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We present the MASSIVE dataset--Multilingual Amazon Slu resource package (SLURP) for Slot-filling, Intent classification, and Virtual assistant Evaluation.
Bert for joint intent classification and slot filling
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Inducing multilingual text analysis tools via robust projection across aligned corpora
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Talking to machines (statistically speaking)
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Human language technology resources for less commonly taught languages: Lessons learned toward creation of basic language resources
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Links that speak: The global language network and its association with global fame
Shahar Ronen, Bruno Gonçalves, Kevin Z. Hu, Alessandro Vespignani, Steven Pinker, and César A. Hidalgo. 2014 · 2014
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Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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LORELEI language packs: Data, tools, and resources for technology development in low resource languages
Stephanie Strassel and Jennifer Tracey. 2016 · 2016
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2017 · 2017
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Cheap translation for cross-lingual named entity recognition
Stephen Mayhew, Chen-Tse Tsai, and Dan Roth. 2017 · 2017
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Cross-lingual name tagging and linking for 282 languages
Xiaoman Pan, Boliang Zhang, Jonathan May, Joel Nothman, Kevin Knight, and Heng Ji. 2017 · 2017
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Jacob Devlin. 2018 · 2018
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Akiko Eriguchi, Melvin Johnson, Orhan Firat, Hideto Kazawa, and Wolfgang Macherey. 2018 · 2018
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Sonal Gupta, Rushin Shah, Mrinal Mohit, Anuj Kumar, and Mike Lewis. 2018 · 2018
Cross-lingual ability of multilingual bert: An empirical study
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Low resource neural machine translation: A benchmark for five african languages
Surafel M. Lakew, Matteo Negri, and Marco Turchi. 2020 · 2020
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Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida Wang, and Luke Zettlemoyer. 2020 · 2020
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Multilingual denoising pre-training for neural machine translation
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Tune: A research platform for distributed model selection and training
Richard Liaw, Eric Liang, Robert Nishihara, Philipp Moritz, Joseph E Gonzalez, and Ion Stoica. 2018 · 2018
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A multi-task approach to learning multilingual representations
Karan Singla, Dogan Can, and Shrikanth Narayanan. 2018 · 2018
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(almost) zero-shot cross-lingual spoken language understanding
Shyam Upadhyay, Manaal Faruqui, Gokhan Tür, Hakkani-Tür Dilek, and Larry Heck. 2018 · 2018
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Neural cross-lingual named entity recognition with minimal resources
Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, and Jaime Carbonell. 2018 · 2018
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Cross-lingual language model pretraining
Guillaume Lample and Alexis Conneau. 2019 · 2019
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Speech Model Pre-Training for End-to-End Spoken Language Understanding
Loren Lugosch, Mirco Ravanelli, Patrick Ignoto, Vikrant Singh Tomar, and Yoshua Bengio. 2019 · 2019
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How multilingual is multilingual BERT?
Telmo Pires, Eva Schlinger, and Dan Garrette. 2019 · 2019
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Alexandre Magueresse, Vincent Carles, and Evan Heetderks. 2020 · 2020
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Investigating an approach for low resource language dataset creation, curation and classification: Setswana and sepedi
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Don’t parse, generate! a sequence to sequence architecture for task-oriented semantic parsing
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New alexa features: Interactive teaching by customers
Govind Thattai, Gokhan Tur, and Prem Natarajan. 2020 · 2020
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Exploring cross-lingual transfer learning with unsupervised machine translation
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Transformers: State-of-the-art natural language processing
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End-to-end slot alignment and recognition for cross-lingual NLU
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Leveraging parsbert and pretrained mt5 for persian abstractive text summarization
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The flores-101 evaluation benchmark for low-resource and multilingual machine translation
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Parsinlu: A suite of language understanding challenges for persian
Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, and Yadollah Yaghoobzadeh. 2021 · 2021
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MTOP: A comprehensive multilingual task-oriented semantic parsing benchmark
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Translate & Fill: Improving zero-shot multilingual semantic parsing with synthetic data
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mT5: A massively multilingual pre-trained text-to-text transformer
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Alexa teacher model: Pretraining and distilling multi-billion-parameter encoders for natural language understanding systems)
Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudre, Dilek Hakkani-Tur, Wael Hamza, Jonathan Hueser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gokhan Tur, and Prem Natarajan. 2022 · 2022
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Ethnologue: Languages of the World , twenty-fifth edition
Gary Simons, editor. 2022 · 2022
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