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Found 15 papers, 6 papers with code
Two Languages Are Better than One: Bilingual Enhancement for Chinese Named Entity Recognition
Chinese Named Entity Recognition (NER) has continued to attract research attention.
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
This paper presents a thorough empirical study on the utilization of queries of KQL, a DSL employed for incident management in a large-scale cloud management system at Microsoft.
Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks
The case study involving additional biomedical NLP tasks further shows Taiyi's considerable potential for bilingual biomedical multi-tasking.
BokehOrNot: Transforming Bokeh Effect with Image Transformer and Lens Metadata Embedding
Current models are limited in their ability to render a specific set of bokeh effects, primarily transformations from sharp to blur.
Lens-to-lens bokeh effect transformation. NTIRE 2023 challenge report
We present the new Bokeh Effect Transformation Dataset (BETD), and review the proposed solutions for this novel task at the NTIRE 2023 Bokeh Effect Transformation Challenge.
EPIHC: Improving Enhancer-Promoter Interaction Prediction by using Hybrid features and Communicative learning
The computational experiments show that EPIHC outperforms the existing state-of-the-art EPI prediction methods on the benchmark datasets and chromosome-split datasets, and the study reveal that the communicative learning module can bring explicit information about EPIs, which is ignore by CNN.
Joint Entity and Relation Extraction for Legal Documents with Legal Feature Enhancement
We propose a Legal Triplet Extraction System for drug-related criminal judgment documents.
Biomedical named entity recognition using BERT in the machine reading comprehension framework
Using the sequence labeling framework to implement biomedical named entity recognition (BioNER) is currently a conventional method.
Chemical-protein Interaction Extraction via Gaussian Probability Distribution and External Biomedical Knowledge
Furthermore, the Gaussian probability distribution can effectively improve the extraction performance of sentences with overlapping relations in biomedical relation extraction tasks.
Transfer Learning in Biomedical Named Entity Recognition: An Evaluation of BERT in the PharmaCoNER task
To date, a large amount of biomedical content has been published in non-English texts, especially for clinical documents.
An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition
Motivation: In biomedical research, chemical is an important class of entities, and chemical named entity recognition (NER) is an important task in the field of biomedical information extraction.
Ranked #2 on
Named Entity Recognition (NER)
on BC4CHEMD
WECA: A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition
In this work, we first use WordNet to understand and expand word embedding for settling the polysemy of homographic puns, and then propose a WordNet-Encoded Collocation-Attention network model (WECA) which combined with the context weights for recognizing the puns.
Drug–drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths
Results In this article, we present a hierarchical recurrent neural networks (RNNs)-based method to integrate the SDP and sentence sequence for DDI extraction task.
A graph kernel based on context vectors for extracting drug–drug interactions
Especially for the Medline-2013 dataset, our system outperforms the top-ranking DDIs systems by F-scores of 10. 7 and 12. 2 in detection and classification, respectively.
