6 papers · 1 filter
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion
Pei Chen, Wenlin Yao, Hongming Zhang +4
Knowledge base completion (KBC) aims to predict the missing links in knowledge graphs. Previous KBC tasks and approaches mainly focus on the setting where all test entities and rel…
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References
Xiang Yue, Xiaoman Pan, Wenlin Yao +3
We consider the problem of pretraining a two-stage open-domain question answering (QA) system (retriever + reader) with strong transfer capabilities. The key challenge is how to co…
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories
Wenlin Yao, Xiaoman Pan, Lifeng Jin +3
Word Sense Disambiguation (WSD) aims to automatically identify the exact meaning of one word according to its context. Existing supervised models struggle to make correct predictio…
Improving Question Answering with External Knowledge
Xiaoman Pan, Kai Sun, Dian Yu +4
We focus on multiple-choice question answering (QA) tasks in subject areas such as science, where we require both broad background knowledge and the facts from the given subject-ar…
Describing a Knowledge Base
Qingyun Wang, Xiaoman Pan, Lifu Huang +4
We aim to automatically generate natural language descriptions about an input structured knowledge base (KB). We build our generation framework based on a pointer network which can…
Building a Fine-Grained Entity Typing System Overnight for a New X (X = Language, Domain, Genre)
Lifu Huang, Jonathan May, Xiaoman Pan +1
Recent research has shown great progress on fine-grained entity typing. Most existing methods require pre-defining a set of types and training a multi-class classifier from a large…