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Computational Linguistics 2022: all accepted papers

40 papers · the most cited first · ← Computational Linguistics 2022

  1. Annotation Curricula to Implicitly Train Non-Expert Annotators ↗Ji-Ung Lee, Jan-Christoph Klie, Iryna Gurevych
  2. Challenges of Neural Machine Translation for Short Texts ↗Yu Wan, Baosong Yang, Derek Fai Wong et al.
  3. Deep Learning for Text Style Transfer: A Survey ↗Di Jin, Zhijing Jin, Zhiting Hu et al.
  4. Effective Approaches to Neural Query Language Identification ↗Xingzhang Ren, Baosong Yang, Dayiheng Liu et al.
  5. Enhancing Lifelong Language Learning by Improving Pseudo-Sample Generation ↗Kasidis Kanwatchara, Thanapapas Horsuwan, Piyawat Lertvittayakumjorn et al.
  6. Improved N-Best Extraction with an Evaluation on Language Data ↗Johanna Björklund, Frank Drewes, Anna Jonsson
  7. Information Theory–based Compositional Distributional Semantics ↗Enrique Amigó, Alejandro Ariza-Casabona, Victor Fresno et al.
  8. Neural Embedding Allocation: Distributed Representations of Topic Models ↗Kamrun Naher Keya, Yannis Papanikolaou, James R. Foulds
  9. Novelty Detection: A Perspective from Natural Language Processing ↗Tirthankar Ghosal, Tanik Saikh, Tameesh Biswas et al.
  10. Nucleus Composition in Transition-based Dependency ParsingJoakim Nivre, Ali Basirat, Luise Dürlich et al.our summary
  11. Obituary: Martin Kay ↗Ronald M. Kaplan, Hans Uszkoreit
  12. Position Information in Transformers: An Overview ↗Philipp Dufter, Martin Schmitt, Hinrich Schütze
  13. Survey of Low-Resource Machine TranslationBarry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone et al.our summary
  14. Tractable Parsing for CCGs of Bounded Degree ↗Lena Katharina Schiffer, Marco Kuhlmann, Giorgio Satta

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