Who cites «Transition-Based Dependency Parsing with Stack Long Short-Term Memory» · page 2
- Neural Transition-based String Transduction for Limited-Resource Setting in Morphology — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
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- 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)
- Sentence-State LSTM for Text Representation — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Seq2seq Dependency Parsing — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
- Sequence-to-sequence Models for Cache Transition Systems — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Simpler but More Accurate Semantic Dependency Parsing — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Stack-Pointer Networks for Dependency Parsing — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Stance Detection with Hierarchical Attention Network — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
- Supervised Treebank Conversion: Data and Approaches — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Syntactically Aware Neural Architectures for Definition Extraction — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
- Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Transition-based Neural RST Parsing with Implicit Syntax Features — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
- UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task — our card · 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- Visual Attention Model for Name Tagging in Multimodal Social Media — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Weakly-Supervised Neural Semantic Parsing with a Generative Ranker — 2018 · Proceedings of the 22nd Conference on Computational Natural Language Learning
- A Full Non-Monotonic Transition System for Unrestricted Non-Projective Parsing — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- A Generative Parser with a Discriminative Recognition Algorithm — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- A Joint Sequential and Relational Model for Frame-Semantic Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- A Multi-task Approach for Named Entity Recognition in Social Media Data — 2017 · Proceedings of the 3rd Workshop on Noisy User-generated Text
- 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 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 Transition-based System for Universal Dependency Parsing — 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- AMR Parsing using Stack-LSTMs — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection — 2017 · Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection
- An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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- Context-Aware Prediction of Derivational Word-forms — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
- Cross-lingual Character-Level Neural Morphological Tagging — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Dependency Parsing as Head Selection — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
- Discourse Mode Identification in Essays — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- DyNet: The Dynamic Neural Network Toolkit — 2017 · arXiv:1701.03980
- Encoder-Decoder Shift-Reduce Syntactic Parsing — 2017 · Proceedings of the 15th International Conference on Parsing Technologies
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- End-to-End Neural Relation Extraction with Global Optimization — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Fast and Accurate Neural Word Segmentation for Chinese — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- 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)
- Greedy Transition-Based Dependency Parsing with Stack LSTMs — 2017 · Computational Linguistics
- Head-Lexicalized Bidirectional Tree LSTMs — 2017 · Transactions of the Association for Computational Linguistics
- In-Order Transition-based Constituent Parsing — 2017 · Transactions of the Association for Computational Linguistics
- Learning Contextually Informed Representations for Linear-Time Discourse Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Learning Structured Natural Language Representations for Semantic Parsing — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- 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 Parse and Translate Improves Neural Machine Translation — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Leveraging Knowledge Bases in LSTMs for Improving Machine Reading — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Multi-task Domain Adaptation for Sequence Tagging — 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP
- Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
- 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
- Multilingual Training of Crosslingual Word Embeddings — 2017 · Proceedings of the 15th Conference of the European Chapter 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)
- Robust Incremental Neural Semantic Graph Parsing — 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
- 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
- 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
- The HIT-SCIR System for End-to-End Parsing of Universal Dependencies — 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- Towards Neural Machine Translation with Latent Tree Attention — 2017 · Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing
- Transition-Based Disfluency Detection using LSTMs — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- 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)
- Word vectors, reuse, and replicability: Towards a community repository of large-text resources — 2017 · Proceedings of the 21st Nordic Conference on Computational Linguistics
- A Convolutional Attention Network for Extreme Summarization of Source Code — 2016 · arXiv:1602.03001
- 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 Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks — 2016 · arXiv:1611.01587
- A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- A Long Short-Term Memory Framework for Predicting Humor in Dialogues — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- A Neural Attention Model for Disfluency Detection — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- A Neural Network Architecture for Multilingual Punctuation Generation — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- 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
- 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
- Bidirectional LSTM for Named Entity Recognition in Twitter Messages — 2016 · Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT)
- Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- CharNER: Character-Level Named Entity Recognition — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- Context-Sensitive Lexicon Features for Neural Sentiment Analysis — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Data Recombination for Neural Semantic Parsing — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Deep Biaffine Attention for Neural Dependency Parsing — our card · 2016 · arXiv:1611.01734
- Differentia compositionem facit. A Slower-Paced and Reliable Parser for Latin — 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Domainless Adaptation by Constrained Decoding on a Schema Lattice — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- Easy-First Dependency Parsing with Hierarchical Tree LSTMs — 2016
- End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF — 2016 · arXiv:1603.01354
- 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 Mutual Benefits between Syntax and Semantic Roles using Neural Network — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Frustratingly Easy Neural Domain Adaptation — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- Global Neural CCG Parsing with Optimality Guarantees — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- 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)
- Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs — 2016 · Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning
- 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)
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