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  2. Medoid - Wikipedia

    en.wikipedia.org/wiki/Medoid

    Medoid-based clustering can be used to identify the most representative sentences in a document or a group of documents, which can then be combined to create a summary. This approach is especially useful for extractive summarization tasks, where the goal is to generate a summary by selecting the most relevant sentences from the original text. [11]

  3. Text simplification - Wikipedia

    en.wikipedia.org/wiki/Text_simplification

    A text simplification system aims to change the first sentence into a group of simpler sentences, as seen just below the first sentence. Also contributing to the firmness in copper, the analyst noted, was a report by Chicago purchasing agents, which precedes the full purchasing agents report that is due out today and gives an indication of what ...

  4. Sentence embedding - Wikipedia

    en.wikipedia.org/wiki/Sentence_embedding

    BERT pioneered an approach involving the use of a dedicated [CLS] token prepended to the beginning of each sentence inputted into the model; the final hidden state vector of this token encodes information about the sentence and can be fine-tuned for use in sentence classification tasks. In practice however, BERT's sentence embedding with the ...

  5. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec is a group of related models that are used to produce word embeddings. These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words. Word2vec takes as its input a large corpus of text and produces a vector space , typically of several hundred dimensions , with each unique word in the ...

  6. Sentence extraction - Wikipedia

    en.wikipedia.org/wiki/Sentence_extraction

    Sentence extraction is a technique used for automatic summarization of a text. In this shallow approach, statistical heuristics are used to identify the most salient sentences of a text. Sentence extraction is a low-cost approach compared to more knowledge-intensive deeper approaches which require additional knowledge bases such as ontologies ...

  7. Sentiment analysis - Wikipedia

    en.wikipedia.org/wiki/Sentiment_analysis

    A basic task in sentiment analysis is classifying the polarity of a given text at the document, sentence, or feature/aspect level—whether the expressed opinion in a document, a sentence or an entity feature/aspect is positive, negative, or neutral. Advanced, "beyond polarity" sentiment classification looks, for instance, at emotional states ...

  8. Drug discovery - Wikipedia

    en.wikipedia.org/wiki/Drug_discovery

    In the fields of medicine, biotechnology, and pharmacology, drug discovery is the process by which new candidate medications are discovered. [1]Historically, drugs were discovered by identifying the active ingredient from traditional remedies or by serendipitous discovery, as with penicillin.

  9. Cleft sentence - Wikipedia

    en.wikipedia.org/wiki/Cleft_sentence

    A cleft sentence is a complex sentence (one having a main clause and a dependent clause) that has a meaning that could be expressed by a simple sentence. Clefts typically put a particular constituent into focus. In spoken language, this focusing is often accompanied by a special intonation. In English, a cleft sentence can be constructed as ...