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ORCIDDavid Schlangen
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- affiliation: University of Potsdam, Potsdam, Germany
- affiliation (former): Bielefeld University, Bielefeld, Germany
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2020 – today
- 2023
[j10]Mark Dingemanse
, Andreas Liesenfeld, Marlou Rasenberg, Saul Albert, Felix K. Ameka, Abeba Birhane, Dimitris Bolis, Justine Cassell, Rebecca Clift, Elena Cuffari, Hanne De Jaegher, Catarina Dutilh Novaes, N. J. Enfield, Riccardo Fusaroli, Eleni Gregoromichelaki, Edwin Hutchins, Ivana Konvalinka, Damian Milton, Joanna Raczaszek-Leonardi, Vasudevi Reddy, Federico Rossano, David Schlangen, Johanna Seibt, Elizabeth Stokoe, Lucy A. Suchman, Cordula Vesper, Thalia Wheatley, Martina Wiltschko:
Beyond Single-Mindedness: A Figure-Ground Reversal for the Cognitive Sciences. Cogn. Sci. 47(1) (2023)- [c114]Patrick Kahardipraja, Brielen Madureira, David Schlangen:
TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model. ACL (Findings) 2023: 4173-4197 - [c113]Philipp Sadler, Sherzod Hakimov, David Schlangen:
Yes, this Way! Learning to Ground Referring Expressions into Actions with Intra-episodic Feedback from Supportive Teachers. ACL (Findings) 2023: 9228-9239 - [c112]Sherzod Hakimov, David Schlangen:
Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks. ACL (Findings) 2023: 14196-14210 - [c111]Philipp Sadler, David Schlangen:
Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from Examples. EACL 2023: 2098-2114 - [c110]Brielen Madureira, David Schlangen:
Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset. EACL 2023: 2295-2311 - [c109]Pelin Çelikkol, Jochen Laubrock, David Schlangen:
TF-IDF based Scene-Object Relations Correlate With Visual Attention. ETRA 2023: 21:1-21:6 - [i27]David Schlangen:
What A Situated Language-Using Agent Must be Able to Do: A Top-Down Analysis. CoRR abs/2302.08590 (2023) - [i26]Brielen Madureira, David Schlangen:
Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset. CoRR abs/2302.14406 (2023) - [i25]David Schlangen:
Dialogue Games for Benchmarking Language Understanding: Motivation, Taxonomy, Strategy. CoRR abs/2304.07007 (2023) - [i24]Patrick Kahardipraja, Brielen Madureira, David Schlangen:
TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model. CoRR abs/2305.10845 (2023) - [i23]Philipp Sadler, Sherzod Hakimov, David Schlangen:
Yes, this Way! Learning to Ground Referring Expressions into Actions with Intra-episodic Feedback from Supportive Teachers. CoRR abs/2305.12880 (2023) - [i22]Kranti Chalamalasetti, Jana Götze, Sherzod Hakimov, Brielen Madureira, Philipp Sadler, David Schlangen:
clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents. CoRR abs/2305.13455 (2023) - [i21]Sherzod Hakimov, David Schlangen:
Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks. CoRR abs/2305.13782 (2023) - [i20]Philipp Sadler, David Schlangen:
Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from Examples. CoRR abs/2305.15087 (2023) - [i19]Brielen Madureira, David Schlangen:
"Are you telling me to put glasses on the dog?" Content-Grounded Annotation of Instruction Clarification Requests in the CoDraw Dataset. CoRR abs/2306.02377 (2023) - [i18]Brielen Madureira, Patrick Kahardipraja, David Schlangen:
The Road to Quality is Paved with Good Revisions: A Detailed Evaluation Methodology for Revision Policies in Incremental Sequence Labelling. CoRR abs/2307.15508 (2023) - [i17]Fabian Galetzka, Anne Beyer, David Schlangen:
