Penn Treebank

The Penn Treebank Project annotates naturally-occuring text for linguistic structure. Most notably, we produce skeletal parses showing rough syntactic and semantic information -- a bank of linguistic trees. We also annotate text with part-of-speech tags, and for the Switchboard corpus of telephone conversations, dysfluency annotation. We are located in the LINC Laboratory of the Computer and Information Science Department at the University of Pennsylvania. All data produced by the Treebank is released through the Linguistic Data Consortium.


References in zbMATH (referenced in 105 articles )

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  1. Li, Zuchao; Zhou, Junru; Zhao, Hai; Zhang, Zhisong; Li, Haonan; Ju, Yuqi: Neural character-level syntactic parsing for Chinese (2022)
  2. Zeng, Zhiyuan; Xiong, Deyi: Unsupervised and few-shot parsing from pretrained language models (2022)
  3. Bogaerts, Bart; Gamba, Emilio; Guns, Tias: A framework for step-wise explaining how to solve constraint satisfaction problems (2021)
  4. Xiao, Danyang; Mei, Yuan; Kuang, Di; Chen, Mengqiang; Guo, Binbin; Wu, Weigang: EGC: entropy-based gradient compression for distributed deep learning (2021)
  5. Basu, Kinjal; Varanasi, Sarat Chandra; Shakerin, Farhad; Gupta, Gopal: SQuARE: semantics-based question answering and reasoning engine (2020)
  6. Lee, Ching-pei; Chang, Kai-Wei: Distributed block-diagonal approximation methods for regularized empirical risk minimization (2020)
  7. Fernández-González, Daniel; Gómez-Rodríguez, Carlos: Faster shift-reduce constituent parsing with a non-binary, bottom-up strategy (2019)
  8. Jing, Li; Gulcehre, Caglar; Peurifoy, John; Shen, Yichen; Tegmark, Max; Soljacic, Marin; Bengio, Yoshua: Gated orthogonal recurrent units: on learning to forget (2019)
  9. Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc V. Le, Ruslan Salakhutdinov: Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context (2019) arXiv
  10. Daniel Varab, Natalie Schluter: UniParse: A universal graph-based parsing toolkit (2018) arXiv
  11. Garrido, Angel: Many-valued logics in the Iberian peninsula (2018)
  12. Hubara, Itay; Courbariaux, Matthieu; Soudry, Daniel; El-Yaniv, Ran; Bengio, Yoshua: Quantized neural networks: training neural networks with low precision weights and activations (2018)
  13. Maletti, Andreas: Survey: finite-state technology in natural language processing (2017)
  14. Chen, Wenliang; Zhang, Min; Zhang, Yue; Duan, Xiangyu: Exploiting meta features for dependency parsing and part-of-speech tagging (2016)
  15. David Krueger, Tegan Maharaj, János Kramár, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Aaron Courville, Chris Pal: Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations (2016) arXiv
  16. Deng, Ke; Bol, Peter K.; Li, Kate J.; Liu, Jun S.: On the unsupervised analysis of domain-specific Chinese texts (2016)
  17. Kallmeyer, Laura; Maier, Wolfgang: LR parsing for LCFRS (2016)
  18. Dhillon, Paramveer S.; Foster, Dean P.; Ungar, Lyle H.: Eigenwords: spectral word embeddings (2015)
  19. Kai-Wei Chang, Shyam Upadhyay, Ming-Wei Chang, Vivek Srikumar, Dan Roth: IllinoisSL: A JAVA Library for Structured Prediction (2015) arXiv
  20. Martins, André F. T.; Figueiredo, Mário A. T.; Aguiar, Pedro M. Q.; Smith, Noah A.; Xing, Eric P.: (\mathrmAD^3): alternating directions dual decomposition for MAP inference in graphical models (2015)

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