Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Datla, Vivek"'
Autor:
Chen, Zheng, Hasan, Sadid A., Liu, Joey, Datla, Vivek, Shamsuzzaman, Md, Khan, Hafiz, Sorower, Mohammad S, Mankovich, Gabe, van Ommering, Rob, Dimitrova, Nevenka
This paper presents an ontology-driven treatment article retrieval system developed and experimented using the data and ground truths provided by the TREC 2017 precision medicine track. The key aspects of our system include: meaningful integration of
Externí odkaz:
http://arxiv.org/abs/2002.05653
Autor:
Ghaeini, Reza, Hasan, Sadid A., Datla, Vivek, Liu, Joey, Lee, Kathy, Qadir, Ashequl, Ling, Yuan, Prakash, Aaditya, Fern, Xiaoli Z., Farri, Oladimeji
Publikováno v:
NAACL 2018
We present a novel deep learning architecture to address the natural language inference (NLI) task. Existing approaches mostly rely on simple reading mechanisms for independent encoding of the premise and hypothesis. Instead, we propose a novel depen
Externí odkaz:
http://arxiv.org/abs/1802.05577
Autor:
Prakash, Aaditya, Zhao, Siyuan, Hasan, Sadid A., Datla, Vivek, Lee, Kathy, Qadir, Ashequl, Liu, Joey, Farri, Oladimeji
Diagnosis of a clinical condition is a challenging task, which often requires significant medical investigation. Previous work related to diagnostic inferencing problems mostly consider multivariate observational data (e.g. physiological signals, lab
Externí odkaz:
http://arxiv.org/abs/1612.01848
Autor:
Prakash, Aaditya, Hasan, Sadid A., Lee, Kathy, Datla, Vivek, Qadir, Ashequl, Liu, Joey, Farri, Oladimeji
In this paper, we propose a novel neural approach for paraphrase generation. Conventional para- phrase generation methods either leverage hand-written rules and thesauri-based alignments, or use statistical machine learning principles. To the best of
Externí odkaz:
http://arxiv.org/abs/1610.03098
Semantic roles play an important role in extracting knowledge from text. Current unsupervised approaches utilize features from grammar structures, to induce semantic roles. The dependence on these grammars, however, makes it difficult to adapt to noi
Externí odkaz:
http://arxiv.org/abs/1606.06274
Autor:
Datla, Vivek, Vishnu, Abhinav
The music industry is a $130 billion industry. Predicting whether a song catches the pulse of the audience impacts the industry. In this paper we analyze language inside the lyrics of the songs using several computational linguistic algorithms and pr
Externí odkaz:
http://arxiv.org/abs/1512.01283
Autor:
Ionescu, Bogdan, Müller, Henning, Peteri, Renaud, Dang Nguyen, Duc Tien, Piras, Luca, Riegler, Michael, Tran, Minh Triet, Lux, Mathias, Gurrin, Cathal, Cid, Yashin Dicente, Liauchuk, Vitali, Kovalev, Vassili, Ben Abacha, Asma, Hasan, Sadid A., Datla, Vivek, Liu, Joey, Demner-Fushman, Dina, Pelka, Obioma, Friedrich, C., Chamberlain, Jon, Clark, Adrian, de Herrera, Alba Garcia Seco, Garcia, Narciso, Kavallieratou, Ergina, del Blanco, Carlos Roberto, Rodriguez, Carlos Cuevas, Vasillopoulos, Nikos, Karampidis, Konstantinos
Externí odkaz:
http://hdl.handle.net/1956/23300
Autor:
Ionescu, Bogdan, Müller, Henning, Péteri, Renaud, Abacha, Asma Ben, Datla, Vivek, Hasan, Sadid A., Demner-Fushman, Dina, Kozlovski, Serge, Liauchuk, Vitali, Cid, Yashin Dicente, Kovalev, Vassili, Pelka, Obioma, Friedrich, Christoph M., García Seco de Herrera, Alba, Ninh, Van-Tu, Le, Tu-Khiem, Zhou, Liting, Piras, Luca, Riegler, Michael, Halvorsen, Pål, Tran, Minh-Triet, Lux, Mathias, Gurrin, Cathal, Dang Nguyen, Duc Tien, Chamberlain, Jon, Clark, Adrian, Campello, Antonio, Fichou, Dimitri, Berari, Raul, Brie, Paul, Dogariu, Mihai, Ştefan, Liviu Daniel, Constantin, Mihai Gabriel
Publikováno v:
Ionescu, Bogdan Müller, Henning Péteri, Renaud Abacha, Asma Ben Datla, Vivek Hasan, Sadid A. Demner-Fushman, Dina Kozlovski, Serge Liauchuk, Vitali Cid, Yashin Dicente Kovalev, Vassili Pelka, Obioma Friedrich, Christoph M. García Seco de Herrera, Alba Ninh, Van-Tu Le, Tu-Khiem Zhou, Liting Piras, Luca Riegler, Michael Halvorsen, Pål Tran, Minh-Triet Lux, Mathias Gurrin, Cathal Dang Nguyen, Duc Tien Chamberlain, Jon Clark, Adrian Campello, Antonio Fichou, Dimitri Berari, Raul Brie, Paul Dogariu, Mihai Ştefan, Liviu Daniel Constantin, Mihai Gabriel . Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications. Lecture Notes in Computer Science (LNCS). 2020, 12260, 311-341
Lecture Notes in Computer Science (LNCS)
Lecture Notes in Computer Science (LNCS)
Externí odkaz:
http://hdl.handle.net/10852/83008
https://www.duo.uio.no/bitstream/handle/10852/83008/2/ImageCLEF_2020_overview%2B%25281%2529.pdf
https://www.duo.uio.no/bitstream/handle/10852/83008/2/ImageCLEF_2020_overview%2B%25281%2529.pdf
Autor:
Ionescu, Bogdan, Müller, Henning, Péteri, Renaud, Cid, Yashin Dicente, Liauchuk, Vitali, Kovalev, Vassili, Klimuk, Dzmitri, Tarasau, Aleh, Abacha, Asma Ben, Hasan, Sadid A., Datla, Vivek, Liu, Joey, Demner-Fushman, Dina, Dang Nguyen, Duc Tien, Piras, Luca, Riegler, Michael, Tran, Minh-Triet, Lux, Mathias, Gurrin, Cathal, Pelka, Obioma, Friedrich, Christoph M., Garcia Seco de Herrera, Alba, Garcia, Narciso, Kavallieratou, Ergina, del Blanco, Carlos Roberto, Cuevas, Carlos, Vasillopoulos, Nikos, Karampidis, Konstantinos, Chamberlain, Jon, Clark, Adrian, Campello, Antonio
Externí odkaz:
https://hdl.handle.net/11250/3027216