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2020 – today
- 2024
[j6]Necva Bölücü
, Maciej Rybinski, Xiang Dai, Stephen Wan:
An adaptive approach to noisy annotations in scientific information extraction. Inf. Process. Manag. 61(6): 103857 (2024)- [c30]Biaoyan Fang, Ritvik Dinesh, Xiang Dai, Sarvnaz Karimi:
Born Differently Makes a Difference: Counterfactual Study of Bias in Biography Generation from a Data-to-Text Perspective. ACL (Short Papers) 2024: 409-424 - [c29]Jiacheng Cheng, Xiang Dai, Jia Wan, Nick Antipa, Nuno Vasconcelos:
Learning a Dynamic Privacy-Preserving Camera Robust to Inversion Attacks. ECCV (70) 2024: 349-367 - [c28]Biaoyan Fang, Xiang Dai, Sarvnaz Karimi:
Understanding Faithfulness and Reasoning of Large Language Models on Plain Biomedical Summaries. EMNLP (Findings) 2024: 9890-9911 - [c27]Xiang Dai, Sarvnaz Karimi, Biaoyan Fang:
A Critical Look at Meta-evaluating Summarisation Evaluation Metrics. EMNLP (Findings) 2024: 14795-14808 - [i15]Xiang Dai, Sarvnaz Karimi, Nathan O'Callaghan:
Identifying Health Risks from Family History: A Survey of Natural Language Processing Techniques. CoRR abs/2403.09997 (2024) - [i14]Xiang Dai, Sarvnaz Karimi, Abeed Sarker, Ben Hachey, Cécile Paris:
MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction. CoRR abs/2405.18015 (2024) - [i13]Xiang Dai, Sarvnaz Karimi, Biaoyan Fang:
A Critical Look at Meta-evaluating Summarisation Evaluation Metrics. CoRR abs/2409.19507 (2024) - 2023
- [j5]Hubert Dariusz Zajac, Dana Li, Xiang Dai, Jonathan Frederik Carlsen, Finn Kensing, Tariq O. Andersen:
Clinician-Facing AI in the Wild: Taking Stock of the Sociotechnical Challenges and Opportunities for HCI. ACM Trans. Comput. Hum. Interact. 30(2): 1-39 (2023) - [c26]Skyler Zou, Xiang Dai, Grant Brinkworth, Pennie Taylor, Sarvnaz Karimi:
Can Social Media Inform Dietary Approaches for Health Management? A Dataset and Benchmark for Low-Carb Diet. BioNLP@ACL 2023: 406-412 - [c25]Mong Yuan Sim, Xiang Dai, Maciej Rybinski, Sarvnaz Karimi:
CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models. BioNLP@ACL 2023: 629-635 - [c24]Rasmus Kær Jørgensen, Oliver Brandt, Mareike Hartmann, Xiang Dai, Christian Igel, Desmond Elliott:
MultiFin: A Dataset for Multilingual Financial NLP. EACL (Findings) 2023: 864-879 - [c23]Xiang Dai, Sarvnaz Karimi, Stephen Wan:
Rethinking the Role of Entity Type in Relation Classification. IJCNLP (1) 2023: 374-384 - [c22]Xiang Dai, Yue Wang, Xin Liu, Dan Song, Zhaobo Juan, Shengze Wang, Liangyu Lu, Haibo Liu, Jing Shen:
EEGCN: Event Evolutionary Graph Comparison Network for Multi-Modal Fake News Detection. MLNLP 2023: 27-32 - 2022
- [j4]Lei Pan, Hengchao Li, Xiang Dai, Ying Cui, Xifeng Huang, Lican Dai:
Latent Low-Rank Projection Learning with Graph Regularization for Feature Extraction of Hyperspectral Images. Remote. Sens. 14(13): 3078 (2022) - [c21]Ying Cui, Xiang Dai, Lican Dai:
Event Extraction in Vertical Domain Based on Similar Semantics and Dependency Syntax. AIPR 2022: 63-70 - [c20]Xiang Dai, Hassen Fourati, Christophe Prieur:
A Dynamic Grid-based Q-learning for Noise Covariance Adaptation in EKF and its Application in Navigation. CDC 2022: 4984-4989 - [c19]Xiang Dai, Ilias Chalkidis, Sune Darkner, Desmond Elliott:
Revisiting Transformer-based Models for Long Document Classification. EMNLP (Findings) 2022: 7212-7230 - [c18]Ying Cui, Xiang Dai, Lican Dai, Kan Wang:
An Overview on the Development and Application of Cognitive Robot. FSDM 2022: 359-368 - [c17]Shiqi Xu, Xiang Dai, Xi Yang, Kevin C. Zhou, Kanghyun Kim, Vinayak Pathak, Carolyn Glass, Roarke Horstmeyer:
Tensorial tomographic differential phase-contrast microscopy. ICCP 2022: 1-11 - [i12]Xiang Dai, Ilias Chalkidis, Sune Darkner, Desmond Elliott:
Revisiting Transformer-based Models for Long Document Classification. CoRR abs/2204.06683 (2022) - [i11]Shiqi Xu, Xiang Dai, Xi Yang, Kevin C. Zhou, Kanghyun Kim, Vinayak Pathak, Carolyn Glass, Roarke Horstmeyer:
Tensorial tomographic differential phase-contrast microscopy. CoRR abs/2204.11397 (2022) - [i10]Ilias Chalkidis, Xiang Dai, Manos Fergadiotis, Prodromos Malakasiotis, Desmond Elliott:
An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification. CoRR abs/2210.05529 (2022) - [i9]Xiang Dai, Sarvnaz Karimi:
