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Markus Guhe

dblp:44/1084 · DBLP profile ↗
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6ranked-venue papers
2as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Language models and text generation · 77% Vision and language · 23%
Human-computer interaction and pervasive computing
1 paper
Human-AI interaction · 77% Human-robot interaction · 23%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-AI interaction › generative AI
natural language generation
0.112008
The roles of haptic-ostensive referring expressions in cooperative, task-based human-robot dialogue · HRI 2008
Human-robot interaction › robot communication
multimodal dialogue
0.012008
The roles of haptic-ostensive referring expressions in cooperative, task-based human-robot dialogue · HRI 2008

Methods — techniques the papers use, named apart from their topics

multimodal referring expression generation · 0.1
YearPublicationVenuePosition
2012 Trading in a multiplayer board game: Towards an analysis of non-cooperative dialogue
Markus Guhe, Alex Lascarides
CogSci1
2011 Generating Subsequent Reference in Shared Visual Scenes: Computation vs Re-Use
Jette Viethen, Robert Dale, Markus Guhe
EMNLP3
2010 Some Aspects of Analogical Reasoning in Mathematical Creativity
Alison Pease, Markus Guhe, Alan Smaill
ICCC2
2010 Dialogue Reference in a Visual Domain
Jette Viethen, Simon Zwarts, Robert Dale, Markus Guhe
LREC4
2008 The roles of haptic-ostensive referring expressions in cooperative, task-based human-robot dialogue
abstract
Generating referring expressions is a task that has received a great deal of attention in the natural-language generation community, with an increasing amount of recent effort targeted at the generation of multimodal referring expressions. However, most implemented systems tend to assume very little shared knowledge between the speaker and the hearer, and therefore must generate fully-elaborated linguistic references. Some systems do include a representation of the physical context or the dialogue context; however, other sources of contextual information are not normally used. Also, the generated references normally consist only of language and, possibly, deictic pointing gestures.
Mary Ellen Foster, Ellen Gurman Bard, Markus Guhe, Robin L. Hill, Jon Oberlander, Alois C. Knoll
HRI3
2000 Incremental Event Conceptualization and Natural Language Generation in Monitoring Enviroments
abstract
In this paper we present a psycholinguistically motivated architecture and its prototypical implementation for an incremental conceptualizer, which monitors dynamic changes in the world and simultaneously generates warnings for (possibly) safety-critical developments. It does so by conceptualizing events and building up a hierarchical knowledge representation of the perceived states of affairs. If it detects a safety problem, it selects suitable elements from the representation for a warning, brings them into an appropriate order, and generates incremental preverbal messages (propositional structures) from them, which can be taken by a subsequent component to encode them linguistically.
Markus Guhe, Christopher Habel, Heike Tappe
INLG1