Papers with multilingual question answering

2 papers
XOR QA: Cross-lingual Open-Retrieval Question Answering (2021.naacl-main)

Copied to clipboard

Challenge: a dataset of 40k information-seeking questions across seven languages is used to answer multilingual question answering tasks.
Approach: They propose a task framework that allows questions from one language to be answered via answer content from another language.
Outcome: The proposed framework can be used to answer questions from one language to another . the dataset was built on 40K questions across 7 languages, but could not find same-language answers .
Automatic Spanish Translation of SQuAD Dataset for Multi-lingual Question Answering (2020.lrec-1)

Copied to clipboard

Challenge: Existing methods to train multilingual QA systems are limited for other languages . cross-lingual learning is a technique that transfers knowledge from source to target language with fewer training data.
Approach: They propose a translation method to translate the Stanford Question Answering Dataset to Spanish and a multilingual-BERT model to train Spanish QA systems.
Outcome: The proposed method outperforms the previous benchmarks for cross-lingual extractive QA.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations