Who cites «Transition-Based Dependency Parsing with Stack Long Short-Term Memory»
- Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs — our card · 2025 · Proceedings of the 18th International Conference on Parsing Technologies (IWPT, SyntaxFest 2025)
- Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Pushing the Limits of ChatGPT on NLP Tasks — 2023 · arXiv:2306.09719
- Recurrent Neural Network CCG構文解析器の実装 — 2023 · 言語処理学会 第29回年次大会 発表論文集 (NLP2023)
- SpEL: Structured Prediction for Entity Linking — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
- A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer — 2022 · arXiv:2207.00785
- Composition, Attention, or Both? — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Dependency Parsing as MRC-based Span-Span Prediction — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Nucleus Composition in Transition-based Dependency Parsing — our card · 2022
- Sentence-Incremental Neural Coreference Resolution — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Applying Occam''s Razor to Transformer-Based Dependency Parsing: What Works, What Doesn''t, and What is Really Necessary — our card · 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
- Effective Batching for Recurrent Neural Network Grammars — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- End-to-End Argument Mining as Biaffine Dependency Parsing — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- Few-Shot Semantic Parsing for New Predicates — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Multilingual Dependency Parsing for Low-Resource African Languages: Case Studies on Bambara, Wolof, and Yoruba — 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
- Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement — our card · 2021
- S-NLP at SemEval-2021 Task 5: An Analysis of Dual Networks for Sequence Tagging — 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
- Structured Prediction as Translation between Augmented Natural Languages — 2021 · arXiv:2101.05779 · International Conference on Learning Representations (ICLR) 2021
- Surprisal Estimators for Human Reading Times Need Character Models — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Syntactic Nuclei in Dependency Parsing – A Multilingual Exploration — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task — 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
- Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction — our card · 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- 融合多粒度特征的低资源语言词性标记和依存分析联合模型(A Joint Model with Multi-Granularity Features of Low-resource Language POS Tagging and Dependency Parsing) — 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics
- A New Resource for German Causal Language — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- An Effective Transition-based Model for Discontinuous NER — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Fact-based Text Editing — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Graph-to-Graph Transformer for Transition-based Dependency Parsing — our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser — 2020 · Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing
- Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding — 2020 · Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies
- LSTMs Compose–-and Learn–-Bottom-Up — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Parsing as Tagging — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Semi-supervised Parsing with a Variational Autoencoding Parser — 2020 · Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies
- The Unstoppable Rise of Computational Linguistics in Deep Learning — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Training a Swedish Constituency Parser on Six Incompatible Treebanks — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Transition-based Parsing with Stack-Transformers — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Transition-based Semantic Dependency Parsing with Pointer Networks — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- 半监督跨领域语义依存分析技术研究(Semi-supervised Domain Adaptation for Semantic Dependency Parsing) — 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics
- A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- AMR-to-Text Generation with Cache Transition Systems — 2019 · arXiv:1912.01682
- An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Broad-Coverage Semantic Parsing as Transduction — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Graph-based Dependency Parsing with Graph Neural Networks — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- HIT-SCIR at MRP 2019: A Unified Pipeline for Meaning Representation Parsing via Efficient Training and Effective Encoding — 2019 · Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning
- Hierarchical Pointer Net Parsing — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- How to Use Gazetteers for Entity Recognition with Neural Models — 2019 · Proceedings of the 5th Workshop on Semantic Deep Learning (SemDeep-5)
- How to embed noncrossing trees in Universal Dependencies treebanks in a low-complexity regular language — 2019 · Journal of Language Modelling
- Improving Neural Machine Translation with Neural Syntactic Distance — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- Incorporating Emoji Descriptions Improves Tweet Classification — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs — 2019 · arXiv:1907.09361
- Learning an Executable Neural Semantic Parser — 2019 · Computational Linguistics
- Left-to-Right Dependency Parsing with Pointer Networks — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- Neural Chinese Address Parsing — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- Neural Generative Rhetorical Structure Parsing — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Recursive LSTM Tree Representation for Arc-Standard Transition-Based Dependency Parsing — our card · 2019 · Proceedings of the Third Workshop on Universal Dependencies (UDW, SyntaxFest 2019)
- Recursive Subtree Composition in LSTM-Based Dependency Parsing — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- Reliability-aware Dynamic Feature Composition for Name Tagging — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Representation Learning and Dynamic Programming for Arc-Hybrid Parsing — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
- Representation and parsing of multiword expressions: Current trends — 2019 · edited-volume
- Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Scalable Syntax-Aware Language Models Using Knowledge Distillation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Semi-Supervised Semantic Role Labeling with Cross-View Training — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Semi-supervised Domain Adaptation for Dependency Parsing — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Transition-Based Coding and Formal Language Theory for Ordered Digraphs — 2019 · Proceedings of the 14th International Conference on Finite-State Methods and Natural Language Processing
- Unsupervised Recurrent Neural Network Grammars — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- Viable Dependency Parsing as Sequence Labeling — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- A Deep Dive into Word Sense Disambiguation with LSTM — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
- A Morphology-Based Representation Model for LSTM-Based Dependency Parsing of Agglutinative Languages — 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- A Neural Transition-based Model for Nested Mention Recognition — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- A Transition-Based Algorithm for Unrestricted AMR Parsing — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
- An AMR Aligner Tuned by Transition-based Parser — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing — 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- AntNLP at CoNLL 2018 Shared Task: A Graph-Based Parser for Universal Dependency Parsing — 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- Better Transition-Based AMR Parsing with a Refined Search Space — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Bilingual Character Representation for Efficiently Addressing Out-of-Vocabulary Words in Code-Switching Named Entity Recognition — 2018 · Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching
- Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
- DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Fast and Accurate Reordering with ITG Transition RNN — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
- Finding syntax in human encephalography with beam search — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Global Transition-based Non-projective Dependency Parsing — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Incorporating Topic Aspects for Online Comment Convincingness Evaluation — 2018 · Proceedings of the 5th Workshop on Argument Mining
- Incremental Natural Language Processing: Challenges, Strategies, and Evaluation — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
- Modeling Input Uncertainty in Neural Network Dependency Parsing — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach — our card · 2018
- Modeling discourse cohesion for discourse parsing via memory network — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
- Multimodal Named Entity Disambiguation for Noisy Social Media Posts — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Neural Particle Smoothing for Sampling from Conditional Sequence Models — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
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