1990-08-10|DARPA


01 | Title


02 | innovative claims


02.01 | extraction algorithm featuring recursive packetizing process


02.02 | generic knowledge storage mechanism


03 | deliverables


03.01 | document describing the following


03.02 | demonstration prototype system


04 | schedule and milestones for the proposed research


05 | proprietary claims


06 | a statement of work


06.01 | language-independent part


06.02 | language-dependent part


07 | a description of results, products, and transferable technology


07.01 | primary focus on stretching the state of the art


07.02 | expected human-machine interface


07.03 | specification of data


07.04 | amount of human effort involved


07.05 | guestimate of the volume of text


08 | a technical rationale section


08.01 | model


08.02 | knowledge framework


08.03 | modular algorithm

  1. sentence detection

  2. word separation

  3. preposition identification

  4. proximity analysis and verb recognition

  5. packetization

  6. recursive packetization and database look-up

  7. template mapping


08.04 | language-independence

  1. sentence detection

  2. word separation algorithm

  3. preposition identification

  4. proximity analysis and verb recognition

  5. packetization

  6. recursive packetization and database look-up

  7. template mapping


08.05 | domain-independence


08.06 | algorithm demonstration example (English)

  1. original text
    <DOCNO>20
    <DD>05/30/90
    <SO>Financial Times
    Moscow is to broaden.collaboration with Fiat by making a version of Fiat's Panda small car instead of a new vehicle of its own design.  This means Fiat may be involved in all three phases of Soviet plans for raising output at the Yelabuga plant, 1,000 miles south-east of Moscow, by 900 units by the end of the 1990s.  The two sides agreed last November to launch a joint venture at Yelabuga to make 300,000 small cars from 1994, and to discuss output of an extra 300,000 medium-sized vehicles from 1995.
      
  2. sentence detection

  3. word separation
    INDEX:      ((20/1) (from 1 to 135 Bytes))
    DATE:       (1990-05-30)
    SOURCE:     (Financial Times)
    Moscow is to broaden.collaboration with Fiat by making a version of (Panda (Fiat)) small car instead of a new vehicle of its own design.
      

    INDEX: ((20/2) (from 136 to 317 Bytes)) DATE: (1990-05-30) SOURCE: (Financial Times) This means Fiat may be involved in all three phases of Soviet plans for raising output at the Yelabuga plant, 1,000 miles south-east of Moscow, by 900 units by the end of the 1990s.

    INDEX: ((20/3) (from 318 to 503 Bytes)) DATE: (1990-05-30) SOURCE: (Financial Times) The two sides agreed last November to launch a joint venture at Yelabuga to make 300,000 small cars from 1994, and to discuss output of an extra 300,000 medium-sized vehicles from 1995.

  4. preposition identification

  5. proximity analysis and verb recognition
    INDEX:      ((20/1) (from 1 to 135 Bytes))
    DATE:       (1990-05-30)
    SOURCE:     (Financial Times)
    Moscow is to broaden collaboration with Fiat by making a version of (Panda (Fiat)) small car instead of a new vehicle of its own design.
      

    INDEX: ((20/2) (from 136 to 317 Bytes)) DATE: (1990-05-30) SOURCE: (Financial Times) This means Fiat may be involved in all three phases of Soviet plans for raising output at the Yelabuga plant, 1,000 miles south-east of Moscow, by 900 units by the end of the 1990s.

    INDEX: ((20/3) (from 318 to 503 Bytes)) DATE: (1990-05-30) SOURCE: (Financial Times) The two sides agreed last November to launch a joint venture at Yelabuga to make 300,000 small cars from 1994, and to discuss output of an extra 300,000 medium-sized vehicles from 1995.

