Towards Intention Understanding in Suicidal Risk Assessment with Natural Language Processing

Shaoxiong Ji

Towards Intention Understanding in Suicidal Risk Assessment with Natural Language Processing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	Findings of the Association for Computational Linguistics : EMNLP 2022
Editors	Yoav Goldberg, Zornitsa Kozareva, Yue Zhang
Number of pages	11
Place of Publication	Stroudsburg
Publisher	The Association for Computational Linguistics
Publication date	2022
Pages	4057-4067
Publication status	Published - 2022
Externally published	Yes
MoE publication type	A4 Article in conference proceedings
Event	Findings of the Association for Computational Linguistics: EMNLP 2022 - Abu Dhabi, United Arab Emirates Duration: 7 Dec 2022 → 11 Dec 2022

Fields of Science

113 Computer and information sciences
3142 Public health care science, environmental and occupational health

Access to Document

2022.findings-emnlp.297Final published version, 297 KBLicence: CC BY

Cite this

@inproceedings{e55a9f598f7a473383984927b0e06895,

title = "Towards Intention Understanding in Suicidal Risk Assessment with Natural Language Processing",

keywords = "113 Computer and information sciences, 3142 Public health care science, environmental and occupational health",

author = "Shaoxiong Ji",

year = "2022",

language = "English",

pages = "4057--4067",

editor = "Goldberg, {Yoav } and Kozareva, {Zornitsa } and Yue Zhang",

booktitle = "Findings of the Association for Computational Linguistics",

publisher = "The Association for Computational Linguistics",

address = "United States",

note = "Findings of the Association for Computational Linguistics : EMNLP 2022 ; Conference date: 07-12-2022 Through 11-12-2022",

}

Ji, S 2022, Towards Intention Understanding in Suicidal Risk Assessment with Natural Language Processing. in Y Goldberg, Z Kozareva & Y Zhang (eds), Findings of the Association for Computational Linguistics: EMNLP 2022. The Association for Computational Linguistics, Stroudsburg, pp. 4057-4067, Findings of the Association for Computational Linguistics, Abu Dhabi, United Arab Emirates, 07/12/2022.

Towards Intention Understanding in Suicidal Risk Assessment with Natural Language Processing. / Ji, Shaoxiong.
Findings of the Association for Computational Linguistics: EMNLP 2022. ed. / Yoav Goldberg; Zornitsa Kozareva; Yue Zhang. Stroudsburg: The Association for Computational Linguistics, 2022. p. 4057-4067.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Towards Intention Understanding in Suicidal Risk Assessment with Natural Language Processing

AU - Ji, Shaoxiong

PY - 2022

Y1 - 2022

KW - 113 Computer and information sciences

KW - 3142 Public health care science, environmental and occupational health

M3 - Conference contribution

SP - 4057

EP - 4067

BT - Findings of the Association for Computational Linguistics

A2 - Goldberg, Yoav

A2 - Kozareva, Zornitsa

A2 - Zhang, Yue

PB - The Association for Computational Linguistics

CY - Stroudsburg

T2 - Findings of the Association for Computational Linguistics

Y2 - 7 December 2022 through 11 December 2022

ER -