paper-with-me

홈 › Papers

Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks

2015-09-01 · EMNLP 2015 9 · Daojian Zeng, Kang Liu, Yubo Chen, Jun Zhao
📄 PDF Abstract BibTeX

Code (1)

ShomyLiu/pytorch-relation-extraction pytorch

Tasks

Feature EngineeringRelationRelation ExtractionRelationship Extraction (Distant Supervised)

Similar Papers 제목 키워드 기반

Distant Supervision for Relation Extraction with Multi-sense Word Embedding

2018-01-01 · GWC 2018 1 · Sangha Nam, Kijong Han, Eun-Kyung Kim, Key-Sun Choi

Distant supervision can automatically generate labeled data between a large-scale corpus and a knowledge base without utilizing human efforts. Therefore, many studies have used the distant supervision approach in relatio…

RelationRelation ExtractionWord Sense Disambiguation

Distant Supervision for Sentiment Attitude Extraction

2019-09-01 · RANLP 2019 9 · Nicolay Rusnachenko, Natalia Loukachevitch, Elena Tutubalina

News articles often convey attitudes between the mentioned subjects, which is essential for understanding the described situation. In this paper, we describe a new approach to distant supervision for extracting sentiment…

Articles

Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention

2018-04-19 · Sharmistha Jat, Siddhesh Khandelwal, Partha Talukdar

Relation extraction is the problem of classifying the relationship between two entities in a given sentence. Distant Supervision (DS) is a popular technique for developing relation extractors starting with limited superv…

RelationRelation ExtractionRelationship Extraction (Distant Supervised)Sentence

Deep Ranking Based Cost-sensitive Multi-label Learning for Distant Supervision Relation Extraction

2019-07-25 · Hai Ye, Zhunchen Luo

Knowledge base provides a potential way to improve the intelligence of information retrieval (IR) systems, for that knowledge base has numerous relations between entities which can help the IR systems to conduct inferenc…

Information RetrievalMulti-Label LearningRelationRelation Extraction+1

Enhanced Distant Supervision with State-Change Information for Relation Extraction

2022-06-01 · LREC 2022 6 · Jui Shah, Dongxu Zhang, Sam Brody, Andrew McCallum

In this work, we introduce a method for enhancing distant supervision with state-change information for relation extraction. We provide a training dataset created via this process, along with manually annotated developme…

RelationRelation Extraction