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11/24/2022
Detecting Entities in the Astrophysics Literature: A Comparison of Word-based and Span-based Entity Recognition Methods
Information Extraction from scientific literature can be challenging due...
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10/11/2022
An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification
Non-hierarchical sparse attention Transformer-based models, such as Long...
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04/25/2022
Tensorial tomographic differential phase-contrast microscopy
We report Tensorial Tomographic Differential Phase-Contrast microscopy (...
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04/14/2022
Revisiting Transformer-based Models for Long Document Classification
The recent literature in text classification is biased towards short tex...
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09/14/2021
MDAPT: Multilingual Domain Adaptive Pretraining in a Single Model
Domain adaptive pretraining, i.e. the continued unsupervised pretraining...
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06/23/2021
Recognising Biomedical Names: Challenges and Solutions
The growth rate in the amount of biomedical documents is staggering. Unl...
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10/23/2020
NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction
The recognition and normalization of clinical information, such as tumor...
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10/22/2020
An Analysis of Simple Data Augmentation for Named Entity Recognition
Simple yet effective data augmentation techniques have been proposed for...
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10/02/2020
Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media
Recent studies on domain-specific BERT models show that effectiveness on...
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04/28/2020
An Effective Transition-based Model for Discontinuous NER
Unlike widely used Named Entity Recognition (NER) data sets in generic d...
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06/04/2019
NNE: A Dataset for Nested Named Entity Recognition in English Newswire
Named entity recognition (NER) is widely used in natural language proces...
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04/01/2019
