Datasets:
wesley7137
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GoDPMD

Dataset card Data Studio Files
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* Dan Klein and Christopher Manning: Accurate Unlexicalized Parsing, ACL 2003.
* Dan Klein and Christopher Manning: Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency, ACL 2004.
* Joakim Nivre and Mario Scholz: Deterministic Dependency Parsing of English Text, COLING 2004.
* Ryan McDonald et al.: Non-Projective Dependency Parsing using Spanning-Tree Algorithms, EMNLP 2005.
* Daniel Andor et al.: Globally Normalized Transition-Based Neural Networks, 2016.
* Oriol Vinyals, et al.: Grammar as a Foreign Language, 2015.
## Sequential Labeling & Information Extraction
* Marti A. Hearst: Automatic Acquisition of Hyponyms from Large Text Corpora, COLING 1992.
* Collins and Singer: Unsupervised Models for Named Entity Classification, EMNLP 1999.
* Patrick Pantel and Dekang Lin, Discovering Word Senses from Text, SIGKDD, 2002.
* Mike Mintz et al.: Distant supervision for relation extraction without labeled data, ACL 2009.
* Zhiheng Huang et al.: Bidirectional LSTM-CRF Models for Sequence Tagging, 2015.
* Xuezhe Ma and Eduard Hovy: End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF, ACL 2016.
## Machine Translation & Transliteration, Sequence-to-Sequence Models
* Peter F. Brown et al.: A Statistical Approach to Machine Translation, Computational Linguistics, 1990.
* Kevin Knight, Graehl Jonathan. Machine Transliteration. Computational Linguistics, 1992.
* Dekai Wu: Inversion Transduction Grammars and the Bilingual Parsing of Parallel Corpora, Computational Linguistics, 1997.
* Kevin Knight: A Statistical MT Tutorial Workbook, 1999.
* Kishore Papineni, et al.: BLEU: a Method for Automatic Evaluation of Machine Translation, ACL 2002.
* Philipp Koehn, Franz J Och, and Daniel Marcu: Statistical Phrase-Based Translation, NAACL 2003.
* Philip Resnik and Noah A. Smith: The Web as a Parallel Corpus, Computational Linguistics, 2003.
* Franz J Och and Hermann Ney: The Alignment-Template Approach to Statistical Machine Translation, Computational Linguistics, 2004.
* David Chiang. A Hierarchical Phrase-Based Model for Statistical Machine Translation, ACL 2005.
* Ilya Sutskever, Oriol Vinyals, and Quoc V. Le: Sequence to Sequence Learning with Neural Networks, NIPS 2014.
* Oriol Vinyals, Quoc Le: A Neural Conversation Model, 2015.
* Dzmitry Bahdanau, et al.: Neural Machine Translation by Jointly Learning to Align and Translate, 2014.
* Minh-Thang Luong, et al.: Effective Approaches to Attention-based Neural Machine Translation, 2015.
* Rico Sennrich et al.: Neural Machine Translation of Rare Words with Subword Units. ACL 2016.
* Yonghui Wu, et al.: Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation, 2016.
* Melvin Johnson, et al.: [Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation](https://arxiv.org/abs/1611.04558), 2016.
* Jonas Gehring, et al.: Convolutional Sequence to Sequence Learning, 2017.
* Ashish Vaswani, et al.: Attention Is All You Need, 2017.
## Coreference Resolution
* Vincent Ng: Supervised Noun Phrase Coreference Research: The First Fifteen Years, ACL 2010.
* Kenton Lee at al.: End-to-end Neural Coreference Resolution, EMNLP 2017.
## Automatic Text Summarization
* Kevin Knight and Daniel Marcu: Summarization beyond sentence extraction. Artificial Intelligence 139, 2002.
* James Clarke and Mirella Lapata: Modeling Compression with Discourse Constraints. EMNLP-CONLL 2007.
* Ryan McDonald: A Study of Global Inference Algorithms in Multi-Document Summarization, ECIR 2007.
* Wen-tau Yih et al.: Multi-Document Summarization by Maximizing Informative Content-Words. IJCAI 2007.
* Alexander M Rush, et al.: A Neural Attention Model for Sentence Summarization. EMNLP 2015.
* Abigail See et al.: [Get To The Point: Summarization with Pointer-Generator Networks](https://www.aclweb.org/anthology/P17-1099/). ACL 2017.
## Question Answering and Machine Comprehension
* Pranav Rajpurkar et al.: SQuAD: 100,000+ Questions for Machine Comprehension of Text. EMNLP 2015.
* Minjoon Soo et al.: Bi-Directional Attention Flow for Machine Comprehension. ICLR 2015.
## Generation, Reinforcement Learning
* Jiwei Li, et al.: Deep Reinforcement Learning for Dialogue Generation, EMNLP 2016.
* Marc’Aurelio Ranzato et al.: Sequence Level Training with Recurrent Neural Networks. ICLR 2016.
* Samuel R Bowman et al.: [Generating sentences from a continuous space](https://www.aclweb.org/anthology/K16-1002/), CoNLL 2016.
* Lantao Yu, et al.: SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient, AAAI 2017.