3 papers
cs.LG2019
Gated Task Interaction Framework for Multi-task Sequence Tagging
Isaac K. E. Ampomah, Sally McClean, Zhiwei Lin +1
Recent studies have shown that neural models can achieve high performance on several sequence labelling/tagging problems without the explicit use of linguistic features such as par…
cs.AI2019
Composing Knowledge Graph Embeddings via Word Embeddings
Lianbo Ma, Peng Sun, Zhiwei Lin +1
Learning knowledge graph embedding from an existing knowledge graph is very important to knowledge graph completion. For a fact with the head entity having a relation…
cs.AI2019
Quantifying consensus of rankings based on q-support patterns
Zhengui Xue, Zhiwei Lin, Hui Wang +1
Rankings, representing preferences over a set of candidates, are widely used in many information systems, e.g., group decision making and information retrieval. It is of great impo…