- A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing
- Asking Clarification Questions in Knowledge-Based Question Answering
- Answering Complex Open-domain Questions Through Iterative Query Generation
- Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks
- Enhancing Neural Data-To-Text Generation Models with External Background Knowledge
- Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge
- Feature2Vec: Distributional semantic modelling of human property knowledge
- Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs
- Machine Reading Comprehension Using Structural Knowledge Graph-aware Network
- Rewarding Coreference Resolvers for Being Consistent with World Knowledge
Dialog and Interactive Systems, Machine Translation and Multilinuality, Phonology, Morphology, and Word Segmentation, Speech, Vision, Robotics, Multimodal and Grounding, Tagging, Chunking, Syntax and Parsing
- A Regularization-based Framework for Bilingual Grammar Induction
- A Progressive Model to Enable Continual Learning for Semantic Slot Filling
- Are You for Real Detecting Identity Fraud via Dialogue Interactions
- DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs
- Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank
- Aligning Cross-Lingual Entities with Multi-Aspect Information
- Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever
- Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL
- Modeling Multi-mapping Relations for Precise Cross-lingual Entity Alignment
- Task-Oriented Conversation Generation Using Heterogeneous Memory Networks
- Towards Knowledge-Based Recommender Dialog System
- A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature
- EntEval: A Holistic Evaluation Benchmark for Entity Representations
- GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
Information Extraction, Text Mining and NLP Applications, Social Media and Computational Social Science, Sentiment Analysis and Argument Mining
- An Improved Neural Baseline for Temporal Relation Extraction
- “A Buster Keaton of Linguistics” First Automated Approaches for the Extraction of Vossian Antonomasia
- Doc2EDAG An End-to-End Document-level Framework for Chinese Financial Event Extraction
- Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas
- Coverage of Information Extraction from Sentences and Paragraphs
- Easy First Relation Extraction with Information Redundancy
- Event Representation Learning Enhanced with External Commonsense Knowledge
- Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks
- Fine-Grained Evaluation for Entity Linking
- Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition
- Improving Distantly-Supervised Relation Extraction with Joint Label Embedding
- Improving Relation Extraction with Knowledge-attention
- Jointly Learning Entity and Relation Representations for Entity Alignment
- Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
- KnowledgeNet: A Benchmark Dataset for Knowledge Base Population
- Learning Dynamic Context Augmentation for Global Entity Linking
- Learning to Infer Entities, Properties and their Relations from Clinical Conversations
- Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network
- Multi-input Multi-output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text
- Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data
- Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion
- TuckER: Tensor Factorization for Knowledge Graph Completion
- CaRe: Open Knowledge Graph Embeddings
- Collaborative Policy Learning for Open Knowledge Graph Reasoning
- Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs
- Learning to Update Knowledge Graphs by Reading News
- Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation
- Knowledge Enhanced Contextual Word Representations
- A Logic-Driven Framework for Consistency of Neural Models
- Commonsense Knowledge Mining from Pretrained Models
- Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation
- Identifying and Explaining Discriminative Attributes
- Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification
- Patient Knowledge Distillation for BERT Model Compression
- Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs
- A Lexicon-Based Graph Neural Network for Chinese NER
- A Boundary-aware Neural Model for Nested Named Entity Recognition
- Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
- “Going on a vacation” takes longer than “Going for a walk” A Study of Temporal Commonsense Understanding
- A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs
- Answering questions by learning to rank - Learning to rank by answering questions
- Answering Conversational Questions on Structured Data without Logical Forms
- CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
- Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension
- DIVINE A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning
- Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text
- Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss
- GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level
- Incorporating External Knowledge into Machine Reading for Generative Question Answering
- Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning
- Interactive Language Learning by Question Answering
- KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
- PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text
- Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
- Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model
- Social IQa: Commonsense Reasoning about Social Interactions
- What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering