Background

Politics has the role of preparing a budget that takes into account income and expenditure and decides how to spend the money. The national budget is prepared by the Cabinet, and based on the draft budget, it is debated in the Diet before being approved. The budget of the local government is passed after the budget is prepared by the governor or the mayor and deliberated in the assembly. However, there is a problem that it is difficult to understand the background of the budget and the discussions that have led to the passage of the budget.

Purpose

Budget Argument Mining aims to connect published budget documents with the discussions included in the meeting minutes. Specifically, when a budget item (Amount, name of competent ministry/department, and explanation) is given, it finds politicians’ statements related to the budget (statements including the expression of the amount of money) in the Congressional Record and assigns three discussion labels [Claim, Premise, Other].

  • Input
    • Budget Items (Budget ID, amount, name of competent ministry/department, description)
    • Minutes of the Assembly (Congress name, speaker, speech, monetary expression, relevant ID, argumentClass)
  • Output
    • Congressional Record – Monetary Value Granted by Unique Representation Extractor (GINZA 4.0) – Grant the Budget ID of the Budget Item to the Related ID
    • argumentClass ( Seven classes )
      1. Premise : Past and Decisions
      2. Premise : Current and Future / Estimates
      3. Premise : Other:
      4. Claim : Opinions, suggestions, and questions:
      5. Claim : Other
      6. It is not a monetary expression.
      7. Other
  • Evaluation
    • argumentClass
      – Correct answer rate = Correct answer question label ➗ Argument label
    • relatedID
      – Recall = number of correct answers in output ➗ number of correct answers
      – Precision = number of correct answers in output ➗ number of outputs (concatenation)

20210519-PoliInfo3-BudgetArgumentMining

Annotation

How do we assign an argumentClass?

ArgumentClass is divided into “Claim,” “Premise,” “Not a monetary expression,” and “Other.

Claim (claim) summarizes claims by expression of opinions, proposals, and questions, and defines the rest as “others”. Premise is divided into “past” and “future” on the time axis, and “other” is defined as the case where neither is applicable.

What kind of argumentClass are there?

  1. Premise : Past and Decisions
  2. Premise : Current and Future / Estimates
  3. Premise : Other:
  4. Claim : Opinions, suggestions, and questions:
  5. Claim : Other
  6. It is not a monetary expression.
  7. Other

argumentClass is attached to a “clause” , which includes a money expression.

What is “relatedID”?

The relatedID is assigned to the monetary expression contained in the statement in the meeting minutes. It is associated with the budget item (budgetId) that is related to the monetary expression included in the meeting minutes.

What is the data?

Diet and the House of Representatives and three local governments

  • Diet and the House of Representatives 
  • 012033 Otaru-city, Hokkaido
  • 080004 Ibaraki
  • 401307 Fukuoka-city, Fukuoka

対象とする会議録と予算

  • 080004 Ibaraki
  • 401307 Fukuoka-city, Fukuoka

Budget field name

  • In the case of Fukuoka City, the April 2020 supplementary budget is considered to be the first supplementary budget and will be “01”.
Field nameExplanation
budgetIdIdentifier of the budgetID-2020-401307-00-000001
budgetTitleBudget title令和2年度当初予算案
typesOfAccountType of account (General and special accounts)
departmentName of competent ministry/department財政局
urlURLhttps://www.city.fukuoka.lg.jp/data/open/cnt/3/73586/1/05.R2juuyousesaku.pdf?20200213220202
budgetItembudget item“持続可能な財政運営に向けた取組みの推進” 
categoriesTop Hierarchy, Category (Details – Overview)[]
budgetCurrent year’s budget404千円
budgetLastYearPrevious year’s budgetnull
description平成29年6月に策定した「財政運営プラン」の取組みの方向性を踏まえ、市民生活に必要な行政サービスを安定的に提供しつつ、重要施策の推進や新たな課題に対応するために必要な財源を確保できるよう、政策推進プランに基づき投資の選択と集中を図るとともに、歳入の積極的な確保や行政運営の効率化、既存事業の組替えなどの不断の改善、市債残高の縮減などに取り組む
budgetDifferencecomparative increase or decreasenull

予算の json

[
    {
        "budgetId": "ID-2019-012033-00-000001",
        "budgetTitle": "平成31年度当初予算案",
        "url": "https://www.city.otaru.lg.jp/docs/2020121200484/file_contents/03_H31_syuyo_zigyo_sashikae_r01.pdf",
        "budgetItem": "病児保育事業費補助金",
        "budget": "4,275千円",
        "categories": [
            "保育環境の整備 《公約1-①》",
            "安心して子どもを生み育てることのできるまち(子ども・子育て)"
        ],
        "typesOfAccount": null,
        "department": "福祉部",
        "budgetLastYear": null,
        "description": "市内の保育所・幼稚園・認定こども園、小学校に通う1歳6か月から小学校2年生までの児童を対象に、病気になった際の一時保育を実施する学校法人小樽学園いなほ幼稚園に対する補助",
        "budgetDifference": null
    }
]

会議録のフィールド名

Field nameExplanationExample
datedata“2001/8/8”
localGovernmentCodeLocal government code (6 digits)011002
localGovernmentNameLocal government name“小樽市”
proceedingTitleproceeding title“”
urlURL“”
proceedingSpeakers and their comments[]
└ speakerPositionPosition知事・市長・議員・議長・その他
└ speakerSpeaker迫 俊哉
└ utteranceSpeech令和2年第1回定例会の開会に当たり…
 └ moneyExpressionsmoney expression included in the statement
  └ moneyExpressionmoney expression“2億 3,740万円増”
  └ relatedIDRelated budget IDs, list type, can store multiple IDs[]
  └ argumentClassargument labels“決定事項”

会議録 json

[
    {
        "date": "2019-02-20",
        "localGovernmentCode": "011002",
        "localGovernmentName": "小樽市",
        "proceedingTitle": "平成31年第1回定例会 本会議録",
        "url": "http://",
        "proceeding": [
            {
                "speakerPosition": "市長",
                "speaker": "迫 俊哉",
                "utterance": "平成 31 年第1回定例会の開会に当たり、ただいま上程されました各案件に係る提案理由の説明に先立ち、幾つか申し述べさせていただきます。まず、歳入についてでありますが、市税につきましては、個人市民税、法人市民税などで減収が見込まれるものの、固定資産税、都市計画税などで増収が見込まれることから、2.7%、3億 5,280万円増の135億 7,350万円を見込みました。",
                "moneyExpressions": [
                    {
                        "moneyExpression": "3億 5,280万円増",
                        "relatedID": null,
                        "argumentClass": "Premise : 未来(現在以降)・見積"
                    },
                    {
                        "moneyExpression": "135億 7,350万円",
                        "relatedID": null,
                        "argumentClass": "Premise : 未来(現在以降)・見積"
                    }
                ]
            }
        ]
    }
]

参考文献

国会および地方議会の予算審議を対象としたBudget Argument Miningタスクの提案  永渕景祐, 土屋彩夏, 木村泰知 言語処理学会第27回年次大会(NLP2021) P6-13 2021年3月