Resources - NLP

Videos, Slides, Case Studies and other GraphAware related resources

New Case Study

Hume for Law Enforcement

Harness connected data to safeguard your community

16 Sep 2022 casestudies Hume Law enforcement

Hume provides a single view of intelligence enabling analysts to quickly identify links and patterns of interest in the vast amounts of information they have access to. On a single canvas, analysts quickly find connections between entities, understand geographical and temporal context, and perform advanced network analysis.

Learn more about how Law enforcement agencies are already using Hume to power their intelligence analysis and achieve success.

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Knowledge Graphs Powered By NLP and Network Science

20 Oct 2020 videos NLP KG

Vlasta Kůs takes us through converting a corpus of research papers through Natural Language Processing, entity (relation) extraction and graph algorithms to highly informative connected insights organized in a knowledge graph.

Improving Information Retrieval with Knowledge Graphs and Natural Language Processing

25 Aug 2020 videos NLP search KG

Christophe Willemsen, CTO, GraphAware, explains how to apply NLP to extract entities and key phrases to build and search knowledge graphs

Connect, Enrich, Evolve: Convert Unstructured Data Silos to Knowledge Graphs

22 Aug 2018 videos KG unstructured data NLP

Dr. Alessandro Negro, Chief Scientist at GraphAware, presents on knowledge graphs at GraphTour DC.

Knowledge Graphs and Chatbots with Neo4j and Amazon Alexa

28 Mar 2018 videos KG Neo4j NLP chatbots

Knowledge Graphs are becoming the de-facto solution for managing complex aggregated knowledge, and Neo4j is the leading platform for storing and querying connected data. In this talk, Christophe will describe a graph-centric cognitive computing pipeline and detail the process from the ingestion of unstructured text up to the generation of a knowledge graph, queryable using natural language through chatbots built with IBM Watson Conversation.

Knowledge Graphs and Chatbots with Neo4j and IBM Watson

19 Dec 2017 videos KG NLP unstructured data chatbots

In this talk, Christophe will describe a graph-centric cognitive computing pipeline and detail the process from the ingestion of unstructured text up to the generation of a knowledge graph, queryable using natural language through chatbots built with IBM Watson Conversation.

Taming text with Neo4j: The Graphaware NLP Framework

05 Apr 2017 videos Neo4j NLP GraphAware unstructured data

A great part of the world’s knowledge is stored using text in natural language, but using it in an effective way is still a major challenge. Natural Language Processing (NLP) techniques provide the basis for harnessing this huge amount of data and converting it into a useful source of knowledge for further processing. By Alessandro Negro, Chief Scientist, GraphAware.