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05/29/2023
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning
In recent years, there has been significant progress in developing pre-t...
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09/30/2022
Zero-Shot Retrieval with Search Agents and Hybrid Environments
Learning to search is the task of building artificial agents that learn ...
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06/07/2021
A Simple Recipe for Multilingual Grammatical Error Correction
This paper presents a simple recipe to train state-of-the-art multilingu...
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05/25/2021
Focus Attention: Promoting Faithfulness and Diversity in Summarization
Professional summaries are written with document-level information, such...
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10/02/2020
Unsupervised Text Style Transfer with Padded Masked Language Models
We propose Masker, an unsupervised text-editing method for style transfe...
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05/22/2020
A Generative Approach to Titling and Clustering Wikipedia Sections
We evaluate the performance of transformer encoders with various decoder...
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09/03/2019
Encode, Tag, Realize: High-Precision Text Editing
We propose LaserTagger - a sequence tagging approach that casts text gen...
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07/29/2019
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
Unsupervised pre-training of large neural models has recently revolution...
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09/24/2018
Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!
Motivated by recent findings on the probabilistic modeling of acceptabil...
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11/30/2017
Learning to Learn from Weak Supervision by Full Supervision
In this paper, we propose a method for training neural networks when we ...
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11/01/2017
Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision
Training deep neural networks requires massive amounts of training data,...
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08/11/2017
Learning to Attend, Copy, and Generate for Session-Based Query Suggestion
Users try to articulate their complex information needs during search se...
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02/24/2016
Ultradense Word Embeddings by Orthogonal Transformation
Embeddings are generic representations that are useful for many NLP task...
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07/04/2015