Reasoning in Legal Text Documents with Extracted Event Information
نویسندگان
چکیده
منابع مشابه
On Coreferring Text-extracted Event Descriptions with the aid of Ontological Reasoning
Systems for automatic extraction of semantic information about events from large textual resources are now available: these tools are capable to generate RDF datasets about text extracted events and this knowledge can be used to reason over the recognized events. On the other hand, text based tasks for event recognition, as for example event coreference (i.e. recognizing whether two textual des...
متن کاملLegal Event Reasoning for Software Agents
In a previous paper the authors extended a top-level reference ontology to support the representation and reasoning of legal ownership concepts in multi agent communication. In this paper we further enhance this ontology. However, for a software agent to reason about such concepts, it is also necessary to have a computational model of the ontological system. One way to model such system is to t...
متن کاملNeural Reasoning for Legal Text Understanding
We propose a domain specific Question Answering system. We deviate from approaching this problem as a Textual Entailment task. We implemented a Memory Network-based Question Answering system which test a Machine’s understanding of legal text and identifies whether an answer to a question is correct or wrong, given some background knowledge. We also prepared a corpus of real USA MBE Bar exams fo...
متن کاملTemporal information extraction from legal documents
The aim of this paper is to analyze what kinds of temporal information can be found in different types of legal documents. In particular, it provides a comparison of different legal document types (case law, statute or transactional document) and how one can do further reasoning with the extracted temporal information.
متن کاملBook Recommending Using Text Categorization with Extracted Information
Content-based recommender systems suggest documents, items, and services to users based on learning a pro le of the user from rated examples containing information about the given items. Text categorization methods are very useful for this task but generally rely on unstructured text. We have developed a bookrecommending system that utilizes semi-structured information about items gathered from...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2011
ISSN: 0975-8887
DOI: 10.5120/3402-4742