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06/14/2023
Language models are not naysayers: An analysis of language models on negation benchmarks
Negation has been shown to be a major bottleneck for masked language mod...
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01/26/2023
Improving Text-based Early Prediction by Distillation from Privileged Time-Series Text
Modeling text-based time-series to make prediction about a future event ...
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10/06/2022
Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation
Negation is poorly captured by current language models, although the ext...
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09/19/2022
LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation
In this paper we report on our submission to the Multidocument Summarisa...
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06/04/2022
Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation
Automatic generation of ophthalmic reports using data-driven neural netw...
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05/09/2022
Improving negation detection with negation-focused pre-training
Negation is a common linguistic feature that is crucial in many language...
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02/16/2022
ITTC @ TREC 2021 Clinical Trials Track
This paper describes the submissions of the Natural Language Processing ...
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02/02/2022
MPVNN: Mutated Pathway Visible Neural Network Architecture for Interpretable Prediction of Cancer-specific Survival Risk
Survival risk prediction using gene expression data is important in maki...
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05/25/2021
Impact of detecting clinical trial elements in exploration of COVID-19 literature
The COVID-19 pandemic has driven ever-greater demand for tools which ena...
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02/03/2021
Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation
Public datasets are often used to evaluate the efficacy and generalizabi...
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08/20/2020
Assigning function to protein-protein interactions: a weakly supervised BioBERT based approach using PubMed abstracts
Motivation: Protein-protein interactions (PPI) are critical to the funct...
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08/18/2020
COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research
We present COVID-SEE, a system for medical literature discovery based on...
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05/04/2020
WikiUMLS: Aligning UMLS to Wikipedia via Cross-lingual Neural Ranking
We present our work on aligning the Unified Medical Language System (UML...
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12/02/2019
SemEval-2017 Task 3: Community Question Answering
We describe SemEval-2017 Task 3 on Community Question Answering. This ye...
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07/05/2019
Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings
Chemical patents are an important resource for chemical information. How...
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04/24/2019
A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data
This paper focuses on a traditional relation extraction task in the cont...
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12/29/2018
End-to-end neural relation extraction using deep biaffine attention
We propose a neural network model for joint extraction of named entities...
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08/25/2018
Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition
We compare the use of LSTM-based and CNN-based character-level word embe...
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08/11/2018
From POS tagging to dependency parsing for biomedical event extraction
Given the importance of relation or event extraction from biomedical res...
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07/11/2018
An improved neural network model for joint POS tagging and dependency parsing
We propose a novel neural network model for joint part-of-speech (POS) t...
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05/27/2018
Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings
We investigate the incorporation of character-based word representations...
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12/03/2015
Adjusting for Chance Clustering Comparison Measures
Adjusted for chance measures are widely used to compare partitions/clust...
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10/27/2015