ArticleJournal of cheminformatics2011
OSCAR4: a flexible architecture for chemical text-mining.
Article in Journal of cheminformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
64 citing papers in PubMed, 220 citations in OpenAlex.
- Prompt Engineering Accelerates the Data-Driven Discovery of Photocatalysts via an LLM-Based Model Ensemble Strategy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Tracking the Spread of Pollen on Social Media Using Pollen-Related Messages From Twitter: Retrospective Analysis.Journal of medical Internet research · 2024Article
- Semantics-enabled biomedical literature analytics.Journal of biomedical informatics · 2024Article
- Snowball 2.0: Generic Material Data Parser for ChemDataExtractor.Journal of chemical information and modeling · 2023Article
- An automated materials and processes identification tool for material informatics using deep learning approach.Heliyon · 2023Article
- Graph isomorphism-based algorithm for cross-checking chemical and crystallographic descriptions.Journal of cheminformatics · 2023Article
- An overview of biomedical entity linking throughout the years.Journal of biomedical informatics · 2023Review
- Multi-modal chemical information reconstruction from images and texts for exploring the near-drug space.Briefings in bioinformatics · 2022Article
- Dataset of solution-based inorganic materials synthesis procedures extracted from the scientific literature.Scientific data · 2022Article
- Auto-generated database of semiconductor band gaps using ChemDataExtractor.Scientific data · 2022Article
- Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science.Patterns (New York, N.Y.) · 2022Article
- MetaboListem and TABoLiSTM: Two Deep Learning Algorithms for Metabolite Named Entity Recognition.Metabolites · 2022Article
- Identification of anti-schistosomal, anthelmintic and anti-parasitic compounds curated and text-mined from the scientific literature.Wellcome open research · 2022Article
- ChemTables: a dataset for semantic classification on tables in chemical patents.Journal of cheminformatics · 2021Article
- Review
- From Tokenization to Self-Supervision: Building a High-Performance Information Extraction System for Chemical Reactions in Patents.Frontiers in research metrics and analytics · 2021Article
- Discovering and Summarizing Relationships Between Chemicals, Genes, Proteins, and Diseases in PubChem.Frontiers in research metrics and analytics · 2021Article
- ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents.Frontiers in research metrics and analytics · 2021Article
- Automated extraction of chemical synthesis actions from experimental procedures.Nature communications · 2020Article
- CoCoScore: context-aware co-occurrence scoring for text mining applications using distant supervision.Bioinformatics (Oxford, England) · 2020Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Open-Source Chemistry Analysis Routines (OSCAR) software, a toolkit for the recognition of named entities and data in chemistry publications, has been developed since 2002. Recent work has resulted in the separation of the core OSCAR functionality and its release as the OSCAR4 library. This library features a modular API (based on reduction of surface coupling) that permits client programmers to easily incorporate it into external applications. OSCAR4 offers a domain-independent architecture upon which chemistry specific text-mining tools can be built, and its development and usage are discussed.
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.