研究方向 / Research Directions
自然語言處理實驗室主要的研究方向是人類語言技術、資訊檢索與擷取、和網路探勘。我們研究人類語言知識的呈現、取得、運用和整合，以及異質資源多語資料的分類、檢索、過濾、擷取、和摘要。目前正研究的課題包括：
  • 跨語言跨媒體資訊檢索
  • 相關性和新穎性偵測和追蹤
  • 自動摘要和問答
  • 網路意見探勘
  • 社會媒體檢索
  • 學習式排序法在資訊檢索上的應用
  • 多語多媒體知識本體之建立
The major research directions of Natural Language Processing Laboratory are human language technologies, information retrieval and extraction, and web mining. We aim to studies (1) representation, acquisition, employment, and integration of human language knowledge, and (2) classification, retrieval, filtering, extraction, and summarization of multilingual data from heterogeneous resources, in particular, on the World Wide Web. Several research topics are under investigation:
  • Cross-Language Cross-Media Information Retrieval
  • Relevance/Novelty Detection and Tracking
  • Summarization and Question-Answering
  • Opinion Mining
  • Social Media Retrieval
  • Learning to Rank for Information Retrieval
  • Construction of Multilingual Multimedia Ontology