In talent recruitment, the job interview aims at selecting the right candidates for the right jobs
through assessing their skills and experiences in relation to the job positions. While …

In this paper, we consider the problem of open information extraction (OIE) for extracting
entity and relation level intermediate structures from sentences in open-domain. We focus …

Taxonomies play an important role in machine intelligence. However, most well-known
taxonomies are in English, and non-English taxonomies, especially Chinese ones, are still …

Finding the correct hypernyms for entities is essential for taxonomy learning, fine-grained
entity categorization, query understanding, etc. Due to the flexibility of the Chinese …

Taxonomies play an important role in various Natural Language Processing (NLP) tasks (eg,
text classification, information extraction and knowledge inference). However, due to the …

Abstract Hypernym–hyponym (“is-a”) relations are key components in taxonomies, object
hierarchies and knowledge graphs. Robustly harvesting of such relations requires the …

The influence of inaccurate knowledge still exists in the Semantic Web. The problem of
knowledge inaccuracy in Knowledge Bases (KBs) is one of the largest obstacles that limit …

Commonsense knowledge is a crucial resource to help the machine understand the human
world. However, the conventional methods of extracting commonsense knowledge with isA …

Abstract Hypernym-hyponym (“is-a”) relations are key components in taxonomies, object
hierarchies and knowledge graphs. While there is abundant research on is-a relation …

In recent years, we have witnessed the technical advances in general knowledge graph
construction. However, for a specific domain, harvesting precise and fine-grained …