Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Harish Karnick"'
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
Processing advantages arising from self-association have been documented across various stimuli and paradigms. However, the implications of “self-association” for affective and social behavior have been scarcely investigated. The approach-avoidan
Externí odkaz:
https://doaj.org/article/84fb96ffc3d54903a20aa500cfff38d7
Autor:
Divita Singh, Harish Karnick
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Self-related information is processed with priority, an effect known as the self-prioritization effect (SPE). Recent studies on SPE show enhanced cognitive processing of the newly learned self-association compared to non-self (such as mother, friend,
Externí odkaz:
https://doaj.org/article/050e7758e606443cb4cca3852bc35850
Publikováno v:
AAAI
We present a label embedding based approach to large-scale multi-label learning, drawing inspiration from ideas rooted in distributional semantics, specifically the Skip Gram Negative Sampling (SGNS) approach, widely used to learn word embeddings. Be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65e5f01e97f9db214be3f07ad7c5b9bc
https://doi.org/10.1609/aaai.v33i01.33013747
https://doi.org/10.1609/aaai.v33i01.33013747
Autor:
Divita Singh, Harish Karnick
Publikováno v:
Frontiers in psychology. 13
Self-related information is processed with priority, an effect known as the self-prioritization effect (SPE). Recent studies on SPE show enhanced cognitive processing of the newly learned self-association compared to non-self (such as mother, friend,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e76c8e7dd4333cbeff5a40a2b580a33
https://pubmed.ncbi.nlm.nih.gov/35783811
https://pubmed.ncbi.nlm.nih.gov/35783811
Publikováno v:
ACL (student)
Most earlier work on text summarization is carried out on news article datasets. The summary in these datasets is naturally located at the beginning of the text. Hence, a model can spuriously utilize this correlation for summary generation instead of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6e2247cee088701525fb253fe4d1d45
https://doi.org/10.18653/v1/2021.acl-srw.30
https://doi.org/10.18653/v1/2021.acl-srw.30
Publikováno v:
Multimedia Tools and Applications. 77:8273-8294
This work explores the use of phoneme level information in cohort selection to improve the performance of a speaker verification system. In speaker verification, cohort is used in score normalization to get a better performance. Score normalization i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2df3c08ec35d1fe863aed05d7aed65c5
https://doi.org/10.1007/s11042-017-4723-9
https://doi.org/10.1007/s11042-017-4723-9
Publikováno v:
Knowledge Graphs and Semantic Web ISBN: 9783030653835
KGSWC
KGSWC
Relation classification is a well known task in NLP. It classifies relations that occur between two entities in sentences by assigning a label from a pre-defined set of abstract relation labels. A benchmark data set for this task is the SemEval-2010
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2191b64aa482c7ea33d918d06badb172
https://doi.org/10.1007/978-3-030-65384-2_8
https://doi.org/10.1007/978-3-030-65384-2_8
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811540172
CVIP (2)
CVIP (2)
A raw colored video takes up around three times more memory size than it’s grayscale version. We can exploit this fact and send the grayscale version of a colored video along with a colorization model instead of the colored video to save bandwidth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1046d32a2193c4976e808b3841d5b9ab
https://doi.org/10.1007/978-981-15-4018-9_18
https://doi.org/10.1007/978-981-15-4018-9_18
Publikováno v:
AAAI
We present an attention-based ranking framework for learning to order sentences given a paragraph. Our framework is built on a bidirectional sentence encoder and a self-attention based transformer network to obtain an input order invariant representa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f88cc14ab34413de6c6faa9795d581f0
http://arxiv.org/abs/2001.00056
http://arxiv.org/abs/2001.00056
Publikováno v:
ACL (3)
Automatic abstractive summary generation remains a significant open problem for natural language processing. In this work, we develop a novel pipeline for Semantic Abstractive Summarization (SAS). SAS, as introduced by Liu et. al. (2015) first genera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d0f7f07e71e52d90a5dd7cbd986cba3
https://doi.org/10.18653/v1/p18-3011
https://doi.org/10.18653/v1/p18-3011