Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Anmol Bhasin"'
Publikováno v:
IJCNN
Automatic Speech Recognizer (ASR) and Natural Language Understanding (NLU) are the two key components for any voice assistant. ASR converts the input audio signal to text using acoustic model (AM), language model (LM) and Decoder. NLU further process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6205e6fcd4437540aaa39f445c02568
https://doi.org/10.1109/ijcnn48605.2020.9206666
https://doi.org/10.1109/ijcnn48605.2020.9206666
Publikováno v:
ICSC
Intent and Slot Identification are two important tasks in Spoken Language Understanding (SLU). For a natural language utterance, there is a high correlation between these two tasks. A lot of work has been done on each of these using Recurrent-Neural-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e109b3d250ab9a5c9ba40a2fc674be0
https://doi.org/10.1109/icsc.2020.00045
https://doi.org/10.1109/icsc.2020.00045
Publikováno v:
Computación y Sistemas. 23
We introduce a novel method for text classification based on gated fusion of n-gram features and semantic features of the text. The parallel CNN network captures the n-gram relation between the words based on the filter size, primarily short distance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62dc6ffe1cbab73d002ab39110d81b44
https://doi.org/10.13053/cys-23-3-3278
https://doi.org/10.13053/cys-23-3-3278
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783030232801
NLDB
NLDB
In Automatic Speech Recognition applications, Natural Language Processing (NLP) has sub-tasks of predicting the Intent and Slots for the utterance spoken by the user. Researchers have done a lot of work in this field using Recurrent-Neural-Networks (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7dcb4f6f32d7cd1eea5efb8d212d002
https://doi.org/10.1007/978-3-030-23281-8_22
https://doi.org/10.1007/978-3-030-23281-8_22
Publikováno v:
2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe4e8aa8b820dee543e697ff443bba19
https://doi.org/10.1109/asonam.2016.7752264
https://doi.org/10.1109/asonam.2016.7752264
Autor:
Anmol Bhasin, Jing Wang, Sihong Xie, Mohammad Shafkat Amin, Clement Yu, Baoshi Yan, Philip S. Yu
Publikováno v:
DSAA
This paper presents a simple and effective framework that can detect irrelevant short text contents following blogs and news articles, etc. in a context-aware and timely fashion. Nowadays, websites such as Linkedin.com and CNN.com allow their visitor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8831a36fa31639ff2909e775d362236a
https://doi.org/10.1109/dsaa.2015.7344831
https://doi.org/10.1109/dsaa.2015.7344831
Publikováno v:
KDD
A/B testing, also known as bucket testing, split testing, or controlled experiment, is a standard way to evaluate user engagement or satisfaction from a new service, feature, or product. It is widely used among online websites, including social netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccf68d81c2127d591b5fbceb4dee9cef
https://doi.org/10.1145/2783258.2788602
https://doi.org/10.1145/2783258.2788602
Autor:
Jieping Ye, Vita G. Markman, Baoshi Yan, Craig Martell, Qian Sun, Anmol Bhasin, Mohammad Shafkat Amin
Publikováno v:
KDD
LinkedIn Groups provide a platform on which professionals with similar background, target and specialities can share content, take part in discussions and establish opinions on industry topics. As in most online social communities, spam content in Li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b897e3cc1c23aad0090904b34f2a5467
https://doi.org/10.1145/2783258.2788575
https://doi.org/10.1145/2783258.2788575
Publikováno v:
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
Personalization is a long-standing problem in data mining and machine learning. Companies make personalized product recommendations to millions of users every second. In addition to the recommendation problem, with the emerging of personal devices, m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3209ae8e73b06b40de01fd0f50454654
https://doi.org/10.1145/2783258.2788626
https://doi.org/10.1145/2783258.2788626
Publikováno v:
WWW
A/B testing, also known as bucket testing, split testing, or controlled experiment, is a standard way to evaluate user engagement or satisfaction from a new service, feature, or product. It is widely used in online websites, including social network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f11831582469b19645e8c550555c0255
https://doi.org/10.1145/2736277.2741081
https://doi.org/10.1145/2736277.2741081