activity
20212023
most citedMGeo: Multi-Modal Geographic Pre-Training Method

28 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023★ 2 cited

GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark

Dongyang Li, Ruixue Ding, Qiang Zhang +8

With a fast developing pace of geographic applications, automatable and intelligent models are essential to be designed to handle the large volume of information. However, few rese…

cs.CL2023★ 28 cited

MGeo: Multi-Modal Geographic Pre-Training Method

Ruixue Ding, Boli Chen, Pengjun Xie +4

As a core task in location-based services (LBS) (e.g., navigation maps), query and point of interest (POI) matching connects users' intent with real-world geographic information. R…

cs.CL2022

Parallel Instance Query Network for Named Entity Recognition

Yongliang Shen, Xiaobin Wang, Zeqi Tan +5

Named entity recognition (NER) is a fundamental task in natural language processing. Recent works treat named entity recognition as a reading comprehension task, constructing type-…

cs.CL2022

AISHELL-NER: Named Entity Recognition from Chinese Speech

Boli Chen, Guangwei Xu, Xiaobin Wang +3

Named Entity Recognition (NER) from speech is among Spoken Language Understanding (SLU) tasks, aiming to extract semantic information from the speech signal. NER from speech is usu…

cs.CV2021

Product-oriented Machine Translation with Cross-modal Cross-lingual Pre-training

Yuqing Song, Shizhe Chen, Qin Jin +3

Translating e-commercial product descriptions, a.k.a product-oriented machine translation (PMT), is essential to serve e-shoppers all over the world. However, due to the domain spe…