--- title: Coreference Resolution and Entity Linking type: templates category: Conversational AI cat: conversational-ai order: 810 meta_title: Coreference Entity Resolution and Linking Data Labeling Template meta_description: Template for labeling text data with coreferences to perform entity resolution and entity linking with Label Studio for your machine learning and data science projects. --- If you want to train a machine learning model to be capable of natural language understanding in the context of conversational AI, you will want to perform coreference resolution on a dataset. Use this template to assign coreferences using relations to specific entities identified in a passage of text. You can add relations to any identified region spans in Label Studio. ## Interactive Template Preview
## Labeling Configuration ```html ``` ## About the labeling configuration All labeling configurations must be wrapped in [View](/tags/view.html) tags. Use the [Labels](/tags/labels.html) control tag to specify the labels that you want to apply to text spans: ```xml ``` The [Text](/tags/text.html) object tag specifies the value of the text data: ```xml ``` To apply relations to the labeled text spans, use the labeling interface. See [Add relations between annotations](/guide/labeling.html#Add-relations-between-annotations). If you want to add labels to the relations themselves, use the [Relations](/tags/relations.html) tag. See the [Relation Extraction Template](relation_extraction.html) for more. ## Related tags - [Labels](/tags/labels.html) - [Text](/tags/text.html) - [Relations](/tags/relations.html)