semantic summarization

См. также в других словарях:

• Automatic summarization — is the creation of a shortened version of a text by a computer program. The product of this procedure still contains the most important points of the original text. The phenomenon of information overload has meant that access to coherent and… …   Wikipedia

• Multi-document summarization — is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. Resulting summary report allows individual users, so as professional information consumers, to quickly familiarize themselves with… …   Wikipedia

• Text Mining — Text Mining, seltener auch Textmining, Text Data Mining oder Textual Data Mining, ist ein Bündel von Analyseverfahren, die die algorithmusassistierte Entdeckung von Bedeutungsstrukturen aus un oder schwachstrukturierten Textdaten ermöglichen soll …   Deutsch Wikipedia

• Нина Леонтьева — Нина Николаевна Леонтьева русский лингвист, специалист по структурной и прикладной лингвистике (ПЛ), преподаватель. Содержание 1 Биография 1.1 Основные труды 1.1.1 1958 1.1.2 1959 1.1.3 1961 …   Википедия

• Нина Николаевна Леонтьева — русский лингвист, специалист по структурной и прикладной лингвистике (ПЛ), преподаватель. Содержание 1 Биография 1.1 Основные труды 1.1.1 1958 1.1.2 1959 1.1.3 1961 …   Википедия

• Natural language processing — (NLP) is a field of computer science and linguistics concerned with the interactions between computers and human (natural) languages; it began as a branch of artificial intelligence.[1] In theory, natural language processing is a very attractive… …   Wikipedia

• Multimedia Information Retrieval — (MMIR) is a research discipline of computer science that aims at extracting semantic information from multimedia data sources.[1] Data sources include directly perceivable media such as audio, image and video, indirectly perceivable sources such… …   Wikipedia

• Concept Search — A concept search (or conceptual search) is an automated information retrieval method that is used to search electronically stored unstructured text (for example, digital archives, email, scientific literature, etc.) for information that is… …   Wikipedia

• WordNet — is a lexical database for the English language.[1] It groups English words into sets of synonyms called synsets, provides short, general definitions, and records the various semantic relations between these synonym sets. The purpose is twofold:… …   Wikipedia

• Constrained Conditional Models — A Constrained Conditional Model (CCM) is a machine learning and inference framework that augments the learning of conditional (probabilistic or discriminative) models with declarative constraints. The constraint can be used as a way to… …   Wikipedia

• Dragomir R. Radev — is a University of Michigan computer science professor working on natural language processing and information retrieval. He is currently working on the fields of open domain question answering, multi document summarization, and the application of …   Wikipedia