Results 41 to 50 of about 104,722,032 (302)
PosNet:Position-based Causal Relation Extraction Network [PDF]
Causal relation extraction is a natural language processing technology to extract causal entity pairs from text,which is widely used in financial,medical and other fields.Traditional causal relationship extraction technology needs to manually select text
ZHU Guang-li, XU Xin, ZHANG Shun-xiang, WU Hou-yue, HUANG Ju
doaj +1 more source
Portable extraction of partially structured facts from the web [PDF]
A novel fact extraction task is defined to fill a gap between current information retrieval and information extraction technologies. It is shown that it is possible to extract useful partially structured facts about different kinds of entities in a broad
Inguna Skadiņa +8 more
core +2 more sources
Dialogue-Based Relation Extraction [PDF]
To appear in ACL ...
Dian Yu 0001 +3 more
openaire +3 more sources
Application of Public Knowledge Discovery Tool (PKDE4J) to Represent Biomedical Scientific Knowledge
In today’s era of information explosion, extracting entities and their relations in large-scale, unstructured collections of text to better represent knowledge has emerged as a daunting challenge in biomedical text mining.
Min Song +4 more
doaj +1 more source
Enriching Relation Extraction with OpenIE
Relation extraction (RE) is a sub-discipline of information extraction (IE) which focuses on the prediction of a relational predicate from a natural-language input unit (such as a sentence, a clause, or even a short paragraph consisting of multiple sentences and/or clauses).
Alessandro Temperoni +2 more
openaire +3 more sources
An Intensive Case Study on Kernel-based Relation Extraction
Relation extraction refers to a method of efficiently detecting and identifying predefined semantic relationships within a set of entities in text documents.
최성필 +3 more
core +1 more source
Comparison of different bead-beating RNA extraction strategies: An optimized method for filamentous fungi [PDF]
Molecular studies, especially in relation to the activity of secondary metabolite gene clusters, require the ability to extract good quality RNA from fungal biomass.
Magan, Naresh +5 more
core +1 more source
Enhancing model generalization for relation extraction in biomedical domain
Shanker, Vijay K.Significant progress has been made in applying deep learning on natural language processing tasks recently. However, deep learning models typically require a large amount of annotated training data and easily overfit when the training ...
Su, Peng
core +1 more source
A relation-specific attention network for joint entity and relation extraction [PDF]
Joint extraction of entities and relations is an important task in natural language processing (NLP), which aims to capture all relational triplets from plain texts. This is a big challenge due to some of the triplets extracted from one sentence may have
Song, Zeliang +5 more
core +1 more source
Graph Adaptation Network with Domain-Specific Word Alignment for Cross-Domain Relation Extraction
Cross-domain relation extraction has become an essential approach when target domain lacking labeled data. Most existing works adapted relation extraction models from the source domain to target domain through aligning sequential features, but failed to ...
Zhe Wang +5 more
doaj +1 more source

