Literature DB >> 29104970

A synchronous context free grammar for time normalization.

Steven Bethard1.   

Abstract

We present an approach to time normalization (e.g. the day before yesterday⇒2013-04-12) based on a synchronous context free grammar. Synchronous rules map the source language to formally defined operators for manipulating times (FindEnclosed, StartAtEndOf, etc.). Time expressions are then parsed using an extended CYK+ algorithm, and converted to a normalized form by applying the operators recursively. For evaluation, a small set of synchronous rules for English time expressions were developed. Our model outperforms HeidelTime, the best time normalization system in TempEval 2013, on four different time normalization corpora.

Entities:  

Year:  2013        PMID: 29104970      PMCID: PMC5667674     

Source DB:  PubMed          Journal:  Proc Conf Empir Methods Nat Lang Process


  2 in total

1.  From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time Normalizations.

Authors:  Egoitz Laparra; Dongfang Xu; Steven Bethard
Journal:  Trans Assoc Comput Linguist       Date:  2018

2.  Temporal information extraction from mental health records to identify duration of untreated psychosis.

Authors:  Natalia Viani; Joyce Kam; Lucia Yin; André Bittar; Rina Dutta; Rashmi Patel; Robert Stewart; Sumithra Velupillai
Journal:  J Biomed Semantics       Date:  2020-03-10
  2 in total

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