Neural Conversation Models and How to Rein Them in: A Survey of Failures and Fixes. CoRR abs/2308.06095 (2023) - 2022
- [c108]Brielen Madureira, David Schlangen:
Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge. ACL (2) 2022: 651-664 - [c107]Sharid Loáiciga, Anne Beyer, David Schlangen:
New or Old? Exploring How Pre-Trained Language Models Represent Discourse Entities. COLING 2022: 875-886 - [c106]Jana Götze, Maike Paetzel-Prüsmann, Wencke Liermann, Tim Diekmann, David Schlangen:
The slurk Interaction Server Framework: Better Data for Better Dialog Models. LREC 2022: 4069-4078 - [i16]Jana Götze, Maike Paetzel-Prüsmann, Wencke Liermann, Tim Diekmann, David Schlangen:
The slurk Interaction Server Framework: Better Data for Better Dialog Models. CoRR abs/2202.01155 (2022) - [i15]Brielen Madureira, David Schlangen:
Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge. CoRR abs/2204.06970 (2022) - [i14]David Schlangen:
Norm Participation Grounds Language. CoRR abs/2206.02885 (2022) - 2021
- [c105]David Schlangen:
Targeting the Benchmark: On Methodology in Current Natural Language Processing Research. ACL/IJCNLP (2) 2021: 670-674 - [c104]Fabian Galetzka, Jewgeni Rose, David Schlangen, Jens Lehmann:
Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer. ACL/IJCNLP (1) 2021: 7028-7041 - [c103]Patrick Kahardipraja, Brielen Madureira, David Schlangen:
Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU. EMNLP (1) 2021: 1178-1189 - [c102]Anne Beyer, Sharid Loáiciga, David Schlangen:
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models. NAACL-HLT 2021: 4164-4173 - [i13]Anne Beyer, Sharid Loáiciga, David Schlangen:
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models. CoRR abs/2105.03495 (2021) - [i12]Patrick Kahardipraja, Brielen Madureira, David Schlangen:
Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU. CoRR abs/2109.07364 (2021) - 2020
- [c101]Brielen Madureira, David Schlangen:
Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU. EMNLP (1) 2020: 357-374 - [c100]Robin Rojowiec, Jana Götze, Philipp Sadler, Henrik Voigt, Sina Zarrieß, David Schlangen:
From "Before" to "After": Generating Natural Language Instructions from Image Pairs in a Simple Visual Domain. INLG 2020: 316-326 - [c99]Fabian Galetzka, Chukwuemeka Uchenna Eneh, David Schlangen:
A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Models. LREC 2020: 565-573 - [e2]Qun Liu, David Schlangen:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2020 - Demos, Online, November 16-20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-62-0 [contents] - [i11]Fabian Galetzka, Chukwuemeka Uchenna Eneh, David Schlangen:
A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Models. CoRR abs/2003.13342 (2020) - [i10]David Schlangen:
Targeting the Benchmark: On Methodology in Current Natural Language Processing Research. CoRR abs/2007.04792 (2020) - [i9]Brielen Madureira, David Schlangen:
An Overview of Natural Language State Representation for Reinforcement Learning. CoRR abs/2007.09774 (2020) - [i8]Brielen Madureira, David Schlangen:
Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU. CoRR abs/2010.05330 (2020)
2010 – 2019
- 2019
- [c98]Sina Zarrieß, David Schlangen:
Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories. ACL (1) 2019: 654-659 - [c97]Nikolai Ilinykh, Sina Zarrieß, David Schlangen:
