25 citations · 73 across the 24 of their papers we have counts for
6 papers · 1 filter
Can Neural Image Captioning be Controlled via Forced Attention?
Philipp Sadler, Tatjana Scheffler, David Schlangen
Learned dynamic weighting of the conditioning signal (attention) has been shown to improve neural language generation in a variety of settings. The weights applied when generating…
Grounded Agreement Games: Emphasizing Conversational Grounding in Visual Dialogue Settings
David Schlangen
Where early work on dialogue in Computational Linguistics put much emphasis on dialogue structure and its relation to the mental states of the dialogue participants (e.g., Allen 19…
Language Tasks and Language Games: On Methodology in Current Natural Language Processing Research
David Schlangen
"This paper introduces a new task and a new dataset", "we improve the state of the art in X by Y" -- it is rare to find a current natural language processing paper (or AI paper mor…
MeetUp! A Corpus of Joint Activity Dialogues in a Visual Environment
Nikolai Ilinykh, Sina Zarrieß, David Schlangen
Building computer systems that can converse about their visual environment is one of the oldest concerns of research in Artificial Intelligence and Computational Linguistics (see,…
Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories
Sina Zarrieß, David Schlangen
Zero-shot learning in Language & Vision is the task of correctly labelling (or naming) objects of novel categories. Another strand of work in L&V aims at pragmatically informative…
Natural Language Semantics With Pictures: Some Language & Vision Datasets and Potential Uses for Computational Semantics
David Schlangen
Propelling, and propelled by, the "deep learning revolution", recent years have seen the introduction of ever larger corpora of images annotated with natural language expressions.…