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 100 articles )

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  1. Lee, Ching-pei; Chang, Kai-Wei: Distributed block-diagonal approximation methods for regularized empirical risk minimization (2020)
  2. Pasini, Tommaso; Navigli, Roberto: Train-o-matic: supervised word sense disambiguation with no (manual) effort (2020)
  3. Fernández-González, Daniel; Gómez-Rodríguez, Carlos: Faster shift-reduce constituent parsing with a non-binary, bottom-up strategy (2019)
  4. 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
  5. Daniel Varab, Natalie Schluter: UniParse: A universal graph-based parsing toolkit (2018) arXiv
  6. Garrido, Angel: Many-valued logics in the Iberian peninsula (2018)
  7. Hubara, Itay; Courbariaux, Matthieu; Soudry, Daniel; El-Yaniv, Ran; Bengio, Yoshua: Quantized neural networks: training neural networks with low precision weights and activations (2018)
  8. Maletti, Andreas: Survey: finite-state technology in natural language processing (2017)
  9. Chen, Wenliang; Zhang, Min; Zhang, Yue; Duan, Xiangyu: Exploiting meta features for dependency parsing and part-of-speech tagging (2016)
  10. 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
  11. Deng, Ke; Bol, Peter K.; Li, Kate J.; Liu, Jun S.: On the unsupervised analysis of domain-specific Chinese texts (2016)
  12. Kallmeyer, Laura; Maier, Wolfgang: LR parsing for LCFRS (2016)
  13. Dhillon, Paramveer S.; Foster, Dean P.; Ungar, Lyle H.: Eigenwords: spectral word embeddings (2015)
  14. Kai-Wei Chang, Shyam Upadhyay, Ming-Wei Chang, Vivek Srikumar, Dan Roth: IllinoisSL: A JAVA Library for Structured Prediction (2015) arXiv
  15. 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)
  16. Balle, Borja; Carreras, Xavier; Luque, Franco M.; Quattoni, Ariadna: Spectral learning of weighted automata. A forward-backward perspective (2014)
  17. Branco, António; Carvalheiro, Catarina; Costa, Francisco; Castro, Sérgio; Silva, João; Martins, Cláudia; Ramos, Joana: Deepbankpt and companion portuguese treebanks in a multilingual collection of treebanks aligned with the penn treebank (2014) ioport
  18. Deoskar, Tejaswini; Mylonakis, Markos; Sima’an, Khalil: Learning structural dependencies of words in the Zipfian tail (2014) ioport
  19. Silva, Ana Paula; Silva, Arlindo; Rodrigues, Irene: An approach to the POS tagging problem using genetic algorithms (2014) ioport
  20. Soutner, Daniel; Müller, Luděk: Continuous distributed representations of words as input of LSTM network language model (2014) ioport

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