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05/04/2023
ChatGPT-steered Editing Instructor for Customization of Abstractive Summarization
Tailoring outputs of large language models, such as ChatGPT, to specific...
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02/12/2023
Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues
Discourse processing suffers from data sparsity, especially for dialogue...
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09/07/2022
Entity-based SpanCopy for Abstractive Summarization to Improve the Factual Consistency
Despite the success of recent abstractive summarizers on automatic evalu...
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12/10/2021
Human Interpretation and Exploitation of Self-attention Patterns in Transformers: A Case Study in Extractive Summarization
The transformer multi-head self-attention mechanism has been thoroughly ...
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10/16/2021
PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization
Recently proposed pre-trained generation models achieve strong performan...
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08/31/2021
T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP
Transformers are the dominant architecture in NLP, but their training an...
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06/04/2021
W-RST: Towards a Weighted RST-style Discourse Framework
Aiming for a better integration of data-driven and linguistically-inspir...
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05/29/2021
Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning
In news articles the lead bias is a common phenomenon that usually domin...
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04/14/2021
Predicting Discourse Trees from Transformer-based Neural Summarizers
Previous work indicates that discourse information benefits summarizatio...
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12/03/2020
Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help !
The multi-head self-attention of popular transformer models is widely us...
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11/30/2020
Systematically Exploring Redundancy Reduction in Summarizing Long Documents
Our analysis of large summarization datasets indicates that redundancy i...
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09/07/2020
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
An essential prerequisite for unleashing the potential of supervised dee...
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09/17/2019