Dialog Relation Extraction

Dialog Relation Extraction is a sub-task in the field of Natural Language Processing aimed at predicting the types of relationships between entities mentioned in a dialogue. This task captures the potential relationships between entity pairs through multi-token mechanisms to enhance the accuracy of relation identification. Dialog Relation Extraction is typically evaluated using F1 scores under both standard and conversational settings. Its application value lies in improving the understanding and interaction effects of dialogue systems, particularly playing a crucial role in multi-turn dialogue management and information extraction.