Natural Language Processing Test
What is NLP? - answer The study of the computation treatment of natural (human)
language
Applications - answer Search Engines (Google, Yahoo!, Bing, Baidu) to treat and
understand queries
Question answering (IBM's Watson)
Natural Language assistants (Siri, Google Now)
Translation systems (Google Translate)
News digest (Yahoo!)
Automatic earthquake report
Popular Techniques - answer
Limitations - answer
Typical challenges - answer Nature of words and their functions in sentences, length of
sentences, nature of implicit contexts, distance between dependent words,
AMBIGUITY, implicit knowledge, and common sense, etc
Examples of NLP - answerBlog, emails, press releases, chats, debates, scientific
documents/papers, anonymized documents, poetry, literary texts. Each presents
different challenges to NLP.
Semantic Relationships (Similarity) - answerAntonymy, Hypernymy, Hyponymy,
Mermbership Meronymy, Part Meronymy
Synonyms - answerWords or word compounds that can have similar meaning
Polysemy - answerProperty for words to have many meaning (the occurence of the
various meaning have different frequencies)
WordNet - answerSpecial database of lexical relationships between english words and
their semantic
relationships. Most common relationship in the database is hypernymy.
Thesauri - answerEuroWordNet, Open Thesaurus, Freebase, DBPedia, BabelNet,
Various thesauri
MeSH (Medical Subject Headings)
Vector Space Model similarity - answerDocument Similarity, Distribution Similarity
What is NLP? - answer The study of the computation treatment of natural (human)
language
Applications - answer Search Engines (Google, Yahoo!, Bing, Baidu) to treat and
understand queries
Question answering (IBM's Watson)
Natural Language assistants (Siri, Google Now)
Translation systems (Google Translate)
News digest (Yahoo!)
Automatic earthquake report
Popular Techniques - answer
Limitations - answer
Typical challenges - answer Nature of words and their functions in sentences, length of
sentences, nature of implicit contexts, distance between dependent words,
AMBIGUITY, implicit knowledge, and common sense, etc
Examples of NLP - answerBlog, emails, press releases, chats, debates, scientific
documents/papers, anonymized documents, poetry, literary texts. Each presents
different challenges to NLP.
Semantic Relationships (Similarity) - answerAntonymy, Hypernymy, Hyponymy,
Mermbership Meronymy, Part Meronymy
Synonyms - answerWords or word compounds that can have similar meaning
Polysemy - answerProperty for words to have many meaning (the occurence of the
various meaning have different frequencies)
WordNet - answerSpecial database of lexical relationships between english words and
their semantic
relationships. Most common relationship in the database is hypernymy.
Thesauri - answerEuroWordNet, Open Thesaurus, Freebase, DBPedia, BabelNet,
Various thesauri
MeSH (Medical Subject Headings)
Vector Space Model similarity - answerDocument Similarity, Distribution Similarity
