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Nima Nabizadeh

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2020 – today

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2024
[b1]
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Nima Nabizadeh:
Extracting and modelling sequential information from procedural task instructions. Technical University of Berlin, Germany, 2024
2021
[c6]
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  - conf/tsd/NabizadehWK21
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Nima Nabizadeh, Heiko Wersing, Dorothea Kolossa:
Leveraging Inter-step Dependencies for Information Extraction from Procedural Task Instructions. TDS 2021: 341-353
2020
[c5]
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Nima Nabizadeh, Dorothea Kolossa, Martin Heckmann:
MyFixit: An Annotated Dataset, Annotation Tool, and Baseline Methods for Information Extraction from Repair Manuals. LREC 2020: 2120-2128
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Nima Nabizadeh, Martin Heckmann, Dorothea Kolossa:
Target-Aware Prediction of Tool Usage in Sequential Repair Tasks. LOD (2) 2020: 156-168
[c3]
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Nima Nabizadeh, Martin Heckmann, Dorothea Kolossa:
Hierarchy-aware Learning of Sequential Tool Usage via Semi-automatically Constructed Taxonomies. MWE-LEX 2020: 22-26

2010 – 2019

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2019
[c2]
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  - conf/sigdial/KleingarnNHK19
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Diana Kleingarn, Nima Nabizadeh, Martin Heckmann, Dorothea Kolossa:
Speaker-adapted neural-network-based fusion for multimodal reference resolution. SIGdial 2019: 210-214
2018
[c1]
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Nima Nabizadeh, Mittul Singh, Dietrich Klakow:
Outperforming Neural Readers Using Broad-Context Discriminative Language Modeling on the LAMBADA Word Prediction Task. KONVENS 2018: 172-177

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