GAIA at SM-KBP 2019: A multi-media multi-lingual knowledge extraction and hypothesis generation system

Manling Li; Ying Lin; Ananya Subburathinam; Spencer Whitehead; Xiaoman Pan; Di Lu; Qingyun Wang; Tongtao Zhang; Lifu Huang; Heng Ji; Alireza Zareian; Hassan Akbari; Brian Chen; Bo Wu; Emily Allaway; Shih-Fu Chang; Kathleen McKeown; Yixiang Yao; Jennifer Chen; Eric Berquist; Kexuan Sun; Xujun Peng; Ryan Gabbard; Marjorie Freedman; Pedro Szekely; T.K. Satish Kumar; Arka Sadhu; Ram Nevatia; Miguel Rodriguez; Yifan  Wang; Yang Bai; Ali Sadeghian; Daisy Zhe Wang

GAIA at SM-KBP 2019: A multi-media multi-lingual knowledge extraction and hypothesis generation system

Manling Li, Ying Lin, Ananya Subburathinam, Spencer Whitehead, Xiaoman Pan, Di Lu, Qingyun Wang, Tongtao Zhang, Lifu Huang, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Bo Wu, Emily Allaway, Shih-Fu Chang, Kathleen McKeown, Yixiang Yao, Jennifer Chen, Eric BerquistKexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro Szekely, T.K. Satish Kumar, Arka Sadhu, Ram Nevatia, Miguel Rodriguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

In the past year the GAIA team has improved our end-to-end knowledge extraction, grounding, inference, clustering and hypothesis generation system that covers all languages (English, Russian and Ukrainian), data modalities and knowledge element types defined in new AIDA ontologies. We participated in the evaluations of all tasks within TA1, TA2 and TA3 and achieved highly competitive performance. Our TA1 system achieves top performance at both intrinsic evaluation and extrinsic evaluation through TA2 and TA3.

Original language	English
Title of host publication	Proceedings of the Twelfth Text Analysis Conference
Publisher	National Institute of Standards and Technology (NIST)
Pages	1-20
Number of pages	20
Publication status	Published - 13 Nov 2019
Event	Text Analysis Conference 2019 Workshop - National Institute of Standards and Technology, Gaithersburg, United States Duration: 12 Nov 2019 → 13 Nov 2019 https://tac.nist.gov/2019/workshop/index.html

Workshop

Workshop	Text Analysis Conference 2019 Workshop
Abbreviated title	TAC 2019 Workshop
Country/Territory	United States
City	Gaithersburg
Period	12/11/19 → 13/11/19
Internet address	https://tac.nist.gov/2019/workshop/index.html

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Cite this

Li, M., Lin, Y., Subburathinam, A., Whitehead, S., Pan, X., Lu, D., Wang, Q., Zhang, T., Huang, L., Ji, H., Zareian, A., Akbari, H., Chen, B., Wu, B., Allaway, E., Chang, S.-F., McKeown, K., Yao, Y., Chen, J., ... Wang, D. Z. (2019). GAIA at SM-KBP 2019: A multi-media multi-lingual knowledge extraction and hypothesis generation system. In Proceedings of the Twelfth Text Analysis Conference (pp. 1-20). National Institute of Standards and Technology (NIST). https://tac.nist.gov/publications/2019/papers.html

@inproceedings{39b253a394e84e7eaf30ae81e9f88ab5,

title = "GAIA at SM-KBP 2019: A multi-media multi-lingual knowledge extraction and hypothesis generation system",

abstract = "In the past year the GAIA team has improved our end-to-end knowledge extraction, grounding, inference, clustering and hypothesis generation system that covers all languages (English, Russian and Ukrainian), data modalities and knowledge element types defined in new AIDA ontologies. We participated in the evaluations of all tasks within TA1, TA2 and TA3 and achieved highly competitive performance. Our TA1 system achieves top performance at both intrinsic evaluation and extrinsic evaluation through TA2 and TA3.",

author = "Manling Li and Ying Lin and Ananya Subburathinam and Spencer Whitehead and Xiaoman Pan and Di Lu and Qingyun Wang and Tongtao Zhang and Lifu Huang and Heng Ji and Alireza Zareian and Hassan Akbari and Brian Chen and Bo Wu and Emily Allaway and Shih-Fu Chang and Kathleen McKeown and Yixiang Yao and Jennifer Chen and Eric Berquist and Kexuan Sun and Xujun Peng and Ryan Gabbard and Marjorie Freedman and Pedro Szekely and Kumar, {T.K. Satish} and Arka Sadhu and Ram Nevatia and Miguel Rodriguez and Yifan Wang and Yang Bai and Ali Sadeghian and Wang, {Daisy Zhe}",

