Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Pendus, Cezar"'
Autor:
Neelam, Sumit, Sharma, Udit, Karanam, Hima, Ikbal, Shajith, Kapanipathi, Pavan, Abdelaziz, Ibrahim, Mihindukulasooriya, Nandana, Lee, Young-Suk, Srivastava, Santosh, Pendus, Cezar, Dana, Saswati, Garg, Dinesh, Fokoue, Achille, Bhargav, G P Shrivatsa, Khandelwal, Dinesh, Ravishankar, Srinivas, Gurajada, Sairam, Chang, Maria, Uceda-Sosa, Rosario, Roukos, Salim, Gray, Alexander, Lima, Guilherme, Riegel, Ryan, Luus, Francois, Subramaniam, L Venkata
Knowledge Base Question Answering (KBQA) tasks that involve complex reasoning are emerging as an important research direction. However, most existing KBQA datasets focus primarily on generic multi-hop reasoning over explicit facts, largely ignoring o
Externí odkaz:
http://arxiv.org/abs/2201.05793
Autor:
Neelam, Sumit, Sharma, Udit, Karanam, Hima, Ikbal, Shajith, Kapanipathi, Pavan, Abdelaziz, Ibrahim, Mihindukulasooriya, Nandana, Lee, Young-Suk, Srivastava, Santosh, Pendus, Cezar, Dana, Saswati, Garg, Dinesh, Fokoue, Achille, Bhargav, G P Shrivatsa, Khandelwal, Dinesh, Ravishankar, Srinivas, Gurajada, Sairam, Chang, Maria, Uceda-Sosa, Rosario, Roukos, Salim, Gray, Alexander, Riegel, Guilherme LimaRyan, Luus, Francois, Subramaniam, L Venkata
Knowledge Base Question Answering (KBQA) tasks that in-volve complex reasoning are emerging as an important re-search direction. However, most KBQA systems struggle withgeneralizability, particularly on two dimensions: (a) acrossmultiple reasoning ty
Externí odkaz:
http://arxiv.org/abs/2109.13430
Autor:
Castelli, Vittorio, Chakravarti, Rishav, Dana, Saswati, Ferritto, Anthony, Florian, Radu, Franz, Martin, Garg, Dinesh, Khandelwal, Dinesh, McCarley, Scott, McCawley, Mike, Nasr, Mohamed, Pan, Lin, Pendus, Cezar, Pitrelli, John, Pujar, Saurabh, Roukos, Salim, Sakrajda, Andrzej, Sil, Avirup, Uceda-Sosa, Rosario, Ward, Todd, Zhang, Rong
We introduce TechQA, a domain-adaptation question answering dataset for the technical support domain. The TechQA corpus highlights two real-world issues from the automated customer support domain. First, it contains actual questions posed by users on
Externí odkaz:
http://arxiv.org/abs/1911.02984
Autor:
Chakravarti, Rishav, Pendus, Cezar, Sakrajda, Andrzej, Ferritto, Anthony, Pan, Lin, Glass, Michael, Castelli, Vittorio, Murdock, J. William, Florian, Radu, Roukos, Salim, Sil, Avirup
Publikováno v:
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations
This paper introduces a novel orchestration framework, called CFO (COMPUTATION FLOW ORCHESTRATOR), for building, experimenting with, and deploying interactive NLP (Natural Language Processing) and IR (Information Retrieval) systems to production envi
Externí odkaz:
http://arxiv.org/abs/1908.06121
Autor:
Miller, Gerard, Weatherwax, Melissa, Gardinier, Timothy, Abe, Naoki, Melville, Prem, Pendus, Cezar, Jensen, David, Reddy, Chandan K., Thomas, Vince, Bennett, James, Anderson, Gary, Cooley, Brent
Publikováno v:
Interfaces, 2012 Jan 01. 42(1), 74-84.
Externí odkaz:
http://dx.doi.org/10.1287/inte.1110.0618
Autor:
Abe, Naoki, Melville, Prem, Pendus, Cezar, Reddy, Chandan K., Jensen, David L., Thomas, Vince P., Bennett, James J., Anderson, Gary F., Cooley, Brent R., Kowalczyk, Melissa, Domick, Mark, Gardinier, Timothy
Publikováno v:
Proceedings of the 16th ACM SIGKDD International Conference: Knowledge Discovery & Data Mining; 7/25/2010, p75-84, 10p