Papers
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
Xiangyang Liu, Tianxiang Sun, Junliang He et al.
Towards Job-Transition-Tag Graph for a Better Job Title Representation Learning
Jun Zhu, Celine Hudelot
Towards Open-Domain Topic Classification
Hantian Ding, Jinrui Yang, Yuqian Deng et al.
Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs
Xu Wang, Simin Fan, Jessica Houghton et al.
Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer
Sharan Narasimhan, Suvodip Dey, Maunendra Desarkar
Towards Toxic Positivity Detection
Ishan Sanjeev Upadhyay, KV Aditya Srivatsa, Radhika Mamidi
Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models
Patrick Huber, Giuseppe Carenini
Tracking Mental Health Risks and Coping Strategies in Healthcare Workers’ Online Conversations Across the COVID-19 Pandemic
Molly Ireland, Kaitlin Adams, Sean Farrell
Training Mixed-Domain Translation Models via Federated Learning
Peyman Passban, Tanya Roosta, Rahul Gupta et al.
Training Text-to-Text Transformers with Privacy Guarantees
Natalia Ponomareva, Jasmijn Bastings, Sergei Vassilvitskii
Transfer Learning and Masked Generation for Answer Verbalization
Sebastien Montella, Lina Rojas-Barahona, Frederic Bechet et al.
Transformers at SemEval-2022 Task 5: A Feature Extraction based Approach for Misogynous Meme Detection
Shankar Mahadevan, Sean Benhur, Roshan Nayak et al.
Transparent Human Evaluation for Image Captioning
Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan et al.
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding
Le Zhang, Zichao Yang, Diyi Yang
Trees probe deeper than strings: an argument from allomorphy
Hossep Dolatian, Shiori Ikawa, Thomas Graf
Tricks for Training Sparse Translation Models
Dheeru Dua, Shruti Bhosale, Vedanuj Goswami et al.
Triggerless Backdoor Attack for NLP Tasks with Clean Labels
Leilei Gan, Jiwei Li, Tianwei Zhang et al.
TRUE: Re-evaluating Factual Consistency Evaluation
Or Honovich, Roee Aharoni, Jonathan Herzig et al.
TSTR: Too Short to Represent, Summarize with Details! Intro-Guided Extended Summary Generation
Sajad Sotudeh, Nazli Goharian
TUG-CIC at SemEval-2021 Task 6: Two-stage Fine-tuning for Intended Sarcasm Detection
Jason Angel, Segun Aroyehun, Alexander Gelbukh
TurkishDelightNLP: A Neural Turkish NLP Toolkit
Huseyin Alecakir, Necva Bölücü, Burcu Can
Tutorial on Multimodal Machine Learning
Louis-Philippe Morency, Paul Pu Liang, Amir Zadeh
TVShowGuess: Character Comprehension in Stories as Speaker Guessing
Yisi Sang, Xiangyang Mou, Mo Yu et al.
TWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View Representations
Prashanth Vijayaraghavan, Soroush Vosoughi