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Elizabeth Shriberg Andreas Stolcke PowerPoint PPT Presentation
Elizabeth Shriberg Andreas Stolcke - Do you have a flight between Philadelphia and San Francisco? ... Personal Satellite Assistant: Dialog system controlling a (simulated) on-board robot ...
Do you have a flight between Philadelphia and San Francisco? ... Personal Satellite Assistant: Dialog system controlling a (simulated) on-board robot ...
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Liz Shriberg* Andreas Stolcke* Jeremy Ang PowerPoint PPT Presentation
Liz Shriberg* Andreas Stolcke* Jeremy Ang - Shriberg, Stolcke, Ang: Prosody for Emotion Detection. DARPA ROAR Workshop ... Prosody = rhythm, melody, 'tone' of speech. Largely unused in current ASU systems ...
Shriberg, Stolcke, Ang: Prosody for Emotion Detection. DARPA ROAR Workshop ... Prosody = rhythm, melody, 'tone' of speech. Largely unused in current ASU systems ...
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Grammar induction by Bayesian model averaging PowerPoint PPT Presentation
Grammar induction by Bayesian model averaging - Grammar induction by Bayesian model averaging Guy Lebanon LARG meeting May 2001 Based on Andreas Stolcke s thesis UC Berkeley 1994 Why automatic grammar induction ...
Grammar induction by Bayesian model averaging Guy Lebanon LARG meeting May 2001 Based on Andreas Stolcke s thesis UC Berkeley 1994 Why automatic grammar induction ...
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Probabilistic Context Free Grammars for Representing Action PowerPoint PPT Presentation
Probabilistic Context Free Grammars for Representing Action - ... (1) Book (2) that (3) flight. Earley-Stolcke Parser (1) A state ... Real-time performance. Labeling activities and person-vehicle interactions in a parking lot ...
... (1) Book (2) that (3) flight. Earley-Stolcke Parser (1) A state ... Real-time performance. Labeling activities and person-vehicle interactions in a parking lot ...
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Automatic Decision Detection in Conversational Speech PowerPoint PPT Presentation
Automatic Decision Detection in Conversational Speech - automatic decision detection in conversational speech ... Prosodic features ... Prosodic features (Shriberg and Stolcke, 2001; Murray et al., 2006) Duration ...
automatic decision detection in conversational speech ... Prosodic features ... Prosodic features (Shriberg and Stolcke, 2001; Murray et al., 2006) Duration ...
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Highlights of the SRI ICSI UW MDE Systems PowerPoint PPT Presentation
Highlights of the SRI ICSI UW MDE Systems - Structural MDE: Yang Liu, Liz Shriberg, Andreas Stolcke, Jeremy Ang, Dustin ... Prosody model: decision tree classifier based on ~100 prosodic features ...
Structural MDE: Yang Liu, Liz Shriberg, Andreas Stolcke, Jeremy Ang, Dustin ... Prosody model: decision tree classifier based on ~100 prosodic features ...
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Grammar induction by Bayesian model averaging PowerPoint PPT Presentation
Grammar induction by Bayesian model averaging - The solution of expanding the grammar leads to explosion of grammar rules. ... For each grammar (rule probabilities rules), a prior probability p(M) is assigned. ...
The solution of expanding the grammar leads to explosion of grammar rules. ... For each grammar (rule probabilities rules), a prior probability p(M) is assigned. ...
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Course presentation: Speech Recognition PowerPoint PPT Presentation
Course presentation: Speech Recognition - Robust Methods for Automatic Transcription and Alignment of Speech Signals Course presentation: Speech Recognition Leif Gr nqvist (leifg@ling.gu.se)
Robust Methods for Automatic Transcription and Alignment of Speech Signals Course presentation: Speech Recognition Leif Gr nqvist (leifg@ling.gu.se)
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Minimum Description Length An Adequate Syntactic Theory? PowerPoint PPT Presentation
Minimum Description Length An Adequate Syntactic Theory? - Minimum Description Length An Adequate Syntactic Theory? Mike Dowman 3 June 2005 Linguistic Theory Diachronic Theories Learnability Poverty of the stimulus Language ...
