Who cites «Building a Large Annotated Corpus of English: The Penn Treebank» · page 7

2515 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Spherical Latent Spaces for Stable Variational Autoencoders — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Stack-Pointer Networks for Dependency Parsing — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Survey: Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey — our card · 2018
TF-LM: TensorFlow-based Language Modeling Toolkit — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
The Hitchhiker's Guide to Testing Statistical Significance in Natural Language Processing — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
The SSIX Corpora: Three Gold Standard Corpora for Sentiment Analysis in English, Spanish and German Financial Microblogs — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks — 2018 · arXiv:1802.08232
Tools for Building an Interlinked Synonym Lexicon Network — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Towards Semi-Supervised Learning for Deep Semantic Role Labeling — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Two Local Models for Neural Constituent Parsing — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Unsupervised Grammar Induction with Depth-bounded PCFG — 2018 · Transactions of the Association for Computational Linguistics
Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Using Lexical Alignment and Referring Ability to Address Data Sparsity in Situated Dialog Reference Resolution — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Valency-Augmented Dependency Parsing — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Weighted DAG Automata for Semantic Graphs — 2018 · Computational Linguistics
What can we learn from Semantic Tagging? — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
What's Going On in Neural Constituency Parsers? An Analysis — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation? — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
ZAP: An Open-Source Multilingual Annotation Projection Framework — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
A Comparison of Neural Models for Word Ordering — 2017 · Proceedings of the 10th International Conference on Natural Language Generation
A Hybrid Convolutional Variational Autoencoder for Text Generation — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
A Mention-Ranking Model for Abstract Anaphora Resolution — our card · 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
A Minimal Span-Based Neural Constituency Parser — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax — our card · 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
A Systematic Study of Neural Discourse Models for Implicit Discourse Relation — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
Adversarial Generation of Natural Language — 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP
Attention Is All You Need — 2017 · arXiv:1706.03762
Autobank: a semi-automatic annotation tool for developing deep Minimalist Grammar treebanks — 2017 · Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics
BENCHIP: Benchmarking Intelligence Processors — 2017 · arXiv:1710.08315
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks — 2017 · arXiv:1712.01507
Can Discourse Relations be Identified Incrementally? — 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention — 2017 · Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)
Does syntax help discourse segmentation? Not so much — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Effective Inference for Generative Neural Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Empower Sequence Labeling with Task-Aware Neural Language Model — 2017 · arXiv:1709.04109
Encoder-Decoder Shift-Reduce Syntactic Parsing — 2017 · Proceedings of the 15th International Conference on Parsing Technologies
Error-repair Dependency Parsing for Ungrammatical Texts — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Exploring Joint Neural Model for Sentence Level Discourse Parsing and Sentiment Analysis — 2017 · Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
From Characters to Words to in Between: Do We Capture Morphology? — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
GEC into the future: Where are we going and how do we get there? — 2017 · Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications
Hybrid Grammars for Parsing of Discontinuous Phrase Structures and Non-Projective Dependency Structures — 2017
Identifying beneficial task relations for multi-task learning in deep neural networks — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
Improving a Strong Neural Parser with Conjunction-Specific Features — our card · 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
In-Order Transition-based Constituent Parsing — 2017 · Transactions of the Association for Computational Linguistics
Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank — our card · 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Learning to Embed Words in Context for Syntactic Tasks — 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP
Learning to Generate Reviews and Discovering Sentiment — 2017 · arXiv:1704.01444
Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing — 2017 · Transactions of the Association for Computational Linguistics
Measurement Context Extraction from Text: Discovering Opportunities and Gaps in Earth Science — 2017 · arXiv:1710.04312 · 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Data-Driven Discovery Workshop, Halifax, Canada, August 2017
Morphology-based Entity and Relational Entity Extraction Framework for Arabic — 2017
Neural Discourse Structure for Text Categorization — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Neural Language Modeling by Jointly Learning Syntax and Lexicon — 2017 · arXiv:1711.02013
Neural Probabilistic Model for Non-projective MST Parsing — 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
On the State of the Art of Evaluation in Neural Language Models — 2017 · arXiv:1707.05589
Parser Adaptation for Social Media by Integrating Normalization — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Part-of-Speech Tagging for Twitter with Adversarial Neural Networks — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Predicting Native Language from Gaze — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Regularizing Neural Networks by Penalizing Confident Output Distributions — 2017 · arXiv:1701.06548
Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets — 2017
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Représentation et analyse automatique des discontinuités syntaxiques dans les corpus arborés en constituants du français (Representation and parsing of syntactic discontinuities in French constituent treebanks) — 2017 · Actes des 24ème Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 - Articles longs
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Shift-Reduce Constituent Parsing with Neural Lookahead Features — 2017 · Transactions of the Association for Computational Linguistics
Signalling Implicit Relations: A PDTB - RST Comparison — 2017 · Dialogue & Discourse
Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling — 2017 · Transactions of the Association for Computational Linguistics
Stack-based Multi-layer Attention for Transition-based Dependency Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Structured Prediction via Learning to Search under Bandit Feedback — 2017 · Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing
Survey: Multiword Expression Processing: A Survey — 2017
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Towards Universal Semantic Tagging — 2017 · Proceedings of the 12th International Conference on Computational Semantics (IWCS) –- Short papers
Transition-Based Disfluency Detection using LSTMs — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Transition-Based Generation from Abstract Meaning Representations — 2017 · arXiv:1707.07591
Translation Divergences in Chinese–English Machine Translation: An Empirical Investigation — our card · 2017 · Computational Linguistics
UCCAApp: Web-application for Syntactic and Semantic Phrase-based Annotation — 2017 · Proceedings of ACL 2017, System Demonstrations
Universal Dependencies for Arabic — our card · 2017 · Proceedings of the Third Arabic Natural Language Processing Workshop
Universal Dependencies for Serbian in Comparison with Croatian and Other Slavic Languages — 2017 · Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing
Universal Semantic Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Using the Output Embedding to Improve Language Models — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
When does a compliment become sexist? Analysis and classification of ambivalent sexism using twitter data — 2017 · Proceedings of the Second Workshop on NLP and Computational Social Science
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks — 2016 · arXiv:1610.02136 · International Conference on Learning Representations 2017
A Discourse-Annotated Corpus of Conjoined VPs — 2016 · Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016 (LAW-X 2016)
A Neural Knowledge Language Model — 2016 · arXiv:1608.00318
A Search-Based Dynamic Reranking Model for Dependency Parsing — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
Anchoring and Agreement in Syntactic Annotations — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Attending to Characters in Neural Sequence Labeling Models — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation — our card · 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Bootstrapped Text-level Named Entity Recognition for Literature — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Building A Case-based Semantic English-Chinese Parallel Treebank — 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
Combining Ontologies and Neural Networks for Analyzing Historical Language Varieties. A Case Study in Middle Low German — 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Coordination Annotation Extension in the Penn Tree Bank — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Correlation-based Intrinsic Evaluation of Word Vector Representations — 2016 · Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP
Crowdsourcing Complex Language Resources: Playing to Annotate Dependency Syntax — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
Does String-Based Neural MT Learn Source Syntax? — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

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