Results 1 to 10 of about 40,386 (82)

Calibration of Transformer-based Models for Identifying Stress and Depression in Social Media [PDF]

, 2023
In today's fast-paced world, the rates of stress and depression present a surge. Social media provide assistance for the early detection of mental health conditions. Existing methods mainly introduce feature extraction approaches and train shallow machine learning classifiers. Other researches use deep neural networks or transformers.
arxiv   +1 more source

Social Media Reveals Urban-Rural Differences in Stress across China [PDF]

arXiv, 2021
Modeling differential stress expressions in urban and rural regions in China can provide a better understanding of the effects of urbanization on psychological well-being in a country that has rapidly grown economically in the last two decades. This paper studies linguistic differences in the experiences and expressions of stress in urban-rural China ...
arxiv  

Representing 'how you say' with 'what you say': English corpus of focused speech and text reflecting corresponding implications [PDF]

arXiv, 2022
In speech communication, how something is said (paralinguistic information) is as crucial as what is said (linguistic information). As a type of paralinguistic information, English speech uses sentence stress, the heaviest prominence within a sentence, to convey emphasis.
arxiv  

Char-RNN for Word Stress Detection in East Slavic Languages [PDF]

2019, In Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects, pages 35-41,TOBEFILLED-Ann Arbor, Michigan, Association for Computational Linguistics, 2019
We explore how well a sequence labeling approach, namely, recurrent neural network, is suited for the task of resource-poor and POS tagging free word stress detection in the Russian, Ukranian, Belarusian languages. We present new datasets, annotated with the word stress, for the three languages and compare several RNN models trained on three languages ...
arxiv   +1 more source

LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment [PDF]

IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP 2020), 2020
Veteran mental health is a significant national problem as large number of veterans are returning from the recent war in Iraq and continued military presence in Afghanistan. While significant existing works have investigated twitter posts-based Post Traumatic Stress Disorder (PTSD) assessment using blackbox machine learning techniques, these frameworks
arxiv  

Compositional Evaluation on Japanese Textual Entailment and Similarity [PDF]

arXiv, 2022
Natural Language Inference (NLI) and Semantic Textual Similarity (STS) are widely used benchmark tasks for compositional evaluation of pre-trained language models. Despite growing interest in linguistic universals, most NLI/STS studies have focused almost exclusively on English.
arxiv  

O-Dang! The Ontology of Dangerous Speech Messages [PDF]

arXiv, 2022
Inside the NLP community there is a considerable amount of language resources created, annotated and released every day with the aim of studying specific linguistic phenomena. Despite a variety of attempts in order to organize such resources has been carried on, a lack of systematic methods and of possible interoperability between resources are still ...
arxiv  

Querying with Łukasiewicz logic [PDF]

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp.1-8, 2015
In this paper we present, by way of case studies, a proof of concept, based on a prototype working on a automotive data set, aimed at showing the potential usefulness of using formulas of {\L}ukasiewicz propositional logic to query databases in a fuzzy way.
arxiv   +1 more source

Computing sets of graded attribute implications with witnessed non-redundancy [PDF]

Information Sciences 351 (2016), 90-100, 2015
In this paper we extend our previous results on sets of graded attribute implications with witnessed non-redundancy. We assume finite residuated lattices as structures of truth degrees and use arbitrary idempotent truth-stressing linguistic hedges as parameters which influence the semantics of graded attribute implications.
arxiv   +1 more source

Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference [PDF]

arXiv, 2021
Multilingual transformers (XLM, mT5) have been shown to have remarkable transfer skills in zero-shot settings. Most transfer studies, however, rely on automatically translated resources (XNLI, XQuAD), making it hard to discern the particular linguistic knowledge that is being transferred, and the role of expert annotated monolingual datasets when ...
arxiv