Shubhanshu Mishra

40 papers A* 2A 1B 1Journal 20Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Revisiting gender bias research in bibliometrics: Standardizing methodological variability using Scholarly Data Analysis (SoDA) Cards.
CoRR
Haejin Lee, Shubhanshu Mishra, Apratim Mishra, Zhiwen You, Jinseok Kim, Jana Diesner
2024 J jnl
Beyond Binary Gender Labels: Revealing Gender Biases in LLMs through Gender-Neutral Name Predictions.
CoRR
Zhiwen You, Haejin Lee, Shubhanshu Mishra, Sullam Jeoung, Apratim Mishra, Jinseok Kim, Jana Diesner
2022 J jnl
BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing.
CoRR
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
2022 A* conf
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing.
NeurIPS
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
2022 — conf
Information Extraction from Social Media: A Hands-On Tutorial on Tasks, Data, and Open Source Tools.
ECIR (2)
Shubhanshu Mishra, Rezvaneh Rezapour, Jana Diesner
2022 A conf
Information Extraction from Social Media: A Hands-on Tutorial on Tasks, Data, and Open Source Tools.
CIKM
Shubhanshu Mishra, Rezvaneh Rezapour, Jana Diesner
2022 — conf
NTULM: Enriching Social Media Text Representations with Non-Textual Units.
W-NUT@COLING
Jinning Li, Shubhanshu Mishra, Ahmed El-Kishky, Sneha Mehta, Vivek Kulkarni
2022 J jnl
NTULM: Enriching Social Media Text Representations with Non-Textual Units.
CoRR
Jinning Li, Shubhanshu Mishra, Ahmed El-Kishky, Sneha Mehta, Vivek Kulkarni
2022 J jnl
PyTAIL: Interactive and Incremental Learning of NLP Models with Human in the Loop for Online Data.
CoRR
Shubhanshu Mishra, Jana Diesner
2022 — conf
Robust Candidate Generation for Entity Linking on Short Social Media Texts.
W-NUT@COLING
Liam Hebert, Raheleh Makki, Shubhanshu Mishra, Hamidreza Saghir, Anusha Kamath, Yuval Merhav
2022 J jnl
Robust Candidate Generation for Entity Linking on Short Social Media Texts.
CoRR
Liam Hebert, Raheleh Makki, Shubhanshu Mishra, Hamidreza Saghir, Anusha Kamath, Yuval Merhav
2022 A* conf
TweetNERD - End to End Entity Linking Benchmark for Tweets.
NeurIPS
Shubhanshu Mishra, Aman Saini, Raheleh Makki, Sneha Mehta, Aria Haghighi, Ali Mollahosseini
2022 J jnl
TweetNERD - End to End Entity Linking Benchmark for Tweets.
CoRR
Shubhanshu Mishra, Aman Saini, Raheleh Makki, Sneha Mehta, Aria Haghighi, Ali Mollahosseini
2021 J jnl
Exploring Multi-Task Multi-Lingual Learning of Transformer Models for Hate Speech and Offensive Speech Identification in Social Media.
SN Comput. Sci.
Sudhanshu Mishra, Shivangi Prasad, Shubhanshu Mishra
2021 J jnl
Exploring multi-task multi-lingual learning of transformer models for hate speech and offensive speech identification in social media.
CoRR
Sudhanshu Mishra, Shivangi Prasad, Shubhanshu Mishra
2021 J jnl
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency.
CoRR
Kyra Yee, Uthaipon Tantipongpipat, Shubhanshu Mishra
2021 J jnl
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency.
Proc. ACM Hum. Comput. Interact.
Kyra Yee, Uthaipon Tantipongpipat, Shubhanshu Mishra
2021 — conf
Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction.
W-NUT
Shubhanshu Mishra, Aria Haghighi
2021 J jnl
Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction.
CoRR
Shubhanshu Mishra, Aria Haghighi
2021 J jnl
Information extraction from digital social trace data with applications to social media and scholarly communication data.
