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Models that accurately detect depression from text are important tools for addressing the post-pandemic mental health crisis.
Text-based depression detection on sparse data
Heinrich Dinkel, Mengyue Wu, and Kai Yu. 2019 · 1904
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Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R Thomas McCoy, Najoung Kim, Benjamin Van Durme, Samuel R Bowman, Dipanjan Das, et al. 2019 · 1905
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Do neural language representations learn physical commonsense?
Maxwell Forbes, Ari Holtzman, and Yejin Choi. 2019 · 1908
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Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019 · 1909
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Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H Miller, and Sebastian Riedel. 2019 · 1909
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Investigating bert’s knowledge of language: Five analysis methods with npis
Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng, Hagen Blix, Yining Nie, Anna Alsop, Shikha Bordia, Haokun Liu, Alicia Parrish, et al. 2019 · 1909
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, L Debut, V Sanh, J Chaumond, C Delangue, A Moi, P Cistac, T Rault, R Louf, M Funtowicz, et al. 2019 · 1910
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Hamilton depression scale
M Hamilton and W Guy. 1976 · 1976
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A new depression scale designed to be sensitive to change
Stuart A Montgomery and MARIE Åsberg. 1979 · 1979
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The language of depression
Wilma Bucci and Norbert Freedman. 1981 · 1981
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Psychometric properties of the beck depression inventory: Twenty-five years of evaluation
Aaron T Beck, Robert A Steer, and Margery G Carbin. 1988 · 1988
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Sleep loss impairs short and novel language tasks having a prefrontal focus
Yvonne Harrison and James Horne. 1998 · 1998
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The PHQ-9: validity of a brief depression severity measure
Kurt Kroenke, Robert L Spitzer, and Janet BW Williams. 2001 · 2001
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The PHQ-9: a new depression diagnostic and severity measure
Kurt Kroenke and Robert L Spitzer. 2002 · 2002
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Psychological aspects of natural language use: Our words, our selves
James W Pennebaker, Matthias R Mehl, and Kate G Niederhoffer. 2003 · 2003
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Language use of depressed and depression-vulnerable college students
Stephanie Rude, Eva-Maria Gortner, and James Pennebaker. 2004 · 2004
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Criterion validity of the french version of patient health questionnaire (phq) in a hospital department of internal medicine
Yolanda Carballeira, Patricia Dumont, Sandro Borgacci, Denis Rentsch, Nicolas de Tonnac, Marc Archinard, and Antonio Andreoli. 2007 · 2007
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The psychology of word use in depression forums in english and in spanish: Texting two text analytic approaches
Nairan Ramirez-Esparza, Cindy K Chung, Ewa Kacewicz, and James W Pennebaker. 2008 · 2008
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Validation of phq-2 and phq-9 to screen for major depression in the primary care population
Bruce Arroll, Felicity Goodyear-Smith, Susan Crengle, Jane Gunn, Ngaire Kerse, Tana Fishman, Karen Falloon, and Simon Hatcher. 2010 · 2010
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The psychological meaning of words: Liwc and computerized text analysis methods
Yla R Tausczik and James W Pennebaker. 2010 · 2010
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The secret life of pronouns
James W Pennebaker. 2011 · 2011
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Using electronic medical records to enable large-scale studies in psychiatry: treatment resistant depression as a model
RH Perlis, DV Iosifescu, VM Castro, SN Murphy, VS Gainer, Jessica Minnier, T Cai, S Goryachev, Q Zeng, PJ Gallagher, et al. 2012 · 2012
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Sentence-based model agnostic nlp interpretability
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, and Marcin Detyniecki. 2020 · 2012
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The way we refer to ourselves reflects how we relate to others: Associations between first-person pronoun use and interpersonal problems
Johannes Zimmermann, Markus Wolf, Astrid Bock, Doris Peham, and Cord Benecke. 2013 · 2013
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Are we modeling the task or the annotator? an investigation of annotator bias in natural language understanding datasets
Mor Geva, Yoav Goldberg, and Jonathan Berant. 2019 · 2019
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Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal, Tejas Khot, Aishwarya Agrawal, Douglas Summers-Stay, Dhruv Batra, and Devi Parikh. 2019 · 2019
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What twitter profile and posted images reveal about depression and anxiety
Sharath Chandra Guntuku, Daniel Preotiuc-Pietro, Johannes C Eichstaedt, and Lyle H Ungar. 2019 · 2019
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What does BERT learn about the structure of language?
