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09/17/2023
Model-based Subsampling for Knowledge Graph Completion
Subsampling is effective in Knowledge Graph Embedding (KGE) for reducing...
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06/03/2023
Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models
In this paper, we propose a table and image generation task to verify ho...
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05/22/2023
Bidirectional Transformer Reranker for Grammatical Error Correction
Pre-trained seq2seq models have achieved state-of-the-art results in the...
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10/15/2022
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing
To promote and further develop RST-style discourse parsing models, we ne...
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09/13/2022
Subsampling for Knowledge Graph Embedding Explained
In this article, we explain the recent advance of subsampling methods in...
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07/03/2022
Generating Repetitions with Appropriate Repeated Words
A repetition is a response that repeats words in the previous speaker's ...
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06/21/2022
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning
Negative sampling (NS) loss plays an important role in learning knowledg...
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04/25/2022
Aspect-based Analysis of Advertising Appeals for Search Engine Advertising
Writing an ad text that attracts people and persuades them to click or a...
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06/14/2021
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding
In knowledge graph embedding, the theoretical relationship between the s...
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02/01/2021
Metric-Type Identification for Multi-Level Header Numerical Tables in Scientific Papers
Numerical tables are widely used to present experimental results in scie...
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11/09/2020
Pointing to Subwords for Generating Function Names in Source Code
We tackle the task of automatically generating a function name from sour...
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11/04/2020
Neural text normalization leveraging similarities of strings and sounds
We propose neural models that can normalize text by considering the simi...
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02/04/2020