Graham Neubig

Graham Neubig is a person.

• See: Kyoto Free Translation Task (KFTT), Lee-Krahmer-Wubben Data-To-Text Generation System.

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References

• Google Scholar Author Page: https://scholar.google.com/citations?user=wlosgkoAAAAJ

2024

• (Xu, Song et al., 2024) ⇒ Frank F. Xu, Yufan Song, Boxuan Li, Yuxuan Tang, Kritanjali Jain, Mengxue Bao, Zora Z. Wang, Xuhui Zhou, Zhitong Guo, Murong Cao, Mingyang Yang, Hao Yang Lu, Amaad Martin, Zhe Su, Leander Maben, Raj Mehta, Wayne Chi, Lawrence Jang, Yiqing Xie, Shuyan Zhou, and Graham Neubig. (2024). “TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks.” doi:10.48550/arXiv.2412.14161

2023

• (Jiang, Xu et al., 2023) ⇒ Zhengbao Jiang, Frank F Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, and Graham Neubig. (2023). “Active Retrieval Augmented Generation.” In: arXiv preprint arXiv:2305.06983. doi:10.48550/arXiv.2305.06983

2021

• Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

2018

• (Qi et al., 2018) ⇒ Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Padmanabhan, and Graham Neubig. (2018). “When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?.” In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018) Volume 2 (Short Papers). DOI:10.18653/v1/N18-2084 .
• (Malaviya et al., 2018) ⇒ Chaitanya Malaviya, Matthew R. Gormley, and Graham Neubig. (2018). “Neural Factor Graph Models for Cross-lingual Morphological Tagging.” In: arXiv:1805.04570 Journal.

2017

• (Neubig et al., 2017) ⇒ Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, and Pengcheng Yin. (2017). “DyNet: The Dynamic Neural Network Toolkit.” In: ePrint: arXiv:1701.03980.

2016

• (Faruqui et al., 2016) ⇒ Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, and Chris Dyer. (2016). “Morphological Inflection Generation Using Character Sequence to Sequence Learning.” In: Proceedings of the 2016 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies. DOI:10.18653/v1/N16-1077
• (Schnober et al., 2016) ⇒ Carsten Schnober, Steffen Eger, Erik-Lan Do Dinh, and Iryna Gurevych. (2016). “Still Not There? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks.” In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers.

2011

• (Neubig, 2011) ⇒ Graham Neubig (2011). "The Kyoto Free Translation Task".
• (Neubig et al., 2011) ⇒ Graham Neubig, Yosuke Nakata, and Shinsuke Mori (2011). "Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis". In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT).

2010

• (Neubig & Mori, 2010) ⇒ Graham Neubig, and Shinsuke Mori (2010). "Word-based Partial Annotation for Efficient Corpus Construction". In: Proceedings the seventh International Conference on Language Resources and Evaluation (LREC 2010).

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