Search Results for author:
Found 14 papers, 9 papers with code
DoSSIER at MedVidQA 2022: Text-based Approaches to Medical Video Answer Localization Problem
We propose two answer localization approaches that use only textual information extracted from the video.
Dataset Debt in Biomedical Language Modeling
Large-scale language modeling and natural language prompting have demonstrated exciting capabilities for few and zero shot learning in NLP.
Benchmark for Research Theme Classification of Scholarly Documents
We present a new gold-standard dataset and a benchmark for the Research Theme Identification task, a sub-task of the Scholarly Knowledge Graph Generation shared task, at the 3rd Workshop on Scholarly Document Processing.
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order
Pretrained language models underpin several AI applications, but their high computational cost for training limits accessibility.
CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews
Systematic literature reviews (SLRs) play an essential role in summarising, synthesising and validating scientific evidence.
CRUISE-Screening: Living Literature Reviews Toolbox
To this end, we developed CRUISE-Screening, a web-based application for conducting living literature reviews - a type of literature review that is continuously updated to reflect the latest research in a particular field.
Effective Matching of Patients to Clinical Trials using Entity Extraction and Neural Re-ranking
Our approach involves two key components in a pipeline-based model: (i) a data enrichment technique for enhancing both queries and documents during the first retrieval stage, and (ii) a novel re-ranking schema that uses a Transformer network in a setup adapted to this task by leveraging the structure of the CT documents.
Outcome-based Evaluation of Systematic Review Automation
We find that accounting for the difference in review outcomes leads to a different assessment of the quality of a system than if traditional evaluation measures were used.
Statute-enhanced lexical retrieval of court cases for COLIEE 2022
We discuss our experiments for COLIEE Task 1, a court case retrieval competition using cases from the Federal Court of Canada.
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions.
BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing
Training and evaluating language models increasingly requires the construction of meta-datasets --diverse collections of curated data with clear provenance.
ORCAS-I: Queries Annotated with Intent using Weak Supervision
User intent classification is an important task in information retrieval.
Ranked #1 on
Intent Classification
on ORCAS-I
Automation of Citation Screening for Systematic Literature Reviews using Neural Networks: A Replicability Study
In this work, we conduct a replicability study of the first two deep learning papers for citation screening and evaluate their performance on 23 publicly available datasets.
External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway
This paper evaluates the impact of various event extraction systems on automatic pathway curation using the popular mTOR pathway.
