Papers by Tzvika Hartman

2 papers
A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy (P19-1)

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Challenge: Named-entity recognition (NER) has seen significant progress with the application of Neural Networks to the task.
Approach: They propose to use a given tag hierarchy to jointly learn a neural network that shares its tagging layer among all tag-sets.
Outcome: The proposed model outperforms models that combine independent models and multitasking approaches in a domain adaptation for named-entity recognition task.
Audio De-identification - a New Entity Recognition Task (N19-2)

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Challenge: Named Entity Recognition (NER) is an important step in de-identification (de-ID) of medical records, many of which are recorded conversations between a patient and a doctor.
Approach: They propose to use Named Entity Recognition (NER) to detect audio spans with entity mentions in medical records and then use it to evaluate the results.
Outcome: The proposed pipeline is based on a large labeled segment of the Switchboard and Fisher audio datasets and compares it with a benchmark.

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