Method and device for extracting causal from natural language sentences for intelligent systems

A computing device for extracting causal from natural language sentences, the device comprising:

• a processor;
• and
• a memory communicatively coupled to the processor, wherein the memory stores processor instructions, which, on execution, causes the processor to:
• determine a plurality of parameters for each target word in a sentence inputted by a user wherein the plurality of parameters for a target word comprise a Part of Speech (POS) vector associated with the target word comprising a POS tag for the target word and a POS tag for at least two words preceding the target word, a word embedding for the target word, a word embedding for a head word of the target word, and a dependency label for the target word;
• process for each target word an input vector comprising the plurality of parameters for a causal classifier neural network;
• identify causal tags associated with each target word in the sentence based on processing of associated input vector;
• extract the causal text from the sentence based on the causal tags associated with each target word in the sentence;
• and
• provide a response to the sentence inputted by the user based on the causal text extracted for the sentence.

The computing device of claim 19, wherein to identify the causal tags associated with each target word, the processor instructions further cause the processor to:

• assign a Begin Causal tag to a word in the sentence marking the beginning of the causal text;
• assign an Inside Causal tag to each word in the causal text succeeding the word marking the beginning of the causal text;
• and
• assign an Others tag to each remaining word in the sentence.

A non-transitory computer-readable storage medium having stored thereon, a set of computer-executable instructions causing a computer comprising one or more processors to perform steps comprising:

• determining a plurality of parameters for each target word in a sentence inputted by a user wherein the plurality of parameters for a target word comprise a Part of Speech (POS) vector associated with the target word comprising a POS tag for the target word and a POS tag for at least two words preceding the target word, a word embedding for the target word, a word embedding for a head word of the target word, and a dependency label for the target word;
• processing for each target word an input vector comprising the plurality of parameters for a causal classifier neural network;
• identifying causal tags associated with each target word in the sentence based on processing of associated input vector;
• extracting the causal text from the sentence based on the causal tags associated with each target word in the sentence;
• and
• providing a response to the sentence inputted by the user based on the causal text extracted for the sentence.