David Schlangen

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Casey KenningtonBoise State UniversityVerified email at boisestate.edu
Timo BaumannOTH Regensburg, Universität HamburgVerified email at oth-regensburg.de
Julian HoughSwansea UniversityVerified email at swansea.ac.uk
Sina ZarrießProfessor for Computational Linguistics, Bielefeld UniversityVerified email at uni-bielefeld.de
spyros kousidisUniversity of Bielefeled, GermanyVerified email at uni-bielefeld.de
Raquel FernándezInstitute for Logic, Language and Computation, University of AmsterdamVerified email at uva.nl
Jonathan GinzburgProfessor of Linguistics, Université de ParisVerified email at u-paris.fr
Stefan KoppBielefeld University, CITECVerified email at techfak.uni-bielefeld.de
Okko BussComputational Linguist, Bielefeld University and Potsdam UniversityVerified email at uni-potsdam.de
Petra WagnerBielefeld UniversityVerified email at uni-bielefeld.de
Britta WredeMedical Assistance Systems, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Birte Richter (geb. Carlmeyer)Medizinische Assistenzsysteme - Medizinische Fakultät / CITEC - Bielefeld UniversityVerified email at uni-bielefeld.de
Gabriel SkantzeProfessor at KTH, PhD in Speech Communication and TechnologyVerified email at kth.se
Ting HanArtificial Intelligence Research Center, AISTVerified email at aist.go.jp
Simon BetzBielefeld UniversityVerified email at uni-bielefeld.de
Hendrik BuschmeierDigital Linguistics Lab, Bielefeld UniversityVerified email at uni-bielefeld.de
Alex LascaridesProfessor of Semantics, University of EdinburghVerified email at inf.ed.ac.uk
Nikolai IlinykhUniversity of GothenburgVerified email at gu.se
Iwan de KokCITEC, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Kepa J. RodriguezYad VashemVerified email at yadvashem.org.il

David Schlangen

Professor, "Foundations of Computational Linguistics", University of Potsdam

Verified email at uni-potsdam.de - Homepage

Computational Linguistics Artificial Intelligence Conversational Agents Dialogue Systems


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A general, abstract model of incremental dialogue processing D Schlangen, G Skantze Dialogue & Discourse 2 (1), 83-111, 2011	297	2011
Incremental dialogue processing in a micro-domain G Skantze, D Schlangen Proceedings of the 12th Conference of the European Chapter of the ACL (EACL …, 2009	168	2009
A coherence-based approach to the interpretation of non-sentential utterances in dialogue D Schlangen University of Edinburgh. College of Science and Engineering. School of …, 2003	113	2003
Form, intonation and function of clarification requests in german task-oriented spoken dialogues KJ Rodríguez, D Schlangen Proceedings of Catalog (the 8th workshop on the semantics and pragmatics of …, 2004	105	2004
Causes and strategies for requesting clarification in dialogue D Schlangen Proceedings of the 5th SIGdial Workshop on Discourse and Dialogue at HLT …, 2004	102	2004
From reaction to prediction: Experiments with computational models of turn-taking D Schlangen Proceedings of Interspeech 2006, Panel on Prosody of Dialogue Acts and Turn …, 2006	100	2006
Simple learning and compositional application of perceptually grounded word meanings for incremental reference resolution C Kennington, D Schlangen Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015	88	2015
INPRO_iSS: A component for just-in-time incremental speech synthesis T Baumann, D Schlangen Proceedings of the ACL 2012 System Demonstrations, 103-108, 2012	86	2012
Disfluencies as intra-utterance dialogue moves J Ginzburg, RM Fernández, S David Semantics and Pragmatics 7 (9), 64, 2014	85	2014
The INPROTK 2012 release T Baumann, D Schlangen NAACL-HLT Workshop on Future directions and needs in the Spoken Dialog …, 2012	80	2012
Incremental reference resolution: The task, metrics for evaluation, and a bayesian filtering model that is sensitive to disfluencies D Schlangen, T Baumann, M Atterer Proceedings of the SIGDIAL 2009 Conference, 30-37, 2009	75	2009
Assessing and improving the performance of speech recognition for incremental systems T Baumann, M Atterer, D Schlangen Proceedings of human language technologies: The 2009 annual conference of …, 2009	68	2009
Duel: A multi-lingual multimodal dialogue corpus for disfluency, exclamations and laughter J Hough, Y Tian, L De Ruiter, S Betz, S Kousidis, D Schlangen, ... Proceedings of the Tenth International Conference on Language Resources and …, 2016	58	2016
Combining incremental language generation and incremental speech synthesis for adaptive information presentation H Buschmeier, T Baumann, B Dosch, S Kopp, D Schlangen Proceedings of the 13th Annual Meeting of the Special Interest Group on …, 2012	58	2012
Recurrent neural networks for incremental disfluency detection J Hough, D Schlangen	57	2015
Resolving References to Objects in Photographs using the Words-As-Classifiers Model D Schlangen, S Zarrieß, C Kennington The 54th Annual Meeting of the Association for Computational Linguistics …, 2016	55	2016
Interpreting situated dialogue utterances: an update model that uses speech, gaze, and gesture information C Kennington, S Kousidis, D Schlangen Proceedings of the SIGDIAL 2013 Conference, 173-182, 2013	50	2013
Collaborating on utterances with a spoken dialogue system using an isu-based approach to incremental dialogue management O Buß, T Baumann, D Schlangen Proceedings of the SIGDIAL 2010 Conference, 233-236, 2010	46	2010
Recognising conversational speech: What an incremental asr should do for a dialogue system and how to get there T Baumann, C Kennington, J Hough, D Schlangen Dialogues with Social Robots: Enablements, Analyses, and Evaluation, 421-432, 2017	45	2017
Targeting the benchmark: On methodology in current natural language processing research D Schlangen arXiv preprint arXiv:2007.04792, 2020	44	2020

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