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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.
RoBERTa: A Robustly Optimized BERT Pretraining Approach
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Learning Deep Structured Semantic Models for Web Search Using Clickthrough Data. In Proceedings of the 22nd ACM International Conference on Information & Knowledge Management (CIKM ’13)
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MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. In Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches 2016 co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016) (CEUR Workshop Proceedings)
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Attention is All you Need. In Advances in Neural Information Processing Systems
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Deeper Text Understanding for IR with Contextual Neural Language Modeling. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’19)
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
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Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
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VideoBERT: A Joint Model for Video and Language Representation Learning. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)
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Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning. In Proceedings of the AAAI Conference on Artificial Intelligence
Ji Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li Ma, Hua Chai, Jieping Ye, and Xiaohu Qie. 2019 · 2019
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End-to-End Object Detection with Transformers. In Computer Vision – ECCV 2020
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UNITER: UNiversal Image-TExt Representation Learning. In Computer Vision – ECCV 2020
Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, and Jingjing Liu. 2020 · 2020
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Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A. Smith. 2020 · 2020
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Poly-encoders: Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring. In International Conference on Learning Representations
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Dense Passage Retrieval for Open-Domain Question Answering. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
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ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision. In Proceedings of the 38th International Conference on Machine Learning (Proceedings of Machine Learning Research)
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Geo-BERT Pre-training Model for Query Rewriting in POI Search. In Findings of the Association for Computational Linguistics: EMNLP 2021
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RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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Learning Transferable Visual Models From Natural Language Supervision. In Proceedings of the 38th International Conference on Machine Learning
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ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’20)
Omar Khattab and Matei Zaharia. 2020 · 2020
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Resolving the shortest path problem using the haversine algorithm
Dwi Arman Prasetya, Phong Thanh Nguyen, Rinat Faizullin, Iswanto Iswanto, and Edmond Febrinicko Armay. 2020 · 2020
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StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. In International Conference on Learning Representations
Wei Wang, Bin Bi, Ming Yan, Chen Wu, Jiangnan Xia, Zuyi Bao, Liwei Peng, and Luo Si. 2020 · 2020
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Spatio-Temporal Dual Graph Attention Network for Query-POI Matching. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’20)
Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, and Hui Xiong. 2020 · 2020
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MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’21)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, and Jimmy Lin. 2021 · 2021
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. In International Conference on Learning Representations
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. 2021 · 2021
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Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline. In Advances in Information Retrieval: 43rd European Conference on IR Research, ECIR 2021
Luyu Gao, Zhuyun Dai, and Jamie Callan. 2021 · 2021
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Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’21)
Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, and Emine Yilmaz. 2021a
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ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Yu Sun, Shuohuan Wang, Shikun Feng, Siyu Ding, Chao Pang, Junyuan Shang, Jiaxiang Liu, Xuyi Chen, Yanbin Zhao, Yuxiang Lu, Weixin Liu, Zhihua Wu, Weibao Gong, Jianzhong Liang, Zhizhou Shang, Peng Sun, Wei Liu, Xuan Ouyang, Dianhai Yu, Hao Tian, Hua Wu, and Haifeng Wang. 2021b · 2021
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Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Nandan Thakur, Nils Reimers, Johannes Daxenberger, and Iryna Gurevych. 2021 · 2021
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LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Wanxiang Che, Min Zhang, and Lidong Zhou. 2021 · 2021
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Pretrained Transformers for Text Ranking: BERT and Beyond. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’21)
Andrew Yates, Rodrigo Nogueira, and Jimmy Lin. 2021 · 2021
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Geographic Adaptation of Pretrained Language Models
Valentin Hofmann, Goran Glavas, Nikola Ljubesic, Janet B. Pierrehumbert, and Hinrich Schütze. 2022 · 2022
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ERNIE-GeoL: A Geography-and-Language Pre-Trained Model and Its Applications in Baidu Maps. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’22)
Jizhou Huang, Haifeng Wang, Yibo Sun, Yunsheng Shi, Zhengjie Huang, An Zhuo, and Shikun Feng. 2022 · 2022
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StruBERT: Structure-Aware BERT for Table Search and Matching. In Proceedings of the ACM Web Conference 2022 (WWW ’22)
Mohamed Trabelsi, Zhiyu Chen, Shuo Zhang, Brian D. Davison, and Jeff Heflin. 2022 · 2022
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