Entity Relation Extraction
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Research on Entity Relation Extraction for Military Field
The purpose of entity relation extraction is to obtain the relation between named entities from the text. However,most of the researches fo- cus on the tourism, music, medical and other …...
Entity-Relation Extraction as Multi-Turn Question Answering
AbstractIn this paper, we propose a new paradigm for the task of entity-relation extraction. We cast the task as a multi-turn question answering problem, i.e., the extraction of entities and …...
Pre-training Entity Relation Encoder with Intra-span and Inter-span Information
AbstractIn this paper, we integrate span-related information into pre-trained encoder for entity relation extraction task. Instead of using general-purpose sentence encoder (e.g., existing universal pre-trained models), we introduce a span …...
UniRE: A Unified Label Space for Entity Relation Extraction
AbstractMany joint entity relation extraction models setup two separated label spaces for the two sub-tasks (i.e., entity detection and relation classification). We argue that this setting may hinder the information …...
Applying Information Extraction to Storybook Question and Answer Generation
AbstractFor educators, how to generate high quality question-answer pairs from story text is a time-consuming and labor-intensive task. The purpose is not to make students unable to answer, but to …...
A Distantly-Supervised Relation Extraction Method Based on Selective Gate and Noise Correction
Abstract“Entity relation extraction, as a core task of information extraction, aims to predict the relation ofentity pairs identified by text, and its research results are applied to various fields. To …...