Search Results for author: Svetlana Stoyanchev

Found 16 papers, 1 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

Semantic Map-based Generation of Navigation Instructions

1 code implementation28 Mar 2024 Chengzu Li, Chao Zhang, Simone Teufel, Rama Sanand Doddipatla, Svetlana Stoyanchev

In this paper, we propose a new approach to navigation instruction generation by framing the problem as an image captioning task using semantic maps as visual input.

Image Captioning

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.

Opening up Minds with Argumentative Dialogues

no code implementations16 Jan 2023 Youmna Farag, Charlotte O. Brand, Jacopo Amidei, Paul Piwek, Tom Stafford, Svetlana Stoyanchev, Andreas Vlachos

We show that while both models perform closely in terms of opening up minds, the argument-based model is significantly better on other dialogue properties such as engagement and clarity.

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

Towards Handling Unconstrained User Preferences in Dialogue

no code implementations17 Sep 2021 Suraj Pandey, Svetlana Stoyanchev, Rama Doddipatla

A user input to a schema-driven dialogue information navigation system, such as venue search, is typically constrained by the underlying database which restricts the user to specify a predefined set of preferences, or slots, corresponding to the database fields.

Information Retrieval Retrieval

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

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