論文集 | 精選133篇知識(shí)圖譜論文
從廣義上來(lái)說(shuō)，知識(shí)圖譜是一個(gè)包括知識(shí)表示、知識(shí)構(gòu)建、知識(shí)維護(hù)以及知識(shí)應(yīng)用的完整生態(tài)系統(tǒng)，它不僅包含特定領(lǐng)域中的知識(shí)定義和實(shí)例數(shù)據(jù)，還包含了支撐描述、構(gòu)建、儲(chǔ)存、管理和應(yīng)用知識(shí)所需的配套標(biāo)準(zhǔn)、技術(shù)和工具。
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http://fss.mpay8.cn/article/cngMdbl4mi
知識(shí)圖譜是人工智能領(lǐng)域的重要分支，也是機(jī)器具有認(rèn)知能力的基石，隨著知識(shí)圖譜技術(shù)研究與應(yīng)用的深化，該方向吸引了來(lái)自工業(yè)界和學(xué)術(shù)界的廣泛關(guān)注，相關(guān)技術(shù)已經(jīng)在金融證券、生物醫(yī)療、圖書(shū)情報(bào)、電商、農(nóng)業(yè)、政府、電信和出版等領(lǐng)域得到較為廣泛的應(yīng)用。
比如在金融證券領(lǐng)域，利用圖計(jì)算的方法構(gòu)建科學(xué)、嚴(yán)謹(jǐn)?shù)钠髽I(yè)風(fēng)險(xiǎn)評(píng)估體系，有效規(guī)避潛在的經(jīng)營(yíng)風(fēng)險(xiǎn)與資金風(fēng)險(xiǎn)。
知識(shí)表示學(xué)習(xí)
Dual Quaternion Knowledge Graph Embeddings
ChronoR: Rotation Based Temporal Knowledge Graph Embedding
PASSLEAF: A Pool-Based Semi-Supervised Learning Framework for Uncertain Knowledge Graph Embedding
Topology-Aware Correlations between Relations for Inductive Link Prediction in Knowledge Graphs
Learning from History: Modeling Temporal Knowledge Graphs with Sequential CopyGeneration Networks
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs
5 Knowledge Graph Embeddings with Projective Transformations
知識(shí)構(gòu)建與信息抽取
Type-Augmented Relation Prediction in Knowledge Graphs
Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing
FL-MSRE: A Few-Shot Learning Based Approach to Multimodal Social Relation Extraction
Multi-View Inference for Relation Extraction with Uncertain Knowledge
Multi-Modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance
GDPNet: Refining Latent Multi-View Graph for Relation Extraction
Relation-Aware Neighborhood Matching Model for Entity Alignment
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification
Progressive Multi-Task Learning with Controlled information Flow for Joint Entity and Relation Extraction
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Document-Level Relation Extraction with Reconstruction
CrossNER: Evaluating Cross-Domain Named Entity Recognition
A Bidirectional Multi-Paragraph Reading Model for Zero-Shot Entity Linking
A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition
Knowledge Refinery: Learning from Decoupled Label
Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction
Nested Named Entity Recognition with Partially-Observed TreeCRFs
Improving the Efficiency and Effectiveness for Bert-Based Entity Resolution
Continual Learning for Named Entity Recognition
A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations
A Lightweight Neural Model for Biomedical Entity Linking
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
Entity Structure Within and Throughout: Modeling Mention Dependencies for DocumentLevel Relation Extraction
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs
Span-Based Event Coreference Resolution
Knowledge-Aware Named Entity Recognition with Alleviating Heterogeneity
Visual Pivoting for (Unsupervised) Entity Alignment
Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference
Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model
MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization
Dynamic Knowledge Graph Alignment
GATE: Graph Attention Transformer Encoder for Cross-Lingual Relation and Event Extraction
Few-Shot Named Entity Recognition: An Empirical Baseline Study
Learning from Noisy Labels for Entity-Centric Information Extraction
Data Augmentation for Cross-Domain Named Entity RecognitionFine-grained Entity Typing via Label Reasoning
Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models
Low-Rank Subspaces for Unsupervised Entity Linking
Highly Parallel Autoregressive Entity Linking with Discriminative Correction
End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge
From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment
Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing
Document-level Entity-based Extraction as Template Generation
Injecting Entity Types into Entity-Guided Text Generation
Enhanced Language Representation with Label Knowledge for Span Extraction
Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction
A Partition Filter Network for Joint Entity and Relation Extraction
A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling
Modular Self-Supervision for Document-Level Relation Extraction
Exploring Task Difficulty for Few-Shot Relation Extraction
MapRE: An Effective Semantic MApping Approach for Low-resource Relation Extraction
Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction
Extracting Event Temporal Relations via Hyperbolic Geometry
Utilizing Relative Event Time to Enhance Event-Event Temporal Relation Extraction
Corpus-based Open-Domain Event Type Induction
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention
A Relation-Oriented Clustering Method for Open Relation Extraction
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation
Entity Relation Extraction as Dependency Parsing in Visually Rich Documents
Cost-effective End-to-end Information Extraction for Semi-structured Document Images
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment
Uncovering Main Causalities for Long-tailed Information Extraction
Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context
Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction
Importance Estimation from Multiple Perspectives for Keyphrase Extraction
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction
An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction
知識(shí)語(yǔ)義計(jì)算與理解
Comprehension and Knowledge
Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling
KG-BART: Knowledge Graph-Augmented Bart for Generative Commonsense Reasoning
Communicative Message Passing for Inductive Relation Reasoning
Neural Relational Inference with Efficient Message Passing Mechanisms
GaussianPath: A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning
Relation-Aware Graph Attention Model with Adaptive Self-Adversarial Training
Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching
Randomized Generation of Adversary-Aware Fake Knowledge Graphs to Combat Intellectual Property Theft
LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching
Hierarchical Relational Inference
知識(shí)增強(qiáng)與應(yīng)用
Knowledge-Driven Data Construction for Zero-Shot Evaluation in Commonsense Question Answering
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
Few-Shot Class-Incremental Learning via Relation Knowledge Distillation
Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders
Knowledge-Guided Object Discovery with Acquired Deep Impressions
Encoding Human Domain Knowledge to Warm Start Reinforcement Learning
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs
6350: Unanswerable Question Correction in Question Answering over Personal Knowledge Base
6672: Entity Guided Question Generation with Contextual Structure and Sequence Information Capturing
7812: Text-Based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
7833: Knowledge-Driven Natural Language Understanding of English Text and its Applications
Judgment Prediction via Injecting Legal Knowledge into Neural Networks
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling
Knowledge-Aware Coupled Graph Neural Network for Social Recommendation
Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning
Humor Knowledge Enriched Transformer for Understanding Multimodal Humor
Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation
Knowledge-Aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification
Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-toText Transformation
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-Shot Commonsense Question Answering
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