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ORCIDShubhanshu Mishra
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2020 – today
- 2024
[i13]Zhiwen You, Haejin Lee, Shubhanshu Mishra, Sullam Jeoung, Apratim Mishra, Jinseok Kim, Jana Diesner:
Beyond Binary Gender Labels: Revealing Gender Biases in LLMs through Gender-Neutral Name Predictions. CoRR abs/2407.05271 (2024)- 2022
- [c19]Shubhanshu Mishra, Rezvaneh Rezapour, Jana Diesner:
Information Extraction from Social Media: A Hands-on Tutorial on Tasks, Data, and Open Source Tools. CIKM 2022: 5148-5151 - [c18]Jinning Li, Shubhanshu Mishra, Ahmed El-Kishky, Sneha Mehta, Vivek Kulkarni:
NTULM: Enriching Social Media Text Representations with Non-Textual Units. W-NUT@COLING 2022: 69-82 - [c17]Liam Hebert
, Raheleh Makki, Shubhanshu Mishra, Hamidreza Saghir, Anusha Kamath, Yuval Merhav:
Robust Candidate Generation for Entity Linking on Short Social Media Texts. W-NUT@COLING 2022: 83-89 - [c16]Shubhanshu Mishra, Rezvaneh Rezapour, Jana Diesner:
Information Extraction from Social Media: A Hands-On Tutorial on Tasks, Data, and Open Source Tools. ECIR (2) 2022: 589-596 - [c15]Jason A. Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Sunny Kang, Rosaline Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José D. Posada, John M. Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Broad, Yanis Labrak, Shlok Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz:
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing. NeurIPS 2022 - [c14]Shubhanshu Mishra, Aman Saini, Raheleh Makki, Sneha Mehta, Aria Haghighi, Ali Mollahosseini:
TweetNERD - End to End Entity Linking Benchmark for Tweets. NeurIPS 2022 - [i12]Jason Alan Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Myungsun Kang, Ruisi Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José David Posada, John Michael Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Michio Broad, Yanis Labrak, Shlok S. Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz:
BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing. CoRR abs/2206.15076 (2022) - [i11]Liam Hebert, Raheleh Makki, Shubhanshu Mishra, Hamidreza Saghir, Anusha Kamath, Yuval Merhav:
Robust Candidate Generation for Entity Linking on Short Social Media Texts. CoRR abs/2210.07472 (2022) - [i10]Shubhanshu Mishra, Aman Saini, Raheleh Makki, Sneha Mehta, Aria Haghighi, Ali Mollahosseini:
TweetNERD - End to End Entity Linking Benchmark for Tweets. CoRR abs/2210.08129 (2022) - [i9]Jinning Li, Shubhanshu Mishra, Ahmed El-Kishky, Sneha Mehta, Vivek Kulkarni:
NTULM: Enriching Social Media Text Representations with Non-Textual Units. CoRR abs/2210.16586 (2022) - [i8]Shubhanshu Mishra, Jana Diesner:
PyTAIL: Interactive and Incremental Learning of NLP Models with Human in the Loop for Online Data. CoRR abs/2211.13786 (2022) - 2021
- [j6]Kyra Yee, Uthaipon Tantipongpipat, Shubhanshu Mishra:
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 450:1-450:24 (2021) - [j5]Shubhanshu Mishra:
Information extraction from digital social trace data with applications to social media and scholarly communication data. SIGWEB Newsl. 2021(Spring): 3:1-3:5 (2021) - [j4]Sudhanshu Mishra, Shivangi Prasad, Shubhanshu Mishra:
Exploring Multi-Task Multi-Lingual Learning of Transformer Models for Hate Speech and Offensive Speech Identification in Social Media. SN Comput. Sci. 2(2): 72 (2021) - [c13]Shubhanshu Mishra, Aria Haghighi:
Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction. W-NUT 2021: 381-388 - [c12]Vivek Kulkarni, Shubhanshu Mishra, Aria Haghighi:
LMSOC: An Approach for Socially Sensitive Pretraining. EMNLP (Findings) 2021: 2967-2975 - [i7]Sudhanshu Mishra, Shivangi Prasad, Shubhanshu Mishra:
