Open AccessA Decade of Using Hybrid Inference Systems in NLP (2005-2015) : A Survey
Author(s) -
Ali Almiman
Publication year - 2016
Publication title -
international journal of artificial intelligence and applications
Language(s) - English
Resource type - Journals
eISSN - 0976-2191
pISSN - 0975-900X
DOI - 10.5121/ijaia.2016.7405
Subject(s) - computer science , inference , artificial intelligence , natural language processing , machine learning , data science
In today’s world of digital media, connecting millions of users, large amounts of information is being generated. These are potential mines of knowledge and could give deep insights about the trends of both social and scientific value. However, owing to the fact that most of this is highly unstructured, we cannot make any sense of it. Natural language processing (NLP) is a serious attempt in this direction to organise the textual matter which is in a human understandable form (natural language) in a meaningful and insightful way. In this, text entailment can be considered a key component in verifying or proving the correctness or efficiency of this organisation. This paper tries to make a survey of various text entailment methods proposed giving a comparative picture based on certain criteria like robustness and semantic\udprecision