Ganesh Jawahar, Benoît Sagot, and Djamé Seddah. 2019 · 2019
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Early detection of depression and treatment response prediction using machine learning: a review
Prajwal Kharel, Kalpana Sharma, Sunil Dhimal, and Sital Sharma. 2019 · 2019
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The distress analysis interview corpus of human and computer interviews
Jonathan Gratch, Ron Artstein, Gale M Lucas, Giota Stratou, Stefan Scherer, Angela Nazarian, Rachel Wood, Jill Boberg, David DeVault, Stacy Marsella, et al. 2014 · 2014
Cited alongside, same era.
Automatic audiovisual behavior descriptors for psychological disorder analysis
Stefan Scherer, Giota Stratou, Gale Lucas, Marwa Mahmoud, Jill Boberg, Jonathan Gratch, Louis-Philippe Morency, et al. 2014 · 2014
Cited alongside, same era.
Clpsych 2015 shared task: Depression and ptsd on twitter
Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead, and Margaret Mitchell. 2015 · 2015
Cited alongside, same era.
Adaptation and initial validation of the patient health questionnaire–9 (phq-9) and the generalized anxiety disorder–7 questionnaire (gad-7) in an arabic speaking lebanese psychiatric outpatient sample
Helen Sawaya, Mia Atoui, Aya Hamadeh, Pia Zeinoun, and Ziad Nahas. 2016 · 2016
Cited alongside, same era.
Depression detection via harvesting social media: A multimodal dictionary learning solution
Guangyao Shen, Jia Jia, Liqiang Nie, Fuli Feng, Cunjun Zhang, Tianrui Hu, Tat-Seng Chua, and Wenwu Zhu. 2017 · 2017
Cited alongside, same era.
Breaking NLI systems with sentences that require simple lexical inferences
Max Glockner, Vered Shwartz, and Yoav Goldberg. 2018 · 2018
Cited alongside, same era.
Annotation artifacts in natural language inference data
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel Bowman, and Noah A. Smith. 2018 · 2018
Cited alongside, same era.
Detecting cognitive impairments by agreeing on interpretations of linguistic features
Zining Zhu, Jekaterina Novikova, and Frank Rudzicz. 2019 · 2019
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Psychological interventions during covid-19: challenges for low and middle income countries
Avinash De Sousa, E Mohandas, and Afzal Javed. 2020 · 2020
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What bert is not: Lessons from a new suite of psycholinguistic diagnostics for language models
Allyson Ettinger. 2020 · 2020
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Evaluating models’ local decision boundaries via contrast sets
Matt Gardner, Yoav Artzi, Victoria Basmov, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, and Ben Zhou. 2020 · 2020
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Addressing mental health needs: an integral part of covid-19 response
Tedros Adhanom Ghebreyesus. 2020 · 2020
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Do models of mental health based on social media data generalize?
Keith Harrigian, Carlos Aguirre, and Mark Dredze. 2020 · 2020
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Early risk detection of self-harm and depression severity using bert-based transformers
Rodrigo Martınez-Castano, Amal Htait, Leif Azzopardi, and Yashar Moshfeghi. 2020 · 2020
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Beyond accuracy: Behavioral testing of NLP models with CheckList
Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin, and Sameer Singh. 2020 · 2020
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A primer in bertology: What we know about how bert works
Anna Rogers, Olga Kovaleva, and Anna Rumshisky. 2020 · 2020
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Depression risk prediction for chinese microblogs via deep-learning methods: Content analysis
Xiaofeng Wang, Shuai Chen, Tao Li, Wanting Li, Yejie Zhou, Jie Zheng, Qingcai Chen, Jun Yan, and Buzhou Tang. 2020 · 2020
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Micromodels for efficient, explainable, and reusable systems: A case study on mental health
Andrew Lee, Jonathan K. Kummerfeld, Larry An, and Rada Mihalcea. 2021 · 2021
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Robustness and sensitivity of BERT models predicting Alzheimer’s disease from text
Jekaterina Novikova. 2021 · 2021
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Cross-evaluation of social mining for classification of depressed online personas
Alina Trifan and José Luis Oliveira. 2021 · 2021
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Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment and alzheimer’s dementia
Anthony Yeung, Andrea Iaboni, Elizabeth Rochon, Monica Lavoie, Calvin Santiago, Maria Yancheva, Jekaterina Novikova, Mengdan Xu, Jessica Robin, Liam D Kaufman, et al. 2021 · 2021
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