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ORCIDCornelia Caragea
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- affiliation: University of Illinois at Chicago, Chicago, USA
- affiliation (former): University of North Texas, Denton, USA
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2020 – today
- 2024
[c160]Eduard Poesina, Cornelia Caragea, Radu Tudor Ionescu:
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus. ACL (1) 2024: 236-253- [c159]Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea:
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. ACL (Findings) 2024: 338-354 - [c158]Mobashir Sadat, Cornelia Caragea:
Co-training for Low Resource Scientific Natural Language Inference. ACL (1) 2024: 2538-2550 - [c157]Nikesh Gyawali, Iustin Sirbu, Tiberiu Sosea, Sarthak Khanal, Doina Caragea, Traian Rebedea, Cornelia Caragea:
GunStance: Stance Detection for Gun Control and Gun Regulation. ACL (1) 2024: 12027-12044 - [c156]Chenye Zhao, Yingjie Li, Cornelia Caragea, Yue Zhang:
ZeroStance: Leveraging ChatGPT for Open-Domain Stance Detection via Dataset Generation. ACL (Findings) 2024: 13390-13405 - [c155]Chenye Zhao, Cornelia Caragea:
EZ-STANCE: A Large Dataset for English Zero-Shot Stance Detection. ACL (1) 2024: 15697-15714 - [c154]Tiberiu Sosea, Junyi Jessy Li, Cornelia Caragea:
Sarcasm Detection in a Disaster Context. LREC/COLING 2024: 14313-14324 - [c153]Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard Dragut, Longin Jan Latecki:
SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions. LREC/COLING 2024: 14407-14417 - [c152]Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Dongmei Jia, Cornelia Caragea:
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM. NAACL (Industry Track) 2024: 453-463 - [c151]Smriti Singh, Cornelia Caragea, Junyi Jessy Li:
Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion. NAACL (Short Papers) 2024: 603-614 - [c150]Mobashir Sadat, Cornelia Caragea:
MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference. NAACL-HLT 2024: 1610-1629 - [i50]Jishnu Ray Chowdhury, Cornelia Caragea:
Recurrent Transformers with Dynamic Halt. CoRR abs/2402.00976 (2024) - [i49]Mobashir Sadat, Cornelia Caragea:
MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference. CoRR abs/2404.08066 (2024) - [i48]Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Dongmei Jia, Cornelia Caragea:
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM. CoRR abs/2404.08886 (2024) - [i47]Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea:
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. CoRR abs/2404.15592 (2024) - [i46]Eduard Poesina, Cornelia Caragea, Radu Tudor Ionescu:
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus. CoRR abs/2405.11877 (2024) - [i45]Mobashir Sadat, Cornelia Caragea:
Co-training for Low Resource Scientific Natural Language Inference. CoRR abs/2406.14666 (2024) - [i44]Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard Dragut, Longin Jan Latecki:
SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions. CoRR abs/2406.14756 (2024) - [i43]Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard Dragut, Longin Jan Latecki:
FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding. CoRR abs/2407.05183 (2024) - [i42]Jishnu Ray Chowdhury, Cornelia Caragea:
On the Design Space Between Transformers and Recursive Neural Nets. CoRR abs/2409.01531 (2024) - 2023
- [j20]Huitong Pan, Qi Zhang, Eduard Dragut, Cornelia Caragea, Longin Jan Latecki:
DMDD: A Large-Scale Dataset for Dataset Mentions Detection. Trans. Assoc. Comput. Linguistics 11: 1132-1146 (2023) - [j19]Chenye Zhao
, Cornelia Caragea:
