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Found 14 papers, 6 papers with code
Automated Clinical Coding for Outpatient Departments
Computerised clinical coding approaches aim to automate the process of assigning a set of codes to medical records.
MetaWeather: Few-Shot Weather-Degraded Image Restoration
Real-world weather conditions are intricate and often occur concurrently.
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records
This paper describes PULSAR, our system submission at the ImageClef 2023 MediQA-Sum task on summarising patient-doctor dialogues into clinical records.
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models
Medical progress notes play a crucial role in documenting a patient's hospital journey, including his or her condition, treatment plan, and any updates for healthcare providers.
A Two-Stage Decoder for Efficient ICD Coding
Clinical notes in healthcare facilities are tagged with the International Classification of Diseases (ICD) code; a list of classification codes for medical diagnoses and procedures.
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the ChatGPT Era and Beyond
In this paper, we provide an overview of the different methods for sentence representation learning, focusing mostly on deep learning models.
Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification
Clinical notes are assigned ICD codes - sets of codes for diagnoses and procedures.
Ranked #1 on
Medical Code Prediction
on MIMIC-IV-ICD10-top50
A Conditional Splitting Framework for Efficient Constituency Parsing
We introduce a generic seq2seq parsing framework that casts constituency parsing problems (syntactic and discourse parsing) into a series of conditional splitting decisions.
RST Parsing from Scratch
We introduce a novel top-down end-to-end formulation of document-level discourse parsing in the Rhetorical Structure Theory (RST) framework.
Ranked #1 on
Discourse Parsing
on RST-DT
Differentiable Window for Dynamic Local Attention
We propose Differentiable Window, a new neural module and general purpose component for dynamic window selection.
Efficient Constituency Parsing by Pointing
We propose a novel constituency parsing model that casts the parsing problem into a series of pointing tasks.
Cross-model Back-translated Distillation for Unsupervised Machine Translation
Recent unsupervised machine translation (UMT) systems usually employ three main principles: initialization, language modeling and iterative back-translation, though they may apply them differently.
Enhancing Attention with Explicit Phrasal Alignments
The attention mechanism is an indispensable component of any state-of-the-art neural machine translation system.
Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation
We address the problem of speech act recognition (SAR) in asynchronous conversations (forums, emails).
