# Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/learning-with-noise-enhance-distantly-supervised-relation-extraction-with/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Bingfeng Luo,Yansong Feng,Zheng Wang,Zhanxing Zhu,Songfang Huang,Rui Yan,Dongyan Zhao |
| Citations | 104 |
| DOI | 10.18653/v1/p17-1040 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.aclweb.org/anthology/P17-1040.pdf |
| OpenAlex ID | https://openalex.org/W2606901057 |
| Type | conference-paper |
| Year | 2017 |

## Paper authors

- [Bingfeng Luo](https://scholariq.org/researchers/bingfeng-luo/)

## Paper primary topic

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

## Paper topics

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Text and Document Classification Technologies](https://scholariq.org/topics/text-and-document-classification-technologies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.