Tell Me More: A Dataset of Visual Scene Description Sequences. INLG 2019: 152-157 - [c96]Philipp Sadler, Tatjana Scheffler, David Schlangen:
Can Neural Image Captioning be Controlled via Forced Attention? INLG 2019: 427-431 - [c95]David Schlangen:
Natural Language Semantics With Pictures: Some Language & Vision Datasets and Potential Uses for Computational Semantics. IWCS (1) 2019: 283-294 - [c94]Nazia Attari, Martin Heckmann, David Schlangen:
From Explainability to Explanation: Using a Dialogue Setting to Elicit Annotations with Justifications. SIGdial 2019: 331-335 - [i7]David Schlangen:
Natural Language Semantics With Pictures: Some Language & Vision Datasets and Potential Uses for Computational Semantics. CoRR abs/1904.07318 (2019) - [i6]Sina Zarrieß, David Schlangen:
Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories. CoRR abs/1906.05518 (2019) - [i5]Nikolai Ilinykh, Sina Zarrieß, David Schlangen:
MeetUp! A Corpus of Joint Activity Dialogues in a Visual Environment. CoRR abs/1907.05084 (2019) - [i4]David Schlangen:
Language Tasks and Language Games: On Methodology in Current Natural Language Processing Research. CoRR abs/1908.10747 (2019) - [i3]David Schlangen:
Grounded Agreement Games: Emphasizing Conversational Grounding in Visual Dialogue Settings. CoRR abs/1908.11279 (2019) - [i2]Philipp Sadler, Tatjana Scheffler, David Schlangen:
Can Neural Image Captioning be Controlled via Forced Attention? CoRR abs/1911.03936 (2019) - 2018
- [c93]Ting Han, Casey Kennington, David Schlangen:
Placing Objects in Gesture Space: Toward Incremental Interpretation of Multimodal Spatial Descriptions. AAAI 2018: 5157-5164 - [c92]Birte Carlmeyer, Simon Betz, Petra Wagner, Britta Wrede, David Schlangen:
The Hesitating Robot - Implementation and First Impressions. HRI (Companion) 2018: 77-78 - [c91]Nikolai Ilinykh, Sina Zarrieß, David Schlangen:
The Task Matters: Comparing Image Captioning and Task-Based Dialogical Image Description. INLG 2018: 397-402 - [c90]Sina Zarrieß, David Schlangen:
Decoding Strategies for Neural Referring Expression Generation. INLG 2018: 503-512 - [c89]Soledad López Gambino, Sina Zarrieß, David Schlangen:
Testing Strategies For Bridging Time-To-Content In Spoken Dialogue Systems. IWSDS 2018: 103-109 - [c88]Ting Han, David Schlangen:
A Corpus of Natural Multimodal Spatial Scene Descriptions. LREC 2018 - 2017
- [j9]Casey Kennington, David Schlangen:
A simple generative model of incremental reference resolution for situated dialogue. Comput. Speech Lang. 41: 43-67 (2017) - [c87]Sina Zarrieß, David Schlangen:
Obtaining referential word meanings from visual and distributional information: Experiments on object naming. ACL (1) 2017: 243-254 - [c86]Sina Zarrieß, David Schlangen:
Is this a Child, a Girl or a Car? Exploring the Contribution of Distributional Similarity to Learning Referential Word Meanings. EACL (2) 2017: 86-91 - [c85]Julian Hough, David Schlangen:
Joint, Incremental Disfluency Detection and Utterance Segmentation from Speech. EACL (1) 2017: 326-336 - [c84]Ting Han, David Schlangen:
Grounding Language by Continuous Observation of Instruction Following. EACL (2) 2017: 491-496 - [c83]Sina Zarrieß, David Schlangen:
Deriving continous grounded meaning representations from referentially structured multimodal contexts. EMNLP 2017: 959-965 - [c82]Julian Hough, David Schlangen:
It's Not What You Do, It's How You Do It: Grounding Uncertainty for a Simple Robot. HRI 2017: 274-282 - [c81]Casey Kennington, Ting Han, David Schlangen:
Temporal alignment using the incremental unit framework. ICMI 2017: 297-301 - [c80]Ting Han, Julian Hough, David Schlangen:
Natural Language Informs the Interpretation of Iconic Gestures: A Computational Approach. IJCNLP(2) 2017: 134-139 - [c79]Ting Han, David Schlangen:
Draw and Tell: Multimodal Descriptions Outperform Verbal- or Sketch-Only Descriptions in an Image Retrieval Task. IJCNLP(2) 2017: 361-365 - [c78]Sina Zarrieß, Soledad López Gambino, David Schlangen:
Refer-iTTS: A System for Referring in Spoken Installments to Objects in Real-World Images. INLG 2017: 72-73 - [c77]Angelika Maier, Julian Hough, David Schlangen:
Towards Deep End-of-Turn Prediction for Situated Spoken Dialogue Systems. INTERSPEECH 2017: 1676-1680 - [c76]Soledad López Gambino, Casey Kennington, David Schlangen:
Silence, Please! Interrupting In-Car Phone Conversations. WCIHAI@IVA 2017: 9-18 - [c75]Iwan de Kok, Felix Hülsmann, Thomas Waltemate, Cornelia Frank, Julian Hough, Thies Pfeiffer, David Schlangen, Thomas Schack, Mario Botsch, Stefan Kopp:
The Intelligent Coaching Space: A Demonstration. IVA 2017: 105-108 - [c74]Soledad López Gambino, Sina Zarrieß, David Schlangen:
Beyond On-hold Messages: Conversational Time-buying in Task-oriented Dialogue. SIGDIAL Conference 2017: 241-246 - 2016
- [j8]Sean Andrist, Dan Bohus, Bilge Mutlu, David Schlangen:
Turn-Taking and Coordination in Human-Machine Interaction. AI Mag. 37(4): 5-6 (2016) - [c73]David Schlangen, Sina Zarrieß, Casey Kennington:
Resolving References to Objects in Photographs using the Words-As-Classifiers Model. ACL (1) 2016 - [c72]Sina Zarrieß, David Schlangen:
Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs. ACL (1) 2016 - [c71]Viktor Richter, Birte Carlmeyer, Florian Lier, Sebastian Meyer zu Borgsen, David Schlangen, Franz Kummert, Sven Wachsmuth, Britta Wrede:
Are you talking to me?: Improving the Robustness of Dialogue Systems in a Multi Party HRI Scenario by Incorporating Gaze Direction and Lip Movement of Attendees. HAI 2016: 43-50 - [c70]Birte Carlmeyer, David Schlangen, Britta Wrede:
"Look at Me!": Self-Interruptions as Attention Booster? HAI 2016: 221-224 - [c69]Birte Carlmeyer, David Schlangen, Britta Wrede:
Exploring self-interruptions as a strategy for regaining the attention of distracted users. EISE@ICMI 2016: 4:1-4:6 - [c68]Iwan de Kok, Julian Hough, David Schlangen, Stefan Kopp:
Deictic gestures in coaching interactions. MA3HMI@ICMI 2016: 10-14 - [c67]Sina Zarrieß, David Schlangen:
Towards Generating Colour Terms for Referents in Photographs: Prefer the Expected or the Unexpected? INLG 2016: 246-255 - [c66]Timo Baumann, Casey Kennington, Julian Hough, David Schlangen:
Recognising Conversational Speech: What an Incremental ASR Should Do for a Dialogue System and How to Get There. IWSDS 2016: 421-432 - [c65]Patrick Holthaus, Christian Leichsenring, Jasmin Bernotat, Viktor Richter, Marian Pohling, Birte Carlmeyer, Norman Köster, Sebastian Meyer zu Borgsen, René Zorn, Birte Schiffhauer, Kai Frederic Engelmann, Florian Lier, Simon Schulz, Philipp Cimiano, Friederike Eyssel, Thomas Hermann, Franz Kummert, David Schlangen, Sven Wachsmuth, Petra Wagner, Britta Wrede, Sebastian Wrede:
How to Address Smart Homes with a Social Robot? A Multi-modal Corpus of User Interactions with an Intelligent Environment. LREC 2016 - [c64]Julian Hough, Ye Tian, Laura E. de Ruiter, Simon Betz, Spyros Kousidis, David Schlangen, Jonathan Ginzburg:
DUEL: A Multi-lingual Multimodal Dialogue Corpus for Disfluency, Exclamations and Laughter. LREC 2016 - [c63]Sina Zarrieß, Julian Hough, Casey Kennington, Ramesh R. Manuvinakurike, David DeVault, Raquel Fernández, David Schlangen:
PentoRef: A Corpus of Spoken References in Task-oriented Dialogues. LREC 2016 - [c62]Ramesh R. Manuvinakurike, Casey Kennington, David DeVault, David Schlangen:
Real-Time Understanding of Complex Discriminative Scene Descriptions. SIGDIAL Conference 2016: 232-241 - [c61]Casey Kennington, David Schlangen:
Supporting Spoken Assistant Systems with a Graphical User Interface that Signals Incremental Understanding and Prediction State. SIGDIAL Conference 2016: 242-251 - [c60]Ramesh R. Manuvinakurike, Maike Paetzel, Cheng Qu, David Schlangen, David DeVault:
Toward incremental dialogue act segmentation in fast-paced interactive dialogue systems. SIGDIAL Conference 2016: 252-262 - [c59]Julian Hough, David Schlangen:
Investigating Fluidity for Human-Robot Interaction with Real-time, Real-world Grounding Strategies. SIGDIAL Conference 2016: 288-298 - [c58]Jasmin Bernotat, Birte Schiffhauer, Friederike Eyssel, Patrick Holthaus, Christian Leichsenring, Viktor Richter, Marian Pohling, Birte Carlmeyer, Norman Köster, Sebastian Meyer zu Borgsen, René Zorn, Kai Frederic Engelmann, Florian Lier, Simon Schulz, Rebecca Bröhl, Elena Seibel, Paul Hellwig, Philipp Cimiano, Franz Kummert, David Schlangen, Petra Wagner, Thomas Hermann, Sven Wachsmuth, Britta Wrede, Sebastian Wrede:
Welcome to the Future - How Naïve Users Intuitively Address an Intelligent Robotics Apartment. ICSR 2016: 982-992 - 2015
- [c57]Spyros Kousidis, David Schlangen:
The Power of a Glance: Evaluating Embodiment and Turn-Tracking Strategies of an Active Robotic Overhearer. AAAI Spring Symposia 2015 - [c56]Casey Kennington, David Schlangen:
Simple Learning and Compositional Application of Perceptually Grounded Word Meanings for Incremental Reference Resolution. ACL (1) 2015: 292-301 - [c55]Sina Zarrieß, Sebastian Loth, David Schlangen:
Reading Times Predict the Quality of Generated Text Above and Beyond Human Ratings. ENLG 2015: 38-47 - [c54]Iwan de Kok, Julian Hough, Felix Hülsmann, Mario Botsch, David Schlangen, Stefan Kopp:
A Multimodal System for Real-Time Action Instruction in Motor Skill Learning. ICMI 2015: 355-362 - [c53]Julian Hough, David Schlangen:
Recurrent neural networks for incremental disfluency detection. INTERSPEECH 2015: 849-853 - [c52]Simon Betz, Petra Wagner, David Schlangen:
Micro-structure of disfluencies: basics for conversational speech synthesis. INTERSPEECH 2015: 2222-2226 - [c51]Casey Kennington, Livia Dia, David Schlangen:
A Discriminative Model for Perceptually-Grounded Incremental Reference Resolution. IWCS 2015: 195-205 - [c50]Julian Hough, Casey Kennington, David Schlangen, Jonathan Ginzburg:
Incremental Semantics for Dialogue Processing: Requirements, and a Comparison of Two Approaches. IWCS 2015: 206-216 - [c49]Casey Kennington, Ryu Iida, Takenobu Tokunaga, David Schlangen:
Incrementally Tracking Reference in Human/Human Dialogue Using Linguistic and Extra-Linguistic Information. HLT-NAACL 2015: 272-282 - [i1]David Schlangen, Sina Zarrieß, Casey Kennington:
Resolving References to Objects in Photographs using the Words-As-Classifiers Model. CoRR abs/1510.02125 (2015) - 2014
- [j7]Casey Kennington, David Schlangen:
Situated incremental natural language understanding using Markov Logic Networks. Comput. Speech Lang. 28(1): 240-255 (2014) - [c48]Casey Kennington, Spyros Kousidis, Timo Baumann, Hendrik Buschmeier, Stefan Kopp, David Schlangen:
Better Driving and Recall When In-car Information Presentation Uses Situationally-Aware Incremental Speech Output Generation. AutomotiveUI 2014: 7:1-7:7 - [c47]Casey Kennington, Spyros Kousidis, David Schlangen:
Situated Incremental Natural Language Understanding using a Multimodal, Linguistically-driven Update Model. COLING 2014: 1803-1812 - [c46]Spyros Kousidis, Casey Kennington, Timo Baumann, Hendrik Buschmeier, Stefan Kopp, David Schlangen:
Situationally Aware In-Car Information Presentation Using Incremental Speech Generation: Safer, and More Effective. DM@EACL 2014: 68-72 - [c45]Birte Carlmeyer, David Schlangen, Britta Wrede:
Towards Closed Feedback Loops in HRI: Integrating InproTK and PaMini. MMRWHRI@ICMI 2014: 1-6 - [c44]Spyros Kousidis, Casey Kennington, Timo Baumann, Hendrik Buschmeier, Stefan Kopp, David Schlangen:
A Multimodal In-Car Dialogue System That Tracks The Driver's Attention. ICMI 2014: 26-33 - [c43]Casey Kennington, Spyros Kousidis, David Schlangen:
InproTKs: A Toolkit for Incremental Situated Processing. SIGDIAL Conference 2014: 84-88 - 2013
- [c42]Jonathan Ginzburg, Raquel Fernández, David Schlangen:
Self-addressed questions in disfluencies. DiSS 2013: 33-36 - [c41]Spyros Kousidis, David Schlangen, Stavros Skopeteas:
A cross-linguistic study on turn-taking and temporal alignment in verbal interaction. INTERSPEECH 2013: 803-807 - [c40]Spyros Kousidis, Thies Pfeiffer, David Schlangen:
MINT.tools: tools and adaptors supporting acquisition, annotation and analysis of multimodal corpora. INTERSPEECH 2013: 2649-2653 - [c39]Casey Kennington, Spyros Kousidis, David Schlangen:
Interpreting Situated Dialogue Utterances: an Update Model that Uses Speech, Gaze, and Gesture Information. SIGDIAL Conference 2013: 173-182 - [c38]Timo Baumann, David Schlangen:
Open-ended, Extensible System Utterances Are Preferred, Even If They Require Filled Pauses. SIGDIAL Conference 2013: 280-283 - [c37]Spyros Kousidis, Casey Kennington, David Schlangen:
Investigating speaker gaze and pointing behaviour in human-computer interaction with the mint.tools collection. SIGDIAL Conference 2013: 319-323 - [c36]Timo Baumann, David Schlangen:
Interactional adequacy as a factor in the perception of synthesized speech. SSW 2013: 223-227 - 2012
- [c35]Timo Baumann, David Schlangen:
The INPROTK 2012 Release: A Toolkit for Incremental Spoken Dialogue Processing. ITG Conference on Speech Communication 2012: 1-4 - [c34]Timo Baumann, David Schlangen:
INPRO_iSS: A Component for Just-In-Time Incremental Speech Synthesis. ACL (System Demonstrations) 2012: 103-108 - [c33]Andreas Peldszus, Okko Buß, Timo Baumann, David Schlangen:
Joint Satisfaction of Syntactic and Pragmatic Constraints Improves Incremental Spoken Language Understanding. EACL 2012: 514-523 - [c32]Timo Baumann, David Schlangen:
Evaluating Prosodic Processing for Incremental Speech Synthesis. INTERSPEECH 2012: 438-441 - [c31]David Schlangen:
The Future of Spoken Dialogue Systems is in their Past: Long-Term Adaptive, Conversational Assistants. SDCTD@NAACL-HLT 2012: 11-12 - [c30]Timo Baumann, David Schlangen:
The InproTK 2012 release. SDCTD@NAACL-HLT 2012: 29-32 - [c29]Hendrik Buschmeier, Timo Baumann, Benjamin Dosch, Stefan Kopp, David Schlangen:
Combining Incremental Language Generation and Incremental Speech Synthesis for Adaptive Information Presentation. SIGDIAL Conference 2012: 295-303