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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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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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06/06/2023
SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure Captioning
In scholarly documents, figures provide a straightforward way of communi...
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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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04/22/2023
Semantic Specialization for Knowledge-based Word Sense Disambiguation
A promising approach for knowledge-based Word Sense Disambiguation (WSD)...
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02/17/2023
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction
Document-level relation extraction (DocRE) is the task of identifying al...
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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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11/08/2022
Unsupervised Domain Adaptation for Sparse Retrieval by Filling Vocabulary and Word Frequency Gaps
IR models using a pretrained language model significantly outperform lex...
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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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08/26/2022
Nearest Neighbor Non-autoregressive Text Generation
Non-autoregressive (NAR) models can generate sentences with less computa...
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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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05/25/2022
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Logical table-to-text generation is a task that involves generating logi...
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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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03/25/2022
Semi-Supervised Formality Style Transfer with Consistency Training
Formality style transfer (FST) is a task that involves paraphrasing an i...
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03/25/2022
Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation
Subword regularizations use multiple subword segmentations during traini...
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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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01/27/2022
Learning How to Translate North Korean through South Korean
South and North Korea both use the Korean language. However, Korean NLP ...
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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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12/12/2021
Improving Logical-Level Natural Language Generation with Topic-Conditioned Data Augmentation and Logical Form Generation
Logical Natural Language Generation, i.e., generating textual descriptio...
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09/15/2021
Transformer-based Lexically Constrained Headline Generation
This paper explores a variant of automatic headline generation methods, ...
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05/26/2021
Joint Optimization of Tokenization and Downstream Model
Since traditional tokenizers are isolated from a downstream task and mod...
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11/30/2020
Multimodal Pretraining Unmasked: Unifying the Vision and Language BERTs
Large-scale pretraining and task-specific fine-tuning is now the standar...
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10/15/2020
Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized Representations
In this study, a novel method for extracting named entities and relation...
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10/15/2020
Multi-Task Learning for Cross-Lingual Abstractive Summarization
We present a multi-task learning framework for cross-lingual abstractive...
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06/23/2020
Keyframe Segmentation and Positional Encoding for Video-guided Machine Translation Challenge 2020
Video-guided machine translation as one of multimodal neural machine tra...
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05/05/2020
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information
The performance of neural machine translation systems is commonly evalua...
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05/02/2020
Improving Truthfulness of Headline Generation
Most studies on abstractive summarization re-port ROUGE scores between s...
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09/06/2019
Improving Neural Machine Translation with Parent-Scaled Self-Attention
Most neural machine translation (NMT) models operate on source and targe...
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07/23/2019
Learning to Select, Track, and Generate for Data-to-Text
We propose a data-to-text generation model with two modules, one for tra...
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04/16/2019
Positional Encoding to Control Output Sequence Length
Neural encoder-decoder models have been successful in natural language g...
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03/28/2019
A Large-Scale Multi-Length Headline Corpus for Improving Length-Constrained Headline Generation Model Evaluation
Browsing news articles on multiple devices is now possible. The lengths ...
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12/22/2017
Source-side Prediction for Neural Headline Generation
The encoder-decoder model is widely used in natural language generation ...
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12/07/2017
A Corpus of Deep Argumentative Structures as an Explanation to Argumentative Relations
In this paper, we compose a new task for deep argumentative structure an...
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09/06/2017
A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse
This study addresses the problem of identifying the meaning of unknown w...
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07/23/2017
Composing Distributed Representations of Relational Patterns
Learning distributed representations for relation instances is a central...
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04/26/2017
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization
We present in this paper our approach for modeling inter-topic preferenc...
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06/08/2016
Learning Semantically and Additively Compositional Distributional Representations
This paper connects a vector-based composition model to a formal semanti...
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11/26/2015
