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READ

NLP, KG, or others

Knowledge graph embedding methods

time meeting year author title describe
2019/7/21 ACL 2018 Boyang Ding et al. Improving Knowledge Graph Embedding Using Simple Constraints investigate a simple way to embed KG into continuous vector space using 1) non-negative constraints on entity representations and 2) approximate entailment constraints on relation representaions.
2019/7/26 ACL 2018 Chandrahas et al. Towards Under standing the Geometry of Knowledge Graph Embeddings Initiated a systematic study of analyzing geometry of various Knowledge Graph (KG) embedding methods.
2019/7/29 IJCAI 2018 Wei Qian et al. Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism propose a translation-based embedding method to achieve attention mechanism, solving the failure of learning attention in previous work.

Knowledge graph application

time meeting year author title describe
2019/7/23 ACL 2018 Zhenghao Liu et al. Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval EDRM, which introduces knowledge graphs to neural search systems,has more generalization by the semantics of KG.
2019/7/31 IJCAI 2018 Zhouxia Wang et al. Deep Reasoning with Knowledge Graph for Social Relationship Understanding utilizing knowledge graph, propose a neural network method with attention mechanism for the task of social relationship recognition.
2019/8/1 SIGIR 2018 Ying Shen et al. Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs propse a neural network KABLSTM for ranking QA pairs, which leverages external knowledge from KG and exploits an attention mechanism for interacting information from input texts and KG.
2019/8/5 IJCAI 2018 Mcuhao Chen et al. Co-training Embeddings of Knowledge Graphs and Entity Descriptions introduce a method of cross-lingual entity alignment which performs co-training of KG embedding model and description embedding model,showing that outperforms in experiments of cross-lingual entity alignment, zero-shot alignment and cross-lingual KG completion.
2019/8/8 SIGIR 2019 Xiaolu Lu et. al Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs present QUEST, an unsupervised method for QA over dynamically retrieved text corpora based on Group Steiner Trees, which builds a quasi KG before by SPO extraction to computing ranked answers using graph algorithm
2019/8/10 SIGIR 2019 Omar Alonso et al. Social Knowledge Graph Explorer Describe a knowledge graph explorer that allows users to query and discover relationships derived automatically from Twitter
2019/8/13 SIGIR 2019 Xiaoli Wang et al. Effective Medical Archives Processing Using Knowledge Graphs Present a medical archives processing framework KG-MDMF, using dictionary matching, extraction and expert Q&A system to construct KG, and define semantic measures to calculate similarity score, then do medical archives processing and classification improving.

Entity Linking

time meeting year author title describe
2019/9/08 ACL 2018 Phong Le et al Improving Entity Linking by Modeling Latent Relations between Mentions treat relations as latent variables in NEL by compute pairwise score
2019/9/10 ACL 2018 Shikhar Murty et al Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking using real and complex bilinear mappings for integrating hierarchical information
2019/9/19 ACL 2019 Phong Le et al Boosting Entity Linking Performance by Leveraging Unlabeled Documents propose a weakly-supervised model which constructs a high recall list of candidate entities for each mention in unlabeled documents firstly, and use the candidate lists as weak supervision to constrain document-level entity linking model secondly.
2019/9/22 AAAI 2018 Jonathan Raiman et al DeepType: Multilingual Entity Linking by Neural Type System Evolution reformulating the design problem into a mixed integer problem: create a type system and subsequently train a neural network with it, and applied to EL and NER task

Other - Security

time meeting year author title describe
2019/8/11 Engineering 2018 Yan Jia et al. A Practical Approach to Constructing a Knowledge Graph for Cybersecurity Builds an ontology for cybersecurity that is based on vulnerability, and puts forward a method to build a cybersecurity knowledge base.

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