Search Results for author:
Found 26 papers, 0 papers with code
Similarity Scoring for Dialogue Behaviour Comparison
The differences in decision making between behavioural models of voice interfaces are hard to capture using existing measures for the absolute performance of such models.
Blending Task Success and User Satisfaction: Analysis of Learned Dialogue Behaviour with Multiple Rewards
Recently, principal reward components for dialogue policy reinforcement learning use task success and user satisfaction independently and neither the resulting learned behaviour has been analysed nor a suitable proper analysis method even existed.
System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator
In this work, we study dialogue scenarios that start from chit-chat but eventually switch to task-related services, and investigate how a unified dialogue model, which can engage in both chit-chat and task-oriented dialogues, takes the initiative during the dialogue mode transition from chit-chat to task-oriented in a coherent and cooperative manner.
Unified Conversational Models with System-Initiated Transitions between Chit-Chat and Task-Oriented Dialogues
We contribute two efficient prompt models which can proactively generate a transition sentence to trigger system-initiated transitions in a unified dialogue model.
ConceptNet infused DialoGPT for Underlying Commonsense Understanding and Reasoning in Dialogue Response Generation
The pre-trained conversational models still fail to capture the implicit commonsense (CS) knowledge hidden in the dialogue interaction, even though they were pre-trained with an enormous dataset.
Context Matters in Semantically Controlled Language Generation for Task-oriented Dialogue Systems
We utilize the pre-trained multi-context ConveRT model for context representation in a model trained from scratch; and leverage the immediate preceding user utterance for context generation in a model adapted from the pre-trained GPT-2.
Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge
One challenge for dialogue agents is to recognize feelings of the conversation partner and respond accordingly.
Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues using BERT
This paper presents an automatic method to evaluate the naturalness of natural language generation in dialogue systems.
GHHT at CALCS 2018: Named Entity Recognition for Dialectal Arabic Using Neural Networks
This paper describes our system submission to the CALCS 2018 shared task on named entity recognition on code-switched data for the language variant pair of Modern Standard Arabic and Egyptian dialectal Arabic.
GHH at SemEval-2018 Task 10: Discovering Discriminative Attributes in Distributional Semantics
This paper describes our system submission to the SemEval 2018 Task 10 on Capturing Discriminative Attributes.
Natural Language Input for In-Car Spoken Dialog Systems: How Natural is Natural?
By means of a comparative study of the utterances from the study with interpersonal utterances, we provide criteria what constitutes naturalness in the user input of an state-of-the-art automotive SDS.
An Arabic-Moroccan Darija Code-Switched Corpus
In this paper, we describe our effort in the development and annotation of a large scale corpus containing code-switched data.
Discosuite - A parser test suite for German discontinuous structures
However, for the evaluation of parser performance concerning a particular phenomenon, a test suite of sentences is needed in which this phenomenon has been identified.