Minimum Description Length An Adequate Syntactic Theory? Mike Dowman 3 June 2005 Linguistic Theory Diachronic Theories Learnability Poverty of the stimulus Language ...
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Beyond PCFGs PowerPoint PPT Presentation
Beyond PCFGs - Hermjakob and Mooney Briscoe and Carroll Collins Chelba and Jelinek
Hermjakob and Mooney Briscoe and Carroll Collins Chelba and Jelinek
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Dialog act tagging using MemoryBased Learning PowerPoint PPT Presentation
Dialog act tagging using MemoryBased Learning - Conclusion. Dialog act (DA) tagging. Shallow semantic analysis of utterances ... Conclusion. Memory-based learning (MBL) Memory-based reasoning theory ...
Conclusion. Dialog act (DA) tagging. Shallow semantic analysis of utterances ... Conclusion. Memory-based learning (MBL) Memory-based reasoning theory ...
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Learning LongTerm Temporal Features for Conversational Speech Recognition PowerPoint PPT Presentation
Learning LongTerm Temporal Features for Conversational Speech Recognition - Mutual information - more than 100 ms. Potential robustness ... Experimental Setup ... 1st pass decoding using a bigram language model and within-word triphone ...
Mutual information - more than 100 ms. Potential robustness ... Experimental Setup ... 1st pass decoding using a bigram language model and within-word triphone ...
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Stochastic Grammars: Overview PowerPoint PPT Presentation
Stochastic Grammars: Overview - Stochastic Grammars: Overview Representation: Stochastic grammar Terminals: object interactions Context-sensitive due to internal scene models Domain: Towers of Hanoi
Stochastic Grammars: Overview Representation: Stochastic grammar Terminals: object interactions Context-sensitive due to internal scene models Domain: Towers of Hanoi
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Sausage PowerPoint PPT Presentation
Sausage - Firstly we construct a pruned confusion network. Then intersect the original lattice with the pruned confusion network. Algorithm. An Example ...
Firstly we construct a pruned confusion network. Then intersect the original lattice with the pruned confusion network. Algorithm. An Example ...
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Forest-to-String Statistical Translation Rules PowerPoint PPT Presentation
Forest-to-String Statistical Translation Rules - Forest-to-String Statistical Translation Rules Yang Liu, Qun Liu, and Shouxun Lin Institute of Computing Technology Chinese Academy of Sciences
Forest-to-String Statistical Translation Rules Yang Liu, Qun Liu, and Shouxun Lin Institute of Computing Technology Chinese Academy of Sciences
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Emotional Speech PowerPoint PPT Presentation
Emotional Speech - interested. anxious. bored. encouraging. Acted Corpora. CS ... Negative: angry, anxious, bored, frustrated, sad. Example. CS 4706. 9. Emotion Intercorrelations ...
interested. anxious. bored. encouraging. Acted Corpora. CS ... Negative: angry, anxious, bored, frustrated, sad. Example. CS 4706. 9. Emotion Intercorrelations ...
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Learning Hidden Markov Model Structure for Information Extraction PowerPoint PPT Presentation
Learning Hidden Markov Model Structure for Information Extraction - Learning Hidden Markov Model Structure for Information Extraction Kristie Seymour, Andrew McCullum, & Ronald Rosenfeld Hidden Markov Model Structures Machine learning ...
Learning Hidden Markov Model Structure for Information Extraction Kristie Seymour, Andrew McCullum, & Ronald Rosenfeld Hidden Markov Model Structures Machine learning ...
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Dr. Hagai Aronowitz PowerPoint PPT Presentation
Dr. Hagai Aronowitz - Given labeled training segments from class and class , classify unlabeled test ... Intersession variability modeling in projected space [Collet et al., 2005] ...
Given labeled training segments from class and class , classify unlabeled test ... Intersession variability modeling in projected space [Collet et al., 2005] ...
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Emotional Grounding in Spoken Dialog Systems PowerPoint PPT Presentation
Emotional Grounding in Spoken Dialog Systems - Somewhat Frustrated. Very Frustrated. Somewhat Angry. Very Angry. Other ... Somewhat Frustrated. User: Agent: Positive/Neutral. User: 20020221/0221080552atf1536 ...
