Hendrik Buschmeier


Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning
Sina Zarrieß | Hendrik Buschmeier | Ting Han | Simeon Schüz
Proceedings of the 14th International Conference on Natural Language Generation

Recent work has adopted models of pragmatic reasoning for the generation of informative language in, e.g., image captioning. We propose a simple but highly effective relaxation of fully rational decoding, based on an existing incremental and character-level approach to pragmatically informative neural image captioning. We implement a mixed, ‘fast’ and ‘slow’, speaker that applies pragmatic reasoning occasionally (only word-initially), while unrolling the language model. In our evaluation, we find that increased informativeness through pragmatic decoding generally lowers quality and, somewhat counter-intuitively, increases repetitiveness in captions. Our mixed speaker, however, achieves a good balance between quality and informativeness.


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Proceedings of the Workshop on NLG for Human–Robot Interaction
Mary Ellen Foster | Hendrik Buschmeier | Dimitra Gkatzia
Proceedings of the Workshop on NLG for Human–Robot Interaction


Situationally Aware In-Car Information Presentation Using Incremental Speech Generation: Safer, and More Effective
Spyros Kousidis | Casey Kennington | Timo Baumann | Hendrik Buschmeier | Stefan Kopp | David Schlangen
Proceedings of the EACL 2014 Workshop on Dialogue in Motion

ALICO: a multimodal corpus for the study of active listening
Hendrik Buschmeier | Zofia Malisz | Joanna Skubisz | Marcin Wlodarczak | Ipke Wachsmuth | Stefan Kopp | Petra Wagner
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

The Active Listening Corpus (ALICO) is a multimodal database of spontaneous dyadic conversations with diverse speech and gestural annotations of both dialogue partners. The annotations consist of short feedback expression transcription with corresponding communicative function interpretation as well as segmentation of interpausal units, words, rhythmic prominence intervals and vowel-to-vowel intervals. Additionally, ALICO contains head gesture annotation of both interlocutors. The corpus contributes to research on spontaneous human--human interaction, on functional relations between modalities, and timing variability in dialogue. It also provides data that differentiates between distracted and attentive listeners. We describe the main characteristics of the corpus and present the most important results obtained from analyses in recent years.


Referring in Installments: A Corpus Study of Spoken Object References in an Interactive Virtual Environment
Kristina Striegnitz | Hendrik Buschmeier | Stefan Kopp
INLG 2012 Proceedings of the Seventh International Natural Language Generation Conference

Combining Incremental Language Generation and Incremental Speech Synthesis for Adaptive Information Presentation
Hendrik Buschmeier | Timo Baumann | Benjamin Dosch | Stefan Kopp | David Schlangen
Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue


Middleware for Incremental Processing in Conversational Agents
David Schlangen | Timo Baumann | Hendrik Buschmeier | Okko Buß | Stefan Kopp | Gabriel Skantze | Ramin Yaghoubzadeh
Proceedings of the SIGDIAL 2010 Conference


An Alignment-Capable Microplanner for Natural Language Generation
Hendrik Buschmeier | Kirsten Bergmann | Stefan Kopp
Proceedings of the 12th European Workshop on Natural Language Generation (ENLG 2009)