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Papers/Adversarial Alignment of Multilingual Models for Extractin...

Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text

Lukas Lange, Anastasiia Iurshina, Heike Adel, Jannik Strötgen

2020-05-19WS 2020 7Temporal TaggingCross-Lingual Transfer
PaperPDF

Abstract

Although temporal tagging is still dominated by rule-based systems, there have been recent attempts at neural temporal taggers. However, all of them focus on monolingual settings. In this paper, we explore multilingual methods for the extraction of temporal expressions from text and investigate adversarial training for aligning embedding spaces to one common space. With this, we create a single multilingual model that can also be transferred to unseen languages and set the new state of the art in those cross-lingual transfer experiments.

Results

TaskDatasetMetricValueModel
Information ExtractionCatalan TimeBank 1.0F164.21Lange et al.
Information ExtractionTimeBankPTF175.47Lange et al.
Information ExtractionBasque TimeBankF147.87Lange et al.
Information ExtractionFrench TimebankF162.58Lange et al.
Information ExtractionTempEval-3F174.8Lange et al.
Information ExtractionSpanish TimeBank 1.0F179.55Lange et al.
Information ExtractionKRAUTSF166.53Lange et al.
Temporal ProcessingCatalan TimeBank 1.0F164.21Lange et al.
Temporal ProcessingTimeBankPTF175.47Lange et al.
Temporal ProcessingBasque TimeBankF147.87Lange et al.
Temporal ProcessingFrench TimebankF162.58Lange et al.
Temporal ProcessingTempEval-3F174.8Lange et al.
Temporal ProcessingSpanish TimeBank 1.0F179.55Lange et al.
Temporal ProcessingKRAUTSF166.53Lange et al.
Temporal Information ExtractionCatalan TimeBank 1.0F164.21Lange et al.
Temporal Information ExtractionTimeBankPTF175.47Lange et al.
Temporal Information ExtractionBasque TimeBankF147.87Lange et al.
Temporal Information ExtractionFrench TimebankF162.58Lange et al.
Temporal Information ExtractionTempEval-3F174.8Lange et al.
Temporal Information ExtractionSpanish TimeBank 1.0F179.55Lange et al.
Temporal Information ExtractionKRAUTSF166.53Lange et al.

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