paper-with-me

WebQuestions

홈페이지 · 논문 241편

The WebQuestions dataset is a question answering dataset using Freebase as the knowledge base and contains 6,642 question-answer pairs. It was created by crawling questions through the Google Suggest API, and then obtaining answers using Amazon Mechanical Turk. The original split uses 3,778 examples for training and 2,032 for testing. All answers are defined as Freebase entities. Example questions (answers) in the dataset include “Where did Edgar Allan Poe died?” (baltimore) or “What degrees did Barack Obama get?” (bachelor_of_arts, juris_doctor). Source: Question Answering with Subgraph Embeddings Image Source: Berant et al

Texts English

벤치마크

Question Answering on WebQuestions 결과 37개
KG-to-Text Generation on WebQuestions 결과 15개
Open-Domain Question Answering on WebQuestions 결과 8개
Knowledge Base Question Answering on WebQuestions 결과 1개