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Ephyra - Question Answering System

  •    Java

Ephyra is a modular and extensible framework for open domain question answering (QA). The system retrieves accurate answers to natural language questions from the Web and other sources. The goal is to give researchers the opportunity to develop new QA techniques without worrying about the end-to-end system.

MySemanticSearch Sample

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MySemanticSearch is a sample content management application that demonstrates semantic search capabilities introduced in SQL Server 2012. MySemanticSearch allows you to visualize tag clouds for content stored in FileTables and find similar content using semantic search.

code_search - Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

  •    Jupyter

You can use these container to reproduce the environment the authors used for this tutorial. Incase it is helpful, I have provided a requirements.txt file, however, we highly recommend using the docker containers provided below as the dependencies can be complicated to build yourself. hamelsmu/ml-gpu: Use this container for any gpu bound parts of the tutorial. We recommend running the entire tutorial on an aws p3.8xlarge and using this image.

Semantic-Search-for-Sustainable-Development - Semantic Search for Sustainable Development is experimental code for searching documents for text that "semantically" corresponds to any of the UN's Sustainable development goals/targets

  •    Python

Semantic Search for Sustainable Development is experimental code for searching documents for text that "semantically" corresponds to any of the UN's Sustainable development goals/targets. For example, it can be used to mine the national development plan documents of a country and identify pieces of text that correspond to any of the SDGs in order to verify alignment of the plan with the SDGs.