stanford nlp - What is the correct approach to extract information from multiple sentences using Apache Open NLP? -


test data:

$$ <rate of interest> <buy/sell> following on <date> <code1> <decription1> <number1> <code2> <decription2> <number2> <code3> <decription3> <number3>

this means, applied following 3 codes (each provided code, description , number). in first line applies of them.

which approach/model should use extract information in behaviour described above?

i have tried running named entity recognition. having them broken in 4 sentences, used <start:common> following <end> suggest common information. can suggest better approaches, pick, either in apache opennlp/stanford nlp or other tool?


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