Results 281 to 290 of about 5,797,629 (324)

Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction

Conference on Empirical Methods in Natural Language Processing, 2023
Few-shot relation extraction involves identifying the type of relationship between two specific entities within a text, using a limited number of annotated samples.
Xilai Ma, Jing Li, Min Zhang
semanticscholar   +1 more source

Extractive Relations

2017
Extractive Relations explores the nature of industrial power and its role in shaping what we understand to be the global mining sector. The authors examine issues at the forefront of contemporary debates: corporate obligations in safeguarding the rights of people displaced by mining, the recognition of community rights and interests in supporting or ...
Owen, John R., Kemp, Deanna
openaire   +2 more sources

Exploring Privileged Features for Relation Extraction With Contrastive Student-Teacher Learning

IEEE Transactions on Knowledge and Data Engineering, 2023
Significant progress has been made by joint entity and relation extraction methods, which directly generate the relation triplets and mitigate the issue of overlapping relations.
Xiaoyan Zhao, Min Yang, Qiang Qu, Ruifeng Xu, Jieke Li   +4 more
semanticscholar   +1 more source

AutoRE: Document-Level Relation Extraction with Large Language Models

Annual Meeting of the Association for Computational Linguistics
Large Language Models (LLMs) have demonstrated exceptional abilities in comprehending and generating text, motivating numerous researchers to utilize them for Information Extraction (IE) purposes, including Relation Extraction (RE).
Lilong Xue, Dan Zhang, Yuxiao Dong, Jie Tang   +3 more
semanticscholar   +1 more source

An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction

AAAI Conference on Artificial Intelligence
In this paper, we propose a novel method for joint entity and relation extraction from unstructured text by framing it as a conditional sequence generation problem.
Urchade Zaratiana, Nadi Tomeh, Pierre Holat, Thierry Charnois   +3 more
semanticscholar   +1 more source

RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports

Annual Meeting of the Association for Computational Linguistics
In order to enable extraction of structured clinical data from unstructured radiology reports, we introduce RadGraph-XL, a large-scale, expert-annotated dataset for clinical entity and relation extraction. RadGraph-XL consists of 2,300 radiology reports,
Jean-Benoit Delbrouck, Pierre J. Chambon, Zhihong Chen, M. Varma, Andrew Johnston, L. Blankemeier, Dave Van Veen, Tan Bui, S. Truong, C. Langlotz   +9 more
semanticscholar   +1 more source

Extracting multi-dimensional relations

Proceedings of the 20th ACM international conference on Information and knowledge management, 2011
Extracting relations among different entities from various data sources has been an important topic in data mining. While many methods focus only on a single type of relations, real world entities maintain relations that contain much richer information.
Ching-man Au Yeung, Tomoharu Iwata
openaire   +1 more source

Extraction and grammatical relations

Lingua, 1988
Abstract The paper offers a new approach to extraction structures (topicalisation, wh -movement, etc.), in which all the work is done by grammatical relations. The analysis is based on Word Grammar, so the grammatical relations between the extracted item and its ‘true’ head are shown directly. The relations between its surface position and this word
openaire   +1 more source

Neuro-Symbolic Relation Extraction

Neuro-symbolic relation extraction lies at the intersection of neural networks and symbolic reasoning, presenting promising opportunities to enhance the capabilities of natural language processing (NLP) systems. Despite its potential, a comprehensive review of how these systems are developed and applied to the task of relation extraction has been ...
Yan, Xi, Usmanova, Aida, Möller, Cedric, Westphal, Patrick, Usbeck, Ricardo   +4 more
openaire   +2 more sources

Key Relation Extraction from Biomedical Publications

2017
Within the large body of biomedical knowledge, recent findings and discoveries are most often presented as research articles. Their number has been increasing sharply since the turn of the century, presenting ever-growing challenges for search and discovery of knowledge and information related to specific topics of interest, even with the help of ...
Lan, Huang, Ye, Wang, Leiguang, Gong, Casimir, Kulikowski, Tian, Bai   +4 more
openaire   +2 more sources