| from typing import List, Optional
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| from pydantic import BaseModel, Field
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| from langchain_core.output_parsers import JsonOutputParser
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| class Entity(BaseModel):
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| name : str = Field(description="The specific name of the entity. ")
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| type : str = Field(description="The type or category that the entity belongs to.")
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| class EntityList(BaseModel):
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| entity_list : List[Entity] = Field(description="Named entities appearing in the text.")
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| class Relation(BaseModel):
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| head : str = Field(description="The starting entity in the relationship.")
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| tail : str = Field(description="The ending entity in the relationship.")
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| relation : str = Field(description="The predicate that defines the relationship between the two entities.")
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| class RelationList(BaseModel):
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| relation_list : List[Relation] = Field(description="The collection of relationships between various entities.")
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| class Event(BaseModel):
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| event_type : str = Field(description="The type of the event.")
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| event_trigger : str = Field(description="A specific word or phrase that indicates the occurrence of the event.")
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| event_argument : dict = Field(description="The arguments or participants involved in the event.")
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| class EventList(BaseModel):
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| event_list : List[Event] = Field(description="The events presented in the text.")
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| class Triple(BaseModel):
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| head: str = Field(description="The subject or head of the triple.")
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| head_type: str = Field(description="The type of the subject entity.")
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| relation: str = Field(description="The predicate or relation between the entities.")
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| relation_type: str = Field(description="The type of the relation.")
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| tail: str = Field(description="The object or tail of the triple.")
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| tail_type: str = Field(description="The type of the object entity.")
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| class TripleList(BaseModel):
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| triple_list: List[Triple] = Field(description="The collection of triples and their types presented in the text.")
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| class TextDescription(BaseModel):
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| field: str = Field(description="The field of the given text, such as 'Science', 'Literature', 'Business', 'Medicine', 'Entertainment', etc.")
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| genre: str = Field(description="The genre of the given text, such as 'Article', 'Novel', 'Dialog', 'Blog', 'Manual','Expository', 'News Report', 'Research Paper', etc.")
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| class MetaData(BaseModel):
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| title : str = Field(description="The title of the article")
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| authors : List[str] = Field(description="The list of the article's authors")
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| abstract: str = Field(description="The article's abstract")
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| key_words: List[str] = Field(description="The key words associated with the article")
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| class Baseline(BaseModel):
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| method_name : str = Field(description="The name of the baseline method")
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| proposed_solution : str = Field(description="the proposed solution in details")
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| performance_metrics : str = Field(description="The performance metrics of the method and comparative analysis")
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| class ExtractionTarget(BaseModel):
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| key_contributions: List[str] = Field(description="The key contributions of the article")
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| limitation_of_sota : str=Field(description="the summary limitation of the existing work")
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| proposed_solution : str = Field(description="the proposed solution in details")
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| baselines : List[Baseline] = Field(description="The list of baseline methods and their details")
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| performance_metrics : str = Field(description="The performance metrics of the method and comparative analysis")
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| paper_limitations : str=Field(description="The limitations of the proposed solution of the paper")
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| class Person(BaseModel):
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| name: str = Field(description="The name of the person")
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| identity: Optional[str] = Field(description="The occupation, status or characteristics of the person.")
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| role: Optional[str] = Field(description="The role or function the person plays in an event.")
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| class Event(BaseModel):
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| name: str = Field(description="Name of the event")
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| time: Optional[str] = Field(description="Time when the event took place")
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| people_involved: Optional[List[Person]] = Field(description="People involved in the event")
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| cause: Optional[str] = Field(default=None, description="Reason for the event, if applicable")
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| process: Optional[str] = Field(description="Details of the event process")
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| result: Optional[str] = Field(default=None, description="Result or outcome of the event")
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| class NewsReport(BaseModel):
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| title: str = Field(description="The title or headline of the news report")
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| summary: str = Field(description="A brief summary of the news report")
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| publication_date: Optional[str] = Field(description="The publication date of the report")
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| keywords: Optional[List[str]] = Field(description="List of keywords or topics covered in the news report")
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| events: List[Event] = Field(description="Events covered in the news report")
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| quotes: Optional[dict] = Field(default=None, description="Quotes related to the news, with keys as the citation sources and values as the quoted content. ")
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| viewpoints: Optional[List[str]] = Field(default=None, description="Different viewpoints regarding the news")
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| class ChemicalSubstance(BaseModel):
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| name: str = Field(description="Name of the chemical substance")
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| formula: str = Field(description="Molecular formula")
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| appearance: str = Field(description="Physical appearance")
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| uses: List[str] = Field(description="Primary uses")
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| hazards: str = Field(description="Hazard classification")
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| class ChemicalList(BaseModel):
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| chemicals: List[ChemicalSubstance] = Field(description="List of chemicals")
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