Questionnaire 3: Question Answering (QA)

Have you ever asked yourself what happens when you introduce a question in your computer? No? Never? Then you will get surprised with today’s post because I am going to talk about Question Answering (QA).

Question Answering (QA)

Question Answering (QA) is, in information retrieval, the task of answering automatically a question asked in natural language. In order to provide you with a proper answer a QA computer program can use either a pre-structured database or a collection of natural language documents (such as the World Wide Web, for instance).

Questionnaire 2: Word Sense Disambiguation & Named Entity Recognition

We have talked in the previous post about Machine Translation (MT) because it is considered a sub-field of the Computational Linguistics that we are currently studying. Broadly speaking, MT consists of translating words or speech from one natural language to another one using translation software. As we said, MT faces two problems in two different sub-areas of Natural Language Processing (NLP) that we are going to discover today in this post.

The Tower of Babel by Pieter Brueghel the Elder. "Come, let us go down and confuse their language so they will not understand each other." (Genesis 11:7)

Word Sense Disambiguation (WSD):

In the first place, and as you all may have guessed by now, Word Sense Disambiguation (WSD) consists of identifying which sense of a word is the most suitable in a given sentence, considering, obviously, that the word has a large number of distinct senses. To achieve this goal there are two different possible approaches: deep approaches and shallow approaches.