Papers
Towards a morphological transducer and orthography converter for Western Tlacolula Valley Zapotec
Jonathan Washington, Felipe Lopez, Brook Lillehaugen
Towards Automating Medical Scribing : Clinic Visit Dialogue2Note Sentence Alignment and Snippet Summarization
Wen-wai Yim, Meliha Yetisgen
Towards Benchmarking the Utility of Explanations for Model Debugging
Maximilian Idahl, Lijun Lyu, Ujwal Gadiraju et al.
Towards BERT-based Automatic ICD Coding: Limitations and Opportunities
Damian Pascual, Sandro Luck, Roger Wattenhofer
Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution
Xavier Garcia, Noah Constant, Ankur Parikh et al.
Towards Few-shot Fact-Checking via Perplexity
Nayeon Lee, Yejin Bang, Andrea Madotto et al.
Towards integrated, interactive, and extensible text data analytics with Leam
Peter Griggs, Cagatay Demiralp, Sajjadur Rahman
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models
Mengnan Du, Varun Manjunatha, Rajiv Jain et al.
Towards Layered Events and Schema Representations in Long Documents
Hans Ole Hatzel, Chris Biemann
Towards Low-Resource Real-Time Assessment of Empathy in Counselling
Zixiu Wu, Rim Helaoui, Diego Reforgiato Recupero et al.
Towards Modeling the Style of Translators in Neural Machine Translation
Yue Wang, Cuong Hoang, Marcello Federico
Towards Multi-Modal Text-Image Retrieval to improve Human Reading
Florian Schneider, Özge Alaçam, Xintong Wang et al.
Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter
Tulika Saha, Apoorva Upadhyaya, Sriparna Saha et al.
Towards the Development of Speech-Based Measures of Stress Response in Individuals
Archna Bhatia, Toshiya Miyatsu, Peter Pirolli
Towards Understanding the Role of Gender in Deploying Social Media-Based Mental Health Surveillance Models
Eli Sherman, Keith Harrigian, Carlos Aguirre et al.
Training Data Augmentation for Code-Mixed Translation
Abhirut Gupta, Aditya Vavre, Sunita Sarawagi
Training Language Models under Resource Constraints for Adversarial Advertisement Detection
Eshwar Shamanna Girishekar, Shiv Surya, Nishant Nikhil et al.
Transformer-based Multi-Task Learning for Adverse Effect Mention Analysis in Tweets
George-Andrei Dima, Dumitru-Clementin Cercel, Mihai Dascalu
Transformer-based Screenplay Summarization Using Augmented Learning Representation with Dialogue Information
Myungji Lee, Hongseok Kwon, Jaehun Shin et al.
Transformers to Fight the COVID-19 Infodemic
Lasitha Uyangodage, Tharindu Ranasinghe, Hansi Hettiarachchi
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors
Zeyu Yun, Yubei Chen, Bruno Olshausen et al.
Translate and Classify: Improving Sequence Level Classification for English-Hindi Code-Mixed Data
Devansh Gautam, Kshitij Gupta, Manish Shrivastava
Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research
Denis Newman-Griffis, Jill Fain Lehman, Carolyn Rosé et al.
Transliteration for Low-Resource Code-Switching Texts: Building an Automatic Cyrillic-to-Latin Converter for Tatar
Chihiro Taguchi, Yusuke Sakai, Taro Watanabe
TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference
Deming Ye, Yankai Lin, Yufei Huang et al.