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RepL4NLP - 2020
Total Papers:- 25
Total Papers accross all years:- 106
Total Citations :- 0
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Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT
Ashutosh Adhikari |
Achyudh Ram |
Raphael Tang |
William L. Hamilton |
Jimmy Lin |
Learning Probabilistic Sentence Representations from Paraphrases
Mingda Chen |
Kevin Gimpel |
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text
Lukas Lange |
Anastasiia Iurshina |
Heike Adel |
Jannik Strötgen |
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning
Mitchell Gordon |
Kevin Duh |
Nicholas Andrews |
Proceedings of the 5th Workshop on Representation Learning for NLP
Spandana Gella |
Johannes Welbl |
Marek Rei |
Fabio Petroni |
Patrick Lewis |
Emma Strubell |
Minjoon Seo |
Hannaneh Hajishirzi |
On the Choice of Auxiliary Languages for Improved Sequence Tagging
Lukas Lange |
Heike Adel |
Jannik Strötgen |
Joint Training with Semantic Role Labeling for Better Generalization in Natural Language Inference
Cemil Cengiz |
Deniz Yuret |
What’s in a Name? Are BERT Named Entity Representations just as Good for any other Name?
Sriram Balasubramanian |
Naman Jain |
Gaurav Jindal |
Abhijeet Awasthi |
Sunita Sarawagi |
On Dimensional Linguistic Properties of the Word Embedding Space
Vikas Raunak |
Vaibhav Kumar |
Vivek Gupta |
Florian Metze |
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages
Tyler A. Chang |
Anna Rafferty |
Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks
Riccardo Volpi |
Luigi Malagò |
Contextual and Non-Contextual Word Embeddings: an in-depth Linguistic Investigation
Alessio Miaschi |
Felice Dell’Orletta |
Evaluating Compositionality of Sentence Representation Models
Hanoz Bhathena |
Angelica Willis |
Nathan Dass |
Staying True to Your Word: (How) Can Attention Become Explanation?
Martin Tutek |
Jan Snajder |
Compositionality and Capacity in Emergent Languages
Abhinav Gupta |
Cinjon Resnick |
Jakob Foerster |
Andrew Dai |
Kyunghyun Cho |
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Topics
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