Papers by Sixing Lu

GenGO

Omakase Read Later

Search

Papers by Sixing Lu

EMNLP

2023.emnlp-industry

Alexa
query reformulation
cross-lingual QR framework
CL-QR
Module-wise Mutually-supervised Feedback learning
MMF
spoken language comprehension
multilingual queries
offline evaluation
online A/

2023

Multilinguality

1 papers

CL-QR: Cross-Lingual Enhanced Query Reformulation for Multi-lingual Conversational AI Agents (2023.emnlp-industry)

Copied to clipboard

Zhongkai Sun, Zhengyang Zhao, Sixing Lu, Chengyuan Ma, Xiaohu Liu, Xing Fan, Wei Shen, Chenlei Guo

Multilinguality

Challenge:	Existing QR systems that reformulate defective user queries are limited in English due to the scarcity of non-English QR labels.
Approach:	They propose a query reformulation method which reformulates defective user queries to improve non-English QR performance.
Outcome:	The proposed framework improves non-English QR performance by leveraging abundant reformulation resources in English.

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