Papers
The USMLE® Step 2 Clinical Skills Patient Note Corpus
Victoria Yaneva, Janet Mee, Le Ha et al.
The Why and The How: A Survey on Natural Language Interaction in Visualization
Henrik Voigt, Ozge Alacam, Monique Meuschke et al.
TIB-VA at SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous Memes
Sherzod Hakimov, Gullal Singh Cheema, Ralph Ewerth
TIE: Topological Information Enhanced Structural Reading Comprehension on Web Pages
Zihan Zhao, Lu Chen, Ruisheng Cao et al.
Time Waits for No One! Analysis and Challenges of Temporal Misalignment
Kelvin Luu, Daniel Khashabi, Suchin Gururangan et al.
TLDR at SemEval-2022 Task 1: Using Transformers to Learn Dictionaries and Representations
Aditya Srivastava, Harsha Vardhan Vemulapati
To Answer or Not To Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning
Yunjie Ji, Liangyu Chen, Chenxiao Dou et al.
Toward Automatic Discourse Parsing of Student Writing Motivated by Neural Interpretation
James Fiacco, Shiyan Jiang, David Adamson et al.
Towards a Multi-Entity Aspect-Based Sentiment Analysis for Characterizing Directed Social Regard in Online Messaging
Joan Zheng, Scott Friedman, Sonja Schmer-galunder et al.
Towards an open-domain chatbot for language practice
Gladys Tyen, Mark Brenchley, Andrew Caines et al.
Towards a Progression-Aware Autonomous Dialogue Agent
Abraham Sanders, Tomek Strzalkowski, Mei Si et al.
Towards Automatic Generation of Messages Countering Online Hate Speech and Microaggressions
Mana Ashida, Mamoru Komachi
Towards Automatic Short Answer Assessment for Finnish as a Paraphrase Retrieval Task
Li-Hsin Chang, Jenna Kanerva, Filip Ginter
Towards Capturing Changes in Mood and Identifying Suicidality Risk
Sravani Boinepelli, Shivansh Subramanian, Abhijeeth Singam et al.
Towards Computationally Feasible Deep Active Learning
Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin et al.
Towards Debiasing Translation Artifacts
Koel Dutta Chowdhury, Rricha Jalota, Cristina España-Bonet et al.
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