Papers by Liwei Cai

2 papers
KBGAN: Adversarial Learning for Knowledge Graph Embeddings (N18-1)

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Challenge: Existing knowledge graph embedding techniques lack the capability to access similarities between entities and relations.
Approach: They propose an adversarial learning framework to improve knowledge graph embedding models . they use one knowledge graph embedded model as a negative sample generator .
Outcome: The proposed framework improves the performance of knowledge graph embedding models on a link prediction task.
Unsupervised Morphological Paradigm Completion (2020.acl-main)

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Challenge: a task of generating morphological paradigms is a challenging unsupervised task for natural language processing systems . acuidados y acciones del idioma es a problem in linguistic annotators.
Approach: They propose a task of unsupervised morphological paradigm completion using raw text and a lemma list.
Outcome: The proposed system outperforms trivial baselines on 14 typologically diverse languages with ease and higher accuracy than minimally supervised systems.

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