research
∙
08/11/2023
Neural Conversation Models and How to Rein Them in: A Survey of Failures and Fixes
Recent conditional language models are able to continue any kind of text...
share
research
∙
07/28/2023
The Road to Quality is Paved with Good Revisions: A Detailed Evaluation Methodology for Revision Policies in Incremental Sequence Labelling
Incremental dialogue model components produce a sequence of output prefi...
research
∙
06/04/2023
"Are you telling me to put glasses on the dog?” Content-Grounded Annotation of Instruction Clarification Requests in the CoDraw Dataset
Instruction Clarification Requests are a mechanism to solve communicatio...
research
∙
05/24/2023
Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from Examples
NLP tasks are typically defined extensionally through datasets containin...
research
∙
05/22/2023
clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents
Recent work has proposed a methodology for the systematic evaluation of ...
research
∙
05/22/2023
Yes, this Way! Learning to Ground Referring Expressions into Actions with Intra-episodic Feedback from Supportive Teachers
The ability to pick up on language signals in an ongoing interaction is ...
research
∙
05/18/2023
TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model
Language is by its very nature incremental in how it is produced and pro...
research
∙
04/14/2023
Dialogue Games for Benchmarking Language Understanding: Motivation, Taxonomy, Strategy
How does one measure "ability to understand language"? If it is a person...
research
∙
02/28/2023
Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset
In visual instruction-following dialogue games, players can engage in re...
research
∙
02/16/2023
What A Situated Language-Using Agent Must be Able to Do: A Top-Down Analysis
Even in our increasingly text-intensive times, the primary site of langu...
research
∙
06/06/2022
Norm Participation Grounds Language
The striking recent advances in eliciting seemingly meaningful language ...
research
∙
04/14/2022
Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge
Cognitively plausible visual dialogue models should keep a mental scoreb...
research
∙
02/02/2022
The slurk Interaction Server Framework: Better Data for Better Dialog Models
This paper presents the slurk software, a lightweight interaction server...
research
∙
09/15/2021
Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU
Incremental processing allows interactive systems to respond based on pa...
research
∙
05/07/2021
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models
Coherent discourse is distinguished from a mere collection of utterances...
research
∙
10/11/2020
Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU
While humans process language incrementally, the best language encoders ...
research
∙
07/19/2020
An Overview of Natural Language State Representation for Reinforcement Learning
A suitable state representation is a fundamental part of the learning pr...
research
∙
07/07/2020
Targeting the Benchmark: On Methodology in Current Natural Language Processing Research
It has become a common pattern in our field: One group introduces a lang...
research
∙
03/30/2020
A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Models
Fully data driven Chatbots for non-goal oriented dialogues are known to ...
research
∙
11/10/2019
Can Neural Image Captioning be Controlled via Forced Attention?
Learned dynamic weighting of the conditioning signal (attention) has bee...
research
∙
08/29/2019
Grounded Agreement Games: Emphasizing Conversational Grounding in Visual Dialogue Settings
Where early work on dialogue in Computational Linguistics put much empha...
research
∙
08/28/2019
Language Tasks and Language Games: On Methodology in Current Natural Language Processing Research
"This paper introduces a new task and a new dataset", "we improve the st...
research
∙
07/11/2019
MeetUp! A Corpus of Joint Activity Dialogues in a Visual Environment
Building computer systems that can converse about their visual environme...
research
∙
06/13/2019
Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories
Zero-shot learning in Language & Vision is the task of correctly labelli...
research
∙
04/15/2019
Natural Language Semantics With Pictures: Some Language & Vision Datasets and Potential Uses for Computational Semantics
Propelling, and propelled by, the "deep learning revolution", recent yea...
research
∙
10/07/2015
