selecting web texts. In Proc. … Dependency structure analysis and sentence boundary detection in spontaneous Japanese. In Proc. … Related articles – All 5 versions

Speech Recognition by Machine, A Review [PDF] from arxiv.org MA Anusuya… – Arxiv preprint arXiv:1001.2267, 2010 – arxiv.org Page 1. (IJCSIS) International Journal of Computer Science and Information Security, Vol. 6, No. 3, 2009 Speech Recognition by Machine: A Review MAAnusuya Department of Computer Science and Engineering Sri Jaya chamarajendra College of Engineering Mysore, India . … Cited by 17 – Related articles – All 7 versions

Inter-coder agreement for computational linguistics [PDF] from essex.ac.uk R Artstein… – Computational Linguistics, 2008 – dl.acm.org Page 1. Survey Article Inter-Coder Agreement for Computational Linguistics Ron Artstein * University of Essex Massimo Poesio ** University of Essex/Universit`a di Trento This article is a survey of methods for measuring agreement among corpus annotators. … Cited by 183 – Related articles – All 28 versions

Spoken language understanding: a survey [PDF] from ist-luna.eu R De Mori – … Recognition & Understanding, 2007. ASRU. IEEE …, 2007 – ieeexplore.ieee.org Page 1. SPOKEN LANGUAGE UNDERSTANDING: A SURVEY Renato De Mori LIA – BP 1228 – 84911Avignon CEDEX 9 (France) renato.demori@univ-avignon.fr ABSTRACT A survey of research on spoken language understanding is presented. … Cited by 4 – Related articles – All 15 versions

Discriminative Reranking for Spoken Language Understanding [PDF] from unitn.it M Dinarelli, A Moschitti… – 2011 – 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. …

Speechlinks: Robust Cross-Lingual Tactical Communication Aids [PDF] from dtic.mil S Narayanan – 2008 – DTIC Document … We present results on language model adaptation using two speech recognition tasks: a medium vocabulary medical domain doctor-patient dialog system and a large vocabulary transcription system for European parliament plenary speeches. … Related articles – Library Search – All 2 versions

[PDF] Statistical and Discriminative Language Modeling for Turkish Large Vocabulary Continuous Speech Recognition [PDF] from uoa.gr E Arisoy – 2009 – arehna.di.uoa.gr Page 1. STATISTICAL AND DISCRIMINATIVE LANGUAGE MODELING FOR TURKISH LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION by Ebru Arisoy BS, Electrical and Electronics Engineering, Bo?gaziçi University, 2002 … Cited by 1 – Related articles – View as HTML – All 2 versions

[BOOK] Errors and intelligence in computer-assisted language learning: Parsers and pedagogues T Heift… – 2007 – books.google.com Page 1. Errors and Intelligence in Computer-Assisted Language Learning Parsers and Pedagogues Trude Heift and Mathias Schulze Routledge Taylor & Francis Croup Page 2. Errors and Intelligence in Computer-Assisted Language Learning Page 3. … Cited by 67 – Related articles – Library Search – All 2 versions

Summarizing Spoken Documents Through Utterance Selection [PDF] from utoronto.ca X Zhu – 2010 – tspace.library.utoronto.ca … Kameyama et al. (1996), for example, extracted person names, locations, and dates/time to fill templates of a room-reservation dialogue system, with templates like: “who re- served or cancelled which room, for what time, on what date”. That work adopted 11 Page 25. … Cited by 2 – Related articles – All 3 versions

Sortal Anaphora Resolution in Medline Abstracts [HTML] from citeulike.org M Torii… – Computational Intelligence, 2007 – Wiley Online Library … Specifically, we first applied a sentence boundary detector MxTerminator (Reynar and Ratnaparkhi 1997), and then a sentence parser … Joint Conferences on Artificial Intelligence, Workshop on Knowledge and Reasoning in Practical Dialogue Systems, Seattle , Washington … Cited by 2 – Related articles – BL Direct – All 4 versions

Discourse Processing M Stede – Synthesis Lectures on Human Language …, 2011 – morganclaypool.com … Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 … Discourse processing, in a nutshell, is language processing beyond the sentence boundary: We com- pute information about a text in order to supplement the results of sentence processing (eg, when …

