Search Results for "text summarization java code" - Page 6
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141 programs for "text summarization java code" with 1 filter applied:
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Tomato is an experimental Java application development environment which aims to replace text-based Java programming with a point-and-click visual programming language. The prototype works sufficiently to help develop parts of itself.
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Silkworm is a java-based text (ie. code) generation tool that allows developers to specify information about the text they wish to generate in an XML file, and then specify templates that match against elements in the XML file to produce text.
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The Java Elucidator provides support for production of internal documentation following the Elucidative programming paradigm. Documentation and source code are kept seperate, but interlinked through mutual navigation in a two-frame online layout.
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XML-Lit is a simple language-independent literate programming system that works with any XML-based markup language.
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Frosttie (FROnt-end SchemaTron Text Internet Engine) takes XHTML pages and processes them with various user-definable filters such a W3C's WAI, Section 508 (US) web usability compliance, ad removal, etc. It can be used with zKnowMan.
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The main goal of this project is to create a programming editor, which allows editing the tree structure of the code instead of editing the linearization. This should be implemented using XML and XML Schemas, see homepage for details.
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HotelCalifornia is a framework for converting XML to Java objects. HC::templator2 is a template based text generator. HC::org.smpl reconstructs E-R diagrams and uses Encoders to generate JSPs, JavaBeans, HTML database documentation, etc.
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BLEURT-20-D12
Custom BLEURT model for evaluating text similarity using PyTorch
BLEURT-20-D12 is a PyTorch implementation of BLEURT, a model designed to assess the semantic similarity between two text sequences. It serves as an automatic evaluation metric for natural language generation tasks like summarization and translation. The model predicts a score indicating how similar a candidate sentence is to a reference sentence, with higher scores indicating greater semantic overlap. Unlike standard BLEURT models from TensorFlow, this version is built from a custom PyTorch... -
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gemma-7b
Compact, state-of-the-art LLM by Google for text generation tasks
Gemma-7B is a lightweight, open-source, decoder-only language model developed by Google, built using the same research and technology behind the Gemini family. With 8.5 billion parameters and an 8192-token context window, it is optimized for English text generation tasks like question answering, summarization, reasoning, and creative writing. Trained on 6 trillion tokens including web documents, code, and mathematical texts, Gemma-7B provides competitive performance across a wide range of NLP... -
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Llama-3.2-1B-Instruct
Instruction-tuned 1.2B LLM for multilingual text generation by Meta
Llama-3.2-1B-Instruct is Meta’s multilingual, instruction-tuned large language model with 1.24 billion parameters, optimized for dialogue, summarization, and retrieval tasks. It builds upon the Llama 3.1 architecture and incorporates fine-tuning techniques like SFT, DPO, and quantization-aware training for improved alignment, efficiency, and safety. The model supports eight primary languages (including English, Spanish, Hindi, and Thai) and was trained on a curated mix of publicly available... -
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Llama-2-7b-hf
Llama-2-7B is a 7B-parameter transformer model for text generation
Llama-2-7B is a foundational large language model developed by Meta as part of the Llama 2 family, designed for general-purpose text generation tasks. It is a 7 billion parameter auto-regressive transformer trained on 2 trillion tokens from publicly available sources, using an optimized architecture without Grouped-Query Attention (GQA). This model is the pretrained version, intended for research and commercial use in English, and can be adapted for downstream applications such as summarization... -
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Llama-2-7b
7B-parameter foundational LLM by Meta for text generation tasks
... processing tasks, such as summarization, completion, and code generation. It demonstrates solid performance on academic benchmarks like MMLU and TruthfulQA, improving on its predecessor, Llama 1. The Llama-2-7B model is released under Meta’s Llama 2 Community License, which allows for commercial use under certain conditions, especially for companies with fewer than 700 million MAUs. -
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Wicket Pastebin is web-based software that can be used by groups, such as IRC or IM users, to paste code, text, and screenshots for others to view. Wicket Pastebin is built with Java and utilizes the Hibernate, Spring and Wicket frameworks.
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The framework will allow you to create text based eclipse editors for your models, that automatically support semantic rich editing, with code assist, highlighting, marks, occurences, all the cool eclipse stuff.
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<a href="http://aqdhome.sourceforge.net" style="color: #996633; text-decoration: underline; font-family: verdana, sans-serif;">(old name AqDHome)</a> A collection of my windows tips, code snippet, and experimental projects.