Deep Gated Multi-modal Fusion for Image Privacy Prediction. ACM Trans. Web 17(4): 34:1-34:24 (2023) - [c149]Mahshid Hosseini, Cornelia Caragea:
Feature Normalization and Cartography-Based Demonstrations for Prompt-Based Fine-Tuning on Emotion-Related Tasks. AAAI 2023: 12881-12889 - [c148]George Maratos, Tiberiu Sosea, Cornelia Caragea:
Label Smoothing for Emotion Detection (Student Abstract). AAAI 2023: 16282-16283 - [c147]Mahshid Hosseini, Cornelia Caragea:
Semi-Supervised Domain Adaptation for Emotion-Related Tasks. ACL (Findings) 2023: 5402-5410 - [c146]Yingjie Li, Cornelia Caragea:
Distilling Calibrated Knowledge for Stance Detection. ACL (Findings) 2023: 6316-6329 - [c145]Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea:
Data Augmentation for Low-Resource Keyphrase Generation. ACL (Findings) 2023: 8442-8455 - [c144]Shweta Yadav, Cornelia Caragea, Chenye Zhao, Naincy Kumari, Marvin Solberg, Tanmay Sharma:
Towards Identifying Fine-Grained Depression Symptoms from Memes. ACL (1) 2023: 8890-8905 - [c143]Tiberiu Sosea, Hongli Zhan, Junyi Jessy Li, Cornelia Caragea:
Unsupervised Extractive Summarization of Emotion Triggers. ACL (1) 2023: 9550-9569 - [c142]Yingjie Li, Krishna Garg, Cornelia Caragea:
A New Direction in Stance Detection: Target-Stance Extraction in the Wild. ACL (1) 2023: 10071-10085 - [c141]Chenye Zhao, Yingjie Li, Cornelia Caragea:
C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection. ACL (1) 2023: 13369-13385 - [c140]Tiberiu Sosea, Cornelia Caragea:
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins. CVPR 2023: 15773-15782 - [c139]Mina Valizadeh, Xing Qian, Pardis Ranjbar-Noiey, Cornelia Caragea, Natalie Parde:
What Clued the AI Doctor In? On the Influence of Data Source and Quality for Transformer-Based Medical Self-Disclosure Detection. EACL 2023: 1193-1208 - [c138]Chenye Zhao, Cornelia Caragea:
EZ-STANCE: A Large Dataset for Zero-Shot Stance Detection. EMNLP (Findings) 2023: 897-911 - [c137]Henry Peng Zou, Yue Zhou, Weizhi Zhang, Cornelia Caragea:
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank. EMNLP (Findings) 2023: 6104-6115 - [c136]Henry Peng Zou, Cornelia Caragea:
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification. EMNLP 2023: 7290-7301 - [c135]Seo Park, Cornelia Caragea:
Multi-Task Knowledge Distillation with Embedding Constraints for Scholarly Keyphrase Boundary Classification. EMNLP 2023: 13026-13042 - [c134]Jishnu Ray Chowdhury, Cornelia Caragea:
Beam Tree Recursive Cells. ICML 2023: 28768-28791 - [c133]Jishnu Ray Chowdhury, Cornelia Caragea:
Monotonic Location Attention for Length Generalization. ICML 2023: 28792-28808 - [c132]Jishnu Ray Chowdhury, Cornelia Caragea:
Efficient Beam Tree Recursion. NeurIPS 2023 - [c131]Jishnu Ray Chowdhury, Cornelia Caragea:
Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability. NeurIPS 2023 - [c130]Yingjie Li, Chenye Zhao, Cornelia Caragea:
TTS: A Target-based Teacher-Student Framework for Zero-Shot Stance Detection. WWW 2023: 1500-1509 - [c129]Shweta Yadav, Stefan Cobeli, Cornelia Caragea:
Towards Understanding Consumer Healthcare Questions on the Web with Semantically Enhanced Contrastive Learning. WWW 2023: 1773-1783 - [c128]Nikita Gautam, David Shumway, Megan Kowalcyk, Sarthak Khanal, Doina Caragea, Cornelia Caragea, Hande McGinty, Samuel Dorevitch:
Leveraging Existing Literature on the Web and Deep Neural Models to Build a Knowledge Graph Focused on Water Quality and Health Risks. WWW 2023: 4161-4171 - [i41]Sandeep Mehta, Darpan Shah, Ravindra Kulkarni, Cornelia Caragea:
Semantic Tokenizer for Enhanced Natural Language Processing. CoRR abs/2304.12404 (2023) - [i40]Tuhin Kundu, Jishnu Ray Chowdhury, Cornelia Caragea:
