Search Results for author: Simon Keizer

Found 13 papers, 2 papers with code

Combining Structured and Unstructured Knowledge in an Interactive Search Dialogue System

no code implementations SIGDIAL (ACL) 2022 Svetlana Stoyanchev, Suraj Pandey, Simon Keizer, Norbert Braunschweiler, Rama Sanand Doddipatla

Based on objective metrics and subjective user ratings, we demonstrate the feasibility of using an unsupervised low latency approach to extend a schema-driven search dialogue system to handle unconstrained user preferences.

Semantic Similarity Semantic Textual Similarity

Evaluating Large Language Models for Document-grounded Response Generation in Information-Seeking Dialogues

no code implementations21 Sep 2023 Norbert Braunschweiler, Rama Doddipatla, Simon Keizer, Svetlana Stoyanchev

Observing that document-grounded response generation via LLMs cannot be adequately assessed by automatic evaluation metrics as they are significantly more verbose, we perform a human evaluation where annotators rate the output of the shared task winning system, the two Chat-GPT variants outputs, and human responses.

Response Generation

Adversarial learning of neural user simulators for dialogue policy optimisation

no code implementations1 Jun 2023 Simon Keizer, Caroline Dockes, Norbert Braunschweiler, Svetlana Stoyanchev, Rama Doddipatla

Reinforcement learning based dialogue policies are typically trained in interaction with a user simulator.

Dialogue Strategy Adaptation to New Action Sets Using Multi-dimensional Modelling

no code implementations14 Apr 2022 Simon Keizer, Norbert Braunschweiler, Svetlana Stoyanchev, Rama Doddipatla

A major bottleneck for building statistical spoken dialogue systems for new domains and applications is the need for large amounts of training data.

Dialogue Management Management +2

A study on cross-corpus speech emotion recognition and data augmentation

no code implementations10 Jan 2022 Norbert Braunschweiler, Rama Doddipatla, Simon Keizer, Svetlana Stoyanchev

Models trained on mixed corpora can be more stable in mismatched contexts, and the performance reductions range from 1 to 8% when compared with single corpus models in matched conditions.

Cross-corpus Data Augmentation +1

Action State Update Approach to Dialogue Management

no code implementations9 Nov 2020 Svetlana Stoyanchev, Simon Keizer, Rama Doddipatla

Utterance interpretation is one of the main functions of a dialogue manager, which is the key component of a dialogue system.

Active Learning Dialogue Management +2

The ISO Standard for Dialogue Act Annotation, Second Edition

no code implementations LREC 2020 Harry Bunt, Volha Petukhova, Emer Gilmartin, Catherine Pelachaud, Alex Fang, Simon Keizer, Laurent Pr{\'e}vot

ISO standard 24617-2 for dialogue act annotation, established in 2012, has in the past few years been used both in corpus annotation and in the design of components for spoken and multimodal dialogue systems.

User Evaluation of a Multi-dimensional Statistical Dialogue System

no code implementations WS 2019 Simon Keizer, Ondřej Dušek, Xingkun Liu, Verena Rieser

We present the first complete spoken dialogue system driven by a multi-dimensional statistical dialogue manager.

Strategic Dialogue Management via Deep Reinforcement Learning

1 code implementation25 Nov 2015 Heriberto Cuayáhuitl, Simon Keizer, Oliver Lemon

This paper describes a successful application of Deep Reinforcement Learning (DRL) for training intelligent agents with strategic conversational skills, in a situated dialogue setting.

Dialogue Management Management +2

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