Papers
Distillation of encoder-decoder transformers for sequence labelling
Marco Farina, Duccio Pappadopulo, Anant Gupta et al.
Distinguishability Calibration to In-Context Learning
Hongjing Li, Hanqi Yan, Yanran Li et al.
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer
Shanu Kumar, Soujanya Abbaraju, Sandipan Dandapat et al.
Divergence-Based Domain Transferability for Zero-Shot Classification
Alexander Pugantsov, Richard McCreadie
Diverse Content Selection for Educational Question Generation
Amir Hadifar, Semere Kiros Bitew, Johannes Deleu et al.
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation
Minghao Wu, George Foster, Lizhen Qu et al.
Document-Level Planning for Text Simplification
Liam Cripwell, Joël Legrand, Claire Gardent
Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?
Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi et al.
Do dialogue representations align with perception? An empirical study
Sarenne Wallbridge, Peter Bell, Catherine Lai
Does Manipulating Tokenization Aid Cross-Lingual Transfer? A Study on POS Tagging for Non-Standardized Languages
Verena Blaschke, Hinrich Schütze, Barbara Plank
Does Masked Language Model Pre-training with Artificial Data Improve Low-resource Neural Machine Translation?
Hiroto Tamura, Tosho Hirasawa, Hwichan Kim et al.
Does Topological Ordering of Morphological Segments Reduce Morphological Modeling Complexity? A Preliminary Study on 13 Languages
Andreas Shcherbakov, Ekaterina Vylomova
Does Transliteration Help Multilingual Language Modeling?
Ibraheem Muhammad Moosa, Mahmud Elahi Akhter, Ashfia Binte Habib
Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic Modeling
Suman Adhya, Avishek Lahiri, Debarshi Kumar Sanyal
Do not Trust the Experts - How the Lack of Standard Complicates NLP for Historical Irish
Oksana Dereza, Theodorus Fransen, John P. McCrae
Don’t Blame the Annotator: Bias Already Starts in the Annotation Instructions
Mihir Parmar, Swaroop Mishra, Mor Geva et al.
Don’t Mess with Mister-in-Between: Improved Negative Search for Knowledge Graph Completion
Fan Jiang, Tom Drummond, Trevor Cohn
Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?
Avi Shmidman, Cheyn Shmuel Shmidman, Dan Bareket et al.
Double Retrieval and Ranking for Accurate Question Answering
Zeyu Zhang, Thuy Vu, Alessandro Moschitti
Do we need Label Regularization to Fine-tune Pre-trained Language Models?
Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh et al.
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction
Youmi Ma, An Wang, Naoaki Okazaki
DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation
Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev et al.
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views
Katerina Margatina, Shuai Wang, Yogarshi Vyas et al.
Edit Aware Representation Learning via Levenshtein Prediction
Edison Marrese-taylor, Machel Reid, Alfredo Solano