[PDF] Gesture in automatic discourse processing [PDF] from wapka.mobi J Eisenstein – 2008 – fundunia.wapka.mobi … 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 … Cited by 5 – Related articles – View as HTML – All 13 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

[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

Language Modeling for limited-data domains [PDF] from dspace.org JR Glass, BJ Hsu – 2009 – mit.dspace.org … In a collaborative environment like Wikipedia, over half of the edits are made by less than 0.7% of the registered users [147]. Similarly, we also expect a small fraction of enthusiasts of such a feedback-driven spoken dialog system to contribute the majority of the training data. … Related articles – All 4 versions

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

[BOOK] Discourse Parsing M Stede – 2011 – books.google.com … Chris Dyer 2010 Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen … 1 CHAPTER 1 Introduction Discourse processing, in a nutshell, is language processing beyond the sentence boundary: We com- pute …

[PDF] Language Modeling for Limited-Data Domains [PDF] from mit.edu BJP Hsu – 2009 – groups.csail.mit.edu … In a collaborative environment like Wikipedia, over half of the edits are made by less than 0.7% of the registered users [147]. Similarly, we also expect a small fraction of enthusiasts of such a feedback-driven spoken dialog system to contribute the majority of the training data. … Related articles – View as HTML – Library Search

Web resources for language modeling in conversational speech recognition I Bulyko, M Ostendorf, M Siu, T Ng… – ACM Transactions on …, 2007 – dl.acm.org … target task. We then piped the text through a maximum entropy sentence boundary detector [Ratnaparkhi 1996] and performed text normalization. For English, texts are normalized us- ing NSW tools [Sproat et al. 2001] available … Cited by 32 – Related articles – All 3 versions

Management and Processing of Information M Beggelman… – US Patent App. 20,090/ …, 2008 – freepatentsonline.com … Schweng – July, 2006 – 20060161430 Apparatus and method for post-processing dialogue error in speech dialogue system using multilevel … method of claim 20 wherein performing language normalization comprises: performing one or more of: sentence boundary parsing, word … Cached

[PDF] Natural-language processing: Method of human-computer interaction [PDF] from bioinfo.in AB Khade, VS Gomase – 2010 – bioinfo.in Page 1. Journal of Machine Learning Technologies, ISSN: 2229–3965 & ISSN: 2229–3973, Volume 1, Issue, 1, 2010, PP-01-36 Copyright @ 2010, Bioinfo Publications Journal of Machine Learning Technologies, ISSN: 2229–3965 & ISSN: 2229–3973, Volume 1, Issue, 1, 2010 … Related articles – View as HTML

[PDF] Categorical prosody models for spoken language applications [PDF] from usc.edu S Ananthakrishnan – 2008 – digarc.usc.edu … The boundary strengths ranged from within-word (clitic) to a full sentence boundary. Three native … aries, and with the well-known ToBI annotation scheme, which defines 5 break index categories, ranging from a clitic boundary to a full sentence boundary. These results … Related articles – View as HTML – All 7 versions

15.1 Evolution of Mobile Multimedia S Siltanen, C Woodward, S Valli… – … : audio, video, text, 2008 – books.google.com … on Visual Commu- nications and Image Processing, 1990, pp. 122–134. 25. E. Ammicht, E. Fosler-Lussier, and A. Potamianos,“Information seeking spo- ken dialogue systems-Part I: Semantics and pragmatics,” IEEE Trans. Mul- timedia, vol. 9, no. 3, pp. 532–549, 2007. 26. … Related articles

[PDF] Computational-Linguistic Approaches to Biological Text Mining [PDF] from biotext.org.uk AB Clegg – 2008 – biotext.org.uk … timeframe. The subfields of speech and gesture processing can be ignored wholesale, as can the large bodies of work dealing with multi-agent dialogue systems, emotional tone, colloquial and ungrammatical utterances, and so on. … Cited by 5 – Related articles – View as HTML – All 4 versions

Bitext Alignment J Tiedemann – Synthesis Lectures on Human Language …, 2011 – 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 1 – Related articles – Library Search – All 2 versions

