MITIE is a library and collection of tools for extracting structured information from natural-language text. Its main applications are named-entity recognition and detecting relationships between entities identified in a sentence.
The project uses statistical learning techniques to train models that can recognize selected entity categories. Such models can be integrated into larger text-processing systems where a developer needs to turn unstructured sentences into named entities and relation candidates.
MITIE builds on the dlib machine learning toolkit and exposes interfaces that can be used from multiple programming environments. It is an older approach to information extraction; users evaluating a new system should compare it with modern alternatives, but the project remains relevant for understanding or maintaining existing pipelines.
This is free and open source software.
Key Features
- Provides named-entity recognition from natural-language sentences.
- Supports training custom named-entity extractors.
- Includes binary relation-detection models.
- Uses word embeddings in its feature representation.
- Employs structural support vector machines for selected learning tasks.
- Includes a streaming named-entity recognition utility.
- Exposes a C API for language bindings and integration.
- Provides interfaces for C++, C, Python, Java and R.
- Includes example programs for training and using models.
- Can learn customized extractors using labelled entity examples.
- Supports text-processing jobs where individual entities must be linked.
- Includes sample models for English and selected additional languages.
- Provides batch-oriented processing through reusable model objects.
- Offers example workflows for relation extraction from entity pairs.
- Uses standard machine-learning classifiers underneath higher-level APIs.
- Cross-platform support – runs on Linux, macOS, and Windows.
Website: github.com/mit-nlp/MITIE
Support:
Developer: Davis E. King and contributors
License: Boost Software License 1.0
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Related Software
| C++ Natural Language Processing Tools | |
|---|---|
| text2vec | Framework with API for text analysis and natural language processing |
| Moses | Statistical machine translation system |
| TiMBL | Tilburg Memory-Based Learner |
| MITIE | MIT Information Extraction |
| MeTA | Modern C++ data sciences toolkit |
| Colibri Core | Efficient n-gram & skipgram modelling on text corpora |
| CRF++ | Yet Another CRF toolkit |
| BLLIP Parser | Statistical natural language parser |
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