Wensi Li
Natural Language Processing · 2018
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 8 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Artificial Intelligence — 6 citations into it
Whom Wensi Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Wensi Li's perspective
Ordered by how strongly the researchers Wensi Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Enriching Word Vectors with Subword Information
- Linguistic Regularities in Continuous Space Word Representations
- Improving Distributional Similarity with Lessons Learned from Word Embeddings
- Neural Word Embedding as Implicit Matrix Factorization
- Linguistic Regularities in Sparse and Explicit Word Representations
- Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn’t.
- Joint Learning of Character and Word Embeddings
- Unsupervised Morphology Induction Using Word Embeddings
- The Morphology of Chinese: A Linguistic and Cognitive Approach
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Analogical Reasoning on Chinese Morphological and Semantic Relations (2018) — 450 citations