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ORCID2nd SustaiNLP@EMNLP 2021: Virtual
- Nafise Sadat Moosavi
, Iryna Gurevych, Angela Fan, Thomas Wolf, Yufang Hou, Ana Marasovic, Sujith Ravi:
Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing, SustaiNLP@EMNLP 2021, Virtual, November 10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-955917-01-8 - Zachary Zhou, Jeffery Kline, Devin Conathan, Glenn Fung:
Low Resource Quadratic Forms for Knowledge Graph Embeddings. 1-10 - Nesrine Bannour, Sahar Ghannay, Aurélie Névéol, Anne-Laure Ligozat:
Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools. 11-21 - Saleh Soltan, Haidar Khan, Wael Hamza:
Limitations of Knowledge Distillation for Zero-shot Transfer Learning. 22-31 - Sungho Jeon, Michael Strube:
Countering the Influence of Essay Length in Neural Essay Scoring. 32-38 - Ankit Gupta, Guy Dar, Shaya Goodman, David Ciprut, Jonathan Berant:
Memory-efficient Transformers via Top-k Attention. 39-52 - Yi Liu, Guoan Zhang, Puning Yu, Jianlin Su, Shengfeng Pan:
BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models. 53-57 - Georgios Sidiropoulos, Nikos Voskarides, Svitlana Vakulenko, Evangelos Kanoulas:
Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering. 58-63 - Yue Zhang, Chengcheng Hu, Yuqi Liu, Hui Fang, Jimmy Lin:
Learning to Rank in the Age of Muppets: Effectiveness-Efficiency Tradeoffs in Multi-Stage Ranking. 64-73 - Maria Glenski, William Sealy, Kate Miller, Dustin Arendt:
Improving Synonym Recommendation Using Sentence Context. 74-78 - Gengyu Wang, Xiaochen Hou, Diyi Yang, Kathleen R. McKeown, Jing Huang:
Semantic Categorization of Social Knowledge for Commonsense Question Answering. 79-85 - Lovre Torbarina, Velimir Mihelcic, Bruno Sarlija, Lukasz Roguski, Zeljko Kraljevic:
Speeding Up Transformer Training By Using Dataset Subsampling - An Exploratory Analysis. 86-95 - Lucas Høyberg Puvis de Chavannes, Mads Guldborg Kjeldgaard Kongsbak, Timmie Rantzau, Leon Derczynski:
Hyperparameter Power Impact in Transformer Language Model Training. 96-118 - Haoyu He, Xingjian Shi, Jonas Mueller, Sheng Zha, Mu Li, George Karypis:
Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing. 119-133 - Zilun Peng, Akshay Budhkar, Ilana Tuil, Jason Levy, Parinaz Sobhani, Raphael Cohen, Jumana Nassour:
Shrinking Bigfoot: Reducing wav2vec 2.0 footprint. 134-141 - Ameeta Agrawal, Suresh Singh, Lauren Schneider, Michael Samuels:
On the Role of Corpus Ordering in Language Modeling. 142-154 - Vin Sachidananda, Jason S. Kessler, Yi'an Lai:
Efficient Domain Adaptation of Language Models via Adaptive Tokenization. 155-165 - Ankur Gupta, Vivek Gupta:
Unsupervised Contextualized Document Representation. 166-173
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