displaCy.js: An open-source NLP visualizer for the modern web

2016-10-03 · Source: Explosion · Developer tools and consulting for AI, Machine Learning and NLP - Explosion.ai · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Software Development & Engineering · Depth: Intermediate, quick

Summary

displaCy.js is an open-source, service-independent visualization library specifically designed for natural language processing (NLP) tasks, focusing on syntactic dependencies. Released to complement the growing availability of cloud APIs from providers like Google and Microsoft, which often include interactive annotation demos, displaCy.js offers a modern web-based tool. Its primary function is to facilitate the comparison of outputs from different NLP services, allowing users to evaluate various offerings side-by-side. Additionally, it enables developers and researchers to explore and visualize the annotations generated by their own in-house NLP models, providing a flexible and accessible way to understand complex linguistic structures independently.

Key takeaway

For NLP engineers evaluating various cloud API offerings or developing custom in-house models, displaCy.js provides a crucial independent visualization tool. You should integrate this open-source library to directly compare syntactic dependency outputs from services like Google and Microsoft, ensuring objective evaluation. This allows you to quickly understand and debug your own model's linguistic annotations, streamlining development and improving model transparency.

Key insights

displaCy.js provides a service-independent, open-source visualization for NLP syntactic dependencies, aiding comparison and in-house model exploration.

Principles

• Service independence enhances comparison.
• Open-source tools foster exploration.
• Visualizers aid NLP model understanding.

In practice

• Compare cloud NLP API outputs.
• Visualize in-house model annotations.
• Explore syntactic dependency structures.

Topics

• NLP Visualization
• Syntactic Dependencies
• displaCy.js
• Open-Source Libraries
• Cloud NLP APIs
• Model Evaluation

Best for: AI Scientist, Research Scientist, NLP Engineer, AI Engineer, Machine Learning Engineer

Related on AIssential

• An open-source named entity visualizer for the modern web — displaCy-ent.js provides an open-source web-based visualizer for Named Entity Recognition outputs, simplifying entity display in NLP applications.
• Revisiting Semantic Role Labeling: Efficient Structured Inference with Dependency-Informed Analysis — A new SRL framework offers explicit predicate-argument structure and 10x faster inference with modern encoders.
• Mark Neumann: ScispaCy: A spaCy pipeline & models for scientific & biomedical text — SciSpacy provides a fast, domain-specific NLP pipeline for biomedical text, overcoming general spaCy limitations with specialized models and components.
• Scripts Through Time: A Survey of the Evolving Role of Transliteration in NLP — Transliteration bridges the "script barrier" in NLP, enhancing cross-lingual transfer and efficiency, especially for low-resource languages.
• TalkTag: Fine-Grained Morphosyntactic Error Annotation for Transcribed Speech — TalkTag automates fine-grained morphosyntactic error annotation in spoken transcripts using an LLM, even with scarce data.
• Geração de consultas SPARQL a partir de linguagem natural — A domain-independent method generates SPARQL queries from Portuguese natural language using templates and a synonym dictionary.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Explosion · Developer tools and consulting for AI, Machine Learning and NLP - Explosion.ai.