  6. packetization
    INDEX:      ((20/1) (from 1 to 135 Bytes))
    DATE:       (1990-05-30)
    SOURCE:     (Financial Times)
    SUBJECT:    (Moscow)
    VERB:       (is)
    to:         (broaden (collaboration))
    with:       (Fiat)
    by:         (making (a version (Panda (Fiat) (small car))))
    instead of: (a new vehicle (its own design))
      

    INDEX: ((20/2) (from 136 to 317 Bytes)) DATE: (1990-05-30) SOURCE: (Financial Times) SUBJECT: (This) VERB: (means) SUBJECT: (Fiat) VERB: (may be involved) in: (all three phases (Soviet plans)) for: (raising output) at: (Yelabuga plant (1,000 miles south-east (Moscow))) by: (900 units) by: (the end (the 1990s))

    INDEX: ((20/3) (from 318 to 503 Bytes)) DATE: (1990-05-30) SOURCE: (Financial Times) SUBJECT: (The two sides) VERB: (agreed (last November)) to: (launch (a joint venture)) at: (Yelabuga) to: (make (300,000 small cars)) from: (1994) to: (discuss output (an extra 300,000 medium-sized vehicles)) from: (1995)

  7. recursive packetization and database look-up
    INDEX:      ((20/1) (from 1 to 135 Bytes))
    DATE:       (1990-05-30)
    SOURCE:     (Financial Times)
    SUBJECT:    (Moscow (Soviet Union))
    VERB:       (be (present))
    WHAT:       (broaden (collaboration))
    WHOM/WITH:  (Fiat (company (Italy)))
    HOW/BY:     (make (a version (Panda (Fiat) (small car))))
    INSTEAD OF: (a new vehicle (design (@ SUBJECT/20/1)))
      

    INDEX: ((20/2) (from 136 to 138 Bytes)) DATE: (1990-05-30) SOURCE: (Financial Times) SUBJECT: (@ SUBJECT/20/1) VERB: (mean (present)) WHAT: (@ SUBJECT/20/2/1)

    INDEX: ((20/2/1) (from 139 to 317 Bytes)) DATE: (1990-05-30) SOURCE: (Financial Times) SUBJECT: (Fiat (company (Italy))) VERB: (involve (present)) CERTAINTY: (from 30 to 70 (%)) HOW: (all three phases (Soviet plans)) WHAT: (raise output) WHERE: (Yelabuga plant (1.6M (meter) (south-east (Moscow)))) HOW/MUCH: (900 (units)) WHEN/BY: (1999)

    INDEX: ((20/3) (from 318 to 503 Bytes)) DATE: (1990-05-30) SOURCE: (Financial Times) SUBJECT: (The two sides) VERB: (agree (past) (1989-11)) WHAT: (launch (a joint venture)) WHERE: (@ Yelabuga) WHAT: (make (300K (small cars))) WHEN/FROM: (1994) WHAT: (discuss output (an extra 300K (medium-sized vehicles))) WHEN/FROM: (1995)

  8. template mapping
    ARTICLE ID:           20
    DATE OF ARTICLE:      1990-05-30
    NEWS SOURCE:          Financial Times
    STATUS OF AGREEMENT:
    NAME OF COMPANY A:    Moscow (Soviet Union)
    NAME OF COMPANY B:    Fiat
    DATE OF AGREEMENT:    1989-11
    PRODUCT/SERVICE:      small car
    LOCATION:             Yelabuga (Soviet Union)
    % OF INVESTMENT OF A:
    % OF INVESTMENT OF B:
    START-UP DATE:        1994
    etc.
      


08.07 | knowledge packet properties and attributes


08.08 | lexicon/grammar databases


08.09 | the corpora, lexicons, and grammars for algorithm development


08.10 | example of databases


08.11 | porting the algorithms to other languages


08.12 | future applications


09 | previous accomplishments and work in this or related area


10 | a description of the facilities


10.01 | type of business


10.02 | company profile


11 | key personnel


12 | the qualifications of key personnel


13 | a cost breakdown


14 | a bibliography of relevant technical papers and research notes

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