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A Simple Example 35/123 Pustejovsky - Brandeis Computational Event - - PowerPoint PPT Presentation

A Simple Example 35/123 Pustejovsky - Brandeis Computational Event Models The Final SDRS 36/123 Pustejovsky - Brandeis Computational Event Models Some Lexical Semantics 37/123 Pustejovsky - Brandeis Computational Event Models An Example


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A Simple Example

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The Final SDRS

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Some Lexical Semantics

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An Example of Narrative

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Minimal SDRS

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TimeML: Temporal Ordering of Events

Verhagen (2005), Pustejovsky (2017)

how a temporal closure component can be embedded in a temporal annotation environment. Temporal closure takes known temporal relations in a text and derives new implied relations from them, in effect making explicit what was implicit. A temporal closure component helps to create an annotation that is complete and consistent.

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Temporal Ordering of Events

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Temporal Ordering of Events

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Temporal Ordering of Events

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Temporal Ordering of Events

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Temporal Ordering of Events

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Temporal Ordering of Events

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Temporal Ordering of Events

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Computing Event Ordering

Events in isolation with their subevent structure (individual dynamic event graphs) Ordering over multiple events in text or discourse

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Same Information as a Labeled Transition System Graph

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Making Relation Annotation More Informative

Narrative Container is the default interval containing the events being discussed in the text, when no explicit temporal anchor is given. (1) Put events in temporal containers. (2) Order events relative to temporal anchors. (3) Some temporal containers may be implicit. (4) Temporal containers may be style or genre specific.

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Document Creation Time 1/2

10-26-1989 1 Philip Morris Co., New York, adopted a defense measure designed to make a hostile takeover prohibitively expensive. 2 The giant foods, tobacco and brewing com- pany said it will issue common-share purchase rights to shareholders of record Nov. 8.

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Document Creation Time 1/2

4-10-2011 Local officials reported yesterday that a car exploded in down- town Basra.

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TimeBank Annotation Style

DCT= t1, val=10-04-2011 t2 = yesterday, val=09-04-2011 e1 = report e2 = explode TLINK1 = before(e1,t1) TLINK2 = before(e2,t1) TLINK3 = includes(t2,e1)

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The Missing Temporal Relation

TLINK4 = includes(t2,e2) e2 = explode t2 = yesterday, val=09-04-2011

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Document Creation Time 2/2

9-02-1989 An Orlon spokesman said that the Board rejected Margo’s lat- est takeover bid.

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TimeBank Annotation Style

DCT= t1, val=09-02-1989 e1 = say e2 = reject TLINK1 = before(e1,t1) TLINK2 = before(e2,t1) TLINK3 = before(e2,e1)

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Missing Temporal Relations

Reference to a Default Narrative Container (DNC) t2 = DNC, val=09-02-1989 TLINK4 = includes(t2,e1) TLINK5 = includes(t2,e2) e1 = say e2 = reject

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Narrative Container

Narrative Container is the default interval containing the events being discussed in the text, when no explicit temporal anchor is given. Narrative Time is the current temporal anchor for events in a document, and can change as the reader moves through the narrative. Narrative Scope describes the timespan described in the document, with the left marker defined by the earliest event mentioned, and the right by the event furthest in the future.

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Narrative Container 2/3

April 25, 2010 7:04 p.m. EDT -t0 S1: President Obama paid-e1 tribute Sunday -t1 to 29 work- ers killed-e2 in an explosion -e3 at a West Virginia coal mine earlier this month- t2, saying-e4 they died-e5 “in pursuit of the American dream.” S2: The blast-e6 at the Upper Big Branch Mine was the worst U.S. mine disaster in nearly 40 years.

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Narrative Container 3/3

t2 "earlier this month" t1 "Sunday" e3 explosion e5 "died" e1 "paid" e2 "killed" e4 "saying" t0 DCT e6 "blast" t0 DCT t1 "Sunday" e2 "killed" t2 earlier this month e5 "died" e6 "blast" e1 "paid" e4 "saying" e3 explosion

A B

Figure: A: Times and events as appearing in the text; B: events grouped into their appropriate Narrative Times.

Pustejovsky - Brandeis Computational Event Models