作者 | Ccxs 整理 | NewBeeNLP
知识图谱
- Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network 使用堆叠卷积和学生重排网络的具有鲁棒性的知识图谱补全
- Poisoning Knowledge Graph Embeddings via Relation Inference Patterns 通过关系推理模式毒化知识图谱嵌入
- PairRE: Knowledge Graph Embeddings via Paired Relation Vectors 通过配对关系向量的知识图谱嵌入
- How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction 知识图谱和注意力如何帮助？对袋级关系提取的定性分析
- Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs 从历史中搜索，为未来推理：时序知识图谱上的两阶段推理
- Employing Argumentation Knowledge Graphs for Neural Argument Generation 使用论证知识图谱用于神经论证生成
- Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding Softmax交叉熵和负采样的统一解释：知识图谱嵌入的案例研究
- Question Answering Over Temporal Knowledge Graphs 时序知识图谱上的问题回答
- Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion 缺失的链接是可预测的吗？知识图谱补全的推理基准
- SemEval-2021 Task 11: NLPContributionGraph - Structuring Scholarly NLP Contributions for a Research Knowledge Graph SemEval-2021Task11：NLPContributionGraph--为研究型知识图谱构建学术性的NLP贡献
- KnowGraph@IITK at SemEval-2021 Task 11: Building Knowledge Graph for NLP Research KnowGraph@IITK在SemEval-2021Task11：为NLP研究构建知识图谱
推荐系统
- Personalized Transformer for Explainable Recommendation 用于可解释推荐的个性化Transformer
- HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation HieRec: 用于个性化新闻推荐的分层用户兴趣建模
- PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity PP-Rec: 具备个性化用户兴趣和时间感知新闻流行度的新闻推荐
- Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations 基于从查询到报价的转化的报价推荐和解释
- CRSLab: An Open-Source Toolkit for Building Conversational Recommender System CRSLab: 构建对话式推荐系统的开源工具箱
- IFlyEA: A Chinese Essay Assessment System with Automated Rating, Review Generation, and Recommendation IFlyEA：一个具有自动评级、评论生成和推荐功能的中文作文评估系统
- Are we human, or are we users? The role of natural language processing in human-centric news recommenders that nudge users to diverse content 我们是人，还是用户？自然语言处理在以人为本的新闻推荐器中的作用，促使用户选择不同的内容
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