Logical fallacy uses invalid or faulty reasoning in the construction of a statement. Despite the
prevalence and harmfulness of logical fallacies, detecting and classifying logical fallacies …

Natural logic reasoning has received increasing attention lately, with several datasets and
neural models proposed, though with limited success. More recently, a new class of works …

Unsupervised text-graph alignment (UTGA) is a fundamental task that bidirectionally
generates texts and graphs without parallel data. Most available models of UTGA suffer from …

A long-standing difficulty in AI is the introduction of human-like reasoning in machine
reading comprehension. Since algorithmic models can already perform as well as humans …

Due to their linguistic and analytical performance, LLMs have attracted attention outside the
NLP community and in recent months many real-world uses of language models have been …