Retrieval of Scientific and Technological Resources for Experts and Scholars
Not on the map. Why?
Abstract (arXiv)
Institutions of higher learning, research institutes and other scientific research units have abundant scientific and technological resources of experts and scholars, and these talents with great scientific and technological innovation ability are an important force to promote industrial upgrading. The scientific and technological resources of experts and scholars are mainly composed of basic attributes and scientific research achievements. The basic attributes include information such as research interests, institutions, and educational work experience. However, due to information asymmetry and other reasons, the scientific and technological resources of experts and scholars cannot be connected with the society in a timely manner, and social needs cannot be accurately matched with experts and scholars. Therefore, it is very necessary to build an expert and scholar information database and provide relevant expert and scholar retrieval services. This paper sorts out the related research work in this field from four aspects: text relation extraction, text knowledge representation learning, text vector retrieval and visualization system.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 30 of its 91 references that are in the map. First posted on arXiv 13 Apr 2022.
Builds on
30 of 91 references.
References · 30
- 2017Attention Is All You Needcited by 59,932
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
- 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,462
- 2014Sequence to Sequence Learning with Neural Networkscited by 2,974
- 2021SimCSE: Simple Contrastive Learning of Sentence Embeddingscited by 2,168
- 2015Learning Transferable Features with Deep Adaptation Networkscited by 1,323
- 2016Bag of Tricks for Efficient Text Classificationcited by 869
- 2016Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphscited by 853
- 2014Distributed Representations of Sentences and Documentscited by 677
- 2018Universal Sentence Encodercited by 485
- 2017Supervised Learning of Universal Sentence Representations from Natural Language Inference Datacited by 428
18 more
- 2019KG-BERT: BERT for Knowledge Graph Completioncited by 323
- 2015Skip-Thought Vectorscited by 321
- 2019K-BERT: Enabling Language Representation with Knowledge Graphcited by 303
- 2021Whitening Sentence Representations for Better Semantics and Faster Retrievalcited by 198
- 2018An efficient framework for learning sentence representationscited by 197
- 2016End-to-End Relation Extraction using LSTMs on Sequences and Tree Structurescited by 161
- 2017Joint Extraction of Entities and Relations Based on a Novel Tagging Schemecited by 102
- 2022Filter-enhanced MLP is All You Need for Sequential Recommendationcited by 96
- 2019Knowledge-Enriched Transformer for Emotion Detection in Textual Conversationscited by 92
- 2018Joint entity recognition and relation extraction as a multi-head selection problemcited by 59
- 2021Self-Supervised Graph Co-Training for Session-based Recommendationcited by 43
- 2021Identity-Aware CycleGAN for Face Photo-Sketch Synthesis and Recognitioncited by 39
- 2015Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Pathcited by 35
- 2022Scientific and Technological Information Oriented Semantics-adversarial and Media-adversarial Cross-media Retrievalcited by 33
- 2018AceKG: A Large-scale Knowledge Graph for Academic Data Miningcited by 28
- 2019Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networkscited by 27
- 2015TransA: An Adaptive Approach for Knowledge Graph Embeddingcited by 19
- 2016SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptionscited by 18
Built on by
Not cited yet.