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  2. Wikipedia:Workshop/Sample one-day workshop - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Workshop/Sample...

    Workshop presenters can bring printouts of the agenda for anyone who comes without a computer and any other handouts they prefer. An overhead projector connected to the facilitator's computer which allows participants to watch the facilitator's cursor move through the lesson is very helpful, especially for larger groups and/or those which may ...

  3. SemEval - Wikipedia

    en.wikipedia.org/wiki/SemEval

    SemEval (Semantic Evaluation) is an ongoing series of evaluations of computational semantic analysis systems; it evolved from the Senseval word sense evaluation series. The evaluations are intended to explore the nature of meaning in language.

  4. Requirements analysis - Wikipedia

    en.wikipedia.org/wiki/Requirements_analysis

    In systems engineering and software engineering, requirements analysis focuses on the tasks that determine the needs or conditions to meet the new or altered product or project, taking account of the possibly conflicting requirements of the various stakeholders, analyzing, documenting, validating, and managing software or system requirements.

  5. Evaluation of machine translation - Wikipedia

    en.wikipedia.org/wiki/Evaluation_of_machine...

    Along with a modified form of the comprehension evaluation (re-styled as informativeness evaluation), the most popular method was to obtain ratings from monolingual judges for segments of a document. The judges were presented with a segment, and asked to rate it for two variables, adequacy and fluency.

  6. Template:Evaluation strategy - Wikipedia

    en.wikipedia.org/wiki/Template:Evaluation_strategy

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file

  7. Latent semantic analysis - Wikipedia

    en.wikipedia.org/wiki/Latent_semantic_analysis

    Animation of the topic detection process in a document-word matrix. Every column corresponds to a document, every row to a word. A cell stores the weighting of a word in a document (e.g. by tf-idf), dark cells indicate high weights. LSA groups both documents that contain similar words, as well as words that occur in a similar set of documents.