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HAVIC MED Novel 1 Test -- Videos, Metadata and Annotation
Li, Xuansong; Strassel, Stephanie; Jones, Karen. - : Linguistic Data Consortium, 2022. : https://www.ldc.upenn.edu, 2022
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2
HAVIC MED Training Data -- Videos, Metadata and Annotation
Morris, Amanda; Strassel, Stephanie; Li, Xuansong. - : Linguistic Data Consortium, 2021. : https://www.ldc.upenn.edu, 2021
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3
IARPA Babel Javanese Language Pack IARPA-babel402b-v1.0b
Bills, Aric; Conners, Thomas; David, Anne. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020
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4
IARPA Babel Dholuo Language Pack IARPA-babel403b-v1.0b
Bills, Aric; Conners, Thomas; Corris, Miriam. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020
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5
IARPA Babel Mongolian Language Pack IARPA-babel401b-v2.0b
Bills, Aric; Conners, Thomas; David, Anne. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020
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6
IARPA Babel Dholuo Language Pack IARPA-babel403b-v1.0b ...
Bills, Aric; Conners, Thomas; Corris, Miriam. - : Linguistic Data Consortium, 2020
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7
IARPA Babel Lithuanian Language Pack IARPA-babel304b-v1.0b
Benowitz, Daniel; Bills, Aric; Conners, Thomas. - : Linguistic Data Consortium, 2019. : https://www.ldc.upenn.edu, 2019
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8
HAVIC MED Progress Test -- Videos, Metadata and Annotation
Morris, Amanda; Strassel, Stephanie; Li, Xuansong. - : Linguistic Data Consortium, 2019. : https://www.ldc.upenn.edu, 2019
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9
IARPA Babel Igbo Language Pack IARPA-babel306b-v2.0c
Adams, Nikki; Bills, Aric; Conners, Thomas. - : Linguistic Data Consortium, 2019. : https://www.ldc.upenn.edu, 2019
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10
IARPA Babel Amharic Language Pack IARPA-babel307b-v1.0b
Bills, Aric; Conners, Thomas; David, Anne. - : Linguistic Data Consortium, 2019. : https://www.ldc.upenn.edu, 2019
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11
IARPA Babel Guarani Language Pack IARPA-babel305b-v1.0c
Andresen, Lucy; Bills, Aric; Brugman, Claudia. - : Linguistic Data Consortium, 2019. : https://www.ldc.upenn.edu, 2019
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12
IARPA Babel Guarani Language Pack IARPA-babel305b-v1.0c ...
Andresen, Lucy; Bills, Aric; Brugman, Claudia. - : Linguistic Data Consortium, 2019
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13
IARPA Babel Amharic Language Pack IARPA-babel307b-v1.0b ...
Bills, Aric; Conners, Thomas; David, Anne. - : Linguistic Data Consortium, 2019
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14
IARPA Babel Igbo Language Pack IARPA-babel306b-v2.0c ...
Adams, Nikki; Bills, Aric; Conners, Thomas. - : Linguistic Data Consortium, 2019
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15
HAVIC MED Progress Test -- Videos, Metadata and Annotation ...
Morris, Amanda; Strassel, Stephanie; Li, Xuansong. - : Linguistic Data Consortium, 2019
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16
IARPA Babel Lithuanian Language Pack IARPA-babel304b-v1.0b ...
Benowitz, Daniel; Bills, Aric; Conners, Thomas. - : Linguistic Data Consortium, 2019
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17
IARPA Babel Telugu Language Pack IARPA-babel303b-v1.0a
Bills, Aric; Conners, Thomas; David, Anne. - : Linguistic Data Consortium, 2018. : https://www.ldc.upenn.edu, 2018
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18
IARPA Babel Tok Pisin Language Pack IARPA-babel207b-v1.0e
Bills, Aric; Conners, Thomas; Corris, Miriam. - : Linguistic Data Consortium, 2018. : https://www.ldc.upenn.edu, 2018
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IARPA Babel Cebuano Language Pack IARPA-babel301b-v2.0b
Andresen, Lucy; Bills, Aric; Conners, Thomas. - : Linguistic Data Consortium, 2018. : https://www.ldc.upenn.edu, 2018
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20
HAVIC MED Event E051-E060 -- Videos, Metadata and Annotation
Morris, Amanda; Strassel, Stephanie; Li, Xuansong; Antonishek, Brian; Fiscus, Jonathan G.. - : Linguistic Data Consortium, 2018. : https://www.ldc.upenn.edu, 2018
Abstract: *Introduction* HAVIC MED Event E051-E060 -- Videos, Metadata and Annotation was developed by the Linguistic Data Consortium (LDC) and is comprised of approximately 53 hours of user-generated videos with annotation and metadata. To advance multimodal event detection and related technologies, LDC developed, in collaboration with NIST (the National Institute of Standards and Technology), a large, heterogeneous, annotated multimodal corpus for HAVIC (the Heterogeneous Audio Visual Internet Collection) that was used in the NIST-sponsored MED (Multimedia Event Detection) task for several years. HAVIC MED Event E051-E060 is a subset of that corpus, specifically, a collection of event videos for the HAVIC Project originally released to support the 2016 Multimedia Event Detection task. *Data* The data consists of videos of various events (event videos) and videos completely unrelated to events (background videos) harvested by a large team of human annotators. Each event video was manually annotated with a set of judgments describing its event properties and other salient features. Background videos were labeled with topic and genre categories. All video files are in .mp4 format (h.264), with varying bit-rates and levels of audio fidelity and video resolution. Metadata and annotation for the videos are stored in a .tsv file. *Samples* Please view this video sample and annotation sample. *Updates* None at this time.
URL: https://catalog.ldc.upenn.edu/LDC2018V01
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