Natural Language Processing

CogComp-NLP – state-of-the-art Natural Language Processing (NLP) tools

CogComp-NLP provides a suite of state-of-the-art Natural Language Processing (NLP) tools that allows you to annotate plain text inputs.

There’s a JVM API and a Python API.

CogComp NLP Pipeline bundles some basic preprocessing steps that a lot of NLP applications need, with the goal of making them run locally.

CogComp Corpusreaders includes NLP Corpus readers that reads into datastructures provided by the cogcomp-core-utilities package.

CogComp’s main NLP libraries provide the following modules – test an NLP annotator.

  • nlp-pipeline – provides an end-to-end NLP processing application that runs a variety of NLP tools on input text.
  • core-utilities – provides a set of NLP-friendly data structures and a number of NLP-related utilities that support writing NLP applications, running experiments, etc.
  • corpusreaders – provides classes to read documents from corpora into core-utilities data structures.
  • curator – supports use of CogComp NLP Curator, a tool to run NLP applications as services.
  • edison – a library for feature extraction from core-utilities data structures. Edison is a feature extraction framework that uses the data structures of core-utilities to extract features used in NLP applications. The library is using a Feature Extraction Language (FEX) as a declarative way of defining features.
  • lemmatizer – an application that uses WordNet and simple rules to find the root forms of words in plain text.
  • tokenizer – an application that identifies sentence and word boundaries in plain text.
  • transliteration – an application that transliterates names between different scripts.
  • pos – an application that identifies the part of speech (e.g. verb + tense, noun + number) of each word in plain text.
  • ner – an application that identifies named entities in plain text according to two different sets of categories.
  • md – an application that identifies entity mentions in plain text.
  • relation-extraction – an application that identifies entity mentions, then identify relation pairs among the mentions detected.
  • quantifier – this tool detects mentions of quantities in the text, as well as normalizes it to a standard form.
  • inference – a suite of unified wrappers to a set optimization libraries, as well as some basic approximate solvers.
  • depparse – an application that identifies the dependency parse tree of a sentence.
  • verbsense – this system addresses the verb sense disambiguation (VSD) problem for English.
  • prepsrl – an application that identifies semantic relations expressed by prepositions and develops statistical learning models for predicting the relations.
  • commasrl – this software extracts relations that commas participate in.
  • similarity – this software compare objects –especially Strings– and return a score indicating how similar they are.
  • temporal-normalizer – a temporal extractor and normalizer.
  • dataless-classifier – classifies text into a user-specified label hierarchy from just the textual label descriptions
  • external-annotators – a collection useful external annotators.

Support: GitHub Code Repository
Developer: Cognitive Computation Group
License: Research and Academic Use License

CogComp-NLP is written in Java. Learn Java with our recommended free books and free tutorials.

Return to Java Natural Language Tools

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