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- 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
- Higher-Order Dependency Parsing for Arc-Polynomial Score Functions via Gradient-Based Methods and Genetic Algorithm — 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)
- 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)
- 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
- Improving Low-resource RRG Parsing with Cross-lingual Self-training — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Integrating Label Attention into CRF-based Vietnamese Constituency Parser — 2022 · Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation
- Intent Detection and Slot Filling from Dependency Parsing Perspective: A Case Study in Vietnamese — 2022 · Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation
- 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)
- Learnable Dependency-based Double Graph Structure for Aspect-based Sentiment Analysis — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Legal Named Entity Recognition with Multi-Task Domain Adaptation — 2022 · Proceedings of the Natural Legal Language Processing Workshop 2022
- MT-Speech at SemEval-2022 Task 10: Incorporating Data Augmentation and Auxiliary Task with Cross-Lingual Pretrained Language Model for Structured Sentiment Analysis — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-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)
- Modeling Syntactic-Semantic Dependency Correlations in Semantic Role Labeling Using Mixture Models — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Multi-Layer Pseudo-Siamese Biaffine Model for Dependency Parsing — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- 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)
- Neural heuristics for scaling constructional language processing — 2022 · Journal of Language Modelling
- 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
- Overconfidence in the Face of Ambiguity with Adversarial Data — 2022 · Proceedings of the First Workshop on Dynamic Adversarial Data Collection
- 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
- Pretrained Knowledge Base Embeddings for improved Sentential Relation Extraction — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
- 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)
- Proto-Gen: An end-to-end neural generator for persona and knowledge grounded response generation — 2022 · Proceedings of the 1st Workshop on Customized Chat Grounding Persona and Knowledge
- SHARP: Search-Based Adversarial Attack for Structured Prediction — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
- Semantic Dependency Parsing with Edge GNNs — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- 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
- Semi-supervised Domain Adaptation for Dependency Parsing with Dynamic Matching Network — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- 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
- The Architectural Bottleneck Principle — 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)
- Tâches auxiliaires pour l'analyse biaffine en graphes de dépendances (Auxiliary tasks to boost Biaffine Semantic Dependency Parsing) — 2022 · Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale
- 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
- Unifying Parsing and Tree-Structured Models for Generating Sentence Semantic Representations — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
- Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Weakly Supervised Headline Dependency Parsing — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- 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)
- Zero-shot Cross-lingual Transfer is Under-specified Optimization — 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP
- 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)
- A Unified Encoding of Structures in Transition Systems — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- 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)
- APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- 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)
- An In-depth Study on Internal Structure of Chinese Words — 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
- ConteCorpus: An Analysis of People Response to Institutional Communications During the Pandemic — 2021 · Proceedings of the Eighth Italian Conference on Computational Linguistics (CLiC-it 2021)
- Contrasting distinct structured views to learn sentence embeddings — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
- 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
- Efficient Sampling of Dependency Structures — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- 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
- Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes — 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