The Singularity is very old phenomena in Science and physics. For example electromagnetism shows singularity behavior between the electricity and magnetism. Similarly, Ebert Einstein later on, came up with the string theory. He combined all four different fundamental forces(gravitational, electromagnetic, weak and strong interactions) together and explained all with one formula. The Singularity phenomena brings the simplicity and independence in system. The physics and natural language are not much different. As researchers look both of them in terms of mathematics. You can treat the collations unit, word group as mass and attractions between the words can be treated as semantics which revolve around them and distance(Physics) is equivalent to word, sentence difference and even syntax.
Coming to the point, we have n-numbers of natural language tools, which extract or tag different type of information. How intelligently can we used maximum of them together. The whole system architecture some times depends on the order of execution and what are all the resources and tools one going to used. Can't we used them in parallel? Can't we able to design the perfect data structure which hold all type of information and which has fundamental operations like update, insert and delete? A data-structure which can hold the information at word level, word group level, parse tree level, sentence level. A data-structure which can hold information given be basic NLP toolkit like tagger, morph-analyzer to complex NLP toolkit like information extraction. A data-structure where we can map different resources like word net, frame net, propbank and others.
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