25 citations · 32 across the 5 of their papers we have counts for
9 papers
An Overview of Natural Language State Representation for Reinforcement Learning
Brielen Madureira, David Schlangen
A suitable state representation is a fundamental part of the learning process in Reinforcement Learning. In various tasks, the state can either be described by natural language or…
Targeting the Benchmark: On Methodology in Current Natural Language Processing Research
David Schlangen
It has become a common pattern in our field: One group introduces a language task, exemplified by a dataset, which they argue is challenging enough to serve as a benchmark. They al…
A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Models
Fabian Galetzka, Chukwuemeka U. Eneh, David Schlangen
Fully data driven Chatbots for non-goal oriented dialogues are known to suffer from inconsistent behaviour across their turns, stemming from a general difficulty in controlling par…
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…