This paper investigates whether current large language models exhibit bi...
Natural Language Inference (NLI) and Semantic Textual Similarity (STS) a...
This paper introduces a new video-and-language dataset with human action...
Recently, deep neural networks (DNNs) have achieved great success in
sem...
There has been a widely held view that visual representations (e.g.,
pho...
Despite the recent success of deep neural networks in natural language
p...
In formal semantics, there are two well-developed semantic frameworks: e...
Comparative constructions pose a challenge in Natural Language Inference...
Despite the success of language models using neural networks, it remains...
Comparative constructions play an important role in natural language
inf...
Monotonicity reasoning is one of the important reasoning skills for any
...
A large amount of research about multimodal inference across text and vi...
We propose a new domain adaptation method for Combinatory Categorial Gra...
Large crowdsourced datasets are widely used for training and evaluating
...
In logic-based approaches to reasoning tasks such as Recognizing Textual...
How to identify, extract, and use phrasal knowledge is a crucial problem...
In formal logic-based approaches to Recognizing Textual Entailment (RTE)...
Determining semantic textual similarity is a core research subject in na...