On the use of external data for spoken named entity recognition
Spoken language understanding (SLU) tasks involve mapping from speech audio signals to
semantic labels. Given the complexity of such tasks, good performance might be expected to …
semantic labels. Given the complexity of such tasks, good performance might be expected to …
End-to-End Spoken Language Understanding: Performance analyses of a voice command task in a low resource setting
Abstract Spoken Language Understanding (SLU) is a core task in most human–machine
interaction systems. With the emergence of smart homes, smart phones and smart speakers …
interaction systems. With the emergence of smart homes, smart phones and smart speakers …
Towards end-to-end spoken intent recognition in smart home
Voice based interaction in a smart home has become a feature of many industrial products.
These systems react to voice commands, whether it is for answering a question, providing …
These systems react to voice commands, whether it is for answering a question, providing …
Audio de-identification: A new entity recognition task
Named Entity Recognition (NER) has been mostly studied in the context of written text.
Specifically, NER is an important step in de-identification (de-ID) of medical records, many of …
Specifically, NER is an important step in de-identification (de-ID) of medical records, many of …
[PDF][PDF] Open-domain name error detection using a multi-task rnn
Out-of-vocabulary name errors in speech recognition create significant problems for
downstream language processing, but the fact that they are rare poses challenges for …
downstream language processing, but the fact that they are rare poses challenges for …
Improving vietnamese named entity recognition from speech using word capitalization and punctuation recovery models
TB Nguyen, QM Nguyen, TTH Nguyen, QT Do… - arXiv preprint arXiv …, 2020 - arxiv.org
Studies on the Named Entity Recognition (NER) task have shown outstanding results that
reach human parity on input texts with correct text formattings, such as with proper …
reach human parity on input texts with correct text formattings, such as with proper …
Named entity recognition
F Béchet - … : systems for extracting semantic information from …, 2011 - Wiley Online Library
This chapter defines the Named Entity Recognition (NER) task and its applicative
frameworks in the context of speech processing, and reviews all the major issues linked to …
frameworks in the context of speech processing, and reviews all the major issues linked to …
SLU for voice command in smart home: comparison of pipeline and end-to-end approaches
Spoken Language Understanding (SLU) is typically performed through automatic speech
recognition (ASR) and natural language understanding (NLU) in a pipeline. However, errors …
recognition (ASR) and natural language understanding (NLU) in a pipeline. However, errors …
May I Ask Who's Calling? Named Entity Recognition on Call Center Transcripts for Privacy Law Compliance
M Kaplan - arXiv preprint arXiv:2010.15598, 2020 - arxiv.org
We investigate using Named Entity Recognition on a new type of user-generated text: a call
center conversation. These conversations combine problems from spontaneous speech with …
center conversation. These conversations combine problems from spontaneous speech with …
[PDF][PDF] OOV sensitive named-entity recognition in speech
Abstract Named Entity Recognition (NER), an information extraction task, is typically applied
to spoken documents by cascading a large vocabulary continuous speech recognizer …
to spoken documents by cascading a large vocabulary continuous speech recognizer …