经过40余年发展，在自然语言处理底层分析、文本检索、自动问答、社会媒体分析等方面取得了一系列的研究成果。...

Our lab was established in 1988, researching and developing different NLP-related projects. Our main areas of research include computer-assisted language learning, word alignment, information retrieval, and machine translation.

2023年12月24日 · Research in Natural Language Processing (NLP) at UIC focuses on semantics, and discourse and dialogue processing. Our goal is to use NLP to support both education and instruction, and collaboration between human or artificial agents.

The Natural Language Processing Lab (NLP-Lab) is focused on theoretical work and implementations of Natural Language Processing and Artificial Intelligence solutions using hybrid approaches, empiricist, neural, probabilistic, and knowledge-driven, with a particular interest in neuro-symbolic modeling.

Our lab is currently working on application of NLP techniques to education, such as automated content analysis of students’ summaries for their understanding of a text or curriculum; on NLP and knowledge exploration, such as analysis of whether a knowledge source is relevant to an input natural language question; and dialogue policies that ...

The Stanford NLP Group is part of the Stanford AI Lab (SAIL), and we also have close associations with the Stanford Institute for Human-Centered Artificial Intelligence (HAI), the Center for Research on Foundation Models, Stanford Data Science, and CSLI.

The AI, Language, Learning, Generalization, and Robustness (ALLeGRo) Lab studies natural language processing and machine learning with a focus building reliable NLP systems for a wide range of scenarios.

The Yale NLP Lab is a research group in the Department of Computer Science at Yale University led by Arman Cohan. The research lab started in January 2023 with a broad focus in AI, including language modeling, representation learning, retrieval, and applications in specialized domains.

The NLP (Natural Language Processing) lab is a research group in the School of Computer and Communication Sciences at EPFL in Lausanne, Switzerland! We're a fun and passionate group, with fairly broad research interests, but mainly researching models that can understand and generate languages as well as represent knowledge and reason!

本實驗室由吳政隆老師創立，主要是專注在自然語言處理 (Natural Language Processing)、文字探勘 (Text Mining)、機器學習 (Machine Learning)、深度學習 (Deep Learning)、大型語言模型 (Large Language Model)和情感分析 (Sentiment Analysis)等技術，透過語言知識的獲取、提煉、呈現、理解和生成，進而解決各式社會科學議題，目前研究課題包括網路文章情緒分析、法律文件分析、專利分析、社群網路文本分析、對話系統建置、財經資料分析和股票市場預測等。 本實 …