- [总结]文档归纳
- [总结]graph embedding
- [总结]领域用户内容挖掘
- [总结]Text Mining 部分
- image-text match 任务实践
- Sentence Embedding 调研与实践
- FM相关原理介绍及代码学习
- PYTORCH-BIGGRAPH: A LARGE-SCALE GRAPH EMBEDDING SYSTEM
- 评价指标理解
- Long Document Classification Survey 1
- Theme-weighted Ranking of Keywords from Text Documents using Phrase Embeddings
- LMLSTM:Extract Event-Oriented Keyphrase From News Stream
- word2vec实现原理
- Scaling Word2Vec on Big Corpus
- Deep Neural Networks for YouTube Recommendations
- Salience Rank: Efficient Keyphrase Extraction with Topic Modeling
- Topic representation: finding more representative words in topic models
- Re-Ranking Words to Improve Interpretability of Automatically Generated Topics
- CHAPTER 2 Topic-Level Taxonomy Generation
- Learning to Rank for Information Retrieval and Natural Language Processing——Learning for Ranking Creation
- Learning to Rank for Information Retrieval and Natural Language Processing——Learning to Rank
- Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
- Graph Embedding 相关方法总结
- Weakly-Supervised Neural Text Classification
- Doc2Cube: Automated Document Allocation to Text Cube via Dimension-Aware Joint Embedding
- Multi-Dimensional, Phrase-Based Summarization in Text Cubes
- Hierarchical Topic Models and the Nested Chinese Restaurant Process
- DSReg: Using Distant Supervision as a Regularizer
- Real-time Personalization using Embeddings for SearchRanking at Airbnb
- App2Vec: Vector Modeling of Mobile Apps and Applications
- Is Word Segmentation Necessary for Deep Learning of Chinese Representations?