Who cites «Deep Biaffine Attention for Neural Dependency Parsing» · page 2

626 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Combining (Second-Order) Graph-Based and Headed-Span-Based Projective Dependency Parsing — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
Composable Sparse Fine-Tuning for Cross-Lingual Transfer — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge Base — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer? — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
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)
Dependency Parsing via Sequence Generation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Dialo-AP: A Dependency Parsing Based Argument Parser for Dialogues — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
End-to-end Argument Mining with Cross-corpora Multi-task Learning — 2022 · Transactions of the Association for Computational Linguistics
Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Enhancing Structure-aware Encoder with Extremely Limited Data for Graph-based Dependency Parsing — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
EventGraph: Event Extraction as Semantic Graph Parsing — 2022 · Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE)
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
How to Parse a Creole: When Martinican Creole Meets French — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Improving Code-Switching Dependency Parsing with Semi-Supervised Auxiliary Tasks — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Legal Named Entity Recognition with Multi-Task Domain Adaptation — 2022 · Proceedings of the Natural Legal Language Processing Workshop 2022
Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
MicroBERT: Effective Training of Low-resource Monolingual BERTs through Parameter Reduction and Multitask Learning — 2022 · Proceedings of the 2nd Workshop on Multi-lingual Representation Learning (MRL)
Multi-task Active Learning for Pre-trained Transformer-based Models — 2022 · Transactions of the Association for Computational Linguistics
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Nested Named Entity Recognition with Span-level Graphs — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
On Efficiently Acquiring Annotations for Multilingual Models — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
On the Sensitivity and Stability of Model Interpretations in NLP — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Out-of-Domain Discourse Dependency Parsing via Bootstrapping: An Empirical Analysis on Its Effectiveness and Limitation — 2022 · Transactions of the Association for Computational Linguistics
Passing Parser Uncertainty to the Transformer: Labeled Dependency Distributions for Neural Machine Translation — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
Phylogeny-Inspired Adaptation of Multilingual Models to New Languages — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese — 2022 · Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing
Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Probing for Labeled Dependency Trees — 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
Semantic-based Pre-training for Dialogue Understanding — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Sort by Structure: Language Model Ranking as Dependency Probing — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Structural Bias for Aspect Sentiment Triplet Extraction — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Structured Dialogue Discourse Parsing — 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue
Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Toward Automatic Discourse Parsing of Student Writing Motivated by Neural Interpretation — 2022 · Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)
TwittIrish: A Universal Dependencies Treebank of Tweets in Modern Irish — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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
Weakly Supervised Headline Dependency Parsing — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Yet Another Format of Universal Dependencies for Korean — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
gaBERT –- an Irish Language Model — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples — our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
A Conditional Splitting Framework for Efficient Constituency 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)
A Graph-Based Neural Model for End-to-End Frame Semantic Parsing — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech — 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 Modest Pareto Optimisation Analysis of Dependency Parsers in 2021 — 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences — 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)
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)
Adversarial Learning for Discourse Rhetorical Structure 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)
Analyse en dépendances du français avec des plongements contextualisés (French dependency parsing with contextualized embeddings) — 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale
Annotations Matter: Leveraging Multi-task Learning to Parse UD and SUD — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
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)
Attention Can Reflect Syntactic Structure (If You Let It) — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Auto-encodeurs variationnels : contrecarrer le problème de posterior collapse grâce à la régularisation du décodeur (Variational auto-encoders : prevent posterior collapse via decoder regularization) — 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale
Automated Concatenation of Embeddings for Structured Prediction — 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)
Better Feature Integration for Named Entity Recognition — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Biaffine Dependency and Semantic Graph Parsing for EnhancedUniversal Dependencies — 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
Can Character-based Language Models Improve Downstream Task Performances In Low-Resource And Noisy Language Scenarios? — 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)
Capturing Logical Structure of Visually Structured Documents with Multimodal Transition Parser — 2021 · Proceedings of the Natural Legal Language Processing Workshop 2021
Cascaded Span Extraction and Response Generation for Document-Grounded Dialog — 2021 · Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc 2021)
Cisco at SemEval-2021 Task 5: What''s Toxic?: Leveraging Transformers for Multiple Toxic Span Extraction from Online Comments — 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
Climbing the Tower of Treebanks: Improving Low-Resource Dependency Parsing via Hierarchical Source Selection — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Compositional Networks Enable Systematic Generalization for Grounded Language Understanding — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling — our card · 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Coreference Resolution without Span Representations — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing — 2021 · Proceedings of the 2nd Workshop on Computational Approaches to Discourse
Diversity-Aware Batch Active Learning for Dependency Parsing — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Do Syntax Trees Help Pre-trained Transformers Extract Information? — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
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
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
End-to-end mBERT based Seq2seq Enhanced Dependency Parser with Linguistic Typology knowledge — 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
Entity Relation Extraction as Dependency Parsing in Visually Rich Documents — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Few-Shot Question Answering by Pretraining Span Selection — 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)
Genre as Weak Supervision for Cross-lingual Dependency Parsing — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language 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)
How much pretraining data do language models need to learn syntax? — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Improving the Performance of UDify with Linguistic Typology Knowledge — 2021 · Proceedings of the Third Workshop on Computational Typology and Multilingual NLP
Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Joint Universal Syntactic and Semantic Parsing — 2021
LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations — 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)
Language Embeddings for Typology and Cross-lingual Transfer Learning — 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)
Learning Syntax from Naturally-Occurring Bracketings — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Levi Graph AMR Parser using Heterogeneous Attention — 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
MRN: A Locally and Globally Mention-Based Reasoning Network for Document-Level Relation Extraction — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
Modularized Interaction Network for Named Entity Recognition — 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)
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision — 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)
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)
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
Non-Autoregressive Translation by Learning Target Categorical Codes — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2016-dozat-deep-biaffine-attention-neural-dependency-2/