Neural Keyphrase Generation: Analysis and Evaluation. CoRR abs/2304.13883 (2023) - [i39]Huitong Pan, Qi Zhang, Eduard Dragut, Cornelia Caragea, Longin Jan Latecki:
DMDD: A Large-Scale Dataset for Dataset Mentions Detection. CoRR abs/2305.11779 (2023) - [i38]Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea:
Data Augmentation for Low-Resource Keyphrase Generation. CoRR abs/2305.17968 (2023) - [i37]Jishnu Ray Chowdhury, Cornelia Caragea:
Beam Tree Recursive Cells. CoRR abs/2305.19999 (2023) - [i36]Jishnu Ray Chowdhury, Cornelia Caragea:
Monotonic Location Attention for Length Generalization. CoRR abs/2305.20019 (2023) - [i35]Tiberiu Sosea, Hongli Zhan, Junyi Jessy Li, Cornelia Caragea:
Unsupervised Extractive Summarization of Emotion Triggers. CoRR abs/2306.01444 (2023) - [i34]Jishnu Ray Chowdhury, Cornelia Caragea:
Efficient Beam Tree Recursion. CoRR abs/2307.10779 (2023) - [i33]Tiberiu Sosea, Junyi Jessy Li, Cornelia Caragea:
Sarcasm Detection in a Disaster Context. CoRR abs/2308.08156 (2023) - [i32]Tiberiu Sosea, Cornelia Caragea:
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins. CoRR abs/2308.09037 (2023) - [i31]Henry Peng Zou, Yue Zhou, Weizhi Zhang, Cornelia Caragea:
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank. CoRR abs/2310.14577 (2023) - [i30]Henry Peng Zou, Cornelia Caragea:
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification. CoRR abs/2310.14583 (2023) - [i29]Henry Peng Zou, Yue Zhou, Cornelia Caragea, Doina Caragea:
CrisisMatch: Semi-Supervised Few-Shot Learning for Fine-Grained Disaster Tweet Classification. CoRR abs/2310.14627 (2023) - [i28]Jishnu Ray Chowdhury, Cornelia Caragea:
Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability. CoRR abs/2311.04449 (2023) - [i27]Smriti Singh, Cornelia Caragea, Junyi Jessy Li:
Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion. CoRR abs/2311.09602 (2023) - 2022
- [c127]Seoyeon Park, Cornelia Caragea:
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency. ACL (1) 2022: 5364-5374 - [c126]Mobashir Sadat, Cornelia Caragea:
SciNLI: A Corpus for Natural Language Inference on Scientific Text. ACL (1) 2022: 7399-7409 - [c125]Iustin Sirbu, Tiberiu Sosea, Cornelia Caragea, Doina Caragea, Traian Rebedea:
Multimodal Semi-supervised Learning for Disaster Tweet Classification. COLING 2022: 2711-2723 - [c124]Shweta Yadav, Cornelia Caragea:
Towards Summarizing Healthcare Questions in Low-Resource Setting. COLING 2022: 2892-2905 - [c123]Paul Landes, Kunal Patel, Sean S. Huang, Adam Webb, Barbara Di Eugenio, Cornelia Caragea:
A New Public Corpus for Clinical Section Identification: MedSecId. COLING 2022: 3709-3721 - [c122]Tiberiu Sosea, Cornelia Caragea:
Leveraging Training Dynamics and Self-Training for Text Classification. EMNLP (Findings) 2022: 4750-4762 - [c121]Mobashir Sadat, Cornelia Caragea:
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference. EMNLP (Findings) 2022: 4763-4776 - [c120]Jishnu Ray Chowdhury, Seoyeon Park, Tuhin Kundu, Cornelia Caragea:
KPDROP: Improving Absent Keyphrase Generation. EMNLP (Findings) 2022: 4853-4870 - [c119]Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea:
Keyphrase Generation Beyond the Boundaries of Title and Abstract. EMNLP (Findings) 2022: 5809-5821 - [c118]Mobashir Sadat, Cornelia Caragea:
Hierarchical Multi-Label Classification of Scientific Documents. EMNLP 2022: 8923-8937 - [c117]Mahshid Hosseini, Cornelia Caragea:
Calibrating Student Models for Emotion-related Tasks. EMNLP 2022: 9266-9278 - [c116]Hongli Zhan, Tiberiu Sosea, Cornelia Caragea, Junyi Jessy Li:
