Who cites «Three New Probabilistic Models for Dependency Parsing: An Exploration»
- Pre-annotation Matters: A Comparative Study on POS and Dependency Annotation for an Alsatian Dialect — our card · 2025 · Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025)
- Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based Approach — 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue
- Discourse Relation Prediction and Discourse Parsing in Dialogues with Minimal Supervision — 2024 · Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024)
- What Does Parameter-free Probing Really Uncover? — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Another Dead End for Morphological Tags? Perturbed Inputs and Parsing — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
- Simple Hardware-Efficient PCFGs with Independent Left and Right Productions — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Enhancing Structure-aware Encoder with Extremely Limited Data for Graph-based Dependency Parsing — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Headed-Span-Based Projective Dependency Parsing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures inside Arguments — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Towards More Natural Artificial Languages — 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)
- Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Un algorithme d'analyse sémantique fondée sur les graphes via le problème de l'arborescence généralisée couvrante (A graph-based semantic parsing algorithm via the generalized spanning arborescence problem) — 2022 · Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale
- Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing — 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)
- Dependency Parsing Evaluation for Low-resource Spontaneous Speech — our card · 2021 · Proceedings of the Second Workshop on Domain Adaptation for NLP
- Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Domain-Aware Dependency Parsing for Questions — our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Linguistic Dependencies and Statistical Dependence — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- N-LTP: An Open-source Neural Language Technology Platform for Chinese — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- Predicting Discourse Trees from Transformer-based Neural Summarizers — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement — our card · 2021
- Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era — our card · 2020 · Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies
- Multitask Easy-First Dependency Parsing: Exploiting Complementarities of Different Dependency Representations — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- Parsing as Tagging — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Semantic Role Labeling as Syntactic Dependency Parsing — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing — 2019 · Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association
- 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
- Bayesian Learning for Neural 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)
- 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)
- Graph-based Dependency Parsing with Graph Neural Networks — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- 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)
- Information-theoretic locality properties of natural language — 2019 · Proceedings of the First Workshop on Quantitative Syntax (Quasy, SyntaxFest 2019)
- Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Leveraging Dependency Forest for Neural Medical Relation Extraction — 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)
- Low-Resource Syntactic Transfer with Unsupervised Source Reordering — 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)
- Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Parsing Chinese Sentences with Grammatical Relations — 2019 · Computational Linguistics
- Phylogenic Multi-Lingual 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)
- 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
- Syntactic dependencies correspond to word pairs with high mutual information — 2019 · Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)
- The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- UniParse: A universal graph-based parsing toolkit — 2019 · Proceedings of the 22nd Nordic Conference on Computational Linguistics
- A Dependency Perspective on RST Discourse Parsing and Evaluation — our card · 2018
- A Framework for Understanding the Role of Morphology in Universal Dependency Parsing — 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
- Backpropagating through Structured Argmax using a SPIGOT — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Dependency-based Hybrid Trees for Semantic Parsing — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Global Transition-based Non-projective Dependency Parsing — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing — 2018 · arXiv:1811.00570
- Stack-Pointer Networks for Dependency Parsing — 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
- Valency-Augmented Dependency Parsing — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- 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
- CRF Autoencoder for Unsupervised Dependency Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Combining Global Models for Parsing Universal Dependencies — 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- 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
- Generic Axiomatization of Families of Noncrossing Graphs in Dependency Parsing — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Hybrid Grammars for Parsing of Discontinuous Phrase Structures and Non-Projective Dependency Structures — 2017
- Incremental Graph-based Neural Dependency Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Parsing to 1-Endpoint-Crossing, Pagenumber-2 Graphs — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Quasi-Second-Order Parsing for 1-Endpoint-Crossing, Pagenumber-2 Graphs — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Semantic Dependency Parsing via Book Embedding — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation — our card · 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- 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
- Inside-Outside and Forward-Backward Algorithms Are Just Backprop (tutorial paper) — 2016 · Proceedings of the Workshop on Structured Prediction for NLP
- Integer Linear Programming for Discourse Parsing — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Integrating Selectional Constraints and Subcategorization Frames in a Dependency Parser — 2016 · Computational Linguistics
- Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations — our card · 2016
- Top-down Tree Long Short-Term Memory Networks — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- A Bayesian Model for Generative Transition-based Dependency Parsing — 2015 · Proceedings of the Third International Conference on Dependency Linguistics (Depling 2015)
- A Data-Driven, Factorization Parser for CCG Dependency Structures — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- A convex and feature-rich discriminative approach to dependency grammar induction — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- An Effective Neural Network Model for Graph-based Dependency Parsing — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- An Empirical Analysis of Optimization for Max-Margin NLP — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
- Approximation-Aware Dependency Parsing by Belief Propagation — 2015 · Transactions of the Association for Computational Linguistics
- CODRA: A Novel Discriminative Framework for Rhetorical Analysis — 2015 · Computational Linguistics
- Dependency Parsing with Graph Rewriting — 2015 · Proceedings of the 14th International Conference on Parsing Technologies
- Discourse parsing for multi-party chat dialogues — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
- Efficient Inner-to-outer Greedy Algorithm for Higher-order Labeled Dependency Parsing — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
- Experiments with Generative Models for Dependency Tree Linearization — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
- Generative Incremental Dependency Parsing with Neural Networks — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
- Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
- High-order Graph-based Neural Dependency Parsing — 2015 · Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation
- Identifying Cascading Errors using Constraints in Dependency Parsing — our card · 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Parsing Paraphrases with Joint Inference — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Parsing as Reduction — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- The complexity of finding the maximum spanning DAG and other restrictions for DAG parsing of natural language — 2015 · Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics
- Unsupervised Dependency Parsing: Let''s Use Supervised Parsers — 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- A Dependency Parser for Tweets — our card · 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- A chance-corrected measure of inter-annotator agreement for syntax — 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Enforcing Structural Diversity in Cube-pruned Dependency Parsing — 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Less Grammar, More Features — 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Phrase Dependency Machine Translation with Quasi-Synchronous Tree-to-Tree Features — 2014 · Computational Linguistics
- Squibs: Constrained Arc-Eager Dependency Parsing — 2014 · Computational Linguistics
- Text-level Discourse Dependency Parsing — 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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