SIGWEB Newsl.
Shubhanshu Mishra
2021 — conf
LMSOC: An Approach for Socially Sensitive Pretraining.
EMNLP (Findings)
Vivek Kulkarni, Shubhanshu Mishra, Aria Haghighi
2021 J jnl
LMSOC: An Approach for Socially Sensitive Pretraining.
CoRR
Vivek Kulkarni, Shubhanshu Mishra, Aria Haghighi
2021 J jnl
WikiCSSH: Extracting and Evaluating Computer Science Subject Headings from Wikipedia.
CoRR
Kanyao Han, Pingjing Yang, Shubhanshu Mishra, Jana Diesner
2020 J jnl
A Framework for Generating Annotated Social Media Corpora with Demographics, Stance, Civility, and Topicality.
CoRR
Shubhanshu Mishra, Daniel Collier
2020 J jnl
Assessing Demographic Bias in Named Entity Recognition.
CoRR
Shubhanshu Mishra, Sijun He, Luca Belli
2020 J jnl
Effectiveness of the Execution and Prevention of Metric-Based Adversarial Attacks on Social Network Data †.
Inf.
Nikolaus Nova Parulian, Tiffany Lu, Shubhanshu Mishra, Mihai Avram, Jana Diesner
2020 — —
Information extraction from digital social trace data with applications to social media and scholarly communication data
Shubhanshu Mishra
2020 J jnl
Information extraction from digital social trace data with applications to social media and scholarly communication data.
SIGIR Forum
Shubhanshu Mishra
2020 — conf
Multilingual Joint Fine-tuning of Transformer models for identifying Trolling, Aggression and Cyberbullying at TRAC 2020.
TRAC@LREC
Sudhanshu Mishra, Shivangi Prasad, Shubhanshu Mishra
2020 — conf
Non-neural Structured Prediction for Event Detection from News in Indian Languages.
FIRE (Working Notes)
Shubhanshu Mishra
2020 — conf
WikiCSSH: Extracting Computer Science Subject Headings from Wikipedia.
ADBIS/TPDL/EDA Workshops
Kanyao Han, Pingjing Yang, Shubhanshu Mishra, Jana Diesner
2019 — conf
3Idiots at HASOC 2019: Fine-tuning Transformer Neural Networks for Hate Speech Identification in Indo-European Languages.
FIRE (Working Notes)
Shubhanshu Mishra, Sudhanshu Mishra
2019 B conf
Adversarial perturbations to manipulate the perception of power and influence in networks.
ASONAM
Mihai Valentin Avram, Shubhanshu Mishra, Nikolaus Nova Parulian, Jana Diesner
2019 — conf
Capturing Signals of Enthusiasm and Support Towards Social Issues from Twitter.
SIdEWayS@HT
Shubhanshu Mishra, Jana Diesner
2019 — conf
Multi-dataset-multi-task Neural Sequence Tagging for Information Extraction from Tweets.
HT
Shubhanshu Mishra
2018 — conf
Detecting the Correlation between Sentiment and User-level as well as Text-Level Meta-data from Benchmark Corpora.
HT
Shubhanshu Mishra, Jana Diesner
2016 J jnl
Quantifying Conceptual Novelty in the Biomedical Literature.
D Lib Mag.
Shubhanshu Mishra, Vetle I. Torvik
2016 — conf
Semi-supervised Named Entity Recognition in noisy-text.
NUT@COLING
Shubhanshu Mishra, Jana Diesner
2015 — conf
Sentiment Analysis with Incremental Human-in-the-Loop Learning and Lexical Resource Customization.
HT
Shubhanshu Mishra, Jana Diesner, Jason Byrne, Elizabeth Surbeck
2014 — conf
Enthusiasm and support: alternative sentiment classification for social movements on social media.
WebSci
Shubhanshu Mishra, Sneha Agarwal, Jinlong Guo, Kirstin C. Phelps, Johna Picco, Jana Diesner