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts. EMNLP 2022: 9436-9453 - [c115]Chenye Zhao, Jasmine Mangat, Sujay Koujalgi, Anna Cinzia Squicciarini, Cornelia Caragea:
PrivacyAlert: A Dataset for Image Privacy Prediction. ICWSM 2022: 1352-1361 - [c114]Stefan Cobeli, Ioan-Bogdan Iordache, Shweta Yadav, Cornelia Caragea, Liviu P. Dinu, Dragos Iliescu:
Detecting Optimism in Tweets using Knowledge Distillation and Linguistic Analysis of Optimism. LREC 2022: 2032-2041 - [c113]Tiberiu Sosea, Cornelia Caragea:
EnsyNet: A Dataset for Encouragement and Sympathy Detection. LREC 2022: 5444-5449 - [c112]Tiberiu Sosea, Chau Pham, Alexander Tekle, Cornelia Caragea, Junyi Jessy Li:
Emotion analysis and detection during COVID-19. LREC 2022: 6938-6947 - [c111]Seoyeon Park, Cornelia Caragea:
A Data Cartography based MixUp for Pre-trained Language Models. NAACL-HLT 2022: 4244-4250 - [i26]Jishnu Ray Chowdhury, Debanjan Mahata, Cornelia Caragea:
On the Evaluation of Answer-Agnostic Paragraph-level Multi-Question Generation. CoRR abs/2203.04464 (2022) - [i25]Mobashir Sadat, Cornelia Caragea:
SciNLI: A Corpus for Natural Language Inference on Scientific Text. CoRR abs/2203.06728 (2022) - [i24]Seoyeon Park, Cornelia Caragea:
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency. CoRR abs/2203.07559 (2022) - [i23]Seoyeon Park, Cornelia Caragea:
A Data Cartography based MixUp for Pre-trained Language Models. CoRR abs/2205.03403 (2022) - [i22]Hongli Zhan, Tiberiu Sosea, Cornelia Caragea, Junyi Jessy Li:
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts. CoRR abs/2210.12531 (2022) - [i21]Mobashir Sadat, Cornelia Caragea:
Hierarchical Multi-Label Classification of Scientific Documents. CoRR abs/2211.02810 (2022) - [i20]Mobashir Sadat, Cornelia Caragea:
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference. CoRR abs/2211.02971 (2022) - 2021
- [j18]Tanmoy Chakraborty, Sumit Bhatia, Cornelia Caragea:
Special section on mining knowledge from scientific data. Expert Syst. J. Knowl. Eng. 38(4) (2021) - [c110]Mahshid Hosseini, Cornelia Caragea:
It Takes Two to Empathize: One to Seek and One to Provide. AAAI 2021: 13018-13026 - [c109]Krutarth Patel, Cornelia Caragea, Doina Caragea, C. Lee Giles:
Author Homepage Discovery in CiteSeerX. AAAI 2021: 15146-15155 - [c108]Tiberiu Sosea, Cornelia Caragea:
eMLM: A New Pre-training Objective for Emotion Related Tasks. ACL/IJCNLP (2) 2021: 286-293 - [c107]Kyle Glandt, Sarthak Khanal, Yingjie Li, Doina Caragea, Cornelia Caragea:
Stance Detection in COVID-19 Tweets. ACL/IJCNLP (1) 2021: 1596-1611 - [c106]Ana Sabina Uban, Cornelia Caragea, Liviu P. Dinu:
Studying the Evolution of Scientific Topics and their Relationships. ACL/IJCNLP (Findings) 2021: 1908-1922 - [c105]Yingjie Li, Cornelia Caragea:
A Multi-Task Learning Framework for Multi-Target Stance Detection. ACL/IJCNLP (Findings) 2021: 2320-2326 - [c104]Yingjie Li, Tiberiu Sosea, Aditya Sawant, Ajith Jayaraman Nair, Diana Inkpen, Cornelia Caragea:
P-Stance: A Large Dataset for Stance Detection in Political Domain. ACL/IJCNLP (Findings) 2021: 2355-2365 - [c103]Krutarth Patel, Cornelia Caragea:
Exploiting Position and Contextual Word Embeddings for Keyphrase Extraction from Scientific Papers. EACL 2021: 1585-1591 - [c102]Mahshid Hosseini, Cornelia Caragea:
Distilling Knowledge for Empathy Detection. EMNLP (Findings) 2021: 3713-3724 - [c101]Yingjie Li, Chenye Zhao, Cornelia Caragea:
Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation. EMNLP (1) 2021: 6332-6345 - [c100]Jishnu Ray Chowdhury, Cornelia Caragea:
