Daisuke Bekki | DeepAI

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∙ 02/28/2023

Is Japanese CCGBank empirically correct? A case study of passive and causative constructions

The Japanese CCGBank serves as training and evaluation data for developi...

0 Daisuke Bekki, et al. ∙

∙ 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...

0 Riko Suzuki, et al. ∙

∙ 11/02/2020

Combining Event Semantics and Degree Semantics for Natural Language Inference

In formal semantics, there are two well-developed semantic frameworks: e...

0 Izumi Haruta, et al. ∙

∙ 05/16/2020

Logical Inferences with Comparatives and Generalized Quantifiers

Comparative constructions pose a challenge in Natural Language Inference...

0 Izumi Haruta, et al. ∙

∙ 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...

0 Hitomi Yanaka, et al. ∙

∙ 10/02/2019

A CCG-based Compositional Semantics and Inference System for Comparatives

Comparative constructions play an important role in natural language inf...

0 Izumi Haruta, et al. ∙

∙ 06/15/2019

Can neural networks understand monotonicity reasoning?

Monotonicity reasoning is one of the important reasoning skills for any ...

0 Hitomi Yanaka, et al. ∙

∙ 06/10/2019

Multimodal Logical Inference System for Visual-Textual Entailment

A large amount of research about multimodal inference across text and vi...

0 Riko Suzuki, et al. ∙

∙ 06/05/2019

Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation

We propose a new domain adaptation method for Combinatory Categorial Gra...

0 Masashi Yoshikawa, et al. ∙

∙ 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 ...

0 Hitomi Yanaka, et al. ∙

∙ 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...

0 Masashi Yoshikawa, et al. ∙

∙ 04/20/2018

Acquisition of Phrase Correspondences using Natural Deduction Proofs

How to identify, extract, and use phrasal knowledge is a crucial problem...

0 Hitomi Yanaka, et al. ∙

∙ 04/19/2018

Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning

In formal logic-based approaches to Recognizing Textual Entailment (RTE)...

0 Masashi Yoshikawa, et al. ∙

∙ 07/27/2017

Determining Semantic Textual Similarity using Natural Deduction Proofs

Determining semantic textual similarity is a core research subject in na...

0 Hitomi Yanaka, et al. ∙

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