Exploring multi-task multi-lingual learning of transformer models for hate speech and offensive speech identification in social media. CoRR abs/2101.11155 (2021) - [i6]Kyra Yee, Uthaipon Tantipongpipat, Shubhanshu Mishra:
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency. CoRR abs/2105.08667 (2021) - [i5]Kanyao Han, Pingjing Yang, Shubhanshu Mishra, Jana Diesner:
WikiCSSH: Extracting and Evaluating Computer Science Subject Headings from Wikipedia. CoRR abs/2109.04945 (2021) - [i4]Shubhanshu Mishra, Aria Haghighi:
Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction. CoRR abs/2110.10318 (2021) - [i3]Vivek Kulkarni, Shubhanshu Mishra, Aria Haghighi:
LMSOC: An Approach for Socially Sensitive Pretraining. CoRR abs/2110.10319 (2021) - 2020
- [b1]Shubhanshu Mishra:
Information extraction from digital social trace data with applications to social media and scholarly communication data. University of Illinois Urbana-Champaign, USA, 2020 - [j3]Nikolaus Nova Parulian, Tiffany Lu, Shubhanshu Mishra, Mihai Avram, Jana Diesner:
Effectiveness of the Execution and Prevention of Metric-Based Adversarial Attacks on Social Network Data †. Inf. 11(6): 306 (2020) - [j2]Shubhanshu Mishra:
Information extraction from digital social trace data with applications to social media and scholarly communication data. SIGIR Forum 54(1): 17:1-17:2 (2020) - [c11]Sudhanshu Mishra, Shivangi Prasad, Shubhanshu Mishra:
Multilingual Joint Fine-tuning of Transformer models for identifying Trolling, Aggression and Cyberbullying at TRAC 2020. TRAC@LREC 2020: 120-125 - [c10]Kanyao Han, Pingjing Yang, Shubhanshu Mishra, Jana Diesner:
WikiCSSH: Extracting Computer Science Subject Headings from Wikipedia. ADBIS/TPDL/EDA Workshops 2020: 207-218 - [c9]Shubhanshu Mishra:
Non-neural Structured Prediction for Event Detection from News in Indian Languages. FIRE (Working Notes) 2020: 817-822 - [i2]Shubhanshu Mishra, Sijun He, Luca Belli:
Assessing Demographic Bias in Named Entity Recognition. CoRR abs/2008.03415 (2020) - [i1]Shubhanshu Mishra, Daniel Collier:
A Framework for Generating Annotated Social Media Corpora with Demographics, Stance, Civility, and Topicality. CoRR abs/2012.05444 (2020)
2010 – 2019
- 2019
- [c8]Mihai Valentin Avram, Shubhanshu Mishra, Nikolaus Nova Parulian, Jana Diesner:
Adversarial perturbations to manipulate the perception of power and influence in networks. ASONAM 2019: 986-994 - [c7]Shubhanshu Mishra, Sudhanshu Mishra:
3Idiots at HASOC 2019: Fine-tuning Transformer Neural Networks for Hate Speech Identification in Indo-European Languages. FIRE (Working Notes) 2019: 208-213 - [c6]Shubhanshu Mishra, Jana Diesner:
Capturing Signals of Enthusiasm and Support Towards Social Issues from Twitter. SIdEWayS@HT 2019: 19-24 - [c5]Shubhanshu Mishra:
Multi-dataset-multi-task Neural Sequence Tagging for Information Extraction from Tweets. HT 2019: 283-284 - 2018
- [c4]Shubhanshu Mishra, Jana Diesner:
Detecting the Correlation between Sentiment and User-level as well as Text-Level Meta-data from Benchmark Corpora. HT 2018: 2-10 - 2016
- [j1]Shubhanshu Mishra, Vetle I. Torvik:
Quantifying Conceptual Novelty in the Biomedical Literature. D Lib Mag. 22(9/10) (2016) - [c3]Shubhanshu Mishra, Jana Diesner:
Semi-supervised Named Entity Recognition in noisy-text. NUT@COLING 2016: 203-212 - 2015
- [c2]Shubhanshu Mishra, Jana Diesner, Jason Byrne, Elizabeth Surbeck:
Sentiment Analysis with Incremental Human-in-the-Loop Learning and Lexical Resource Customization. HT 2015: 323-325 - 2014
- [c1]Shubhanshu Mishra, Sneha Agarwal, Jinlong Guo, Kirstin C. Phelps, Johna Picco, Jana Diesner:
Enthusiasm and support: alternative sentiment classification for social movements on social media. WebSci 2014: 261-262
Coauthor Index
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last updated on 2024-08-14 23:16 CEST by the dblp team
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