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Sarvnaz Karimi
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Publications
- 2024
- [i13]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) - 2023
- [c59]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 - [c58]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 - [c56]Xiang Dai, Sarvnaz Karimi, Stephen Wan:
Rethinking the Role of Entity Type in Relation Classification. IJCNLP (1) 2023: 374-384 - 2022
- [i11]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
- [c50]Xiang Dai, Maciej Rybinski, Sarvnaz Karimi:
SearchEHR: A Family History Search System for Clinical Decision Support. CIKM 2021: 4701-4705 - 2020
- [c47]Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
An Effective Transition-based Model for Discontinuous NER. ACL 2020: 5860-5870 - [c46]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 - [i10]Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
An Effective Transition-based Model for Discontinuous NER. CoRR abs/2004.13454 (2020) - [i8]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) - 2019
- [c43]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 - [c35]Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
Using Similarity Measures to Select Pretraining Data for NER. NAACL-HLT (1) 2019: 1460-1470 - [i6]Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
Using Similarity Measures to Select Pretraining Data for NER. CoRR abs/1904.00585 (2019) - [i5]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
- [c29]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
- [c28]Xiang Dai, Sarvnaz Karimi, Cécile Paris:
Medication and Adverse Event Extraction from Noisy Text. ALTA 2017: 79-87 - [c27]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
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