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We present IndoNLI, the first human-elicited NLI dataset for Indonesian.
The pascal recognising textual entailment challenge
Ido Dagan, Oren Glickman, and Bernardo Magnini. 2005 · 2005
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Farstail: A persian natural language inference
Hossein Amirkhani, Mohammad Azari Jafari, Azadeh Amirak, Zohreh Pourjafari, Jahromi Soroush Faridan, and Zeinab Kouhkan. 2020 · 2009
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Building textual entailment specialized data sets: a methodology for isolating linguistic phenomena relevant to inference
Luisa Bentivogli, Elena Cabrio, Ido Dagan, Danilo Giampiccolo, Medea Lo Leggio, and Bernardo Magnini. 2010 · 2010
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Anlizing the adversarial natural language inference dataset
Adina Williams, Tristan Thrush, and Douwe Kiela. 2020 · 2010
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A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015
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Adam: A method for stochastic optimization
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Reasoning about quantities in natural language
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Inarte: An indonesian dataset for recognition textual entailment
Abdiansah Abdiansah, Azhari Azhari, and Anny Kartika Sari. 2018 · 2018
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Data statements for natural language processing: Toward mitigating system bias and enabling better science
Emily M. Bender and Batya Friedman. 2018 · 2018
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XNLI: Evaluating cross-lingual sentence representations
Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel Bowman, Holger Schwenk, and Veselin Stoyanov. 2018 · 2018
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Breaking NLI systems with sentences that require simple lexical inferences
Max Glockner, Vered Shwartz, and Yoav Goldberg. 2018 · 2018
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Annotation artifacts in natural language inference data
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel Bowman, and Noah A. Smith. 2018 · 2018
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Marian: Fast neural machine translation in C++
Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, Hieu Hoang, Kenneth Heafield, Tom Neckermann, Frank Seide, Ulrich Germann, Alham Fikri Aji, Nikolay Bogoychev, André F. T. Martins, and Alexandra Birch. 2018 · 2018
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Indosum: A new benchmark dataset for indonesian text summarization
Kemal Kurniawan and Samuel Louvan. 2018 · 2018
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Stress test evaluation for natural language inference
Aakanksha Naik, Abhilasha Ravichander, Norman Sadeh, Carolyn Rose, and Graham Neubig. 2018 · 2018
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Collecting diverse natural language inference problems for sentence representation evaluation
Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, and Benjamin Van Durme. 2018a · 2018
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Semi-supervised textual entailment on indonesian wikipedia data
Ken Nabila Setya and Rahmad Mahendra. 2018 · 2018
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Performance impact caused by hidden bias of training data for recognizing textual entailment
Masatoshi Tsuchiya. 2018 · 2018
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GLUE: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman. 2018 · 2018
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OCNLI: Original Chinese Natural Language Inference
Hai Hu, Kyle Richardson, Liang Xu, Lu Li, Sandra Kübler, and Lawrence Moss. 2020 · 2020
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TaxiNLI: Taking a ride up the NLU hill
Pratik Joshi, Somak Aditya, Aalok Sathe, and Monojit Choudhury. 2020 · 2020
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A new dataset for natural language inference from code-mixed conversations
Simran Khanuja, Sandipan Dandapat, Sunayana Sitaram, and Monojit Choudhury. 2020 · 2020
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Indolem and indobert: A benchmark dataset and pre-trained language model for indonesian nlp
Fajri Koto, Afshin Rahimi, Jey Han Lau, and Timothy Baldwin. 2020 · 2020
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ALBERT: A lite BERT for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2020 · 2020
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A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel Bowman. 2018 · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Probing what different NLP tasks teach machines about function word comprehension
Najoung Kim, Roma Patel, Adam Poliak, Patrick Xia, Alex Wang, Tom McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, and Ellie Pavlick. 2019 · 2019
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Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference
Tom McCoy, Ellie Pavlick, and Tal Linzen. 2019 · 2019
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Human vs. muppet: A conservative estimate of human performance on the GLUE benchmark
Nikita Nangia and Samuel R. Bowman. 2019 · 2019
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
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EQUATE: A benchmark evaluation framework for quantitative reasoning in natural language inference
Abhilasha Ravichander, Aakanksha Naik, Carolyn Rose, and Eduard Hovy. 2019 · 2019
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How can we accelerate progress towards human-like linguistic generalization?
Tal Linzen. 2020 · 2020
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Adversarial NLI: A new benchmark for natural language understanding
Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, and Douwe Kiela. 2020 · 2020
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A monolingual approach to contextualized word embeddings for mid-resource languages
Pedro Javier Ortiz Suárez, Laurent Romary, and Benoît Sagot. 2020 · 2020
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Probing natural language inference models through semantic fragments
Kyle Richardson, Hai Hu, Lawrence S. Moss, and Ashish Sabharwal. 2020 · 2020
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ConjNLI: Natural language inference over conjunctive sentences
Swarnadeep Saha, Yixin Nie, and Mohit Bansal. 2020 · 2020
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The framework of multiword expression in Indonesian language
Totok Suhardijanto, Rahmad Mahendra, Zahroh Nuriah, and Adi Budiwiyanto. 2020 · 2020
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Temporal reasoning in natural language inference
Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, Benjamin Van Durme, and Aaron Steven White. 2020 · 2020
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IndoNLU: Benchmark and resources for evaluating Indonesian natural language understanding
Bryan Wilie, Karissa Vincentio, Genta Indra Winata, Samuel Cahyawijaya, Xiaohong Li, Zhi Yuan Lim, Sidik Soleman, Rahmad Mahendra, Pascale Fung, Syafri Bahar, and Ayu Purwarianti. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John Ortega, Ricardo Ramos, Annette Rios, Ivan Vladimir, Gustavo A. Gimenez-Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando A. Coto Solano, Ngoc Thang Vu, and Katharina Kann. 2021 · 2021
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Feature-rich classifiers for recognizing textual entailment in indonesian
Rani Aulia Hidayat, Isnaini Nurul Khasanah, Wava Carissa Putri, and Rahmad Mahendra. 2021 · 2021
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SICK-NL: A dataset for Dutch natural language inference
Gijs Wijnholds and Michael Moortgat. 2021 · 2021
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