NLPExplorer

David Schlangen

Number of Papers:- 98

Number of Citations:- 257

First ACL Paper:- 2003

Latest ACL Paper:- 2024

Venues:-

NAACL

SIGDIAL

CRAC

CoNLL

COLING

EMNLP

LREC

ALVR

SCI-CHAT

IWCS

splurobonlp

ACL

EACL

ENLG

MMSR

IJCNLP

INLG

unimplicit

Co-Authors:-

Similar Authors:-

Evaluating Modular Dialogue System for Form Filling Using Large Language Models SCI-CHAT WS

Sherzod Hakimov | Yan Weiser | David Schlangen |

Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests unimplicit WS

Brielen Madureira | David Schlangen |

When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality ACL

Brielen Madureira | Patrick Kahardipraja | David Schlangen |

Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game splurobonlp WS

Philipp Sadler | Sherzod Hakimov | David Schlangen |

Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft F i n d i n g s - E M N L P

Kranti Ch | Sherzod Hakimov | David Schlangen |

Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset EACL

Brielen Madureira | David Schlangen |

Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from Examples EACL

Philipp Sadler | David Schlangen |

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue SIGDIAL

The Road to Quality is Paved with Good Revisions: A Detailed Evaluation Methodology for Revision Policies in Incremental Sequence Labelling SIGDIAL

Brielen Madureira | Patrick Kahardipraja | David Schlangen |

Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing CoNLL

Brielen Madureira | Pelin Çelikkol | David Schlangen |

Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks F i n d i n g s - A C L

Sherzod Hakimov | David Schlangen |

On General Language Understanding F i n d i n g s - E M N L P

David Schlangen |

clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents EMNLP

TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model F i n d i n g s - A C L

Patrick Kahardipraja | Brielen Madureira | David Schlangen |

Yes, this Way! Learning to Ground Referring Expressions into Actions with Intra-episodic Feedback from Supportive Teachers F i n d i n g s - A C L

Philipp Sadler | Sherzod Hakimov | David Schlangen |

Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge ACL

Brielen Madureira | David Schlangen |

The slurk Interaction Server Framework: Better Data for Better Dialog Models LREC

New or Old? Exploring How Pre-Trained Language Models Represent Discourse Entities COLING

Sharid Loáiciga | Anne Beyer | David Schlangen |

Anaphoric Phenomena in Situated dialog: A First Round of Annotations COLING CRAC WS

Sharid Loáiciga | Simon Dobnik | David Schlangen |

Generating Landmark-based Manipulation Instructions from Image Pairs INLG

Sina Zarrieß | Henrik Voigt | David Schlangen | Philipp Sadler |

Generating Coherent and Informative Descriptions for Groups of Visual Objects and Categories: A Simple Decoding Approach INLG

Reference and coreference in situated dialogue ALVR NAACL

Sharid Loáiciga | Simon Dobnik | David Schlangen |

Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models NAACL

Anne Beyer | Sharid Loáiciga | David Schlangen |

Annotating anaphoric phenomena in situated dialogue IWCS MMSR

Sharid Loáiciga | Simon Dobnik | David Schlangen |

Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer ACL IJCNLP

Fabian Galetzka | Jewgeni Rose | David Schlangen | Jens Lehmann |

Targeting the Benchmark: On Methodology in Current Natural Language Processing Research ACL IJCNLP

David Schlangen |

Incremental Unit Networks for Multimodal, Fine-grained Information State Representation IWCS MMSR

Casey Kennington | David Schlangen |

Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU EMNLP

Patrick Kahardipraja | Brielen Madureira | David Schlangen |

evision PDF of 'From “Before” to “After”: Generating Natural Language Instructions from Image Pairs in a Simple Visual Domain INLG

Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU EMNLP

Brielen Madureira | David Schlangen |

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations EMNLP

Qun Liu | David Schlangen |

A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Models LREC

Fabian Galetzka | Chukwuemeka Uchenna Eneh | David Schlangen |

Know What You Don’t Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories ACL

Sina Zarrieß | David Schlangen |

Natural Language Semantics With Pictures: Some Language & Vision Datasets and Potential Uses for Computational Semantics IWCS WS

David Schlangen |

From Explainability to Explanation: Using a Dialogue Setting to Elicit Annotations with Justifications WS

Nazia Attari | Martin Heckmann | David Schlangen |

Can Neural Image Captioning be Controlled via Forced Attention? INLG WS

Philipp Sadler | Tatjana Scheffler | David Schlangen |

Tell Me More: A Dataset of Visual Scene Description Sequences INLG WS

Nikolai Ilinykh | Sina Zarrieß | David Schlangen |

A Corpus of Natural Multimodal Spatial Scene Descriptions LREC

Ting Han | David Schlangen |

The Task Matters: Comparing Image Captioning and Task-Based Dialogical Image Description INLG WS

