This issue collects the papers I am interested in.

ACL 2020

NER：

Soft Gazetteers for Low-Resource Named Entity Recognition
Named Entity Recognition without Labelled Data: A Weak Supervision Approach
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition

Coreference Resolution：

CorefQA: Coreference Resolution as Query-based Span Prediction
Active Learning for Coreference Resolution using Discrete Annotation

RE：

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
Probing Linguistic Features of Sentence-Level Representations in Relation Extraction
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task

About alias generation

Improving Company Recognition from Unstructured Text by using Dictionaries
A survey of named entity recognition and classification
Semi-Supervised Named Entity Recognition: Learning to Recognize 100 Entity Types with Little Supervision
Constructing an Alias List for Named Entities during an Event
Using Named Entity Recognition to Enhance Access to a Museum Catalog
Automatic Discovery of Personal Name Aliases from the Web
Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity
Whose Nickname is This? Recognizing Politicians from Their Aliases
https://stackoverflow.com/questions/49182535/duplicate-alias-names-for-different-fields

ICEIS-2017-Enterprise Knowledge Graphs: A Semantic Approach for Knowledge Management in the Next Generation of Enterprise Information Systems

ISWC-2019

In use

VLX-Stories: building an online Event Knowledge Base with Emerging Entity detection
Semantically-enabled Optimization of Digital Marketing Campaigns
Easy Web API Development with SPARQL Transformer (with code)
A Pay-as-you-go Methodology to Design and Build Enterprise Knowledge Graphs from Relational Databases
Use of OWL and Semantic Web Technologies at Pinterest
An Assessment of Adoption and Quality of Linked Data in European Open Government Data (same to my goal)

Research

TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs
Qualitative Ontology Ranking: The Web of Things Case
Entity Enabled Relation Linking
HapPenIng: Happen, Predict, Infer — Event Series Completion in a Knowledge Graph
Decentralized Reasoning on a Network of Aligned Ontologies with Link Keys (KG challenge)
RDF Explorer: A Visual Query Builder for Semantic Web Knowledge Graphs
Pretrained Transformers for Simple Question Answering

Resources

VLog: A Rule Engine for Knowledge Graphs
Making Study Populations Visible through Knowledge Graphs
SEO: A Scientific Events Data Model
BTC-2019:The 2019 Billion Triple Challenge Dataset
DBpedia FlexiFusion: The Best of Wikipedia > Wikidata > Your Data
FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation
SemanGit: A Linked Dataset from git

Demonstrations

Enabling an Enterprise Data Management Ecosystem using Change Data Capture with Amazon Neptune
A User Interaction Demonstration For Exploring Medical Knowledge Graph

Industry

On the Use of Cloud and Semantic Web Technologies for Generative Design
Business Driven Insight via a Schema-Centric Data Fabric
Semantic Technologies for the Production and Publication of Open Data in ACI – Automobile Club d’Italia
Hybrid Enterprise Knowledge Graphs
Querying Enterprise Knowledge Graph With Natural Language
Open Services for Lifecycle Collaboration (OSLC) – Extending REST APIs to Connect Data

EMNLP-2019

Resource:

paper list

Next Reading:

News related

[x] - Different Acquisition from the Same Sharing: Sifting Multi-task Learning for Fake News Detection
[ ] - Fine-Grained Analysis of Propaganda in News Articles
[ ] - Identifying Predictive Causal Factors from News Streams
[ ] - Learning to Update Knowledge Graph by Reading News
[ ] - News2vec: News Network Embedding with Subnode Information
[ ] - Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials
[ ] - Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation
[ ] - Countering the effects of lead bias in news summarization via multi-stage training and auxiliary losses
[ ] - Measure Country-Level Socio-Economic Indicators with Streaming News: An Empirical Study
[ ] - Neural News Recommendation with Multi-Head Self-Attention
[ ] - Visualizing Trend of Key Roles in News Articles

Knowledge related

[ ] - A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis
[ ] - A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs
[ ] - Asking Clarification Questions in Knowledge-Based Question Answering
[ ] - CaRe: Open Knowledge Graph Embeddings
[x] - Collaborative Policy Learning for Open Knowledge Graph Reasoning
[ ] - DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning
[ ] - DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs
[ ] - Event Representation Learning Enhanced with External Commonsense Knowledge
[ ] - Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation
[ ] - Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss
[ ] - Improving Relation Extraction with Knowledge-attention
[ ] - Incorporating External Knowledge into Machine Reading for Generative Question Answering
[ ] - Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning
[ ] - Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs
[ ] - KagNet: Learning to Answer Commonsense Questions with Knowledge-Aware Graph Networks
[x] - Knowledge Aware Conversation Generation with Explainable Reasoning on Augmented Graphs
[ ] - Knowledge Enhanced Contextual Word Representations
[ ] - Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
[ ] - KnowledgeNet: A Benchmark Dataset for Knowledge Base Population
[ ] - Language Models as Knowledge Bases?
[ ] - Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
[ ] - Multi-task Learning for Conversational Question Answering Over a Large-Scale Knowledge Base
[ ] - Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data
[ ] - Patient Knowledge Distillation for BERT Model Compression
[ ] - 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
[ ] - Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion
[ ] - Towards Knowledge-Based Recommender Dialog System
[ ] - Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation
[ ] - What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering
[ ] - Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
[x] - Commonsense Knowledge Mining from Pretrained Models
[ ] - Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge
[ ] - Feature2Vec: Distributional semantic modelling of human property knowledge
[ ] - GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
[ ] - Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs
[ ] - Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL
[ ] - Rewarding Coreference Resolvers for Being Consistent with World Knowledge
[ ] - Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets
[ ] - MAssistant: A Personal Knowledge Assistant for MOOC Learners

RE related

[ ] - Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs
[ ] - Easy First Relation Extraction with Information Redundancy
[ ] - Improving Distantly-Supervised Relation Extraction with Joint Label Embedding
[ ] - Improving Relation Extraction with Knowledge-attention
[ ] - Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction
[ ] - Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction
[ ] - Leveraging Dependency Forest for Neural Medical Relation Extraction
[ ] - Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction
[ ] - Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data
[ ] - Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction
[ ] - Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas
[ ] - OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
[ ] - Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

Others

[ ] - Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
Personalized Knowledge Graphs for the Pharmaceutical Domain http://www-kasm.nii.ac.jp/iswc2016/papers/paper_A29_.pdf

BrambleXu / knowledge-graph-learning

Reading List #255