CAESAR: Context Awareness Enabled Summary-Attentive Reader
نویسندگان
چکیده
Comprehending meaning from natural language is a primary objective of Natural Language Processing (NLP), and text comprehension is the cornerstone for achieving this objective upon which all other problems like chat bots, language translation and others can be achieved. We report a Summary-Attentive Reader we designed to better emulate the human reading process, along with a dictiontarybased solution regarding out-of-vocabulary (OOV) words in the data, to generate answer based on machine comprehension of reading passages and question from the SQuAD benchmark. Our implementation of these features with two popular models (Match LSTM and Dynamic Coattention) was able to reach close to matching the results obtained from humans.
منابع مشابه
CAESAR: Context-Awareness Enabled and Summary-Attentive Reader
Comprehending meaning from natural language is the primary objective of Natural Language Processing(NLP), and text comprehension definitely is the cornerstone for achieving this objective upon which all other problems like chat bots, language translation and others can be modeled in some way or the other. In this report, we first present a brief analysis of some of the state of the art(SOTA) so...
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