Detecting Entities in the Astrophysics Literature: A Comparison of Word-based and Span-based Entity Recognition Methods. CoRR abs/2211.13819 (2022) - 2021
- [c16]Xiang Dai, Maciej Rybinski, Sarvnaz Karimi:
SearchEHR: A Family History Search System for Clinical Decision Support. CIKM 2021: 4701-4705 - [c15]Rasmus Kær Jørgensen, Mareike Hartmann, Xiang Dai, Desmond Elliott:
mDAPT: Multilingual Domain Adaptive Pretraining in a Single Model. EMNLP (Findings) 2021: 3404-3418 - [c14]Xiang Dai, Yongchao Wei:
Knowledge Map Reasoning Technology Based on Complex Network. FSDM 2021: 412-421 - [i8]Xiang Dai:
Recognising Biomedical Names: Challenges and Solutions. CoRR abs/2106.12230 (2021) - [i7]Rasmus Kær Jørgensen, Mareike Hartmann, Xiang Dai, Desmond Elliott:
MDAPT: Multilingual Domain Adaptive Pretraining in a Single Model. CoRR abs/2109.06605 (2021) - 2020
- [j3]Shaowu Zhu, Haichun Sun, Yongcheng Duan, Xiang Dai, Sangeet Saha:
Travel Mode Recognition from GPS Data Based on LSTM. Comput. Informatics 39(1) (2020) - [c13]Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
An Effective Transition-based Model for Discontinuous NER. ACL 2020: 5860-5870 - [c12]Xiang Dai, Heike Adel:
An Analysis of Simple Data Augmentation for Named Entity Recognition. COLING 2020: 3861-3867 - [c11]Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media. EMNLP (Findings) 2020: 1675-1681 - [c10]Lukas Lange, Xiang Dai, Heike Adel, Jannik Strötgen:
NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction. IberLEF@SEPLN 2020: 335-346 - [i6]Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
An Effective Transition-based Model for Discontinuous NER. CoRR abs/2004.13454 (2020) - [i5]Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media. CoRR abs/2010.01150 (2020) - [i4]Xiang Dai, Heike Adel:
An Analysis of Simple Data Augmentation for Named Entity Recognition. CoRR abs/2010.11683 (2020) - [i3]Lukas Lange, Xiang Dai, Heike Adel, Jannik Strötgen:
NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction. CoRR abs/2010.12322 (2020)
2010 – 2019
- 2019
- [c9]Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cécile Paris, James R. Curran:
NNE: A Dataset for Nested Named Entity Recognition in English Newswire. ACL (1) 2019: 5176-5181 - [c8]Xiang Dai, Romain Bourdais, Hervé Guéguen:
Dynamic Reduction of The Iterations Requirement in A Distributed Model Predictive Control. CDC 2019: 6392-6397 - [c7]Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
Using Similarity Measures to Select Pretraining Data for NER. NAACL-HLT (1) 2019: 1460-1470 - [i2]Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
Using Similarity Measures to Select Pretraining Data for NER. CoRR abs/1904.00585 (2019) - [i1]Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cécile Paris, James R. Curran:
NNE: A Dataset for Nested Named Entity Recognition in English Newswire. CoRR abs/1906.01359 (2019) - 2018
- [j2]Shifeng Wang, Sarath Kodagoda, Lei Shi, Xiang Dai:
Two-Stage Road Terrain Identification Approach for Land Vehicles Using Feature-Based and Markov Random Field Algorithm. IEEE Intell. Syst. 33(1): 29-39 (2018) - [c6]Xiang Dai:
Recognizing Complex Entity Mentions: A Review and Future Directions. ACL (3) 2018: 37-44 - [c5]Xifeng Huang, Xiang Dai:
Learning Term Weight with Long Short-Term Memory for Question Retrieval. CLSW 2018: 615-622 - [c4]Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection. SMM4H@EMNLP 2018: 43-47 - 2017
- [c3]Xiang Dai, Sarvnaz Karimi, Cécile Paris:
Medication and Adverse Event Extraction from Noisy Text. ALTA 2017: 79-87 - [c2]Sarvnaz Karimi, Xiang Dai, Hamed Hassanzadeh, Anthony N. Nguyen:
Automatic Diagnosis Coding of Radiology Reports: A Comparison of Deep Learning and Conventional Classification Methods. BioNLP 2017: 328-332 - [c1]Chuang Liu, Linan Fan, Liangjie Li, Zhou Liu, Xiang Dai, Wei Gao:
Community Detection in Networks by Using Multiobjective Membrane Algorithm. ICONIP (4) 2017: 419-428
2000 – 2009
- 2004
- [j1]Paul S. Ho, Guotao Wang, Min Ding, Jie-Hua Zhao, Xiang Dai:
Reliability issues for flip-chip packages. Microelectron. Reliab. 44(5): 719-737 (2004)
Coauthor Index
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last updated on 2024-12-11 20:41 CET by the dblp team
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