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06/27/2023
Constructing Multilingual Code Search Dataset Using Neural Machine Translation
Code search is a task to find programming codes that semantically match ...
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06/19/2023
Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models
Natural Language Inference (NLI) tasks involving temporal inference rema...
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06/05/2023
Analyzing Syntactic Generalization Capacity of Pre-trained Language Models on Japanese Honorific Conversion
Using Japanese honorifics is challenging because it requires not only kn...
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06/04/2023
Does Character-level Information Always Improve DRS-based Semantic Parsing?
Even in the era of massive language models, it has been suggested that c...
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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...
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08/09/2022
Compositional Evaluation on Japanese Textual Entailment and Similarity
Natural Language Inference (NLI) and Semantic Textual Similarity (STS) a...
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04/20/2022
Compositional Semantics and Inference System for Temporal Order based on Japanese CCG
Natural Language Inference (NLI) is the task of determining whether a pr...
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04/16/2022
Logical Inference for Counting on Semi-structured Tables
Recently, the Natural Language Inference (NLI) task has been studied for...
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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...
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06/06/2021
Do Grammatical Error Correction Models Realize Grammatical Generalization?
There has been an increased interest in data generation approaches to gr...
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06/02/2021
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics
Recently, deep neural networks (DNNs) have achieved great success in sem...
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01/26/2021
Exploring Transitivity in Neural NLI Models through Veridicality
Despite the recent success of deep neural networks in natural language p...
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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...
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06/15/2019
Can neural networks understand monotonicity reasoning?
Monotonicity reasoning is one of the important reasoning skills for any ...
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06/10/2019
Multimodal Logical Inference System for Visual-Textual Entailment
A large amount of research about multimodal inference across text and vi...
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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 ...
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04/20/2018
Acquisition of Phrase Correspondences using Natural Deduction Proofs
How to identify, extract, and use phrasal knowledge is a crucial problem...
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07/27/2017