All accept papers list:https://www.aclweb.org/anthology/venues/acl/
- Heterogeneous Graph Transformer for Graph-to-Sequence Learning
- Structural Information Preserving for Graph-to-Text Generation
- Bipartite Flat-Graph Network for Nested Named Entity Recognition
- Heterogeneous Graph Neural Networks for Extractive Document Summarization
- LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
- Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks
- AMR Parsing via Graph-Sequence Iterative Inference
- Graph Neural News Recommendation with Unsupervised Preference Disentanglement
- Multimodal Neural Graph Memory Networks for Visual Question Answering
- Reasoning Over Semantic-Level Graph for Fact Checking
- Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks
- Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension
- Relational Graph Attention Network for Aspect-based Sentiment Analysis
- Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification
- Fine-grained Fact Verification with Kernel Graph Attention Network
- GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
- Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification
- Semantic Graphs for Generating Deep Questions
- Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction
- Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases
- Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
- Knowledge Graph Embedding Compression
- Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding
- Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph Information
- SEEK: Segmented Embedding of Knowledge Graphs
- Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward
- A Re-evaluation of Knowledge Graph Completion Methods
- ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding
- Connecting Embeddings for Knowledge Graph Entity Typing
- Low-Dimensional Hyperbolic Knowledge Graph Embeddings
- Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
- A Graph Auto-encoder Model of Derivational Morphology
- Autoencoding Keyword Correlation Graph for Document Clustering
- HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding
- Leveraging Graph to Improve Abstractive Multi-Document Summarization
- Neural Graph Matching Networks for Chinese Short Text Matching
- Learning to Ask More: Semi-Autoregressive Sequential Question Generation under Dual-Graph Interaction
- Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics
- Aligned Dual Channel Graph Convolutional Network for Visual Question Answering
- Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection
- Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks
- Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation
- Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer
- A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation
- A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction
- Graph-to-Tree Learning for Solving Math Word Problems
- Exact yet Efficient Graph Parsing, Bi-directional Locality and the Constructivist Hypothesis
- Parsing into Variable-in-situ Logico-Semantic Graphs
- Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction
- Penman: An Open-Source Library and Tool for AMR Graphs
- HGCN4MeSH: Hybrid Graph Convolution Network for MeSH Indexing
- Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings
- Toward General Scene Graph: Integration of Visual Semantic Knowledge with Entity Synset Alignment
- End-to-End Negation Resolution as Graph Parsing
- Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era
- Turku Enhanced Parser Pipeline: From Raw Text to Enhanced Graphs in the IWPT 2020 Shared Task
- Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding