A Decade of Using Hybrid Inference Systems in NLP (2005-2015) : A Survey
Ali Almiman · International Journal of Artificial Intelligence & Applications · 2016
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 precision.