Who cites «A Fast and Accurate Dependency Parser using Neural Networks» · page 4
506 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- Initializing Convolutional Filters with Semantic Features for Text Classification — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
- Joint UD Parsing of Norwegian Bokmål and Nynorsk — 2017 · Proceedings of the 21st Nordic Conference on Computational Linguistics
- Large-scale evaluation of dependency-based DSMs: Are they worth the effort? — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
- Learning Phrase Embeddings from Paraphrases with GRUs — 2017 · Proceedings of the First Workshop on Curation and Applications of Parallel and Comparable Corpora
- 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
- Linguistically Rich Vector Representations of Supertags for TAG Parsing — 2017 · Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms
- MITRE at SemEval-2017 Task 1: Simple Semantic Similarity — 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
- MUSST: A Multilingual Syntactic Simplification Tool — 2017 · Proceedings of the IJCNLP 2017, System Demonstrations
- Machine Translation and Automated Analysis of the Sumerian Language — 2017 · Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
- 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
- Modélisation de dépendances entre étiquettes dans les réseaux neuronaux récurrents [Tag dependency modeling in recurrent neural networks] — 2017
- Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- 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)
- Ontology-Aware Token Embeddings for Prepositional Phrase Attachment — our card · 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Prepositional Phrase Attachment over Word Embedding Products — our card · 2017 · Proceedings of the 15th International Conference on Parsing Technologies
- Quote Extraction and Attribution from Norwegian Newspapers — 2017 · Proceedings of the 21st Nordic Conference on Computational Linguistics
- Real-valued Syntactic Word Vectors (RSV) for Greedy Neural Dependency Parsing — 2017 · Proceedings of the 21st Nordic Conference on Computational Linguistics
- 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
- Results of the fifth edition of the BioASQ Challenge — 2017 · Proceedings of the 16th BioNLP Workshop
- Robust Training under Linguistic Adversity — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
- Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints — 2017 · Transactions of the Association for Computational Linguistics
- Semi-supervised Structured Prediction with Neural CRF Autoencoder — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Shift-Reduce Constituent Parsing with Neural Lookahead Features — 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
- Survey: Multiword Expression Processing: A Survey — 2017
- Syntax Aware LSTM model for Semantic Role Labeling — 2017 · Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing
- TAG Parser Evaluation using Textual Entailments — 2017 · Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms
- TAG Parsing with Neural Networks and Vector Representations of Supertags — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- TTI-COIN at SemEval-2017 Task 10: Investigating Embeddings for End-to-End Relation Extraction from Scientific Papers — 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
- 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
- Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification — 2017 · Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)
- Toward Universal Dependencies for Ainu — 2017 · Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies (UDW 2017)
- Transition-Based Deep Input Linearization — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
- TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing — 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)
- Using Stanford Part-of-Speech Tagger for the Morphologically-rich Filipino Language — 2017 · Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation
- Using Word Embedding for Cross-Language Plagiarism Detection — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
- What do we need to know about an unknown word when parsing German — 2017 · Proceedings of the First Workshop on Subword and Character Level Models in NLP
- Word Ordering as Unsupervised Learning Towards Syntactically Plausible Word Representations — 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- A Fast Unified Model for Parsing and Sentence Understanding — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- A Theme-Rewriting Approach for Generating Algebra Word Problems — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task — 2016 · arXiv:1606.02858
- 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
- A sense-based lexicon of count and mass expressions: The Bochum English Countability Lexicon — 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- A subtree-based factorization of dependency parsing — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- An Evaluation of Parser Robustness for Ungrammatical Sentences — our card · 2016 · Proceedings of the 2016 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
- Bi-directional Attention with Agreement for Dependency Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Context-Dependent Sense Embedding — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Cross-lingual transfer parser from Hindi to Bengali using delexicalization and chunking — 2016 · Proceedings of the 13th International Conference on Natural Language Processing
- Crowdsourcing a Multi-lingual Speech Corpus: Recording, Transcription and Annotation of the CrowdIS Corpora — 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- Deep Biaffine Attention for Neural Dependency Parsing — our card · 2016 · arXiv:1611.01734
- Deep Multi-Task Learning with Shared Memory for Text Classification — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Demographic Dialectal Variation in Social Media: A Case Study of African-American English — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Determining the Multiword Expression Inventory of a Surprise Language — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Easy-First Dependency Parsing with Hierarchical Tree LSTMs — 2016
- Edinburgh's Statistical Machine Translation Systems for WMT16 — 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers
- Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States — 2016
- Embedding Lexical Features via Low-Rank Tensors — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF — 2016 · arXiv:1603.01354
- Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks — our card · 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- Evaluating Embeddings using Syntax-based Classification Tasks as a Proxy for Parser Performance — 2016 · Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP
- Evaluating a Deterministic Shift-Reduce Neural Parser for Constituent Parsing — 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- Evaluating embeddings on dictionary-based similarity — 2016 · Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP
- Expectation-Regulated Neural Model for Event Mention Extraction — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Exploiting Linguistic Features for Sentence Completion — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms — 2016 · Proceedings of the Third Workshop on Argument Mining (ArgMining2016)
- Globally Normalized Transition-Based Neural Networks — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Graph-based Dependency Parsing with Bidirectional LSTM — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Improved Word Embeddings with Implicit Structure Information — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- 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)
- Intrinsic Evaluations of Word Embeddings: What Can We Do Better? — 2016 · Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP
- Introducing DRAIL – a Step Towards Declarative Deep Relational Learning — 2016 · Proceedings of the Workshop on Structured Prediction for NLP
- Is ``Universal Syntax'' Universally Useful for Learning Distributed Word Representations? — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Jointly Learning to Embed and Predict with Multiple Languages — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Know-Center at SemEval-2016 Task 5: Using Word Vectors with Typed Dependencies for Opinion Target Expression Extraction — 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
- LSTM CCG Parsing — our card · 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- LSTM Shift-Reduce CCG Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Linguistic Input Features Improve Neural Machine Translation — 2016 · Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers
- M2L at SemEval-2016 Task 8: AMR Parsing with Neural Networks — 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
- MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Making Dependency Labeling Simple, Fast and Accurate — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Many Languages, One Parser — 2016 · Transactions of the Association for Computational Linguistics
- Mapping Unseen Words to Task-Trained Embedding Spaces — 2016 · Proceedings of the 1st Workshop on Representation Learning for NLP
- Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation — 2016 · Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers
- Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks — 2016 · Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis
- Morphological Priors for Probabilistic Neural Word Embeddings — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- N-best Rescoring for Parsing Based on Dependency-Based Word Embeddings — 2016 · International Journal of Computational Linguistics & Chinese Language Processing, Volume 21, Number 2, December 2016
- NORMAS at SemEval-2016 Task 1: SEMSIM: A Multi-Feature Approach to Semantic Text Similarity — 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
- Neural Network for Heterogeneous Annotations — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Neural Network-Based Model for Japanese Predicate Argument Structure Analysis — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)