Who cites «Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations» · page 3
288 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- Nightmare at test time: How punctuation prevents parsers from generalizing — 2018 · Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
- Non-Projective Dependency Parsing with Non-Local Transitions — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
- On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing — 2018 · arXiv:1811.00570
- Parameter sharing between dependency parsers for related languages — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Parser Training with Heterogeneous Treebanks — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Parsing Italian Texts Together is Better Than Parsing Them Alone! — 2018 · Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018)
- Parsing Tweets into Universal Dependencies — our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
- Pivot Based Language Modeling for Improved Neural Domain Adaptation — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
- PoSTWITA-UD: an Italian Twitter Treebank in Universal Dependencies — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
- Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Reduction of Parameter Redundancy in Biaffine Classifiers with Symmetric and Circulant Weight Matrices — 2018 · Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation
- SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations — 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- Scene Graph Parsing as Dependency Parsing — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
- Scheduled Multi-Task Learning: From Syntax to Translation — 2018 · Transactions of the Association for Computational Linguistics
- Seq2seq Dependency Parsing — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
- Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
- Sprucing up the trees – Error detection in treebanks — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
- Stack-Pointer Networks for Dependency Parsing — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Strong Baselines for Neural Semi-Supervised Learning under Domain Shift — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Surface Statistics of an Unknown Language Indicate How to Parse It — 2018 · Transactions of the Association for Computational Linguistics
- Synthetic Data Made to Order: The Case of Parsing — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Towards Dynamic Computation Graphs via Sparse Latent Structure — 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
- Universal Dependency Parsing for Hindi-English Code-Switching — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
- Universal Dependency Parsing with a General Transition-Based DAG Parser — 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- Valency-Augmented Dependency Parsing — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- VnCoreNLP: A Vietnamese Natural Language Processing Toolkit — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
- What do character-level models learn about morphology? The case of dependency parsing — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- A BiLSTM-based System for Cross-lingual Pronoun Prediction — 2017 · Proceedings of the Third Workshop on Discourse in Machine Translation
- A Dependency Treebank for Kurmanji Kurdish — 2017 · Proceedings of the Fourth International Conference on Dependency Linguistics (Depling 2017)
- 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 Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing — 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling — our card · 2017 · Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)
- A Transition-Based Directed Acyclic Graph Parser for UCCA — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- A Universal Dependencies Treebank for Marathi — 2017 · Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories
- Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus — 2017 · Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
- Arc-Hybrid Non-Projective Dependency Parsing with a Static-Dynamic Oracle — 2017 · Proceedings of the 15th International Conference on Parsing Technologies
- Arc-Standard Spinal Parsing with Stack-LSTMs — 2017 · Proceedings of the 15th International Conference on Parsing Technologies
- Arc-swift: A Novel Transition System for Dependency Parsing — our card · 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Argument Mining with Structured SVMs and RNNs — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Combining Global Models for Parsing Universal Dependencies — 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
- Deep Multitask Learning for Semantic Dependency Parsing — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Dependency Parsing with Dilated Iterated Graph CNNs — 2017 · Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing
- Don't Stop Me Now! Using Global Dynamic Oracles to Correct Training Biases of Transition-Based Dependency Parsers — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
- DyNet: The Dynamic Neural Network Toolkit — 2017 · arXiv:1701.03980
- Efficient Discontinuous Phrase-Structure Parsing via the Generalized Maximum Spanning Arborescence — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling — 2017 · arXiv:1703.04826
- End-to-End Neural Relation Extraction with Global Optimization — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Entity Identification as Multitasking — 2017 · Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing
- Exploiting Structure in Parsing to 1-Endpoint-Crossing Graphs — 2017 · Proceedings of the 15th International Conference on Parsing Technologies
- 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 Raw Text to Universal Dependencies - Look, No Tags! — 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- 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
- Incremental Discontinuous Phrase Structure Parsing with the GAP Transition — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
- Incremental Graph-based Neural Dependency Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Learning Contextually Informed Representations for Linear-Time Discourse Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Learning What''s Easy: Fully Differentiable Neural Easy-First Taggers — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Learning to select data for transfer learning with Bayesian Optimization — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Leveraging Newswire Treebanks for Parsing Conversational Data with Argument Scrambling — 2017 · Proceedings of the 15th International Conference on Parsing Technologies
- Multi-task Domain Adaptation for Sequence Tagging — 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP
- Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
- Neural Discontinuous Constituency Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Neural End-to-End Learning for Computational Argumentation Mining — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Neural Joint Model for Transition-based Chinese Syntactic Analysis — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Neural Probabilistic Model for Non-projective MST Parsing — 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Reconstruction of Word Embeddings from Sub-Word Parameters — 2017 · Proceedings of the First Workshop on Subword and Character Level Models in NLP
- 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
- Robust Incremental Neural Semantic Graph Parsing — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Stack-based Multi-layer Attention for Transition-based Dependency Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
- UParse: the Edinburgh system for the CoNLL 2017 UD shared task — 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- Universal Dependencies Parsing for Colloquial Singaporean English — our card · 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Universal Semantic Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- An empirical study for Vietnamese dependency parsing — 2016 · Proceedings of the Australasian Language Technology Association Workshop 2016
- Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies — 2016
- Challenges of Computational Processing of Code-Switching — 2016 · Proceedings of the Second Workshop on Computational Approaches to Code Switching
- Deep Biaffine Attention for Neural Dependency Parsing — our card · 2016 · arXiv:1611.01734
- Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Incremental Parsing with Minimal Features Using Bi-Directional LSTM — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Keystroke dynamics as signal for shallow syntactic parsing — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss — 2016 · arXiv:1604.05529
- Neural Shift-Reduce CCG Semantic Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles — 2016 · arXiv:1612.06475
- The SIGMORPHON 2016 Shared Task–-Morphological Reinflection — 2016 · Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
- What Do Recurrent Neural Network Grammars Learn About Syntax? — 2016 · arXiv:1611.05774