Metadata-Version: 2.1
Name: forte
Version: 0.0.1a3
Summary: Forte is extensible framework for building composable and modularized NLP workflows.
Home-page: https://github.com/asyml/forte
License: Apache License Version 2.0
Description: <div align="center">
           <img src="https://raw.githubusercontent.com/asyml/forte/master/docs/_static/img/logo_h.png"><br><br>
        </div>
        
        -----------------
        
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        **Forte** is a toolkit for building Natural Language Processing pipelines, featuring cross-task 
        interaction, adaptable data-model interfaces and composable pipeline. 
        Forte was originally developed in CMU and is actively contributed by [Petuum](https://petuum.com/) 
        in collaboration with other institutes.
        This project is part of the [CASL Open Source](http://casl-project.ai/) family.
        
        Forte provides a platform to assemble
        state-of-the-art NLP and ML technologies in a highly-composable fashion, including a wide 
        spectrum of tasks ranging from Information Retrieval, Natural Language Understanding to Natural 
        Language Generation.  
        
        With Forte, it is extremely simple to build an integrated system that can search documents, 
        analyze, extract information and generate language all in one place. This allows developers
        to fully utilize the strength of individual module, combine the results from each step, and enables 
        the system to make fully informed decision at the end of the pipeline.  
        
        Forte not only makes it easy to integrate with arbitrary 3rd party tools (Check out these [examples](./examples)!),
        but also brings technology to you by offering a miscellaneous collection of deep learning modules via Texar, and 
        a convenient model-data interface for casting tasks to models.
        
        ## Core Design Principles
        
        The core design principle of Forte is the abstraction of NLP concepts and machine learning models. It 
        not only separates data, model and tasks but also enables interactions between different components of 
        the pipeline. Based on this principle, we make Forte:
        
        * **Composable**: Forte helps users to decompose a problem into *data*, *models* and *tasks*. 
        The tasks can further be divided into sub-tasks. A complex use case 
        can be solved by composing heterogeneous modules via straightforward python APIs or declarative 
        configuration files. The components (e.g. models or tasks) in the pipeline can be flexibly 
        swapped in and out, as long as the API contracts are matched. This approach greatly improves module 
        reusability, enables fast development and enhances the flexibility of using libraries.
           
        * **Generalizable and Extensible**: Forte not only generalizes well on a wide 
        range of NLP tasks, but also extends easily to new tasks or new domains. In particular, Forte 
        provides the *Ontology* system that helps users define types according to their specific tasks. 
        Users can declaratively specify the type through simple JSON files and our Code Generation tool 
        will automatically generate ready-to-use python files for your project. Check out our 
        [Ontology Generation documentation](./docs/ontology_generation.md) for more details.
        
        * **Universal Data Flow**: Forte enables a universal data flow that supports seamless data flow between
        different steps. Central to Forte's composable architecture, a transparent data flow facilitates flexible 
        process interventions and simple pipeline management. Adaptive to generic data formats, Forte is positioned as 
        a perfect tool for data inspection, component swapping and result sharing. 
        This is particularly helpful during team collaborations!
        
        -----------------
        | ![forte_arch.jpg](https://raw.githubusercontent.com/asyml/forte/master/docs/_static/img/forte_arch.png) | 
        |:--:| 
        | *A high level Architecture of Forte showing how ontology and entries work with the pipeline.* |
        -----------------
        | ![forte_results.jpg](https://raw.githubusercontent.com/asyml/forte/master/docs/_static/img/forte_results.png) | 
        |:--:| 
        | *Forte stores results in data packs and use the ontology to represent task logic.* |
        -----------------
        
        ## Package Overview
        
        <table>
        <tr>
            <td><b> forte </b></td>
            <td> an open-source toolkit for NLP  </td>
        </tr>
        <tr>
            <td><b> forte.data.readers </b></td>
            <td> a data module for reading different formats of text data like CoNLL, Ontonotes etc 
            </td>
        </tr>
        <tr>
            <td><b> forte.processors </b></td>
            <td> a collection of processors for building NLP pipelines </td>
        </tr>
        <tr>
            <td><b> forte.trainer </b></td>
            <td> a collection of modules for training different NLP tasks </td>
        </tr>
        <tr>
            <td><b> ft.onto.base_ontology </b></td>
            <td> a module containing basic ontologies like Token, Sentence, Document etc </td>
        </tr>
        </table>
        
