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Sheng Zhang

Sheng Zhang

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JHU, Computer Science , 2015 -- ...
PhD advisee (coadvisor Kevin Duh secondary)


Co-authored Publications

  1. Hongyuan Mei, Sheng Zhang, Kevin Duh, and Benjamin Van Durme. 2018. Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. In Joint Conference on Lexical and Computational Semantics (StarSem). [bibtex] [abstract]
  2. Sheng Zhang, Kevin Duh, and Benjamin Van Durme. 2018. Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. In Joint Conference on Lexical and Computational Semantics (StarSem). [bibtex] [abstract]
  3. Sheng Zhang, Rachel Rudinger, Kevin Duh, and Benjamin Van Durme. 2017. Ordinal Common-sense Inference. Transactions of the Association for Computational Linguistics, 5:379–395. [16 pages] [pdf] [bibtex] [abstract]
  4. Sheng Zhang, Kevin Duh, and Benjamin Van Durme. 2017. MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models. In The 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL). [7 pages] [pdf] [bibtex] [abstract]
  5. Sheng Zhang, Rachel Rudinger, and Benjamin Van Durme. 2017. An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling. In Proceedings of the 12th International Conference on Computational Semantics (IWCS). [7 pages] [pdf] [bibtex] [abstract]
  6. Sheng Zhang, Kevin Duh, and Benjamin Van Durme. 2017. Selective Decoding for Cross-Lingual Open Information Extraction. In Proceedings of the 8th International Conference on Natural Language Processing (IJCNLP). [11 pages] [pdf] [bibtex] [abstract]
  7. Aaron Steven White, Drew Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, and Benjamin Van Durme. 2016. Universal Decompositional Semantics on Universal Dependencies. In Empirical Methods in Natural Language Processing (EMNLP). [11 pages] [pdf] [bibtex] [abstract]