48 citations · 56 across the 15 of their papers we have counts for
15 papers
ToxiREX: A Dataset on Toxic REasoning in ConteXt
Stefan F. Schouten, Ilia Markov, Piek Vossen
We introduce a new, contextual, multilingual dataset called ToxiREX: Toxic REasoning in ConteXt. The dataset consists of threads of Reddit comments and structured characterizations…
Assessing and Refining ChatGPT's Performance in Identifying Targeting and Inappropriate Language: A Comparative Study
Baran Barbarestani, Barbarestani Baran, Isa Maks +3
This study evaluates the effectiveness of ChatGPT, an advanced AI model for natural language processing, in identifying targeting and inappropriate language in online comments. Wit…
Understanding and Analyzing Inappropriately Targeting Language in Online Discourse: A Comparative Annotation Study
Baran Barbarestani, Isa Maks, Piek Vossen
This paper introduces a method for detecting inappropriately targeting language in online conversations by integrating crowd and expert annotations with ChatGPT. We focus on Englis…
Extracting triples from dialogues for conversational social agents
Piek Vossen, Selene Báez Santamaría, Lenka Bajčetić +1
Obtaining an explicit understanding of communication within a Hybrid Intelligence collaboration is essential to create controllable and transparent agents. In this paper, we descri…
Knowledge acquisition for dialogue agents using reinforcement learning on graph representations
Selene Baez Santamaria, Shihan Wang, Piek Vossen
We develop an artificial agent motivated to augment its knowledge base beyond its initial training. The agent actively participates in dialogues with other agents, strategically ac…
Grounding Toxicity in Real-World Events across Languages
Wondimagegnhue Tsegaye Tufa, Ilia Markov, Piek Vossen
Social media conversations frequently suffer from toxicity, creating significant issues for users, moderators, and entire communities. Events in the real world, like elections or c…
Unknown Script: Impact of Script on Cross-Lingual Transfer
Wondimagegnhue Tsegaye Tufa, Ilia Markov, Piek Vossen
Cross-lingual transfer has become an effective way of transferring knowledge between languages. In this paper, we explore an often overlooked aspect in this domain: the influence o…
The Constant in HATE: Analyzing Toxicity in Reddit across Topics and Languages
Wondimagegnhue Tsegaye Tufa, Ilia Markov, Piek Vossen
Toxic language remains an ongoing challenge on social media platforms, presenting significant issues for users and communities. This paper provides a cross-topic and cross-lingual…
Truth-value judgment in language models: 'truth directions' are context sensitive
Stefan F. Schouten, Peter Bloem, Ilia Markov +1
Recent work has demonstrated that the latent spaces of large language models (LLMs) contain directions predictive of the truth of sentences. Multiple methods recover such direction…
Reasoning about Ambiguous Definite Descriptions
Stefan F. Schouten, Peter Bloem, Ilia Markov +1
Natural language reasoning plays an increasingly important role in improving language models' ability to solve complex language understanding tasks. An interesting use case for rea…
A Machine with Short-Term, Episodic, and Semantic Memory Systems
Taewoon Kim, Michael Cochez, Vincent François-Lavet +2
Inspired by the cognitive science theory of the explicit human memory systems, we have modeled an agent with short-term, episodic, and semantic memory systems, each of which is mod…
Evaluating Agent Interactions Through Episodic Knowledge Graphs
Selene Báez Santamaría, Piek Vossen, Thomas Baier
We present a new method based on episodic Knowledge Graphs (eKGs) for evaluating (multimodal) conversational agents in open domains. This graph is generated by interpreting raw sig…
A modular architecture for creating multimodal agents
Thomas Baier, Selene Baez Santamaria, Piek Vossen
The paper describes a flexible and modular platform to create multimodal interactive agents. The platform operates through an event-bus on which signals and interpretations are pos…
A Machine With Human-Like Memory Systems
Taewoon Kim, Michael Cochez, Vincent Francois-Lavet +2
Inspired by the cognitive science theory, we explicitly model an agent with both semantic and episodic memory systems, and show that it is better than having just one of the two me…
EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa
Taewoon Kim, Piek Vossen
We present EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa, a simple yet expressive scheme of solving the ERC (emotion recognition in conversation) task. B…