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09/20/2023
Controlled Generation with Prompt Insertion for Natural Language Explanations in Grammatical Error Correction
In Grammatical Error Correction (GEC), it is crucial to ensure the user'...
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09/18/2023
Evaluating Gender Bias of Pre-trained Language Models in Natural Language Inference by Considering All Labels
Discriminatory social biases, including gender biases, have been found i...
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09/16/2023
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated
Pre-trained language models trained on large-scale data have learned ser...
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09/13/2023
In-Contextual Bias Suppression for Large Language Models
Despite their impressive performance in a wide range of NLP tasks, Large...
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07/21/2023
OUTFOX: LLM-generated Essay Detection through In-context Learning with Adversarially Generated Examples
Large Language Models (LLMs) have achieved human-level fluency in text g...
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05/29/2023
Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods
Large-scale pre-trained language models such as GPT-3 have shown remarka...
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05/19/2023
Reducing Sequence Length by Predicting Edit Operations with Large Language Models
Large Language Models (LLMs) have demonstrated remarkable performance in...
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05/19/2023
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach
Humans work together to solve common problems by having discussions, exp...
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01/28/2023
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples
Numerous types of social biases have been identified in pre-trained lang...
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10/06/2022
Debiasing isn't enough! – On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks
We study the relationship between task-agnostic intrinsic and task-speci...
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07/27/2022
Are Neighbors Enough? Multi-Head Neural n-gram can be Alternative to Self-attention
Impressive performance of Transformer has been attributed to self-attent...
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05/19/2022
Gender Bias in Meta-Embeddings
Combining multiple source embeddings to create meta-embeddings is consid...
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03/14/2022
Sense Embeddings are also Biased–Evaluating Social Biases in Static and Contextualised Sense Embeddings
Sense embedding learning methods learn different embeddings for the diff...
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03/14/2022
Interpretability for Language Learners Using Example-Based Grammatical Error Correction
Grammatical Error Correction (GEC) should not focus only on high accurac...
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01/17/2022
Proficiency Matters Quality Estimation in Grammatical Error Correction
This study investigates how supervised quality estimation (QE) models of...
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01/14/2022
ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization
Neural models trained with large amount of parallel data have achieved i...
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04/17/2021
Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation
Neural machine translation (NMT) has recently gained widespread attentio...
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04/16/2021
Comparison of Grammatical Error Correction Using Back-Translation Models
Grammatical error correction (GEC) suffers from a lack of sufficient par...
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04/15/2021
Unmasking the Mask – Evaluating Social Biases in Masked Language Models
Masked Language Models (MLMs) have shown superior performances in numero...
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04/15/2021
Simultaneous Multi-Pivot Neural Machine Translation
Parallel corpora are indispensable for training neural machine translati...
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01/23/2021
Dictionary-based Debiasing of Pre-trained Word Embeddings
Word embeddings trained on large corpora have shown to encode high level...
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01/23/2021
Debiasing Pre-trained Contextualised Embeddings
In comparison to the numerous debiasing methods proposed for the static ...
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10/25/2020
Autoencoding Improves Pre-trained Word Embeddings
Prior work investigating the geometry of pre-trained word embeddings hav...
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10/07/2020
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction
Existing approaches for grammatical error correction (GEC) largely rely ...
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05/03/2020
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction
This paper investigates how to effectively incorporate a pre-trained mas...
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04/07/2020
Towards Multimodal Simultaneous Neural Machine Translation
Simultaneous translation involves translating a sentence before the spea...
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06/03/2019
Gender-preserving Debiasing for Pre-trained Word Embeddings
Word embeddings learnt from massive text collections have demonstrated s...
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04/15/2019
Multi-Head Multi-Layer Attention to Deep Language Representations for Grammatical Error Detection
It is known that a deep neural network model pre-trained with large-scal...
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04/05/2019