Somewhat Frustrated. Very Frustrated. Somewhat Angry. Very Angry. Other ... Somewhat Frustrated. User: Agent: Positive/Neutral. User: 20020221/0221080552atf1536 ...
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Word clustering: Smaller models, Faster training PowerPoint PPT Presentation
Word clustering: Smaller models, Faster training - WEEKDAY = Sunday, Monday, Tuesday, ... EVENT=party, celebration, ... WEEKDAY = Sunday, Monday, Tuesday, ... MONTH = January, February, April, May, June, ...
WEEKDAY = Sunday, Monday, Tuesday, ... EVENT=party, celebration, ... WEEKDAY = Sunday, Monday, Tuesday, ... MONTH = January, February, April, May, June, ...
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Embodied Models of Language Learning and Use Embodied language learning PowerPoint PPT Presentation
Embodied Models of Language Learning and Use Embodied language learning - UC Berkeley / International Computer Science Institute. From ... Doggie bed. 0-9 months. Smiles. Responds differently to intonation. Responds to name and 'no' ...
UC Berkeley / International Computer Science Institute. From ... Doggie bed. 0-9 months. Smiles. Responds differently to intonation. Responds to name and 'no' ...
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Word clustering: Smaller models, Faster training PowerPoint PPT Presentation
Word clustering: Smaller models, Faster training - 10th Anniversary Last Week. Very roughly 500 researchers. I don't know what 430 of them are doing ... Li Deng, Alex Acero, Jasha Droppo. Noise Robustness (Great ...
10th Anniversary Last Week. Very roughly 500 researchers. I don't know what 430 of them are doing ... Li Deng, Alex Acero, Jasha Droppo. Noise Robustness (Great ...
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Prosodic Fortification in Error Resolution PowerPoint PPT Presentation
Prosodic Fortification in Error Resolution - Enhanced prosodic markup could ... between human judgments and prosodic features of 'hot spots' ... weighting of prosodic fortification strategies ...
Enhanced prosodic markup could ... between human judgments and prosodic features of 'hot spots' ... weighting of prosodic fortification strategies ...
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Part III Learning structured representations Hierarchical Bayesian models PowerPoint PPT Presentation
Part III Learning structured representations Hierarchical Bayesian models - Bags in general. Meta-constraints. Shape of the Beta prior. A hierarchical Bayesian model ... Bags in general. Meta-constraints. Learning about feature ...
Bags in general. Meta-constraints. Shape of the Beta prior. A hierarchical Bayesian model ... Bags in general. Meta-constraints. Learning about feature ...
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Learning Hidden Markov Model Structure for Information Extraction PowerPoint PPT Presentation
Learning Hidden Markov Model Structure for Information Extraction - Learning Hidden Markov Model Structure for Information Extraction. Kristie Seymour, ... Multiple affiliations possible. Last 2 words - explicit. My Assessment ...
Learning Hidden Markov Model Structure for Information Extraction. Kristie Seymour, ... Multiple affiliations possible. Last 2 words - explicit. My Assessment ...
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Fast State Discovery for HMM Model Selection and Learning PowerPoint PPT Presentation
Fast State Discovery for HMM Model Selection and Learning - Consider a sequence of real-valued observations (speech, sensor readings, stock prices ... Multi-restart Baum-Welch N is inefficient, highly prone to local minima ...
Consider a sequence of real-valued observations (speech, sensor readings, stock prices ... Multi-restart Baum-Welch N is inefficient, highly prone to local minima ...
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Fast Temporal State-Splitting for HMM Model Selection and Learning PowerPoint PPT Presentation
Fast Temporal State-Splitting for HMM Model Selection and Learning - for HMM Model Selection and Learning. Sajid Siddiqi. Geoffrey Gordon. Andrew Moore. t ... Obtain updated model parameters s 1 by maximizing this log-likelihood ...
for HMM Model Selection and Learning. Sajid Siddiqi. Geoffrey Gordon. Andrew Moore. t ... Obtain updated model parameters s 1 by maximizing this log-likelihood ...
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Humancomputer dialogue processing: where are we PowerPoint PPT Presentation
Humancomputer dialogue processing: where are we - I think it may all be a publicity stunt for Ellen. PROGRAM[10:20:01]Ellen Degeneres was one of them she was kissing her lover ...
