3 citations · 3 across the 4 of their papers we have counts for
8 papers
Conditional Multi-Stage Failure Recovery for Embodied Agents
Youmna Farag, Svetlana Stoyanchev, Mohan Li +2
Embodied agents performing complex tasks are susceptible to execution failures, motivating the need for effective failure recovery mechanisms. In this work, we introduce a conditio…
WHISMA: A Speech-LLM to Perform Zero-shot Spoken Language Understanding
Mohan Li, Cong-Thanh Do, Simon Keizer +3
Speech large language models (speech-LLMs) integrate speech and text-based foundation models to provide a unified framework for handling a wide range of downstream tasks. In this p…
An LLM Feature-based Framework for Dialogue Constructiveness Assessment
Lexin Zhou, Youmna Farag, Andreas Vlachos
Research on dialogue constructiveness assessment focuses on (i) analysing conversational factors that influence individuals to take specific actions, win debates, change their pers…
Opening up Minds with Argumentative Dialogues
Youmna Farag, Charlotte O. Brand, Jacopo Amidei +4
Recent research on argumentative dialogues has focused on persuading people to take some action, changing their stance on the topic of discussion, or winning debates. In this work,…
Analyzing Neural Discourse Coherence Models
Youmna Farag, Josef Valvoda, Helen Yannakoudakis +1
In this work, we systematically investigate how well current models of coherence can capture aspects of text implicated in discourse organisation. We devise two datasets of various…
Multi-Task Learning for Coherence Modeling
Youmna Farag, Helen Yannakoudakis
We address the task of assessing discourse coherence, an aspect of text quality that is essential for many NLP tasks, such as summarization and language assessment. We propose a hi…
Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input
Youmna Farag, Helen Yannakoudakis, Ted Briscoe
We demonstrate that current state-of-the-art approaches to Automated Essay Scoring (AES) are not well-suited to capturing adversarially crafted input of grammatical but incoherent…
An Error-Oriented Approach to Word Embedding Pre-Training
Youmna Farag, Marek Rei, Ted Briscoe
We propose a novel word embedding pre-training approach that exploits writing errors in learners' scripts. We compare our method to previous models that tune the embeddings based o…