Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields
暂无分享,去创建一个
Bo Zhang | Jun Zhu | Yong Cao | Zaiqing Nie | Jingwei Zhuo | Jun Zhu | Zaiqing Nie | Bo Zhang | Jingwei Zhuo | Yong Cao
[1] Galen Andrew,et al. A Hybrid Markov/Semi-Markov Conditional Random Field for Sequence Segmentation , 2006, EMNLP.
[2] 悠太 菊池,et al. 大規模要約資源としてのNew York Times Annotated Corpus , 2015 .
[3] Percy Liang,et al. Semi-Supervised Learning for Natural Language , 2005 .
[4] Wei Xu,et al. Bidirectional LSTM-CRF Models for Sequence Tagging , 2015, ArXiv.
[5] Dekang Lin,et al. Phrase Clustering for Discriminative Learning , 2009, ACL.
[6] William W. Cohen,et al. Semi-Markov Conditional Random Fields for Information Extraction , 2004, NIPS.
[7] Han Zhao,et al. Self-Adaptive Hierarchical Sentence Model , 2015, IJCAI.
[8] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[9] Claire Cardie,et al. Extracting Opinion Expressions with semi-Markov Conditional Random Fields , 2012, EMNLP.
[10] Andrew McCallum,et al. Lexicon Infused Phrase Embeddings for Named Entity Resolution , 2014, CoNLL.
[11] Robert L. Mercer,et al. Class-Based n-gram Models of Natural Language , 1992, CL.
[12] Erik F. Tjong Kim Sang,et al. Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition , 2003, CoNLL.
[13] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[14] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[15] Yoshua Bengio,et al. Word Representations: A Simple and General Method for Semi-Supervised Learning , 2010, ACL.
[16] Dan Roth,et al. Design Challenges and Misconceptions in Named Entity Recognition , 2009, CoNLL.
[17] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[18] Yiming Yang,et al. RCV1: A New Benchmark Collection for Text Categorization Research , 2004, J. Mach. Learn. Res..
[19] Jun Suzuki,et al. Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data , 2008, ACL.
[20] Yoshua Bengio,et al. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.
[21] Jun'ichi Tsujii,et al. Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition , 2006, ACL.
[22] Mitchell P. Marcus,et al. Text Chunking using Transformation-Based Learning , 1995, VLC@ACL.
[23] Bo Zhang,et al. Webpage understanding: an integrated approach , 2007, KDD '07.
[24] Xuanjing Huang,et al. Gated Recursive Neural Network for Chinese Word Segmentation , 2015, ACL.
[25] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[26] Sabine Buchholz,et al. Introduction to the CoNLL-2000 Shared Task Chunking , 2000, CoNLL/LLL.
[27] Beatrice Santorini,et al. Building a Large Annotated Corpus of English: The Penn Treebank , 1993, CL.