Accepted Papers
- On Isotropy Calibration of Transformer Models
Yue Ding, Karolis Martinkus, Damian Pascual, Simon Clematide and Roger Wattenhofer
- Do Dependency Relations Help in the Task of Stance Detection?
Alessandra Teresa Cignarella, Cristina Bosco and Paolo Rosso
- Evaluating the Practical Utility of Confidence-score based Techniques for Unsupervised Open-world Classification
Sopan Khosla and Rashmi Gangadharaiah
- Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomains
Chenyang Lyu, Jennifer Foster and Yvette Graham
- What Do You Get When You Cross Beam Search with Nucleus Sampling?
Uri Shaham and Omer Levy
- How Much Do Modifications to Transformer Language Models Affect Their Ability to Learn Linguistic Knowledge?
Simeng Sun, Brian Dillon and Mohit Iyyer
- Cross-lingual Inflection as a Data Augmentation Method for Parsing
Alberto Mu˜noz-Ortiz, Carlos G´omez-Rodr´ıguez and David Vilares
- Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification
Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani and Dietrich Klakow
- Ancestor-to-Creole Transfer is Not a Walk in the Park
Heather Lent, Emanuele Bugliarello and Anders Søgaard
- What GPT Knows About Who is Who
Xiaohan Yang, Eduardo Peynetti, Vasco Meerman and Chris Tanner
- Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks
Goonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene, Hong Yung Yip, Vishesh Javangula,
Amit P. Sheth, Srinivasan Parthasarathy and Olivier Bodenreider
- On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing
Itsuki Okimura, Machel Reid, Makoto Kawano and Yutaka Matsuo
- Can Question Rewriting Help Conversational Question Answering?
Etsuko Ishii, Yan Xu, Samuel Cahyawijaya and Bryan Wilie
- Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory
Pedro Rodriguez, Phu Mon Htut, John P. Lalor and Jo˜ao Sedoc
- On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets
Hyounghun Kim, Aishwarya Padmakumar, Di Jin, Mohit Bansal and Dilek Hakkani-Tur
- Do Data-based Curricula Work?
Maxim K. Surkov, Vladislav D. Mosin and Ivan P. Yamshchikov
- The Document Vectors Using Cosine Similarity Revisited
Zhang Bingyu and Nikolay Arefyev
- Challenges in including extra-linguistic context in pre-trained language models
Ionut Teodor Sorodoc, Laura Aina and Gemma Boleda
- Label Errors in BANKING77
Cecilia Ying and Stephen Thomas
- Pathologies of Pre-trained Language Models in Few-shot Fine-tuning
Hanjie Chen, Guoqing Zheng, Ahmed Hassan Awadallah and Yangfeng Ji
- An Empirical study to understand the Compositional Prowess of Neural Dialog Models
Vinayshekhar Bannihatti Kumar, Vaibhav Kumar, Mukul Bhutani and Alexander Rudnicky
- Combining Extraction and Generation for Constructing Belief-Consequence Causal Links
Maria Alexeeva, Allegra A. Beal A. Beal and Mihai Surdeanu
- Replicability under Near-Perfect Conditions – A Case-Study from Automatic Summarization
Margot Mieskes
- BPE beyond Word Boundary: How NOT to use Multi Word Expressions in Neural Machine Translation
Dipesh Kumar and Avijit Thawani
- Pre-trained language models evaluating themselves - A comparative study
Philipp Koch, Matthias Aßenmacher and Christian Heumann