Dialogue Act Annotation in Conversational AI
In this blog, we explore how dialogue act annotation works, why it’s critical for next-gen conversational AI, and how FlexiBench helps enterprise teams build dialogue understanding pipelines that scale with speed, structure, and context.
Semantic Role Labeling: Understanding Predicate-Argument Structures
In this blog, we unpack how SRL annotation works, why it’s essential for language comprehension, and how FlexiBench supports scalable, high-consistency SRL pipelines across enterprise NLP systems.
Coreference Resolution Annotation
In this blog, we break down what coreference annotation involves, why it’s critical for discourse-level language understanding, and how FlexiBench enables enterprise NLP teams to build scalable, compliant, and linguistically sound annotation workflows.
Syntax and Dependency Parsing Annotation
In this blog, we explore how dependency and syntactic parsing annotation works, why it’s central to advanced NLP models, and how FlexiBench enables annotation at the scale and precision demanded by real-world enterprise use cases.
Part-of-Speech (POS) Tagging: Grammatical Annotation
In this blog, we’ll explore what POS tagging is, where it’s used, why it’s more complex than it appears, and how FlexiBench supports scalable, linguistically precise, and multilingual POS annotation workflows.
Named Entity Recognition (NER): Identifying Entities in Text
In this blog, we explore what NER annotation entails, where it drives value, the challenges of building enterprise-grade NER datasets, and how FlexiBench supports large-scale, accurate, and compliant entity recognition workflows.
