Kate Niederhoffer


2019

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Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology
Kate Niederhoffer | Kristy Hollingshead | Philip Resnik | Rebecca Resnik | Kate Loveys
Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology

2018

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Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic
Kate Loveys | Kate Niederhoffer | Emily Prud’hommeaux | Rebecca Resnik | Philip Resnik
Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic

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CLPsych 2018 Shared Task: Predicting Current and Future Psychological Health from Childhood Essays
Veronica Lynn | Alissa Goodman | Kate Niederhoffer | Kate Loveys | Philip Resnik | H. Andrew Schwartz
Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic

We describe the shared task for the CLPsych 2018 workshop, which focused on predicting current and future psychological health from an essay authored in childhood. Language-based predictions of a person’s current health have the potential to supplement traditional psychological assessment such as questionnaires, improving intake risk measurement and monitoring. Predictions of future psychological health can aid with both early detection and the development of preventative care. Research into the mental health trajectory of people, beginning from their childhood, has thus far been an area of little work within the NLP community. This shared task represents one of the first attempts to evaluate the use of early language to predict future health; this has the potential to support a wide variety of clinical health care tasks, from early assessment of lifetime risk for mental health problems, to optimal timing for targeted interventions aimed at both prevention and treatment.

2017

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In your wildest dreams: the language and psychological features of dreams
Kate Niederhoffer | Jonathan Schler | Patrick Crutchley | Kate Loveys | Glen Coppersmith
Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology — From Linguistic Signal to Clinical Reality

In this paper, we provide the first quantified exploration of the structure of the language of dreams, their linguistic style and emotional content. We present a collection of digital dream logs as a viable corpus for the growing study of mental health through the lens of language, complementary to the work done examining more traditional social media. This paper is largely exploratory in nature to lay the groundwork for subsequent research in mental health, rather than optimizing a particular text classification task.