Search Results for author: Jingshu Liu

Found 9 papers, 2 papers with code

Encouraging Neural Machine Translation to Satisfy Terminology Constraints.

no code implementations JEP/TALN/RECITAL 2022 Melissa Ailem, Jingshu Liu, Raheel Qader

Empirical results show that our method improves upon related baselines in terms of both BLEU score and the percentage of generated constraint terms.

Machine Translation Translation

Large Language Model Adaptation for Financial Sentiment Analysis

no code implementations26 Jan 2024 Pau Rodriguez Inserte, Mariam Nakhlé, Raheel Qader, Gaetan Caillaut, Jingshu Liu

We show that through careful fine-tuning on both financial documents and instructions, these foundation models can be adapted to the target domain.

Language Modelling Large Language Model +2

A Machine Learning Approach for Recruitment Prediction in Clinical Trial Design

no code implementations14 Nov 2021 Jingshu Liu, Patricia J Allen, Luke Benz, Daniel Blickstein, Evon Okidi, Xiao Shi

Significant advancements have been made in recent years to optimize patient recruitment for clinical trials, however, improved methods for patient recruitment prediction are needed to support trial site selection and to estimate appropriate enrollment timelines in the trial design stage.

BIG-bench Machine Learning

BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining

no code implementations EMNLP (ClinicalNLP) 2020 Zachariah Zhang, Jingshu Liu, Narges Razavian

In this paper, we propose a machine learning model, BERT-XML, for large scale automated ICD coding from EHR notes, utilizing recently developed unsupervised pretraining that have achieved state of the art performance on a variety of NLP tasks.

An Image Based Visual Servo Approach with Deep Learning for Robotic Manipulation

no code implementations17 Sep 2019 Jingshu Liu, Yuan Li

With the powerful learning capabilities of convolutional neural networks(CNN), autonomous learning to extract features from images and fitting the nonlinear relationships from image space to task space is achieved, which can greatly facilitate the image based visual servo procedure.

Deep EHR: Chronic Disease Prediction Using Medical Notes

1 code implementation Machine Learning for Health Care conference 2018 Jingshu Liu, Zachariah Zhang, Narges Razavian

Early detection of preventable diseases is important for better disease management, improved inter-ventions, and more efficient health-care resource allocation.

Disease Prediction Management

Alignement de termes de longueur variable en corpus comparables sp\'ecialis\'es (Alignment of variable length terms in specialized comparable corpora)

no code implementations JEPTALNRECITAL 2018 Jingshu Liu, Emmanuel Morin, Sebasti{\'a}n Pe{\~n}a Saldarriaga

Nous proposons dans cet article une adaptation de l{'}approche compositionnelle {\'e}tendue capable d{'}aligner des termes de longueurs variables {\`a} partir de corpus comparables, en modifiant la repr{\'e}sentation des termes complexes.

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