Sentence Compression as Deletion with Contextual Embeddings
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[1] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[2] Jieping Ye,et al. Automatic Dialogue Summary Generation for Customer Service , 2019, KDD.
[3] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[4] Guillaume Lample,et al. Neural Architectures for Named Entity Recognition , 2016, NAACL.
[5] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[6] Dan Klein,et al. Jointly Learning to Extract and Compress , 2011, ACL.
[7] Mark Last,et al. An unsupervised constrained optimization approach to compressive summarization , 2020, Inf. Sci..
[8] Yang Zhao,et al. A Language Model based Evaluator for Sentence Compression , 2018, ACL.
[9] J. Clarke,et al. Global inference for sentence compression : an integer linear programming approach , 2008, J. Artif. Intell. Res..
[10] Le Tien Dung,et al. Transfer Learning for Information Extraction with Limited Data , 2019, PACLING.
[11] Roland Vollgraf,et al. Contextual String Embeddings for Sequence Labeling , 2018, COLING.
[12] Sophia Ananiadou,et al. A Neural Layered Model for Nested Named Entity Recognition , 2018, NAACL.
[13] Yasemin Altun,et al. Overcoming the Lack of Parallel Data in Sentence Compression , 2013, EMNLP.
[14] Lejian Liao,et al. Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains , 2017, ACL.
[15] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[16] Lukasz Kaiser,et al. Sentence Compression by Deletion with LSTMs , 2015, EMNLP.