69 citations · 146 across the 12 of their papers we have counts for
14 papers · 1 filter
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
Xuming Hu, Shiao Meng, Chenwei Zhang +4
Information Extraction (IE) aims to extract structured information from heterogeneous sources. IE from natural language texts include sub-tasks such as Named Entity Recognition (NE…
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
Hoang Nguyen, Chenwei Zhang, Congying Xia +1
Few-shot Intent Detection is challenging due to the scarcity of available annotated utterances. Although recent works demonstrate that multi-level matching plays an important role…
Semi-supervised Relation Extraction via Incremental Meta Self-Training
Xuming Hu, Chenwei Zhang, Fukun Ma +3
To alleviate human efforts from obtaining large-scale annotations, Semi-Supervised Relation Extraction methods aim to leverage unlabeled data in addition to learning from limited s…
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision
Yuning Mao, Tong Zhao, Andrey Kan +4
Taxonomies have found wide applications in various domains, especially online for item categorization, browsing, and search. Despite the prevalent use of online catalog taxonomies,…
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection
Congying Xia, Chenwei Zhang, Hoang Nguyen +2
In this paper, we formulate a more realistic and difficult problem setup for the intent detection task in natural language understanding, namely Generalized Few-Shot Intent Detecti…
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction
Xuming Hu, Chenwei Zhang, Yusong Xu +2
Open relation extraction is the task of extracting open-domain relation facts from natural language sentences. Existing works either utilize heuristics or distant-supervised annota…