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、網路探勘、和人工智慧。我們研究人類語言知識的呈現、取得、運用和整合，以及異質資源多語多模式資料的分類、檢索、過濾、擷取、和摘要。目前正研究的課題包括：

• 結合微觀與巨觀之跨語言跨文件知識發掘
• 生活紀錄：個人大數據研究
• 知識圖譜
• 網路意見探勘
• 使用者意圖與行動之分析和預測
• 機器翻譯
• 自動摘要和問答
• 相關性、多樣性和新穎性資訊之分析、偵測和追蹤
• 社會媒體檢索
• 情境導向資訊檢索
• 跨語言跨媒體資訊檢索
  
• 學習式排序法在資訊檢索上的應用

新生招募

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The major research directions of Natural Language Processing Laboratory are human language technologies, information retrieval and extraction, web mining, and artifical intelligence. 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:

• Micro/Macro Knowledge Discovery over Cross-Lingual Documents
• LifeLogging: Personal Big Data
• Knowledge Graph
• Web Opinion Mining
• User Intent/Activity Analysis and Prediction
• Machine Translation
• Summarization, Question and Answering
• Relevancy, Diversity, and Novelty Analysis, Detection and Tracking
• Social Media Retrieval
• Context-Aware Information Retrieval
• Cross-Language Cross-Media Retrieval
• Learning to Rank for Information Access

Student Recruiting