ArticleBioinformatics (Oxford, England)2021
LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts.
Article in Bioinformatics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Characterization of Reddit Posts About Xylazine-Associated Wounds: Qualitative Study.JMIR dermatology · 2025Article
- Objectivizing issues in the diagnosis of complex rare diseases: lessons learned from testing existing diagnosis support systems on ciliopathies.BMC medical informatics and decision making · 2024Article
- Assessment of the Early Detection of Anosmia and Ageusia Symptoms in COVID-19 on Twitter: Retrospective Study.JMIR infodemiology · 2023Article
- An analysis of cannabinoid hyperemesis syndrome Reddit posts and themes.Clinical toxicology (Philadelphia, Pa.) · 2023Article
- Self-reported Xylazine Experiences: A Mixed Methods Study of Reddit Subscribers.medRxiv : the preprint server for health sciences · 2023Article
- The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection.JMIR infodemiology · 2023Article
- Evidence of the emergence of illicit benzodiazepines from online drug forums.European journal of public health · 2022Article
- Reddit discussions about buprenorphine associated precipitated withdrawal in the era of fentanyl.Clinical toxicology (Philadelphia, Pa.) · 2022Article
- Signals of increasing co-use of stimulants and opioids from online drug forum data.Harm reduction journal · 2022Article
- Mining long-COVID symptoms from Reddit: characterizing post-COVID syndrome from patient reports.JAMIA open · 2021Article
- Self-reported Xylazine Experiences: A Mixed-methods Study of Reddit Subscribers.Journal of addiction medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
summaryLexExp is an open-source, data-centric lexicon expansion system that generates spelling variants of lexical expressions in a lexicon using a phrase embedding model, lexical similarity-based natural language processing methods and a set of tunable threshold decay functions. The system is customizable, can be optimized for recall or precision and can generate variants for multi-word expressions. AVAILABILITY AND IMPLEMENTATION: Code available at: https://bitbucket.org/asarker/lexexp; data and resources available at: https://sarkerlab.org/lexexp. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.