Semantics-based Knowledge Approach Clause Samples

Semantics-based Knowledge Approach. ‌ The motivation arises from both the complexity and the variety of questions and their relevant contexts. The complexity concerns with exploiting syntac- tic dependencies, semantic role labels, named entities, and coreference links all together for finding the best answers. For arithmetic questions, such com- plexity comes from the flow of entity relations across sentences and semantic polarities of verb predicates, which are required to transform the contexts in natural language into mathematical equations. The variety concerns with robustly handling various types of questions. It is relatively easier to develop an architecture designated to handle just one type of questions (e.g., a system to extract answers for factoid questions) than many different types of questions (e.g., opinions, recommendations, commen- taries). In this section, a semantic-based knowledge approach (constructed graph) is presented that not only conveys relations from different layers or linguistic theories, but also is effective for finding answers for various types of questions.