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Found 17 papers, 5 papers with code
A Whole-Person Function Dictionary for the Mobility, Self-Care and Domestic Life Domains: a Seedset Expansion Approach
Whole-person functional limitations in the areas of mobility, self-care and domestic life affect a majority of individuals with disabilities.
QA4IE: A Quality Assurance Tool for Information Extraction
In this paper we contribute QA4IE, a comprehensive QA tool for information extraction, which can (1) detect potential problems in text annotations in a timely manner, (2) accurately assess the quality of annotations, (3) visually display and summarize annotation discrepancies among annotation team members, (4) provide a comprehensive statistics report, and (5) support viewing of annotated documents interactively.
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires
In dataset-transfer experiments on three social media datasets, we find that grounding the model in PHQ9's symptoms substantially improves its ability to generalize to out-of-distribution data compared to a standard BERT-based approach.
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
However, sparsity in representation decoding does not necessarily imply sparsity in the encoding of representations from the original data features.
Development of Natural Language Processing Tools to Support Determination of Federal Disability Benefits in the U.S.
The disability benefits programs administered by the US Social Security Administration (SSA) receive between 2 and 3 million new applications each year.
Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity
The detection of online cyberbullying has seen an increase in societal importance, popularity in research, and available open data.
Classifying the reported ability in clinical mobility descriptions
Finally, we highlight several challenges in classifying performance assertions, including capturing information about sources of assistance, incorporating syntactic structure and negation scope, and handling new modalities at test time.
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses
Self-reported diagnosis statements have been widely employed in studying language related to mental health in social media.
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions
Mental health is a significant and growing public health concern.
Automatic Detection of Cyberbullying in Social Media Text
While social media offer great communication opportunities, they also increase the vulnerability of young people to threatening situations online.
The GW/LT3 VarDial 2016 Shared Task System for Dialects and Similar Languages Detection
This paper describes the GW/LT3 contribution to the 2016 VarDial shared task on the identification of similar languages (task 1) and Arabic dialects (task 2).
Recognising suicidal messages in Dutch social media
The best relevance classification is achieved by using SVM with post length, lemma and character ngrams, resulting in an F-score of 85. 6{\%} (78. 7{\%} precision and 93. 8{\%} recall).
Towards Shared Datasets for Normalization Research
We focus on both the word and character level and find that we can improve the BLEU score with ca.
