Papers by Farhad Akhbardeh

4 papers
Transfer Learning Methods for Domain Adaptation in Technical Logbook Datasets (2022.lrec-1)

Copied to clipboard

Challenge: Technical logbook data typically has both a domain, the field it comes from, and an application, what it is used for.
Approach: They propose to use domain-specific technical language to identify technical logbook entries by using transfer learning to learn from different domains and from different datasets.
Outcome: The proposed approach improves performance in all cases but one of the three domains studied.
Handling Extreme Class Imbalance in Technical Logbook Datasets (2021.acl-long)

Copied to clipboard

Challenge: Technical logbooks are a challenging and under-explored text type in automated event identification.
Approach: They propose a feedback strategy that resamples the training data based on its error in the prediction process.
Outcome: The proposed approach provides the best results for four different neural network models trained across a suite of technical logbook datasets from distinct technical domains.
NLP Tools for Predictive Maintenance Records in MaintNet (2020.aacl-demo)

Copied to clipboard

Challenge: Maintenance logbooks often contain free text fields with domain specific terms, abbreviations, and non-standard spelling . most standard NLP pipelines for pre-processing and annotation are trained on standard contemporary corpora.
Approach: They propose to create an open-source library and data repository for predictive maintenance language datasets and to evaluate the tools available at MaintNet.
Outcome: The proposed tools improve the performance of existing pipelines and improve the quality of the existing ones.
MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources (2020.coling-demos)

Copied to clipboard

Challenge: Maintenance record logbooks are an emerging text type in NLP. maintenance record logbook data is often written in non-standard language with many domain specific technical terms, abbreviations, and non-standardized spelling and grammar.
Approach: They propose to create a collaborative open-source library of technical and domain-specific language resources for maintenance record logbooks.
Outcome: The proposed library provides tools to aid in their (pre-)processing and clustering.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations