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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
- 2024
[c125]Brielen Madureira, Patrick Kahardipraja, David Schlangen:
When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality. ACL (1) 2024: 4722-4749- [c124]Julian Hough, Sina Zarrieß, Casey Kennington, David Schlangen, Massimo Poesio:
Conceptual Pacts for Reference Resolution Using Small, Dynamically Constructed Language Models: A Study in Puzzle Building Dialogues. LREC/COLING 2024: 3689-3699 - [c123]Philipp Sadler, Sherzod Hakimov, David Schlangen:
Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies. LREC/COLING 2024: 14770-14783 - [c122]Kranti Chalamalasetti, Sherzod Hakimov, David Schlangen:
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft. EMNLP (Findings) 2024: 11159-11170 - [c121]Luka Borec, Philipp Sadler, David Schlangen:
The Unreasonable Ineffectiveness of Nucleus Sampling on Mitigating Text Memorization. INLG 2024: 358-370 - [c120]Brielen Madureira, David Schlangen:
It Couldn't Help but Overhear: On the Limits of Modelling Meta-Communicative Grounding Acts with Supervised Learning. SIGDIAL 2024: 149-158 - [c119]Isidora Jeknic, David Schlangen, Alexander Koller:
A Dialogue Game for Eliciting Balanced Collaboration. SIGDIAL 2024: 477-489 - [i43]Brielen Madureira, David Schlangen:
Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests. CoRR abs/2401.17039 (2024) - [i42]Philipp Sadler, Sherzod Hakimov, David Schlangen:
Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game. CoRR abs/2402.04824 (2024) - [i41]Brielen Madureira
, Patrick Kahardipraja, David Schlangen:
When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality. CoRR abs/2402.13113 (2024) - [i40]Philipp Sadler, Sherzod Hakimov, David Schlangen:
Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies. CoRR abs/2403.17497 (2024) - [i39]Brielen Madureira, David Schlangen:
It Couldn't Help But Overhear: On the Limits of Modelling Meta-Communicative Grounding Acts with Supervised Learning. CoRR abs/2405.01139 (2024) - [i38]Anne Beyer, Kranti Chalamalasetti, Sherzod Hakimov, Brielen Madureira, Philipp Sadler, David Schlangen:
clembench-2024: A Challenging, Dynamic, Complementary, Multilingual Benchmark and Underlying Flexible Framework for LLMs as Multi-Action Agents. CoRR abs/2405.20859 (2024) - [i37]Isidora Jeknic, David Schlangen, Alexander Koller:
A Dialogue Game for Eliciting Balanced Collaboration. CoRR abs/2406.08202 (2024) - [i36]Sherzod Hakimov, Yerkezhan Abdullayeva, Kushal Koshti, Antonia Schmidt, Yan Weiser, Anne Beyer, David Schlangen:
Two Giraffes in a Dirt Field: Using Game Play to Investigate Situation Modelling in Large Multimodal Models. CoRR abs/2406.14035 (2024) - [i35]Nidhir Bhavsar, Jonathan Jordan, Sherzod Hakimov, David Schlangen:
How Many Parameters Does it Take to Change a Light Bulb? Evaluating Performance in Self-Play of Conversational Games as a Function of Model Characteristics. CoRR abs/2406.14051 (2024) - [i34]Chalamalasetti Kranti, Sherzod Hakimov, David Schlangen:
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft. CoRR abs/2406.17553 (2024) - [i33]Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, Desmond Elliott, Raquel Fernández, Albert Gatt, Esam Ghaleb, Mario Giulianelli, Michael Hanna, Alexander Koller, André F. T. Martins, Philipp Mondorf, Vera Neplenbroek, Sandro Pezzelle, Barbara Plank, David Schlangen, Alessandro Suglia, Aditya K. Surikuchi, Ece Takmaz, Alberto Testoni:
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks. CoRR abs/2406.18403 (2024) - [i32]David Schlangen:
LLMs as Function Approximators: Terminology, Taxonomy, and Questions for Evaluation. CoRR abs/2407.13744 (2024) - [i31]Luka Borec, Philipp Sadler, David Schlangen:
The Unreasonable Ineffectiveness of Nucleus Sampling on Mitigating Text Memorization. CoRR abs/2408.16345 (2024) - [i30]Chalamalasetti Kranti, Sherzod Hakimov, David Schlangen:
Towards No-Code Programming of Cobots: Experiments with Code Synthesis by Large Code Models for Conversational Programming. CoRR abs/2409.11041 (2024) - 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, Nicholas 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) - [c118]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 - [c117]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 - [c116]Sherzod Hakimov, David Schlangen:
Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks. ACL (Findings) 2023: 14196-14210 - [c115]Brielen Madureira, Pelin Çelikkol, David Schlangen:
Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing. CoNLL 2023: 335-351 - [c114]Philipp Sadler, David Schlangen:
Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from Examples. EACL 2023: 2098-2114 - [c113]Brielen Madureira, David Schlangen:
Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset. EACL 2023: 2295-2311 - [c112]David Schlangen:
On General Language Understanding. EMNLP (Findings) 2023: 8818-8825 - [c111]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. EMNLP 2023: 11174-11219 - [c110]Pelin Çelikkol, Jochen Laubrock, David Schlangen:
TF-IDF based Scene-Object Relations Correlate With Visual Attention. ETRA 2023: 21:1-21:6 - [c109]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. SIGDIAL 2023: 156-167 - [e3]David Schlangen, Svetlana Stoyanchev, Shafiq Joty, Ondrej Dusek, Casey Kennington, Malihe Alikhani:
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2023, Prague, Czechia, September 11 - 15, 2023. Association for Computational Linguistics 2023, ISBN 979-8-89176-028-8 [contents] - [i29]David Schlangen:
What A Situated Language-Using Agent Must be Able to Do: A Top-Down Analysis. CoRR abs/2302.08590 (2023) - [i28]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) - [i27]David Schlangen:
Dialogue Games for Benchmarking Language Understanding: Motivation, Taxonomy, Strategy. CoRR abs/2304.07007 (2023) - [i26]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) - [i25]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) - [i24]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) - [i23]Sherzod Hakimov, David Schlangen:
Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks. CoRR abs/2305.13782 (2023) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]David Schlangen:
On General Language Understanding. CoRR abs/2310.18038 (2023) - [i17]Brielen Madureira, Pelin Çelikkol, David Schlangen:
Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing. CoRR abs/2310.18229 (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 - [c28]Casey Kennington, David Schlangen:
Markov Logic Networks for Situated Incremental Natural Language Understanding. SIGDIAL Conference 2012: 314-323 - 2011
- [j6]Hannes Rieser, David Schlangen:
Introduction to the Special Issue. Dialogue Discourse 2(1): 1-10 (2011) - [j5]David Schlangen, Gabriel Skantze:
A General, Abstract Model of Incremental Dialogue Processing. Dialogue Discourse 2(1): 83-111 (2011) - [j4]Timo Baumann, Okko Buß, David Schlangen:
Evaluation and Optimisation of Incremental Processors. Dialogue Discourse 2(1): 113-141 (2011) - [c27]Jonathan Ginzburg, Raquel Fernández, David Schlangen:
On the Semantics and Pragmatics of Dysfluency. Amsterdam Colloquium on Logic, Language and Meaning 2011: 321-330 - [c26]Timo Baumann, David Schlangen:
Predicting the Micro-Timing of User Input for an Incremental Spoken Dialogue System that Completes a User's Ongoing Turn. SIGDIAL Conference 2011: 120-129 - 2010
- [c25]Timo Baumann, Okko Buß, David Schlangen:
InproTK in Action: Open-Source Software for Building German-Speaking Incremental Spoken Dialogue Systems. ESSV 2010: 204-211 - [c24]Silvan Heintze, Timo Baumann, David Schlangen:
Comparing Local and Sequential Models for Statistical Incremental Natural Language Understanding. SIGDIAL Conference 2010: 9-16 - [c23]David Schlangen, Timo Baumann, Hendrik Buschmeier, Okko Buß, Stefan Kopp, Gabriel Skantze, Ramin Yaghoubzadeh:
Middleware for Incremental Processing in Conversational Agents. SIGDIAL Conference 2010: 51-54 - [c22]Okko Buß, Timo Baumann, David Schlangen:
Collaborating on Utterances with a Spoken Dialogue System Using an ISU-based Approach to Incremental Dialogue Management. SIGDIAL Conference 2010: 233-236
2000 – 2009
- 2009
- [c21]David Schlangen, Gabriel Skantze:
A General, Abstract Model of Incremental Dialogue Processing. EACL 2009: 710-718 - [c20]Gabriel Skantze, David Schlangen:
Incremental Dialogue Processing in a Micro-Domain. EACL 2009: 745-753 - [c19]Timo Baumann, Okko Buß, Michaela Atterer, David Schlangen:
Evaluating the potential utility of ASR n-best lists for incremental spoken dialogue systems. INTERSPEECH 2009: 1031-1034 - [c18]Michaela Atterer, Timo Baumann, David Schlangen:
No sooner said than done? testing incrementality of semantic interpretations of spontaneous speech. INTERSPEECH 2009: 1855-1858 - [c17]Timo Baumann, Michaela Atterer, David Schlangen:
Assessing and Improving the Performance of Speech Recognition for Incremental Systems. HLT-NAACL 2009: 380-388 - [c16]David Schlangen, Timo Baumann, Michaela Atterer:
Incremental Reference Resolution: The Task, Metrics for Evaluation, and a Bayesian Filtering Model that is Sensitive to Disfluencies. SIGDIAL Conference 2009: 30-37 - [c15]Titus von der Malsburg, Timo Baumann, David Schlangen:
TELIDA: A Package for Manipulation and Visualization of Timed Linguistic Data. SIGDIAL Conference 2009: 302-305 - 2008
- [c14]Michaela Atterer, Timo Baumann, David Schlangen:
Towards Incremental End-of-Utterance Detection in Dialogue Systems. COLING (Posters) 2008: 11-14 - [c13]Alexander Siebert, David Schlangen:
A Simple Method for Resolution of Definite Reference in a Shared Visual Context. SIGDIAL Workshop 2008: 84-87 - [e1]David Schlangen, Beth Ann Hockey:
Proceedings of the SIGDIAL 2008 Workshop, The 9th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 19-20 June 2008, Ohio State University, Columbus, Ohio, USA. The Association for Computer Linguistics 2008, ISBN 978-1-932432-17-6 [contents] - 2007
- [j3]Elena Simperl, David Schlangen:
Creating Ontologies for Content Representation - The OntoSeed Suite. J. Data Semant. 9: 141-166 (2007) - [c12]David Schlangen, Raquel Fernández:
Speaking through a noisy channel - experiments on inducing clarification behaviour in human-human dialogue. INTERSPEECH 2007: 1266-1269 - [c11]Alexander Siebert, David Schlangen, Raquel Fernández:
An Implemented Method for Distributed Collection and Assessment of Speech Data. SIGdial 2007: 47-50 - [c10]David Schlangen, Raquel Fernández:
Beyond Repair - Testing the Limits of the Conversational Repair System. SIGdial 2007: 51-54 - [c9]Raquel Fernández, Tatjana Lucht, David Schlangen:
Referring under Restricted Interactivity Conditions. SIGdial 2007: 136-139 - 2006
- [c8]David Schlangen:
From reaction to prediction: experiments with computational models of turn-taking. INTERSPEECH 2006 - [c7]Raquel Fernández, Tatjana Lucht, Kepa Joseba Rodríguez, David Schlangen:
Interaction in Task-Oriented Human-Human Dialogue: the Effects of Different turn-Taking Policies. SLT 2006: 206-209 - 2005
- [j2]David Schlangen:
Modelling dialogue: Challenges and Aproaches. Künstliche Intell. 19(3): 23- (2005) - [c6]David Schlangen:
Towards Finding and Fixing Fragments-Using ML to Identify Non-Sentential Utterances and their Antecedents in Multi-Party Dialogue. ACL 2005: 247-254 - [c5]Elena Paslaru Bontas, David Schlangen, Sonja Niepage:
Ontology Engineering for the Semantic Annotation of Medical Data. DEXA Workshops 2005: 567-571 - [c4]Elena Paslaru Bontas, David Schlangen, Thomas Schrader:
Creating Ontologies for Content Representation-The OntoSeed Suite. OTM Conferences (2) 2005: 1296-1313 - 2004
- [j1]Kepa Joseba Rodríguez, David Schlangen:
Forma, entonación y función de solicitudes de clarificación en diálogos instruccionales en alemán. Proces. del Leng. Natural 33 (2004) - [c3]David Schlangen, Manfred Stede, Elena Paslaru Bontas:
Feeding OWL: Extracting and Representing the Content of Pathology Reports. NLPXML@ACL 2004 - [c2]David Schlangen:
Causes and Strategies for Requesting Clarification in Dialogue. SIGDIAL Workshop 2004: 136-143 - 2003
- [c1]David Schlangen, Alex Lascarides:
The interpretation of non-sentential utterances in dialogue. SIGDIAL Workshop 2003: 62-71
Coauthor Index
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