@inproceedings{kaplan-2020-may,
title = "May {I} Ask Who{'}s Calling? Named Entity Recognition on Call Center Transcripts for Privacy Law Compliance",
author = "Kaplan, Micaela",
editor = "Xu, Wei and
Ritter, Alan and
Baldwin, Tim and
Rahimi, Afshin",
booktitle = "Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.wnut-1.1",
doi = "10.18653/v1/2020.wnut-1.1",
pages = "1--6",
abstract = "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 problems novel to conversational Automated Speech Recognition, including incorrect recognition, alongside other common problems from noisy user-generated text. Using our own corpus with new annotations, training custom contextual string embeddings, and applying a BiLSTM-CRF, we match state-of- the-art results on our novel task.",
}
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%0 Conference Proceedings
%T May I Ask Who’s Calling? Named Entity Recognition on Call Center Transcripts for Privacy Law Compliance
%A Kaplan, Micaela
%Y Xu, Wei
%Y Ritter, Alan
%Y Baldwin, Tim
%Y Rahimi, Afshin
%S Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F kaplan-2020-may
%X 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 problems novel to conversational Automated Speech Recognition, including incorrect recognition, alongside other common problems from noisy user-generated text. Using our own corpus with new annotations, training custom contextual string embeddings, and applying a BiLSTM-CRF, we match state-of- the-art results on our novel task.
%R 10.18653/v1/2020.wnut-1.1
%U https://aclanthology.org/2020.wnut-1.1
%U https://doi.org/10.18653/v1/2020.wnut-1.1
%P 1-6
Markdown (Informal)
[May I Ask Who’s Calling? Named Entity Recognition on Call Center Transcripts for Privacy Law Compliance](https://aclanthology.org/2020.wnut-1.1) (Kaplan, WNUT 2020)
ACL