Search Results for author: Michelle Vanni

Found 4 papers, 3 papers with code

Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases

1 code implementation16 Nov 2020 Yu Gu, Sue Kase, Michelle Vanni, Brian Sadler, Percy Liang, Xifeng Yan, Yu Su

To facilitate the development of KBQA models with stronger generalization, we construct and release a new large-scale, high-quality dataset with 64, 331 questions, GrailQA, and provide evaluation settings for all three levels of generalization.

Knowledge Base Question Answering

SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery

no code implementations EMNLP 2020 Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han

To facilitate the research on studying the interplays of these two tasks, we create the first large-scale Synonym-Enhanced Set Expansion (SE2) dataset via crowdsourcing.

TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering

2 code implementations22 Dec 2018 Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian Sadler, Michelle Vanni, Jiawei Han

Our method, TaxoGen, uses term embeddings and hierarchical clustering to construct a topic taxonomy in a recursive fashion.

Databases

Mining Entity Synonyms with Efficient Neural Set Generation

1 code implementation16 Nov 2018 Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian Sadler, Jiawei Han

Mining entity synonym sets (i. e., sets of terms referring to the same entity) is an important task for many entity-leveraging applications.

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