Named entity recognition tools


The analysis of literary works has experienced a surge in computer-assisted processing. To obtain insights into the community structures and social interactions portrayed in novels, the creation of social networks from novels has gained popularity. Prodigy is an annotation tool so efficient that data scientists can do the annotation themselves, enabling a new level of rapid iteration. Whether you're working on entity recognition, intent detection or image classification, Prodigy can help you train and evaluate your models faster. Jul 15, 2018 · Founderof LightTag here. We provide a super convenient interface to do span annotations such as named entity recognition, classifications and relationships. You can work as one labeler or bring in a team and LightTag will disribute work between everyone automatically (no more selecting files and remembering what you labeled already) . The Named Entities Recognition Tool (NERT) is a tool that can mark and extract named entities (persons, locations and organisations) from a text file. The tool works by supervised learning, which means that it needs to receive a manually tagged subset of relevant material for training purposes before it can be applied to a corpus of text. Named-entity recognition platforms. Notable NER platforms include: GATE supports NER across many languages and domains out of the box, usable via a graphical interface and a Java API. OpenNLP includes rule-based and statistical named-entity recognition. SpaCy features fast statistical NER as well as an open-source named-entity visualizer.