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20192023
most citedEfficient Neural Query Auto Completion

24 citations · 50 across the 10 of their papers we have counts for

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Showing cs.CLShow all

6 papers · 1 filter

cs.CL2023★ 2 cited

Now It Sounds Like You: Learning Personalized Vocabulary On Device

Sid Wang, Ashish Shenoy, Pierce Chuang +1

In recent years, Federated Learning (FL) has shown significant advancements in its ability to perform various natural language processing (NLP) tasks. This work focuses on applying…

cs.CL2021

BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation

Eleftheria Briakou, Sida I. Wang, Luke Zettlemoyer +1

Mined bitexts can contain imperfect translations that yield unreliable training signals for Neural Machine Translation (NMT). While filtering such pairs out is known to improve fin…

cs.CL2021★ 2 cited

SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark

Victor Zhong, Austin W. Hanjie, Sida I. Wang +2

Existing work in language grounding typically study single environments. How do we build unified models that apply across multiple environments? We propose the multi-environment Sy…

cs.CL2021

Deep Natural Language Processing for LinkedIn Search Systems

Weiwei Guo, Xiaowei Liu, Sida Wang +6

Many search systems work with large amounts of natural language data, e.g., search queries, user profiles and documents, where deep learning based natural language processing techn…

cs.CL2020★ 24 cited

Efficient Neural Query Auto Completion

Sida Wang, Weiwei Guo, Huiji Gao +1

Query Auto Completion (QAC), as the starting point of information retrieval tasks, is critical to user experience. Generally it has two steps: generating completed query candidates…

cs.CL2019★ 2 cited

Interactive Classification by Asking Informative Questions

Lili Yu, Howard Chen, Sida Wang +2

We study the potential for interaction in natural language classification. We add a limited form of interaction for intent classification, where users provide an initial query usin…