AKA Story

Tag: N-Gram

Answering Tasks for AI

Musio TeamA.I.

Goal The aim of this short summary is to provide an overview of the tasks an AI system is, should be and will be capable to execute in the near future. In particular we focus on classifying tasks with respect to NLP. Motivation When testing existing algorithms it is of great importance to have a clear interpretation of the results. This can be achieved by setting up specific learning environments in such a way that the complexity of the task is always under control. More generally, the state-of-the-art problems determine next development steps for Musio. Ingredients common sense, coreference, compound, conjunction, deduction, induction, argument relation, counting, negation, indefinite knowledge, time reasoning, positional and size reasoning, path finding, motivational reasoning. Steps […]

Seminar on Research related to NLP

Musio TeamA.I.

For more info: Research-presentation-related-in-NLP This seminar was presented by Ash. The summary of this seminar is as follows.   ***Peeking Into The Seminar***   This seminar was about large Corpus-based automatic grammar rules and export methods for information. There are two types.   1. Edit : A broad-coverage grammar checker using grammar pattern recognition.   example)     2. Information extraction from Web-scale N-gram data example) is(Laden, terrorist) – two words are connected with ‘is’ partOf(Laden,zihard) – a word connotes another word in two words hasProperty(Laden,cruelty) – a word modifies the other word in two words.     For editing purposes, as the real purpose of this is editing sentences, it is used to edit a user’s sentences by exporting accurate […]