year = "2019",

month = nov,

day = "13",

language = "English",

pages = "1--20",

booktitle = "Proceedings of the Twelfth Text Analysis Conference",

publisher = "National Institute of Standards and Technology (NIST)",

note = "Text Analysis Conference 2019 Workshop, TAC 2019 Workshop ; Conference date: 12-11-2019 Through 13-11-2019",

url = "https://tac.nist.gov/2019/workshop/index.html",

}

Li, M, Lin, Y, Subburathinam, A, Whitehead, S, Pan, X, Lu, D, Wang, Q, Zhang, T, Huang, L, Ji, H, Zareian, A, Akbari, H, Chen, B, Wu, B, Allaway, E, Chang, S-F, McKeown, K, Yao, Y, Chen, J, Berquist, E, Sun, K, Peng, X, Gabbard, R, Freedman, M, Szekely, P, Kumar, TKS, Sadhu, A, Nevatia, R, Rodriguez, M, Wang, Y, Bai, Y, Sadeghian, A & Wang, DZ 2019, GAIA at SM-KBP 2019: A multi-media multi-lingual knowledge extraction and hypothesis generation system. in Proceedings of the Twelfth Text Analysis Conference. National Institute of Standards and Technology (NIST), pp. 1-20, Text Analysis Conference 2019 Workshop, Gaithersburg, Maryland, United States, 12/11/19. <https://tac.nist.gov/publications/2019/papers.html>

GAIA at SM-KBP 2019: A multi-media multi-lingual knowledge extraction and hypothesis generation system. / Li, Manling; Lin, Ying; Subburathinam, Ananya et al.
Proceedings of the Twelfth Text Analysis Conference. National Institute of Standards and Technology (NIST), 2019. p. 1-20.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - GAIA at SM-KBP 2019

T2 - Text Analysis Conference 2019 Workshop

AU - Li, Manling

AU - Lin, Ying

AU - Subburathinam, Ananya

AU - Whitehead, Spencer

AU - Pan, Xiaoman

AU - Lu, Di

AU - Wang, Qingyun

AU - Zhang, Tongtao

AU - Huang, Lifu

AU - Ji, Heng

AU - Zareian, Alireza

AU - Akbari, Hassan

AU - Chen, Brian

AU - Wu, Bo

AU - Allaway, Emily

AU - Chang, Shih-Fu

AU - McKeown, Kathleen

AU - Yao, Yixiang

AU - Chen, Jennifer

AU - Berquist, Eric

AU - Sun, Kexuan

AU - Peng, Xujun

AU - Gabbard, Ryan

AU - Freedman, Marjorie

AU - Szekely, Pedro

AU - Kumar, T.K. Satish

AU - Sadhu, Arka

AU - Nevatia, Ram

AU - Rodriguez, Miguel

AU - Wang, Yifan

AU - Bai, Yang

AU - Sadeghian, Ali

AU - Wang, Daisy Zhe

PY - 2019/11/13

Y1 - 2019/11/13

N2 - In the past year the GAIA team has improved our end-to-end knowledge extraction, grounding, inference, clustering and hypothesis generation system that covers all languages (English, Russian and Ukrainian), data modalities and knowledge element types defined in new AIDA ontologies. We participated in the evaluations of all tasks within TA1, TA2 and TA3 and achieved highly competitive performance. Our TA1 system achieves top performance at both intrinsic evaluation and extrinsic evaluation through TA2 and TA3.

AB - In the past year the GAIA team has improved our end-to-end knowledge extraction, grounding, inference, clustering and hypothesis generation system that covers all languages (English, Russian and Ukrainian), data modalities and knowledge element types defined in new AIDA ontologies. We participated in the evaluations of all tasks within TA1, TA2 and TA3 and achieved highly competitive performance. Our TA1 system achieves top performance at both intrinsic evaluation and extrinsic evaluation through TA2 and TA3.

M3 - Conference contribution

SP - 1

EP - 20

BT - Proceedings of the Twelfth Text Analysis Conference

PB - National Institute of Standards and Technology (NIST)

Y2 - 12 November 2019 through 13 November 2019

ER -

GAIA at SM-KBP 2019: A multi-media multi-lingual knowledge extraction and hypothesis generation system

Abstract / Description of output

Workshop

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Cite this