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  • 1
    LexiFinder

    LexiFinder

    AI-powered semantic indexing: automating the creation of book indexes

    LexiFinder is a tool to generate analytic indexes from documents automatically. Given one or more source documents and a set of keywords, it extracts all nouns, compares them semantically to the keywords using a pretrained NLP model, and produces a structured, hierarchical index ready to be included in a book or manuscript. LexiFinder works in two ways: as a command-line tool for scripting, automation, and batch processing, and as a graphical application for a guided, point-and-click...
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  • 2
    trimwise

    trimwise

    Query-aware prompt compression for high-signal LLM prompts.

    Trimwise is an extractive Python library for the step between collecting text and assembling a prompt. Give it a document, a maximum size, and optionally the task you care about. It selects useful fragments from across the document, returns them in source order, and guarantees that the measured result stays within your token, word, or character limit. This is especially useful when an agent has several sources but cannot place every source in the context window. Instead of taking the...
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  • 3
    torchtext

    torchtext

    Data loaders and abstractions for text and NLP

    We recommend Anaconda as a Python package management system. Please refer to pytorch.org for the details of PyTorch installation. LTS versions are distributed through a different channel than the other versioned releases. Alternatively, you might want to use the Moses tokenizer port in SacreMoses (split from NLTK). You have to install SacreMoses. To build torchtext from source, you need git, CMake and C++11 compiler such as g++.
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  • 4
    Transformers4Rec

    Transformers4Rec

    Transformers4Rec is a flexible and efficient library

    Transformers4Rec is an advanced recommendation system library that leverages Transformer models for sequential and session-based recommendations. The library works as a bridge between natural language processing (NLP) and recommender systems (RecSys) by integrating with one of the most popular NLP frameworks, Hugging Face Transformers (HF). Transformers4Rec makes state-of-the-art transformer architectures available for RecSys researchers and industry practitioners.
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    Ship Agents Faster

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    NLP Tasks

    NLP Tasks

    Natural Language Processing Tasks and References

    ...Individual sections link to research papers, datasets, software projects, challenges, and background material. The collection places particular emphasis on deep-learning approaches that were prominent when the repository was assembled. Rather than implementing one NLP system, it serves as a structured starting point for exploring tasks, research directions, benchmarks, and available resources.
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  • 6

    Service Grid - Language Grid Base System

    SOA infrastracture initially developed by NICT Language Grid Project

    Service Grid is an infrastructure for accumulating and sharing Web services. Resources with complicated intellectual property issues are wrapped as Web services and shared on the Service Grid. If you release your software by using the software of this project, please include the following description in the documents or on the website. * This software uses the [SOFTWARE] by the Language Grid project (http://langrid.org/). [SOFTWARE] is one of: * Service Grid Server Software...
    Downloads: 0 This Week
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  • 7

    KALIMAT Multipurpose Arabic Corpus

    A corpus that could be of help for researchers working on Arabic NLP

    KALIMAT a Multipurpose Arabic Corpus We are pleased to announce the immediate availability of KALIMAT 1.0, KALIMAT is an Arabic natural language resource that consists of: 1) 20,291 Arabic articles collected from the Omani newspaper Alwatan by (Abbas et al. 2011). 2) 20,291 Extractive Single-document system summaries. 3) 2,057 Extractive Multi-document system summaries. 4) 20,291 Named Entity Recognised articles. 5) 20,291 Part of Speech Tagged articles. 6) 20,291 Morphologically Analyse articles. ...
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    Downloads: 4 This Week
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  • 8
    G-Asks is a question generation system, developed by LATTE(Learning and Affect Technologies Engineering) research group at The University of Sydney. It uses Natural Language Processing techniques and Machine learning algorithms to generate specific trigger questions. If you use this software in a publication, please cite the paper 2. 1.Ming Liu and Rafael A. Calvo (2012) “Using Information Extraction to Generate Trigger Question for Academic Writing Support”, 11th International Conference on Intelligent Tutoring Systems, Crete, Springer LNCS 7315, p.360-369. 2.Ming Liu, Rafael A. ...
    Downloads: 0 This Week
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  • 9
    ...p=1299&lang=en How to cite the project: Boudlal, A., Lakhouaja, A., Mazroui, A., Meziane, A., Bebah, M. O. A. O., & Shoul, M. (2010). Alkhalil morpho sys1: A morphosyntactic analysis system for arabic texts. In International Arab conference on information technology (pp. 1-6). Benghazi Libya.
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    Downloads: 3 This Week
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  • 10
    Metafrastes is a natural language processing system that can take an input query from the user and translate that internally in order to communicate with a knowledge base in the form of an ontology.
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