[PDF] A daily scrum meeting summarizer for Agile software development teams [PDF] from ucalgary.ca S Park – 2007 – ase.cpsc.ucalgary.ca Page 1. UNIVERSITY OF CALGARY A Daily Scrum Meeting Summarizer for Agile Software Development Teams By Shelly Park A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE … Related articles – View as HTML – Library Search – All 11 versions

[PDF] Long-answer question answering and rhetorical-semantic relations [PDF] from psu.edu SJ Blair-Goldensohn – 2007 – Citeseer Page 1. Long-Answer Question Answering and Rhetorical-Semantic Relations Sasha J. Blair-Goldensohn Submitted in partial fulfillment of the Requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2007 … Cited by 5 – Related articles – View as HTML – Library Search – All 7 versions

[PDF] LEARNING SUB-WORD UNITS AND EXPLOITING CONTEXTUAL INFORMATION FOR OPEN VOCABULARY SPEECH RECOGNITION [PDF] from jhu.edu MC Parada – 2011 – clsp.jhu.edu Page 1. LEARNING SUB-WORD UNITS AND EXPLOITING CONTEXTUAL INFORMATION FOR OPEN VOCABULARY SPEECH RECOGNITION by Maria Carolina Parada A dissertation submitted to The Johns Hopkins University in conformity with the … 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

Large-scale acoustic and prosodic investigations of french [PDF] from archives-ouvertes.fr R Nemoto – 2011 – hal.archives-ouvertes.fr Page 1. Université Paris–Sud — Faculté des sciences d’Orsay École Doctorale d’Informatique de Paris-Sud Laboratoire d’Informatique pour la Mécanique et les Sciences de l’Ingénieur LARGE-SCALE ACOUSTIC AND PROSODIC INVESTIGATIONS OF FRENCH …

[PDF] Implicature as an Interactive Process [PDF] from inria.fr L Benotti – 2010 – hal.inria.fr … 57 1.2.3 From philosophy to inference: Abduction . . . . . 59 1.2.4 From philosophy to dialogue systems: Speech acts . . . . . 60 1.3 Empirical analysis in situated conversation . . . . . 61 1.4 Analysis by synthesis in a dialogue system . . . . . … Cited by 5 – Related articles – View as HTML – All 6 versions

L’implicature comme un Processus Interactif [PDF] from archives-ouvertes.fr L Benotti – 2010 – hal.archives-ouvertes.fr … 57 1.2.3 From philosophy to inference: Abduction . . . . . 59 1.2.4 From philosophy to dialogue systems: Speech acts . . . . . 60 1.3 Empirical analysis in situated conversation . . . . . 61 1.4 Analysis by synthesis in a dialogue system . . . . . … Related articles – All 4 versions

[PDF] Intelligent Informatics [PDF] from hkbu.edu.hk P Chan, R Menezes, D Mitra, E Ribeiro, M Silaghi… – 2007 – comp.hkbu.edu.hk Page 1. THE IEEE Intelligent Informatics BULLETIN IEEE Computer Society Technical Committee November 2007 Vol. 8 No. 1 (ISSN 1727-5997) on Intelligent Informatics ————— … Related articles – View as HTML – All 4 versions

[BOOK] Investigar con corpus en traducción: los retos de un nuevo paradigma GC Pastor – 2008 – books.google.com Page 1. Studien zur romanischen Sprachwissenschaft und interkulturellen Kommunikation HERAUSGEGEBEN VON GERD WOTJAK Gloria Corpas Pastor Investigar con corpus en traducción: los retos de un nuevo paradigma … Cited by 10 – Related articles – Library Search – All 2 versions

A framework for exploiting electronic documentation in support of innovation processes [TXT] from sun.ac.za JW Uys – 2010 – scholar.sun.ac.za Stellenbosch University Department of Industrial Engineering A Framework for Exploiting Electronic Documentation in Support of Innovation Processes JW Uys Dissertation presented for the degree of Doctor of Philosophy at Stellenbosch University. Promoter: Prof. … Cited by 3 – Related articles – All 6 versions