4.8k citations · 4.8k across the 6 of their papers we have counts for
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Learning Dual Retrieval Module for Semi-supervised Relation Extraction
Hongtao Lin, Jun Yan, Meng Qu +1
Relation extraction is an important task in structuring content of text data, and becomes especially challenging when learning with weak supervision---where only a limited number o…
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning
Meng Qu, Xiang Ren, Yu Zhang +1
Extracting relations from text corpora is an important task in text mining. It becomes particularly challenging when focusing on weakly-supervised relation extraction, that is, uti…
Automatic Synonym Discovery with Knowledge Bases
Meng Qu, Xiang Ren, Jiawei Han
Recognizing entity synonyms from text has become a crucial task in many entity-leveraging applications. However, discovering entity synonyms from domain-specific text corpora (e.g.…
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding
Xiang Ren, Wenqi He, Meng Qu +3
Current systems of fine-grained entity typing use distant supervision in conjunction with existing knowledge bases to assign categories (type labels) to entity mentions. However, t…