        ### Library API Example
        
        A simple code example that runs Named Entity Recognizer
        
        ```python
        import yaml
        
        from forte.pipeline import Pipeline
        from forte.data.readers import CoNLL03Reader
        from forte.processors import CoNLLNERPredictor
        from ft.onto.base_ontology import Token, Sentence
        from forte.common.configuration import Config
        
        
        config_data = yaml.safe_load(open("config_data.yml", "r"))
        config_model = yaml.safe_load(open("config_model.yml", "r"))
        
        config = Config({}, default_hparams=None)
        config.add_hparam('config_data', config_data)
        config.add_hparam('config_model', config_model)
        
        
        pl = Pipeline()
        pl.set_reader(CoNLL03Reader())
        pl.add(CoNLLNERPredictor(), config=config)
        
        pl.initialize()
        
        for pack in pl.process_dataset(config.config_data.test_path):
            for pred_sentence in pack.get_data(context_type=Sentence, request={Token: {"fields": ["ner"]}}):
                print("============================")
                print(pred_sentence["context"])
                print("The entities are...")
                print(pred_sentence["Token"]["ner"])
                print("============================")
        
        ```
        
        Find more examples [here](./examples).
        
        ### Download and Installation
        
        To install the released version from PyPI:
        ```bash
        pip install forte
        ```
        
        To install from source, 
        ```bash
        git clone https://github.com/asyml/forte.git
        cd forte
        pip install .
        ```
        
        ### Getting Started
        
        * [Examples](./examples)
        * [Documentation](https://asyml-forte.readthedocs.io/)
        * Currently we are working on some interesting [tutorials](https://github.com/asyml/forte/wiki)
        
        ### Trouble Shooting
        1. If you try to run `generate_ontology` script but encounter the following
            ```
            Traceback (most recent call last):
              File "~/anaconda3/bin/generate_ontology", line 33, in <module>
                sys.exit(load_entry_point('forte', 'console_scripts', 'generate_ontology')())
              File "~/anaconda3/bin/generate_ontology", line 22, in importlib_load_entry_point
                for entry_point in distribution(dist_name).entry_points
              File "~/anaconda3/lib/python3.6/site-packages/importlib_metadata/__init__.py", line 418, in distribution
                return Distribution.from_name(package)
              File "~/anaconda3/lib/python3.6/site-packages/importlib_metadata/__init__.py", line 184, in from_name
                raise PackageNotFoundError(name)
            importlib_metadata.PackageNotFoundError: forte
            ```
            This is likely to be caused by multiple conflicting installation, such as
            installing both from source or from PIP. One way to solve this is to manually
            remove the script `~/anaconda3/bin/generate_ontology` and re-install the package.
        
        ### Contributing
        If you are interested in making enhancement to Forte, please first go over our [Code of Conduct](https://github.com/asyml/forte/blob/master/CODE_OF_CONDUCT.md) and [Contribution Guideline](https://github.com/asyml/forte/blob/master/CONTRIBUTING.md)
        
        ### License
        
        [Apache License 2.0](./LICENSE)
        
        ### Companies and Universities Supporting Forte
        <p float="left">
           <img src="https://raw.githubusercontent.com/asyml/forte/master/docs/_static/img/Petuum.png" width="200" align="top">
           &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
           <img src="https://asyml.io/assets/institutions/cmu.png", width="200" align="top">
        </p>
        
        
Platform: any
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Provides-Extra: nltk
Provides-Extra: ner
Provides-Extra: sentiment
Provides-Extra: txtgen
Provides-Extra: stanza
Provides-Extra: test
Provides-Extra: example
Provides-Extra: wikipedia
Provides-Extra: ir
Provides-Extra: spacy
Provides-Extra: allennlp
Provides-Extra: cliner
Provides-Extra: augment
