48 citations · 56 across the 15 of their papers we have counts for
10 papers · 1 filter
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…
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…
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…