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11/11/2021
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking
Multi-task learning is useful in NLP because it is often practically des...
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10/01/2020
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training
Pre-training large language models has become a standard in the natural ...
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07/17/2020
AWS CORD19-Search: A Scientific Literature Search Engine for COVID-19
Coronavirus disease (COVID-19) has been declared as a pandemic by WHO wi...
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04/08/2020
CALM: Continuous Adaptive Learning for Language Modeling
Training large language representation models has become a standard in t...
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10/17/2019
Towards Annotating and Creating Sub-Sentence Summary Highlights
Highlighting is a powerful tool to pick out important content and emphas...
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04/04/2019
Guiding Extractive Summarization with Question-Answering Rewards
Highlighting while reading is a natural behavior for people to track sal...
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12/13/2018
Dynamic Transfer Learning for Named Entity Recognition
State-of-the-art named entity recognition (NER) systems have been improv...
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05/25/2018
Reinforced Extractive Summarization with Question-Focused Rewards
We investigate a new training paradigm for extractive summarization. Tra...
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05/25/2018