Results 31 to 40 of about 11,850,628 (306)

Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing

open access: yesProceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Accepted at EACL2023 to be held in Croatia ...
Jivnesh Sandhan   +2 more
openaire   +2 more sources

Clinical bacteriology in low-resource settings: today's solutions [PDF]

open access: yes, 2018
Low-resource settings are disproportionately burdened by infectious diseases and antimicrobial resistance. Good quality clinical bacteriology through a well functioning reference laboratory network is necessary for effective resistance control, but low ...
Ombelet, S   +25 more
core   +1 more source

Concept Matching for Low-Resource Classification [PDF]

open access: yes2021 International Joint Conference on Neural Networks (IJCNN), 2021
We propose a model to tackle classification tasks in the presence of very little training data. To this aim, we approximate the notion of exact match with a theoretically sound mechanism that computes a probability of matching in the input space. Importantly, the model learns to focus on elements of the input that are relevant for the task at hand; by ...
Federico Errica   +6 more
openaire   +5 more sources

Transplantation in Low Resource Countries

open access: yesThalassemia Reports, 2011
Thalassemia major (TM) is the most common deadly genetic disorder, a major cause of chronic non-infectious morbidity and financial burden in many low and middle-income regions. In these settings few children reach adulthood because proper long-term supportive care is seldom available.
Faulkner, L.   +6 more
openaire   +4 more sources

A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages [PDF]

open access: yesProceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019
EMNLP ...
Vania, Clara   +3 more
openaire   +6 more sources

Low-Resource Semantic Role Labeling [PDF]

open access: yesProceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014
We explore the extent to which highresource manual annotations such as treebanks are necessary for the task of semantic role labeling (SRL). We examine how performance changes without syntactic supervision, comparing both joint and pipelined methods to induce latent syntax.
Matthew R. Gormley   +3 more
openaire   +1 more source

Low cost handheld spectral imager for rapid skin assessment in low resource settings

open access: yes, 2020
Spatial Frequency Domain Imaging (SFDI) is a quantitative imaging method that measures optical properties of tissue. We present the design of a compact spectral imager to perform SFDI in low resource settings, which exploits a low-cost color CMOS camera ...
Jonasson, Hanna,   +3 more
core   +1 more source

Low-Resource Neural Headline Generation [PDF]

open access: yesProceedings of the Workshop on New Frontiers in Summarization, 2017
Recent neural headline generation models have shown great results, but are generally trained on very large datasets. We focus our efforts on improving headline quality on smaller datasets by the means of pretraining. We propose new methods that enable pre-training all the parameters of the model and utilize all available text, resulting in improvements
Ottokar Tilk, Tanel Alumäe
openaire   +3 more sources

Predicting stillbirth in a low resource setting [PDF]

open access: yesBMC Pregnancy and Childbirth, 2016
الإملاص هو المساهم الرئيسي في وفيات الفترة المحيطة بالولادة وهو شائع بشكل خاص في البلدان المنخفضة والمتوسطة الدخل، حيث تحدث سنويًا حوالي ثلاثة ملايين ولادة ميتة في الثلث الثالث من الحمل. تهدف هذه الدراسة إلى تطوير نموذج تنبؤي للكشف المبكر عن حالات الحمل المعرضة لخطر كبير للإملاص. فحصت هذه الدراسة الأترابية بأثر رجعي 6573 امرأة حامل ولدن في المركز الطبي
Gbenga A Kayode   +6 more
openaire   +2 more sources

Data augmentation for low resource languages [PDF]

open access: yesInterspeech 2014, 2014
Recently there has been interest in the approaches for training speech recognition systems for languages with limited resources. Under the IARPA Babel program such resources have been provided for a range of languages to support this research area.
Ragni, A.   +3 more
openaire   +4 more sources

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