Workshop on Representation Learning for NLP 2021: all accepted papers
- In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval ↗Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin122 citations
- Larger-Scale Transformers for Multilingual Masked Language ModelingNaman Goyal, Jingfei Du, Myle Ott et al.83 citations · our summary
- Scaling Deep Contrastive Learning Batch Size under Memory Limited SetupLuyu Gao, Yunyi Zhang, Jiawei Han et al.64 citations · our summary
- Entity and Evidence Guided Document-Level Relation Extraction ↗Kevin Huang, Peng Qi, Guangtao Wang et al.39 citations
- Deriving Contextualised Semantic Features from BERT (and Other Transformer Model) Embeddings ↗Jacob Turton, Robert Elliott Smith, David Vinson29 citations
- Preserving Cross-Linguality of Pre-trained Models via Continual Learning ↗Zihan Liu, Genta Indra Winata, Andrea Madotto et al.14 citations
- Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions ↗Damai Dai, Hua Zheng, Fuli Luo et al.13 citations
- Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models ↗Matteo Alleman, Jonathan Mamou, Miguel A Del Rio et al.11 citations
- NPVec1: Word Embeddings for Nepali - Construction and Evaluation ↗Pravesh Koirala, Nobal B. Niraula10 citations
- Probing Multilingual Language Models for Discourse ↗Murathan Kurfalı, Robert Östling10 citations
- Revisiting Pretraining with Adapters ↗Seungwon Kim, Alex Shum, Nathan Susanj et al.9 citations
- Structure-aware Sentence Encoder in Bert-Based Siamese Network ↗Qiwei Peng, David Weir, Julie Weeds7 citations
- X2Parser: Cross-Lingual and Cross-Domain Framework for Task-Oriented Compositional Semantic Parsing ↗Zihan Liu, Genta Indra Winata, Peng Xu et al.7 citations
- Comprehension Based Question Answering using Bloom's Taxonomy ↗Pritish Sahu, Michael Cogswell, Ajay Divakaran et al.6 citations
- An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation ↗Han Guo, Ramakanth Pasunuru, Mohit Bansal5 citations
- Direction is what you need: Improving Word Embedding Compression in Large Language Models ↗Klaudia Bałazy, Mohammadreza Banaei, Rémi Lebret et al.5 citations
- Zero-shot Sequence Labeling for Transformer-based Sentence Classifiers ↗Kamil Bujel, Helen Yannakoudakis, Marek Rei5 citations
- Knodle: Modular Weakly Supervised Learning with PyTorch ↗Anastasiia Sedova, Andreas Stephan, Marina Speranskaya et al.4 citations
- Knowledge Informed Semantic Parsing for Conversational Question Answering ↗Raghuveer Thirukovalluru, Mukund Sridhar, Dung Thai et al.4 citations
- Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting ↗Irene Li, Prithviraj Sen, Huaiyu Zhu et al.3 citations
- Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders ↗Victor Prokhorov, Yingzhen Li, Ehsan Shareghi et al.3 citations
- Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets ↗Lan Zhang, Victor Prokhorov, Ehsan Shareghi3 citations
- Box-To-Box Transformations for Modeling Joint Hierarchies ↗Shib Sankar Dasgupta, Xiang Lorraine Li, Michael Boratko et al.2 citations
- Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection ↗Yixiao Wang, Zied Bouraoui, Luis Espinosa Anke et al.2 citations
- Predicting the Success of Domain Adaptation in Text Similarity ↗Nick Pogrebnyakov, Shohreh Shaghaghian2 citations
- Text Style Transfer: Leveraging a Style Classifier on Entangled Latent Representations ↗Xiaoyan Li, Sun Sun, Yunli Wang2 citations
- Probing Cross-Modal Representations in Multi-Step Relational Reasoning ↗Iuliia Parfenova, Desmond Elliott, Raquel Fernández et al.1 citation
- Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations ↗Dung Thai, Raghuveer Thirukovalluru, Trapit Bansal et al.1 citation
- Syntagmatic Word Embeddings for Unsupervised Learning of Selectional Preferences ↗Renjith P. Ravindran, Akshay Badola, Narayana Kavi Murthy1 citation
- Temporal-aware Language Representation Learning From Crowdsourced Labels ↗Yang Hao, Xiao Zhai, Wenbiao Ding et al.1 citation
- Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation ↗Abiola Obamuyide, Marina Fomicheva, Lucia Specia
- Learn The Big Picture: Representation Learning for Clustering ↗Sumanta Kashyapi, Laura Dietz
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