I think it may all be a publicity stunt for Ellen. PROGRAM[10:20:01]Ellen Degeneres was one of them she was kissing her lover ...
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Multimodal Technology Integration for NewsonDemand PowerPoint PPT Presentation
Multimodal Technology Integration for NewsonDemand - Speech: Dilek Hakkani, Madelaine Plauche, Zev Rivlin, Ananth ... longer duration (more careful pronunciation) more within-word pitch variation. Challenges ...
Speech: Dilek Hakkani, Madelaine Plauche, Zev Rivlin, Ananth ... longer duration (more careful pronunciation) more within-word pitch variation. Challenges ...
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SRI PowerPoint PPT Presentation
SRI - NIST SRE Workshop, June 2006, San Juan, PR. 12. Overall Pre-Eval Improvement on SRE05 ... Step 1: Fixed bugs' (processed all English data as English) XSRI' ...
NIST SRE Workshop, June 2006, San Juan, PR. 12. Overall Pre-Eval Improvement on SRE05 ... Step 1: Fixed bugs' (processed all English data as English) XSRI' ...
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Tandem Connectionist Feature Extraction for Conversational Speech Recognition PowerPoint PPT Presentation
Tandem Connectionist Feature Extraction for Conversational Speech Recognition - ... the discriminative information ... MMIE discriminative training. Better LM rescore. System combination ... hours training, discriminative training and ...
... the discriminative information ... MMIE discriminative training. Better LM rescore. System combination ... hours training, discriminative training and ...
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Brno%20University%20Of%20Technology%20%20Speech@FIT%20%20Luk PowerPoint PPT Presentation
Brno%20University%20Of%20Technology%20%20Speech@FIT%20%20Luk - Luk Burget, Michal Fap o, Valiantsina Hubeika, Ondrej Glembek, ... Discriminatively trained using MPE. Adapted to speaker: VTLN, SAT based on CMLLR, MLLR ...
Luk Burget, Michal Fap o, Valiantsina Hubeika, Ondrej Glembek, ... Discriminatively trained using MPE. Adapted to speaker: VTLN, SAT based on CMLLR, MLLR ...
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Language Models for Handwriting PowerPoint PPT Presentation
Language Models for Handwriting - Language Models for Handwriting
Language Models for Handwriting
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Phrase Extraction in PB-SMT PowerPoint PPT Presentation
Phrase Extraction in PB-SMT - Phrase induction via percolated dependencies. Experimental setup ... Percolation I ... Parse by applying head percolation tables on constituency-annotated trees ...
Phrase induction via percolated dependencies. Experimental setup ... Percolation I ... Parse by applying head percolation tables on constituency-annotated trees ...
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From Dirt to Shovels: Automatic Tool Generation from Ad Hoc Data PowerPoint PPT Presentation
From Dirt to Shovels: Automatic Tool Generation from Ad Hoc Data - From Dirt to Shovels: Automatic Tool Generation. from Ad Hoc Data. Kenny Zhu. Princeton University ... Int, string, date, time, URLs, hostnames ...
From Dirt to Shovels: Automatic Tool Generation. from Ad Hoc Data. Kenny Zhu. Princeton University ... Int, string, date, time, URLs, hostnames ...
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From Dirt to Shovels: Automatic Tool Generation from Ad Hoc Data PowerPoint PPT Presentation
From Dirt to Shovels: Automatic Tool Generation from Ad Hoc Data - Int, string, date, time, URLs, hostnames ... Rufus system '93, TSIMMIS '94, Potter's Wheel '01. Top-down structure discovery ...
Int, string, date, time, URLs, hostnames ... Rufus system '93, TSIMMIS '94, Potter's Wheel '01. Top-down structure discovery ...
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Accounting for STT Uncertainty in MDE PowerPoint PPT Presentation
Accounting for STT Uncertainty in MDE - Prosodic Features for Lattices ... for efficient computation of prosodic features over all lattice ... Prosodic and language model scores for each event node ...
Prosodic Features for Lattices ... for efficient computation of prosodic features over all lattice ... Prosodic and language model scores for each event node ...
