Search Results for "text extraction" - Page 9

Showing 224 open source projects for "text extraction"

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  • 1
    MutationFinder is a biomedical natural language processing (NLP) system for extracting mentions of point mutations from free text. MutationFinder achieves high performance (99% precision, 81% recall on blind test data) as an information extraction system
    Downloads: 0 This Week
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  • 2
    PetriKit is a modular toolkit for Petri Net analysis. It allows the extraction of basic properties, extraction of invariants, and generation of reachability graph. Results can be formatted in plain text, HTML or XML files.
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  • 3
    BioCreAtIvE: Critical Assessment of Information Extraction Systems in Biology is a community wide evaluation that compares the performance of systems which automatically mine biomedical text.
    Downloads: 1 This Week
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  • 4
    This project aims to distribute a facial animation system with speech, developed to brazilian portuguese case. This system is composed by many modules: movement extraction, facial animation and speech, through a text-to-speech system.
    Downloads: 0 This Week
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  • 5
    Sinon is a Java tool that extracts textual information from Web sites. In other words, it is a tool that can be used to scrape any kind of text (HTML included) available in the Internet or in a filesystem. The extraction is driven by a XML file.
    Downloads: 0 This Week
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  • 6
    Jack is a text mode (optionally curses) CDDA extraction / MP3 encoder frontend with features like freedb query, continue mode, customizability and many more
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  • 7
    GoldSeeker is a small formatted data extraction application. It can parse informations from a text, html or other file, and export it in a database.
    Downloads: 1 This Week
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  • 8
    Web Textual eXtraction Tools C++ Parallel web crawler, noun phrase idenification, Multi-lingual Part of Speech Tagging, Tarjan's Algorithm, Co-RelationShip Mappings...
    Downloads: 0 This Week
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  • 9
    Tools for extracting and transforming XML-like mark-up, embedded in source code comments, into proper external entities or well-formed XML files. Can be used for JavaDoc-like "literate programming", or embedding other build-related or CM metadata.
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  • 10
    PxDBTOFILE is a database to file exporter in PERL. Users create XML files that are used by PxDBTOFILE to export data from a database to any number of flat text files in variable formats. Great for systems that require database extraction to flat tex
    Downloads: 0 This Week
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  • 11
    translategemma-4b-it

    translategemma-4b-it

    Lightweight multimodal translation model for 55 languages

    translategemma-4b-it is a lightweight, state-of-the-art open translation model from Google, built on the Gemma 3 family and optimized for high-quality multilingual translation across 55 languages. It supports both text-to-text translation and image-to-text extraction with translation, enabling workflows such as OCR-style translation of signs, documents, and screenshots. With a compact ~5B parameter footprint and BF16 support, the model is designed to run efficiently on laptops, desktops, and private cloud infrastructure, making advanced translation accessible without heavy hardware requirements. ...
    Downloads: 0 This Week
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  • 12

    cafetiere

    Rule-based information extraction.

    UIMA-compliant text analytics using a rule language in which to express context-sensitive constraints on syntactic and semantic text elements.
    Downloads: 0 This Week
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  • 13
    layoutlm-base-uncased

    layoutlm-base-uncased

    Multimodal Transformer for document image understanding and layout

    layoutlm-base-uncased is a multimodal transformer model developed by Microsoft for document image understanding tasks. It incorporates both text and layout (position) features to effectively process structured documents like forms, invoices, and receipts. This base version has 113 million parameters and is pre-trained on 11 million documents from the IIT-CDIP dataset. LayoutLM enables better performance in tasks where the spatial arrangement of text plays a crucial role. The model uses a standard BERT-like architecture but enriches input with 2D positional embeddings. ...
    Downloads: 0 This Week
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  • 14
    BioEval, a web-based evaluation platform for one or multiple biomedical text extraction systems and the collaborative creation of gold standards. Handles evaluation of extraction of one to many related entities, plus supporting evidence and normalization
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  • 15
    GraphSpider is a pattern matcher which searches parsed text in phrase-structure tree or dependency graph format for syntactic structures matching a set of patterns in MPL, a regexp-like pattern language. Applications: information extraction, text mining.
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  • 16
    The approach of this project is to provide a tool to analyse logfiles. You can specify rules for the extraction of information from any text files and display and browse them in a swing-based GUI.
    Downloads: 0 This Week
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  • 17
    reputron is a knowledge extraction engine platform that covers all aspect of text mining, relevance, indexing and querying on a corpus of text documents.
    Downloads: 0 This Week
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  • 18
    arachne is a C++ library for HTTP crawling, link, text and metadata extraction designed to run in a distributed environment.
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  • 19
    Unlimited-OCR

    Unlimited-OCR

    Layout-aware OCR model for multilingual document understanding

    Unlimited-OCR is Baidu’s open-source optical character recognition (OCR) model designed to accurately extract and understand text from complex documents, images, and multilingual content. Unlike traditional OCR systems that focus only on text detection and transcription, Unlimited-OCR combines advanced document parsing with language understanding, enabling it to recognize structured elements such as tables, formulas, charts, and mixed-layout documents while preserving their logical organization. ...
    Downloads: 0 This Week
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  • 20
    Qwen2.5-VL-3B-Instruct

    Qwen2.5-VL-3B-Instruct

    Qwen2.5-VL-3B-Instruct: Multimodal model for chat, vision & video

    Qwen2.5-VL-3B-Instruct is a 3.75 billion parameter multimodal model by Qwen, designed to handle complex vision-language tasks in both image and video formats. As part of the Qwen2.5 series, it supports image-text-to-text generation with capabilities like chart reading, object localization, and structured data extraction. The model can serve as an intelligent visual agent capable of interacting with digital interfaces and understanding long-form videos by dynamically sampling resolution and frame rate. It uses a SwiGLU and RMSNorm-enhanced ViT architecture and introduces mRoPE updates for robust temporal and spatial understanding. ...
    Downloads: 0 This Week
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  • 21

    Dualword-PMC

    PMC browser

    PubMed Central browser. Source code: http://github.com/dualword/dualword-pmc/
    Downloads: 0 This Week
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  • 22
    doXfolder

    doXfolder

    Document Management System

    Document Management System created using JEE6
    Downloads: 0 This Week
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  • 23
    Bio_ClinicalBERT

    Bio_ClinicalBERT

    ClinicalBERT model trained on MIMIC notes for clinical NLP tasks

    Bio_ClinicalBERT is a domain-specific language model tailored for clinical natural language processing (NLP), extending BioBERT with additional training on clinical notes. It was initialized from BioBERT-Base v1.0 and further pre-trained on all clinical notes from the MIMIC-III database (~880M words), which includes ICU patient records. The training focused on improving performance in tasks like named entity recognition and natural language inference within the healthcare domain. Notes were...
    Downloads: 0 This Week
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  • 24
    Ministral 3 3B Base 2512

    Ministral 3 3B Base 2512

    Small 3B-base multimodal model ideal for custom AI on edge hardware

    Ministral 3 3B Base 2512 is the smallest model in the Ministral 3 family, offering a compact yet capable multimodal architecture suited for lightweight AI applications. It combines a 3.4B-parameter language model with a 0.4B vision encoder, enabling both text and image understanding in a tiny footprint. As the base pretrained model, it is not fine-tuned for instructions or reasoning, making it the ideal foundation for custom post-training, domain adaptation, or specialized downstream tasks....
    Downloads: 0 This Week
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