Resources & Methods

IndoNLI: A Natural Language Inference Dataset for Indonesian EMNLP 2021 IndT5: A Text-to-Text Transformer for 10 Indigenous Languages NAACL 2021 Inducing Language-Agnostic Multilingual Representations ACL 2021 InFillmore: Frame-Guided Language Generation with Bidirectional Context ACL 2021 Influence Patterns for Explaining Information Flow in BERT NeurIPS 2021 InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training NAACL 2021 Injecting Descriptive Meta-Information into Pre-Trained Language Models with Hypernetworks Interspeech 2021 Intent Detection and Slot Filling for Vietnamese Interspeech 2021 InterpreT: An Interactive Visualization Tool for Interpreting Transformers EACL 2021 Intrinsic Bias Metrics Do Not Correlate with Application Bias ACL 2021 Intrinsic evaluation of language models for code-switching EMNLP 2021 Introducing Orthogonal Constraint in Structural Probes ACL 2021 InVeRo-XL: Making Cross-Lingual Semantic Role Labeling Accessible with Intelligible Verbs and Roles EMNLP 2021 Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering EMNLP 2021 Investigating variation in written forms of Nahuatl using character-based language models NAACL 2021 IrEne: Interpretable Energy Prediction for Transformers ACL 2021 IrEne-viz: Visualizing Energy Consumption of Transformer Models EMNLP 2021 IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages EMNLP 2021 IRNLP_DAIICT@LT-EDI-EACL2021: Hope Speech detection in Code Mixed text using TF-IDF Char N-grams and MuRIL EACL 2021 Is Domain Adaptation Worth Your Investment? Comparing BERT and FinBERT on Financial Tasks EMNLP 2021 Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models NAACL 2021 IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization AAAI 2021 Is Sparse Attention more Interpretable? ACL 2021 ITNLP at SemEval-2021 Task 11: Boosting BERT with Sampling and Adversarial Training for Knowledge Extraction SemEval 2021 It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners NAACL 2021