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06/28/2022
BertNet: Harvesting Knowledge Graphs from Pretrained Language Models
Symbolic knowledge graphs (KGs) have been constructed either by expensiv...
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09/14/2021
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation
Natural language generation (NLG) spans a broad range of tasks, each of ...
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06/14/2021
Text Generation with Efficient (Soft) Q-Learning
Maximum likelihood estimation (MLE) is the predominant algorithm for tra...
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10/14/2020
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach
Given a document and a target aspect (e.g., a topic of interest), aspect...
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06/28/2020
Progressive Generation of Long Text
Large-scale language models pretrained on massive corpora of text, such ...
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06/03/2020
Automatic Text Summarization of COVID-19 Medical Research Articles using BERT and GPT-2
With the COVID-19 pandemic, there is a growing urgency for medical commu...
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05/11/2020
On the Generation of Medical Dialogues for COVID-19
Under the pandemic of COVID-19, people experiencing COVID19-related symp...
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12/11/2019
Crossing Reduction of Sankey Diagram with Barycentre Ordering via Markov Chain
Sankey diagram is popular for analyzing primary flows in network data. H...
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10/28/2019
Learning Data Manipulation for Augmentation and Weighting
Manipulating data, such as weighting data examples or augmenting with ne...
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05/27/2019
AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning
Dialogue policy plays an important role in task-oriented spoken dialogue...
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11/24/2018
Connecting the Dots Between MLE and RL for Sequence Generation
Sequence generation models such as recurrent networks can be trained wit...
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09/04/2018
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
We introduce Texar, an open-source toolkit aiming to support the broad s...
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01/13/2018