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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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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)- [c29]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 - [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 2024-11-19 20:43 CET by the dblp team
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