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[1] Mirella Lapata,et al. Sentence Compression for Arbitrary Languages via Multilingual Pivoting , 2018, EMNLP.
[2] Gary Marchionini,et al. Exploratory search , 2006, Commun. ACM.
[3] Christopher D. Manning,et al. Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks , 2016, LREC.
[4] Marti A. Hearst. Search User Interfaces , 2009 .
[5] Sigrid Klerke,et al. Improving sentence compression by learning to predict gaze , 2016, NAACL.
[6] Alexander Clark,et al. Unsupervised Prediction of Acceptability Judgements , 2015, ACL.
[7] Yasemin Altun,et al. Overcoming the Lack of Parallel Data in Sentence Compression , 2013, EMNLP.
[8] Danqi Chen,et al. A Fast and Accurate Dependency Parser using Neural Networks , 2014, EMNLP.
[9] Katherine A. Keith,et al. Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses , 2018, NAACL.
[10] Graham Neubig,et al. Controlling Output Length in Neural Encoder-Decoders , 2016, EMNLP.
[11] Dan Klein,et al. Jointly Learning to Extract and Compress , 2011, ACL.
[12] Matt Post,et al. Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation , 2018, NAACL.
[13] Kenneth Heafield,et al. KenLM: Faster and Smaller Language Model Queries , 2011, WMT@EMNLP.
[14] Sampo Pyysalo,et al. Universal Dependencies v1: A Multilingual Treebank Collection , 2016, LREC.
[15] Katharina Kann,et al. Sentence-Level Fluency Evaluation: References Help, But Can Be Spared! , 2018, CoNLL.
[16] Christopher Potts,et al. A large annotated corpus for learning natural language inference , 2015, EMNLP.
[17] Amy X. Zhang,et al. Making Sense of Group Chat through Collaborative Tagging and Summarization , 2018, Proc. ACM Hum. Comput. Interact..
[18] Enrique Alfonseca,et al. Fast k-best Sentence Compression , 2015, ArXiv.
[19] Chris Callison-Burch,et al. Evaluating Sentence Compression: Pitfalls and Suggested Remedies , 2011, Monolingual@ACL.
[20] Daniel Marcu,et al. Statistics-Based Summarization - Step One: Sentence Compression , 2000, AAAI/IAAI.
[21] Chris Callison-Burch,et al. So-Called Non-Subsective Adjectives , 2016, *SEM@ACL.
[22] Holger Schwenk,et al. Supervised Learning of Universal Sentence Representations from Natural Language Inference Data , 2017, EMNLP.
[23] Christopher D. Manning,et al. Generating Typed Dependency Parses from Phrase Structure Parses , 2006, LREC.
[24] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[25] Ted Briscoe,et al. The Second Release of the RASP System , 2006, ACL.
[26] R. Thomas McCoy,et al. Non-entailed subsequences as a challenge for natural language inference , 2018, ArXiv.
[27] Jeffrey Heer,et al. The Effects of Interactive Latency on Exploratory Visual Analysis , 2014, IEEE Transactions on Visualization and Computer Graphics.
[28] Dan Klein,et al. An Empirical Investigation of Statistical Significance in NLP , 2012, EMNLP.
[29] Lejian Liao,et al. Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains , 2017, ACL.
[30] Ben Shneiderman,et al. Interactive Dynamics for Visual Analysis , 2012 .
[31] Alexander M. Rush,et al. Bottom-Up Abstractive Summarization , 2018, EMNLP.
[32] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[33] André F. T. Martins,et al. Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning , 2013, ACL.
[34] Mark Sanderson,et al. Advantages of query biased summaries in information retrieval , 1998, SIGIR '98.
[35] J. Clarke,et al. Global inference for sentence compression : an integer linear programming approach , 2008, J. Artif. Intell. Res..
[36] Jason Weston,et al. A Neural Attention Model for Abstractive Sentence Summarization , 2015, EMNLP.
[37] Amanda Spink,et al. Real life, real users, and real needs: a study and analysis of user queries on the web , 2000, Inf. Process. Manag..
[38] Jeffrey Heer,et al. Interpretation and trust: designing model-driven visualizations for text analysis , 2012, CHI.
[39] Jakob Nielsen,et al. Usability engineering , 1997, The Computer Science and Engineering Handbook.
[40] David Bamman,et al. Natural Language Processing for the Long Tail , 2017, DH.
[41] Najafi Azadeh,et al. REAL LIFE, REAL USERS AND REAL NEEDS: A STUDY AND ANALYSIS OF USER QUERIES ON THE WEB , 2008 .
[42] Yoshua Bengio,et al. Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..
[43] Mihai Surdeanu,et al. The Stanford CoreNLP Natural Language Processing Toolkit , 2014, ACL.
[44] Michael Strube,et al. Dependency Tree Based Sentence Compression , 2008, INLG.
[45] Lukasz Kaiser,et al. Sentence Compression by Deletion with LSTMs , 2015, EMNLP.
[46] Joakim Nivre,et al. An Efficient Algorithm for Projective Dependency Parsing , 2003, IWPT.
[47] Luke S. Zettlemoyer,et al. AllenNLP: A Deep Semantic Natural Language Processing Platform , 2018, ArXiv.
[48] Rosie Jones,et al. The Linguistic Structure of English Web-Search Queries , 2008, EMNLP.