Nikolai Ilinykh | Sina Zarrieß | David Schlangen |

Decoding Strategies for Neural Referring Expression Generation INLG WS

Sina Zarrieß | David Schlangen |

Being data-driven is not enough: Revisiting interactive instruction giving as a challenge for NLG INLG WS

Sina Zarrieß | David Schlangen |

Deriving continous grounded meaning representations from referentially structured multimodal contexts EMNLP

Sina Zarrieß | David Schlangen |

Joint, Incremental Disfluency Detection and Utterance Segmentation from Speech EACL

Julian Hough | David Schlangen |

Is this a Child, a Girl or a Car? Exploring the Contribution of Distributional Similarity to Learning Referential Word Meanings EACL

Sina Zarrieß | David Schlangen |

Grounding Language by Continuous Observation of Instruction Following EACL

Ting Han | David Schlangen |

Natural Language Informs the Interpretation of Iconic Gestures: A Computational Approach IJCNLP

Ting Han | Julian Hough | David Schlangen |

Draw and Tell: Multimodal Descriptions Outperform Verbal- or Sketch-Only Descriptions in an Image Retrieval Task IJCNLP

Ting Han | David Schlangen |

Obtaining referential word meanings from visual and distributional information: Experiments on object naming ACL

Sina Zarrieß | David Schlangen |

Refer-iTTS: A System for Referring in Spoken Installments to Objects in Real-World Images INLG WS

Sina Zarrieß | M. Soledad López Gambino | David Schlangen |

Beyond On-hold Messages: Conversational Time-buying in Task-oriented Dialogue SIGDIAL WS

Soledad López Gambino | Sina Zarrieß | David Schlangen |

PentoRef: A Corpus of Spoken References in Task-oriented Dialogues LREC

DUEL: A Multi-lingual Multimodal Dialogue Corpus for Disfluency, Exclamations and Laughter LREC

How to Address Smart Homes with a Social Robot? A Multi-modal Corpus of User Interactions with an Intelligent Environment LREC

Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs ACL

Sina Zarrieß | David Schlangen |

Resolving References to Objects in Photographs using the Words-As-Classifiers Model ACL

David Schlangen | Sina Zarrieß | Casey Kennington |

Real-Time Understanding of Complex Discriminative Scene Descriptions SIGDIAL WS

Ramesh Manuvinakurike | Casey Kennington | David DeVault | David Schlangen |

Supporting Spoken Assistant Systems with a Graphical User Interface that Signals Incremental Understanding and Prediction State SIGDIAL WS

Casey Kennington | David Schlangen |

Toward incremental dialogue act segmentation in fast-paced interactive dialogue systems SIGDIAL WS

Investigating Fluidity for Human-Robot Interaction with Real-time, Real-world Grounding Strategies SIGDIAL WS

Julian Hough | David Schlangen |

Towards Generating Colour Terms for Referents in Photographs: Prefer the Expected or the Unexpected? INLG WS

Sina Zarrieß | David Schlangen |

Incrementally Tracking Reference in Human/Human Dialogue Using Linguistic and Extra-Linguistic Information NAACL

Casey Kennington | Ryu Iida | Takenobu Tokunaga | David Schlangen |

Simple Learning and Compositional Application of Perceptually Grounded Word Meanings for Incremental Reference Resolution ACL IJCNLP

Casey Kennington | David Schlangen |

Investigating speaker gaze and pointing behaviour in human-computer interaction with the mint.tools collection SIGDIAL WS

Spyros Kousidis | Casey Kennington | David Schlangen |

Joint Satisfaction of Syntactic and Pragmatic Constraints Improves Incremental Spoken Language Understanding EACL

Andreas Peldszus | Okko Buß | Timo Baumann | David Schlangen |

INPRO_iSS: A Component for Just-In-Time Incremental Speech Synthesis ACL

Timo Baumann | David Schlangen |

Combining Incremental Language Generation and Incremental Speech Synthesis for Adaptive Information Presentation SIGDIAL WS

Predicting the Micro-Timing of User Input for an Incremental Spoken Dialogue System that Completes a User’s Ongoing Turn SIGDIAL WS

Timo Baumann | David Schlangen |

Comparing Local and Sequential Models for Statistical Incremental Natural Language Understanding SIGDIAL WS

Silvan Heintze | Timo Baumann | David Schlangen |

Middleware for Incremental Processing in Conversational Agents SIGDIAL WS

Collaborating on Utterances with a Spoken Dialogue System Using an ISU-based Approach to Incremental Dialogue Management SIGDIAL WS

Okko Buß | Timo Baumann | David Schlangen |

Incremental Reference Resolution: The Task, Metrics for Evaluation, and a Bayesian Filtering Model that is Sensitive to Disfluencies SIGDIAL WS

David Schlangen | Timo Baumann | Michaela Atterer |

Towards Finding and Fixing Fragments—Using ML to Identify Non-Sentential Utterances and their Antecedents in Multi-Party Dialogue ACL

David Schlangen |