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M PowerPoint PPT Presentation
M - necesidades sentidas en la ense anza de espa ol como segunda lengua a personas adultas en valencia: an lisis y propuestas m desamparados mass porcar
necesidades sentidas en la ense anza de espa ol como segunda lengua a personas adultas en valencia: an lisis y propuestas m desamparados mass porcar
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Approaching a New Language in Machine Translation PowerPoint PPT Presentation
Approaching a New Language in Machine Translation - Approaching a New Language in Machine Translation. Anna S gvall Hein, Per Weijnitz ... collecting a small sv-en translation corpus from the automotive domain (Scania) ...
Approaching a New Language in Machine Translation. Anna S gvall Hein, Per Weijnitz ... collecting a small sv-en translation corpus from the automotive domain (Scania) ...
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Stochastic Grammars: Overview PowerPoint PPT Presentation
Stochastic Grammars: Overview - Stochastic grammar. Parser augmented with parameters and internal scene model ... Stochastic. Parser. Pre-conceptual. Reasoning: Object IDs. Expectation ...
Stochastic grammar. Parser augmented with parameters and internal scene model ... Stochastic. Parser. Pre-conceptual. Reasoning: Object IDs. Expectation ...
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Bayesian%20models%20of%20inductive%20learning PowerPoint PPT Presentation
Bayesian%20models%20of%20inductive%20learning - In-depth examples of basic and advanced models: how the math works & what it buys you. ... Basic of Bayesian inference (Josh) Graphical models, causal ...
In-depth examples of basic and advanced models: how the math works & what it buys you. ... Basic of Bayesian inference (Josh) Graphical models, causal ...
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IBM Smart Surveillance System S3 Sales and Technical Training PowerPoint PPT Presentation
IBM Smart Surveillance System S3 Sales and Technical Training - ... (Sign Language Recognition, Head Gesture, etc.) Many variations have been proposed (see e.g., coupled HMMs). More recently, Conditional Random Fields ...
... (Sign Language Recognition, Head Gesture, etc.) Many variations have been proposed (see e.g., coupled HMMs). More recently, Conditional Random Fields ...
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PartofSpeech Tagging using Virtual Evidence and Negative Training PowerPoint PPT Presentation
PartofSpeech Tagging using Virtual Evidence and Negative Training - Signal, Speech, and Language Interpretation Laboratory (SSLI-LAB) ... She/PRP accepted/VBD the/DT position/NN of/IN ... recognition by Bahl and Mercer, 1976) ...
Signal, Speech, and Language Interpretation Laboratory (SSLI-LAB) ... She/PRP accepted/VBD the/DT position/NN of/IN ... recognition by Bahl and Mercer, 1976) ...
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Detecting Categories in News Video Using Image Features PowerPoint PPT Presentation
Detecting Categories in News Video Using Image Features - Detecting Categories in News Video Using Image Features ... Stereotypical pose. Little clutter. Objects centered. One object per image. Caltech 101 Results ...
Detecting Categories in News Video Using Image Features ... Stereotypical pose. Little clutter. Objects centered. One object per image. Caltech 101 Results ...
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Use of Boundary Metadata in Parsing PowerPoint PPT Presentation
Use of Boundary Metadata in Parsing - Beyond EARS: prosodic phrases, discourse segments ... From prosodic phrase break modeling work: ... LM. Explore use of sub-SU events (e.g. prosodic breaks) ...
Beyond EARS: prosodic phrases, discourse segments ... From prosodic phrase break modeling work: ... LM. Explore use of sub-SU events (e.g. prosodic breaks) ...
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A Frame Classifier that Provides Endpoints for Owner Speech Recorded in MultiChannel Meetings PowerPoint PPT Presentation
A Frame Classifier that Provides Endpoints for Owner Speech Recorded in MultiChannel Meetings - Meeting Recorder (MR) application running on each user's laptop, ... Consistence in features distribution across different channels (e.g. energy normalization) ...
Meeting Recorder (MR) application running on each user's laptop, ... Consistence in features distribution across different channels (e.g. energy normalization) ...
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Explorations in Discriminative Training PowerPoint PPT Presentation
Explorations in Discriminative Training - ... word information, compiles pronunciation dictionary into compact HMM state ... CTS MFC crossword model, trained on 1400 hours (SWB Fisher) ...
