Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In the last few years University of Turin and CIRSFID University of Bologna collaborated to pair NLP techniques and legal knowledge to detect modificatory provisions in normative texts. Annotating these modifications is a relevant and interesting problem, in that modifications affect the whole normative system; and legal language, though more regular than unrestricted language, is sometimes particularly convoluted, and poses specific linguistic issues.  focuses on two major aspects. First,  explore a combination beten parsing and regular expressions; to the best of our knowledge, such hybrid strategy has never been proposed before to tackle the problem at hand. Secondly,  significantly extend past works coverage (basically focussed on  substitution, integration  and  repeal  modifications) in order to account for further tlve modification kinds. For the sake of conciseness,  fully illustrate and discuss only few modification types that are more relevant and interesting:  suspension, prorogation of efficacy, postponement of efficacy  and  exception/derogation . These sorts of modifications appear particularly challenging, in that modifications in these categories make use of similar linguistic speech acts and verbs, and exhibit strong similarities in the linguistic syntactical patterns, to such an extent that to discern them is difficult for the legal expert, too.  describe the implemented system and report about an extensive experimentation on the new modificatory provisions. Results are discussed in order to improve both system's accuracy and annotation practice.
['Davide Gianfelice', 'Leonardo Lesmo', 'Monica Palmirani', 'Daniele Perlo', 'Daniele P. Radicioni']
I am writing a research paper on a idea Modificatory provisions detection: a hybrid NLP approach
[{"from": "human", "value": "I am writing a research paper on a idea Modificatory provisions detection: a hybrid NLP approach"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In the last few years University of Turin and CIRSFID University of Bologna collaborated to pair NLP techniques and legal knowledge to detect modificatory provisions in normative texts. Annotating these modifications is a relevant and interesting problem, in that modifications affect the whole normative system; and legal language, though more regular than unrestricted language, is sometimes particularly convoluted, and poses specific linguistic issues.  focuses on two major aspects. First,  explore a combination beten parsing and regular expressions; to the best of our knowledge, such hybrid strategy has never been proposed before to tackle the problem at hand. Secondly,  significantly extend past works coverage (basically focussed on  substitution, integration  and  repeal  modifications) in order to account for further tlve modification kinds. For the sake of conciseness,  fully illustrate and discuss only few modification types that are more relevant and interesting:  suspension, prorogation of efficacy, postponement of efficacy  and  exception/derogation . These sorts of modifications appear particularly challenging, in that modifications in these categories make use of similar linguistic speech acts and verbs, and exhibit strong similarities in the linguistic syntactical patterns, to such an extent that to discern them is difficult for the legal expert, too.  describe the implemented system and report about an extensive experimentation on the new modificatory provisions. Results are discussed in order to improve both system's accuracy and annotation practice."}]