83 citations · 132 across the 6 of their papers we have counts for
11 papers
PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts
Franck Dernoncourt, Ji Young Lee
We present PubMed 200k RCT, a new dataset based on PubMed for sequential sentence classification. The dataset consists of approximately 200,000 abstracts of randomized controlled t…
Transfer Learning for Named-Entity Recognition with Neural Networks
Ji Young Lee, Franck Dernoncourt, Peter Szolovits
Recent approaches based on artificial neural networks (ANNs) have shown promising results for named-entity recognition (NER). In order to achieve high performances, ANNs need to be…
NeuroNER: an easy-to-use program for named-entity recognition based on neural networks
Franck Dernoncourt, Ji Young Lee, Peter Szolovits
Named-entity recognition (NER) aims at identifying entities of interest in a text. Artificial neural networks (ANNs) have recently been shown to outperform existing NER systems. Ho…
MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks
Ji Young Lee, Franck Dernoncourt, Peter Szolovits
Over 50 million scholarly articles have been published: they constitute a unique repository of knowledge. In particular, one may infer from them relations between scientific concep…
Neural Networks for Joint Sentence Classification in Medical Paper Abstracts
Franck Dernoncourt, Ji Young Lee, Peter Szolovits
Existing models based on artificial neural networks (ANNs) for sentence classification often do not incorporate the context in which sentences appear, and classify sentences indivi…
Feature-Augmented Neural Networks for Patient Note De-identification
Ji Young Lee, Franck Dernoncourt, Ozlem Uzuner +1
Patient notes contain a wealth of information of potentially great interest to medical investigators. However, to protect patients' privacy, Protected Health Information (PHI) must…
Optimizing Neural Network Hyperparameters with Gaussian Processes for Dialog Act Classification
Franck Dernoncourt, Ji Young Lee
Systems based on artificial neural networks (ANNs) have achieved state-of-the-art results in many natural language processing tasks. Although ANNs do not require manually engineere…
De-identification of Patient Notes with Recurrent Neural Networks
Franck Dernoncourt, Ji Young Lee, Ozlem Uzuner +1
Objective: Patient notes in electronic health records (EHRs) may contain critical information for medical investigations. However, the vast majority of medical investigators can on…
Robust Dialog State Tracking for Large Ontologies
Franck Dernoncourt, Ji Young Lee, Trung H. Bui +1
The Dialog State Tracking Challenge 4 (DSTC 4) differentiates itself from the previous three editions as follows: the number of slot-value pairs present in the ontology is much lar…
Adobe-MIT submission to the DSTC 4 Spoken Language Understanding pilot task
Franck Dernoncourt, Ji Young Lee, Trung H. Bui +1
The Dialog State Tracking Challenge 4 (DSTC 4) proposes several pilot tasks. In this paper, we focus on the spoken language understanding pilot task, which consists of tagging a gi…
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
Ji Young Lee, Franck Dernoncourt
Recent approaches based on artificial neural networks (ANNs) have shown promising results for short-text classification. However, many short texts occur in sequences (e.g., sentenc…