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Related papers: Opioid Named Entity Recognition (ONER-2025) from R…

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Substance use disorders (SUDs) are a growing concern globally, necessitating enhanced understanding of the problem and its trends through data-driven research. Social media are unique and important sources of information about SUDs,…

Computation and Language · Computer Science 2024-05-13 Yao Ge , Sudeshna Das , Karen O'Connor , Mohammed Ali Al-Garadi , Graciela Gonzalez-Hernandez , Abeed Sarker

Nonmedical opioid use is an urgent public health challenge, with far-reaching clinical and social consequences that are often underreported in traditional healthcare settings. Social media platforms, where individuals candidly share…

Computation and Language · Computer Science 2025-08-28 Sumon Kanti Dey , Jeanne M. Powell , Azra Ismail , Jeanmarie Perrone , Abeed Sarker

Opioid use disorder (OUD) is a leading health problem that affects individual well-being as well as general public health. Due to a variety of reasons, including the stigma faced by people using opioids, online communities for recovery and…

Social and Information Networks · Computer Science 2025-04-14 Tanmay Laud , Akadia Kacha-Ochana , Steven A. Sumner , Vikram Krishnasamy , Royal Law , Lyna Schieber , Munmun De Choudhury , Mai ElSherief

The opioid epidemic, referring to the growing hospitalizations and deaths because of overdose of opioid usage and addiction, has become a severe health problem in the United States. Many strategies have been developed by the federal and…

Computation and Language · Computer Science 2024-09-11 Yuchen Wang , Zhengyu Fang , Wei Du , Shuai Xu , Rong Xu , Jing Li

In the last decade, the United States has lost more than 500,000 people from an overdose involving prescription and illicit opioids making it a national public health emergency (USDHHS, 2017). Medical practitioners require robust and timely…

Computation and Language · Computer Science 2024-06-17 Chenghao Yang , Tuhin Chakrabarty , Karli R Hochstatter , Melissa N Slavin , Nabila El-Bassel , Smaranda Muresan

The complex unfolding of the US opioid epidemic in the last 20 years has been the subject of a large body of medical and pharmacological research, and it has sparked a multidisciplinary discussion on how to implement interventions and…

Computers and Society · Computer Science 2021-02-23 Duilio Balsamo , Paolo Bajardi , Alberto Salomone , Rossano Schifanella

In the last decade drug overdose deaths reached staggering proportions in the US. Besides the raw yearly deaths count that is worrisome per se, an alarming picture comes from the steep acceleration of such rate that increased by 21% from…

Computers and Society · Computer Science 2019-04-02 Duilio Balsamo , Paolo Bajardi , André Panisson

The rising rate of drug-related deaths in the United States, largely driven by fentanyl, requires timely and accurate surveillance. However, critical overdose data are often buried in free-text coroner reports, leading to delays and…

Drug overdose remains a critical global health issue, often driven by misuse of opioids, painkillers, and psychiatric medications. Traditional research methods face limitations, whereas social media offers real-time insights into…

Computation and Language · Computer Science 2025-07-16 Muhammad Ahmad , Fida Ullah , Muhammad Usman , Umyh Habiba , ldar Batyrshin , Grigori Sidorov

Opioid related aberrant behaviors (ORABs) present novel risk factors for opioid overdose. This paper introduces a novel biomedical natural language processing benchmark dataset named ODD, for ORAB Detection Dataset. ODD is an…

Computation and Language · Computer Science 2024-03-26 Sunjae Kwon , Xun Wang , Weisong Liu , Emily Druhl , Minhee L. Sung , Joel I. Reisman , Wenjun Li , Robert D. Kerns , William Becker , Hong Yu

Physicians learn primarily about illicit drugs from clinical overdose cases, limiting their understanding of real-world usage. Meanwhile, drug users share first-hand experiences online, offering insights into dosage and effects of drugs. To…

Computation and Language · Computer Science 2026-05-27 Zewei Wang , Zihan Xu , Yishu Wei , Michael Chary , Yifan Peng

Named Entity Recognition and Disambiguation (NERD) systems are foundational for information retrieval, question answering, event detection, and other natural language processing (NLP) applications. We introduce TweetNERD, a dataset of 340K+…

Computation and Language · Computer Science 2022-10-18 Shubhanshu Mishra , Aman Saini , Raheleh Makki , Sneha Mehta , Aria Haghighi , Ali Mollahosseini

Named Entity Recognition (NER) plays a pivotal role in various Natural Language Processing (NLP) tasks by identifying and classifying named entities (NEs) from unstructured data into predefined categories such as person, organization,…

Recognizing entities in texts is a central need in many information-seeking scenarios, and indeed, Named Entity Recognition (NER) is arguably one of the most successful examples of a widely adopted NLP task and corresponding NLP technology.…

Computation and Language · Computer Science 2023-10-24 Uri Katz , Matan Vetzler , Amir DN Cohen , Yoav Goldberg

The growing availability of online support groups has opened up new windows to study mental health through natural language processing (NLP). However, it is hindered by a lack of high-quality, well-validated datasets. Existing studies have…

Computation and Language · Computer Science 2026-04-28 Khalid Hasan , Jamil Saquer

Recent progress in language model pre-training has led to important improvements in Named Entity Recognition (NER). Nonetheless, this progress has been mainly tested in well-formatted documents such as news, Wikipedia, or scientific…

Computation and Language · Computer Science 2022-11-16 Asahi Ushio , Leonardo Neves , Vitor Silva , Francesco Barbieri , Jose Camacho-Collados

Increasing rates of opioid drug abuse and heightened prevalence of online support communities underscore the necessity of employing data mining techniques to better understand drug addiction using these rapidly developing online resources.…

Social and Information Networks · Computer Science 2019-03-12 John Lu , Sumati Sridhar , Ritika Pandey , Mohammad Al Hasan , George Mohler

Depression is a widespread mental health issue, affecting an estimated 3.8% of the global population. It is also one of the main contributors to disability worldwide. Recently it is becoming popular for individuals to use social media…

Computation and Language · Computer Science 2024-03-21 Ziyi Chen , Ren Yang , Sunyang Fu , Nansu Zong , Hongfang Liu , Ming Huang

Social media platforms have become valuable tools for understanding public health challenges by offering insights into patient behaviors, medication use, and mental health issues. However, analyzing such data remains difficult due to the…

Social and Information Networks · Computer Science 2025-08-15 Muhammad Ahmad , Fida Ullah , Muhammad Usman , Ildar Batyrshin , Grigori Sidorov

Background: One of the key FDA-approved medications for Opioid Use Disorder (OUD) is buprenorphine. Despite its popularity, individuals often report various information needs regarding buprenorphine treatment on social media platforms like…

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