... word information, compiles pronunciation dictionary into compact HMM state ... CTS MFC crossword model, trained on 1400 hours (SWB Fisher) ...
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Artificial Companions: Explorations in machine personality and dialogue PowerPoint PPT Presentation
Artificial Companions: Explorations in machine personality and dialogue - Artificial Companions: Explorations in machine personality and dialogue
Artificial Companions: Explorations in machine personality and dialogue
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LearnPADS: Inferring Formats from Ad Hoc Data PowerPoint PPT Presentation
LearnPADS: Inferring Formats from Ad Hoc Data - LearnPADS: Inferring Formats from Ad Hoc Data. Kathleen Fisher. AT&T Labs ... 1 Kobe Bryant, LAL 77 40.8 31.6 10.6-22.8 .463 1.8-5.2 .344 8.7-10.0 .868 ...
LearnPADS: Inferring Formats from Ad Hoc Data. Kathleen Fisher. AT&T Labs ... 1 Kobe Bryant, LAL 77 40.8 31.6 10.6-22.8 .463 1.8-5.2 .344 8.7-10.0 .868 ...
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Coupling between ASR and MT in Speech-to-Speech Translation PowerPoint PPT Presentation
Coupling between ASR and MT in Speech-to-Speech Translation - The similarity function directly affect the final output of the consensus network. ... Consensus Network doesn't beat N-best method. ...
The similarity function directly affect the final output of the consensus network. ... Consensus Network doesn't beat N-best method. ...
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Detecting Erroneous Sentences using Automatically Mined Sequential Patterns PowerPoint PPT Presentation
Detecting Erroneous Sentences using Automatically Mined Sequential Patterns - Perplexity from Language Model (PLM) 2 features. Syntactic Score (SC) 1 feature ... The erroneous sentences would have higher perplexity. Proposed Technique ...
Perplexity from Language Model (PLM) 2 features. Syntactic Score (SC) 1 feature ... The erroneous sentences would have higher perplexity. Proposed Technique ...
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Artificial Companions: Explorations in machine personality and dialogue PowerPoint PPT Presentation
Artificial Companions: Explorations in machine personality and dialogue - I think it may all be a publicity stunt for Ellen. PROGRAM[10:20:01]Ellen Degeneres was one of them she was kissing her lover ...
I think it may all be a publicity stunt for Ellen. PROGRAM[10:20:01]Ellen Degeneres was one of them she was kissing her lover ...
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Modeling%20Intention%20in%20Email%20%20Vitor%20R.%20Carvalho PowerPoint PPT Presentation
Modeling%20Intention%20in%20Email%20%20Vitor%20R.%20Carvalho - Language Technologies Institute William W. ... Mozilla Thunderbird ... Cut Once, a Mozilla Thunderbird extension for Leak Detection and Recipient Recommendation ...
Language Technologies Institute William W. ... Mozilla Thunderbird ... Cut Once, a Mozilla Thunderbird extension for Leak Detection and Recipient Recommendation ...
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Grammatical Machine Translation PowerPoint PPT Presentation
Grammatical Machine Translation - Collins et al. 2005. Lin 2004. Ding & Palmer 2005. Quirk et al. 2005 ... Michael Collins, PhilippKoehn and Ivona Kucerova. ... Fei Xia and Michael McCord. ...
Collins et al. 2005. Lin 2004. Ding & Palmer 2005. Quirk et al. 2005 ... Michael Collins, PhilippKoehn and Ivona Kucerova. ... Fei Xia and Michael McCord. ...
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Learning%20the%20Structure%20of%20Task-Oriented%20Conversations%20from%20the%20Corpus%20of%20In-Domain%20Dialogs PowerPoint PPT Presentation
Learning%20the%20Structure%20of%20Task-Oriented%20Conversations%20from%20the%20Corpus%20of%20In-Domain%20Dialogs - ... RATE I HAVE WOULD BE WITH THRIFTY RENTAL CAR FOR TWENTY THREE NINETY A DAY ... Ex: travel reservation = flight car hotel ...
... RATE I HAVE WOULD BE WITH THRIFTY RENTAL CAR FOR TWENTY THREE NINETY A DAY ... Ex: travel reservation = flight car hotel ...
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