Who cites «Transition-Based Dependency Parsing with Stack Long Short-Term Memory»
304 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- Effective Multi-Task Learning for Biomedical Named Entity Recognition — 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing
- High-Accuracy Transition-Based Constituency Parsing — 2025 · Proceedings of the 18th International Conference on Parsing Technologies (IWPT, SyntaxFest 2025)
- Investigating Psychometric Predictive Power of Syntactic Attention — 2025 · Proceedings of the 29th Conference on Computational Natural Language Learning
- Scaling Graph-Based Dependency Parsing with Arc Vectorization and Attention-Based Refinement — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
- 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
- ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time — 2023 · arXiv:2305.10611
- How Much Syntactic Supervision is ``Good Enough''? — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
- Pushing the Limits of ChatGPT on NLP Tasks — 2023 · arXiv:2306.09719
- Recurrent Neural Network CCG Parser — 2023 · Proceedings of the 4th Natural Logic Meets Machine Learning Workshop
- 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
- Transformers as Graph-to-Graph Models — 2023 · Proceedings of the Big Picture Workshop
- 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)
- Hitachi at SemEval-2022 Task 10: Comparing Graph- and Seq2Seq-based Models Highlights Difficulty in Structured Sentiment Analysis — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
- Multi-Layer Pseudo-Siamese Biaffine Model for Dependency Parsing — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Nucleus Composition in Transition-based Dependency Parsing — our card · 2022
- Scene Graph Modification as Incremental Structure Expanding — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Sentence-Incremental Neural Coreference Resolution — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization — 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)
- A Unified Encoding of Structures in Transition Systems — 2021 · Proceedings of the 2021 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)
- SoDA: On-device Conversational Slot Extraction — 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
- Structural Realization with GGNNs — 2021 · Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15)
- 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 Joint Deep Contextualized Word Representation for Deep Biaffine Dependency Parsing — 2020 · Proceedings of the 7th International Workshop on Vietnamese Language and Speech Processing
- 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
- Comparing Machine Learning and Deep Learning Approaches on NLP Tasks for the Italian Language — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Comparing Neural Network Parsers for a Less-resourced and Morphologically-rich Language: Amharic Dependency Parser — our card · 2020 · Proceedings of the first workshop on Resources for African Indigenous Languages
- Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner''s Perspective — 2020 · Proceedings of the Fourth Workshop on Structured Prediction for NLP
- Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- 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
- Max-Margin Incremental CCG Parsing — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Parsing as Tagging — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- RP-DNN: A Tweet Level Propagation Context Based Deep Neural Networks for Early Rumor Detection in Social Media — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Semi-supervised Autoencoding Projective Dependency Parsing — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- 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
- What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions? — 2020 · 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)
- CCG Parsing Algorithm with Incremental Tree Rotation — 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)
- 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
- Language Modeling with Shared Grammar — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs — 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)
- 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
- Text Genre and Training Data Size in Human-like 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)