Publications

Papers

  1. Arya D. McCarthy, Tongfei Chen, and Seth Ebner. An exact No Free Lunch Theorem for community detection. Complex Networks 2019.
  2. Arya D. McCarthy, Tongfei Chen, Rachel Rudinger, and David W. Matula. Metrics matter in community detection. Complex Networks 2019.
  3. Juan Pino, Liezl Puzon, Jiatao Gu, Xutai Ma, Arya D. McCarthy, and Deepak Gopinath. Harnessing out-of-task data for automatic speech translation: Tricks of the trade. IWSLT 2019.
  4. Kyle Gorman, Arya D. McCarthy, Miikka Silfverberg, Ekaterina Vylomova, and Magdalena Markowska. Weird Inflects but OK: Making Sense of Morphological Generation Errors. CoNLL 2019 (to appear).
  5. Arya D. McCarthy, Winston Wu, Aaron Mueller, Bill Watson, and David Yarowsky. Modeling color terminology across thousands of languages. EMNLP 2019 (to appear).
  6. Tiago Pimentel, Arya D. McCarthy, Damian Blasi, Brian Roark, and Ryan Cotterell. Meaning to form: Measuring systematicity as information. ACL 2019.
  7. Arya D. McCarthy, Ekaterina Vylomova, Shijie Wu, Chaitanya Malaviya, Lawrence Wolf-Sonkin, Garrett Nicolai, Christo Kirov, Miikka Silfverberg, Sebastian Mielke, Jeffrey Heinz, Ryan Cotterell, and Mans Hulden. The SIGMORPHON 2019 shared task: Crosslinguality and context in morphology. SIGMORPHON 2019.
  8. Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Arya D. McCarthy, Katharina Kann, Sebastian Mielke, Garrett Nicolai, Miikka Silfverberg, David Yarowsky, Jason Eisner, and Mans Hulden. The CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. CoNLL 2018.
  9. Arya D. McCarthy, Miikka Silfverberg, Ryan Cotterell, Mans Hulden, and David Yarowsky. Marrying Universal Dependencies and Universal Morphology. Proceedings of UDW 2018.
  10. Brian Thompson, Huda Khayrallah, Antonios Anastasopoulos, Arya D. McCarthy, Kevin Duh, Rebecca Marvin, Paul McNamee, Jeremy Gwinnup, Tim Anderson, and Philipp Koehn. Freezing subnetworks to analyze domain adaptation in neural machine translation. Proceedings of WMT 2018. [arxiv]
  11. Christo Kirov, Ryan Cotterell, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Arya D. McCarthy, Sandra Kübler, David Yarowsky, Jason Eisner, and Mans Hulden. UniMorph 2.0: Universal morphology. Proceedings of LREC 2018.

Preprints

  1. Arya D. McCarthy, Xian Li, Jiatao Gu, and Ning Dong. Improved variational neural machine translation by promoting mutual information. arXiv.

Refereed Abstracts

  1. David Yarowsky, Arya D. McCarthy, Garrett Nicolai, Winston Wu, Aaron Mueller, Dylan Lewis, Yingqi Ding, Abhinav Nigam, Emre Ozgu, Debanik Purkayastha, James Scharf and Kenneth Zheng. A 1000-language Collaborative Universal Dictionary and Universal Translator. UNESCO Language Technologies for All (LT4All) 2019.

  2. Xian Li, Jiatao Gu, Ning Dong, and Arya D. McCarthy. Improved variational neural machine translation via promoting mutual information. EMNLP Workshop on Neural Generation and Translation 2019.
  3. Xian Li, Jiatao Gu, Arya D. McCarthy, and Ning Dong. Improving variational NMT by promoting mutual information. West Coast NLP Summit (WeCNLP) 2019.
  4. Arya D. McCarthy. Community Detection, The No Free Lunch Theorem, and Attack Games. SIAM Workshop on Network Science 2019.
  5. Arya D. McCarthy. An exact No Free Lunch theorem for community detection. Complex Networks (ICCNA) 2018.
  6. Arya D. McCarthy and David W. Matula. Evaluating the leximin method for community detection. Complex Networks (ICCNA) 2018.
  7. Arya D. McCarthy and David W. Matula. Normalized mutual information exaggerates community detection performance. SIAM Workshop on Network Science 2018.

Master’s thesis

  1. Arya D. McCarthy. Gridlock in networks: The leximin method for hierarchical community detection. Master’s thesis, SMU. 2017.

[last updated 2019-08-13]