Modeling Hierarchical Structures with Continuous Recursive Neural Networks. ICML 2021: 1975-1988 - [c99]Tiberiu Sosea, Iustin Sirbu, Cornelia Caragea, Doina Caragea, Traian Rebedea:
Using the Image-Text Relationship to Improve Multimodal Disaster Tweet Classification. ISCRAM 2021: 691-704 - [c98]Hongmin Li, Doina Caragea, Cornelia Caragea:
Combining Self-training with Deep Learning for Disaster Tweet Classification. ISCRAM 2021: 719-730 - [c97]Yingjie Li, Cornelia Caragea:
Target-Aware Data Augmentation for Stance Detection. NAACL-HLT 2021: 1850-1860 - [c96]Mina Valizadeh, Pardis Ranjbar-Noiey, Cornelia Caragea, Natalie Parde:
Identifying Medical Self-Disclosure in Online Communities. NAACL-HLT 2021: 4398-4408 - [c95]Chenye Zhao, Cornelia Caragea:
Knowledge Distillation with BERT for Image Tag-Based Privacy Prediction. RANLP 2021: 1616-1625 - [i19]Jishnu Ray Chowdhury, Cornelia Caragea:
Modeling Hierarchical Structures with Continuous Recursive Neural Networks. CoRR abs/2106.06038 (2021) - [i18]Alexander Tekle, Chau Pham, Cornelia Caragea, Junyi Jessy Li:
When a crisis strikes: Emotion analysis and detection during COVID-19. CoRR abs/2107.11020 (2021) - [i17]Paul Landes, Barbara Di Eugenio, Cornelia Caragea:
DeepZensols: Deep Natural Language Processing Framework. CoRR abs/2109.03383 (2021) - [i16]Ana Sabina Uban, Cornelia Caragea:
Generating Summaries for Scientific Paper Review. CoRR abs/2109.14059 (2021) - [i15]Seoyeon Park, Jishnu Ray Chowdhury, Tuhin Kundu, Cornelia Caragea:
KPDrop: An Approach to Improving Absent Keyphrase Generation. CoRR abs/2112.01476 (2021) - [i14]Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea:
Keyphrase Generation Beyond the Boundaries of Title and Abstract. CoRR abs/2112.06776 (2021) - 2020
- [j17]Ashwini Tonge, Cornelia Caragea:
Image Privacy Prediction Using Deep Neural Networks. ACM Trans. Web 14(2): 7:1-7:32 (2020) - [c94]Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
On Identifying Hashtags in Disaster Twitter Data. AAAI 2020: 498-506 - [c93]Gabriele Galfré, Cornelia Caragea:
Exploring Abstract Concepts for Image Privacy Prediction in Social Networks (Student Abstract). AAAI 2020: 13785-13786 - [c92]Edoardo Savini, Cornelia Caragea:
A Multi-Task Learning Approach to Sarcasm Detection (Student Abstract). AAAI 2020: 13907-13908 - [c91]Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup. ACL (student) 2020: 292-298 - [c90]Shrey Desai, Cornelia Caragea, Junyi Jessy Li:
Detecting Perceived Emotions in Hurricane Disasters. ACL 2020: 5290-5305 - [c89]Seoyeon Park, Cornelia Caragea:
Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning. COLING 2020: 5409-5419 - [c88]Shaurya Rohatgi, Zeba Karishma, Jason Chhay, Sai Raghav Reddy Keesara, Jian Wu, Cornelia Caragea, C. Lee Giles:
COVIDSeer: Extending the CORD-19 Dataset. DocEng 2020: 21:1-21:4 - [c87]Krutarth Patel, Cornelia Caragea, Sujatha Das Gollapalli:
On the Use of Web Search to Improve Scientific Collections. SDP@EMNLP 2020: 174-183 - [c86]Tiberiu Sosea, Cornelia Caragea:
CancerEmo: A Dataset for Fine-Grained Emotion Detection. EMNLP (1) 2020: 8892-8904 - [c85]Krutarth Patel, Cornelia Caragea, Jian Wu, C. Lee Giles:
Keyphrase Extraction in Scholarly Digital Library Search Engines. ICWS 2020: 179-196 - [c84]Krutarth Patel, Cornelia Caragea, Mark E. Phillips, Nathaniel T. Fox:
Identifying Documents In-Scope of a Collection from Web Archives. JCDL 2020: 167-176 - [c83]Krutarth Patel, Cornelia Caragea, Mark E. Phillips:
Dynamic Classification in Web Archiving Collections. LREC 2020: 1459-1468 - [i13]Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
On Identifying Hashtags in Disaster Twitter Data. CoRR abs/2001.01323 (2020) - [i12]