research
∙
06/21/2023
Evaluating Large Language Models with NeuBAROCO: Syllogistic Reasoning Ability and Human-like Biases
This paper investigates whether current large language models exhibit bi...
share
research
∙
08/09/2022
Compositional Evaluation on Japanese Textual Entailment and Similarity
Natural Language Inference (NLI) and Semantic Textual Similarity (STS) a...
research
∙
06/27/2021
Building a Video-and-Language Dataset with Human Actions for Multimodal Logical Inference
This paper introduces a new video-and-language dataset with human action...
research
∙
06/02/2021
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics
Recently, deep neural networks (DNNs) have achieved great success in sem...
research
∙
05/21/2021
Visual representation of negation: Real world data analysis on comic image design
There has been a widely held view that visual representations (e.g., pho...
research
∙
01/26/2021
Exploring Transitivity in Neural NLI Models through Veridicality
Despite the recent success of deep neural networks in natural language p...
research
∙
11/02/2020
Combining Event Semantics and Degree Semantics for Natural Language Inference
In formal semantics, there are two well-developed semantic frameworks: e...
research
∙
05/16/2020
Logical Inferences with Comparatives and Generalized Quantifiers
Comparative constructions pose a challenge in Natural Language Inference...
research
∙
04/30/2020
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?
Despite the success of language models using neural networks, it remains...
research
∙
10/02/2019
A CCG-based Compositional Semantics and Inference System for Comparatives
Comparative constructions play an important role in natural language inf...
research
∙
06/15/2019
Can neural networks understand monotonicity reasoning?
Monotonicity reasoning is one of the important reasoning skills for any ...
research
∙
06/10/2019
Multimodal Logical Inference System for Visual-Textual Entailment
A large amount of research about multimodal inference across text and vi...
research
∙
06/05/2019
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation
We propose a new domain adaptation method for Combinatory Categorial Gra...
research
∙
04/27/2019
HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning
Large crowdsourced datasets are widely used for training and evaluating ...
research
∙
11/15/2018
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference
In logic-based approaches to reasoning tasks such as Recognizing Textual...
research
∙
04/20/2018
Acquisition of Phrase Correspondences using Natural Deduction Proofs
How to identify, extract, and use phrasal knowledge is a crucial problem...
research
∙
04/19/2018
Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning
In formal logic-based approaches to Recognizing Textual Entailment (RTE)...
research
∙
07/27/2017
