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08/29/2023
FurChat: An Embodied Conversational Agent using LLMs, Combining Open and Closed-Domain Dialogue with Facial Expressions
We demonstrate an embodied conversational agent that can function as a r...
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07/01/2023
Understanding Counterspeech for Online Harm Mitigation
Counterspeech offers direct rebuttals to hateful speech by challenging p...
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05/25/2023
The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question Answering
Large language models are known to produce output which sounds fluent an...
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05/10/2023
iLab at SemEval-2023 Task 11 Le-Wi-Di: Modelling Disagreement or Modelling Perspectives?
There are two competing approaches for modelling annotator disagreement:...
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05/06/2023
ANTONIO: Towards a Systematic Method of Generating NLP Benchmarks for Verification
Verification of machine learning models used in Natural Language Process...
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04/28/2023
SemEval-2023 Task 11: Learning With Disagreements (LeWiDi)
NLP datasets annotated with human judgments are rife with disagreements ...
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04/28/2023
Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment
Automated image captioning has the potential to be a useful tool for peo...
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01/25/2023
Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement
We commonly use agreement measures to assess the utility of judgements m...
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10/02/2022
Risk-graded Safety for Handling Medical Queries in Conversational AI
Conversational AI systems can engage in unsafe behaviour when handling u...
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09/30/2022
Task Formulation Matters When Learning Continually: A Case Study in Visual Question Answering
Continual learning aims to train a model incrementally on a sequence of ...
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07/06/2022
Adversarial Robustness of Visual Dialog
Adversarial robustness evaluates the worst-case performance scenario of ...
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06/21/2022
Why Robust Natural Language Understanding is a Challenge
With the proliferation of Deep Machine Learning into real-life applicati...
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03/18/2022
Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges
This is a report on the NSF Future Directions Workshop on Automatic Eval...
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09/22/2021
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization
One of the most challenging aspects of current single-document news summ...
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09/20/2021
ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI
We present the first English corpus study on abusive language towards th...
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07/07/2021
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling
Over the last several years, end-to-end neural conversational agents hav...
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06/10/2021
AGGGEN: Ordering and Aggregating while Generating
We present AGGGEN (pronounced 'again'), a data-to-text model which re-in...
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06/04/2021
Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants
Technology companies have produced varied responses to concerns about th...
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05/28/2021
OTTers: One-turn Topic Transitions for Open-Domain Dialogue
Mixed initiative in open-domain dialogue requires a system to pro-active...
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11/26/2020
SLURP: A Spoken Language Understanding Resource Package
Spoken Language Understanding infers semantic meaning directly from audi...
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05/08/2020
History for Visual Dialog: Do we really need it?
Visual Dialog involves "understanding" the dialog history (what has been...
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11/10/2019
Semantic Noise Matters for Neural Natural Language Generation
Neural natural language generation (NNLG) systems are known for their pa...
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10/10/2019
Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking)
We present a recurrent neural network based system for automatic quality...
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09/10/2019
A Crowd-based Evaluation of Abuse Response Strategies in Conversational Agents
How should conversational agents respond to verbal abuse through the use...
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09/06/2019
User Evaluation of a Multi-dimensional Statistical Dialogue System
We present the first complete spoken dialogue system driven by a multi-d...
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03/13/2019
Benchmarking Natural Language Understanding Services for building Conversational Agents
We have recently seen the emergence of several publicly available Natura...
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01/23/2019
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge
This paper provides a detailed summary of the first shared task on End-t...
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10/20/2018
Improving Context Modelling in Multimodal Dialogue Generation
In this work, we investigate the task of textual response generation in ...
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10/20/2018
A Knowledge-Grounded Multimodal Search-Based Conversational Agent
Multimodal search-based dialogue is a challenging new task: It extends v...
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10/02/2018
Findings of the E2E NLG Challenge
This paper summarises the experimental setup and results of the first sh...
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09/18/2018
Better Conversations by Modeling,Filtering,and Optimizing for Coherence and Diversity
We present three enhancements to existing encoder-decoder models for ope...
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03/31/2018
Towards Learning Transferable Conversational Skills using Multi-dimensional Dialogue Modelling
Recent statistical approaches have improved the robustness and scalabili...
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03/15/2018
RankME: Reliable Human Ratings for Natural Language Generation
Human evaluation for natural language generation (NLG) often suffers fro...
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12/20/2017
An Ensemble Model with Ranking for Social Dialogue
Open-domain social dialogue is one of the long-standing goals of Artific...
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09/13/2017
A Review of Evaluation Techniques for Social Dialogue Systems
In contrast with goal-oriented dialogue, social dialogue has no clear me...
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08/05/2017
Referenceless Quality Estimation for Natural Language Generation
Traditional automatic evaluation measures for natural language generatio...
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07/21/2017
Why We Need New Evaluation Metrics for NLG
The majority of NLG evaluation relies on automatic metrics, such as BLEU...
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06/28/2017
Data-driven Natural Language Generation: Paving the Road to Success
We argue that there are currently two major bottlenecks to the commercia...
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06/28/2017
The E2E Dataset: New Challenges For End-to-End Generation
This paper describes the E2E data, a new dataset for training end-to-end...
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08/01/2016
Crowd-sourcing NLG Data: Pictures Elicit Better Data
Recent advances in corpus-based Natural Language Generation (NLG) hold t...
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06/15/2016
Natural Language Generation as Planning under Uncertainty Using Reinforcement Learning
We present and evaluate a new model for Natural Language Generation (NLG...
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06/10/2016
