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20182026
most citedGenerating Training Data with Language Models: Towards Zero-Shot Language Understanding

80 citations · 442 across the 35 of their papers we have counts for

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Showing 2020 · cs.CLShow all

7 papers · 2 filters

cs.CL2020

Text Classification Using Label Names Only: A Language Model Self-Training Approach

Yu Meng, Yunyi Zhang, Jiaxin Huang +4

Current text classification methods typically require a good number of human-labeled documents as training data, which can be costly and difficult to obtain in real applications. H…

cs.CL2020

CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring

Jiaxin Huang, Yiqing Xie, Yu Meng +2

Taxonomy is not only a fundamental form of knowledge representation, but also crucial to vast knowledge-rich applications, such as question answering and web search. Most existing…

cs.CL2020

Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding

Jiaxin Huang, Yu Meng, Fang Guo +2

Aspect-based sentiment analysis of review texts is of great value for understanding user feedback in a fine-grained manner. It has in general two sub-tasks: (i) extracting aspects…

cs.CL2020

Hierarchical Metadata-Aware Document Categorization under Weak Supervision

Yu Zhang, Xiusi Chen, Yu Meng +1

Categorizing documents into a given label hierarchy is intuitively appealing due to the ubiquity of hierarchical topic structures in massive text corpora. Although related studies…

cs.CL2020★ 59 cited

Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

Yu Meng, Yunyi Zhang, Jiaxin Huang +3

Mining a set of meaningful topics organized into a hierarchy is intuitively appealing since topic correlations are ubiquitous in massive text corpora. To account for potential hier…

cs.CL2020

Minimally Supervised Categorization of Text with Metadata

Yu Zhang, Yu Meng, Jiaxin Huang +3

Document categorization, which aims to assign a topic label to each document, plays a fundamental role in a wide variety of applications. Despite the success of existing studies in…