Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ondrej, Karel"'
Autor:
Zuluaga-Gomez, Juan, Sarfjoo, Seyyed Saeed, Prasad, Amrutha, Nigmatulina, Iuliia, Motlicek, Petr, Ondrej, Karel, Ohneiser, Oliver, Helmke, Hartmut
Automatic speech recognition (ASR) allows transcribing the communications between air traffic controllers (ATCOs) and aircraft pilots. The transcriptions are used later to extract ATC named entities, e.g., aircraft callsigns. One common challenge is
Externí odkaz:
http://arxiv.org/abs/2110.05781
This work presents a novel four-stage open-domain QA pipeline R2-D2 (Rank twice, reaD twice). The pipeline is composed of a retriever, passage reranker, extractive reader, generative reader and a mechanism that aggregates the final prediction from al
Externí odkaz:
http://arxiv.org/abs/2109.03502
This work presents a novel pipeline that demonstrates what is achievable with a combined effort of state-of-the-art approaches. Specifically, it proposes the novel R2-D2 (Rank twice, reaD twice) pipeline composed of retriever, passage reranker, extra
Externí odkaz:
http://arxiv.org/abs/2102.10697
Autor:
Min, Sewon, Boyd-Graber, Jordan, Alberti, Chris, Chen, Danqi, Choi, Eunsol, Collins, Michael, Guu, Kelvin, Hajishirzi, Hannaneh, Lee, Kenton, Palomaki, Jennimaria, Raffel, Colin, Roberts, Adam, Kwiatkowski, Tom, Lewis, Patrick, Wu, Yuxiang, Küttler, Heinrich, Liu, Linqing, Minervini, Pasquale, Stenetorp, Pontus, Riedel, Sebastian, Yang, Sohee, Seo, Minjoon, Izacard, Gautier, Petroni, Fabio, Hosseini, Lucas, De Cao, Nicola, Grave, Edouard, Yamada, Ikuya, Shimaoka, Sonse, Suzuki, Masatoshi, Miyawaki, Shumpei, Sato, Shun, Takahashi, Ryo, Suzuki, Jun, Fajcik, Martin, Docekal, Martin, Ondrej, Karel, Smrz, Pavel, Cheng, Hao, Shen, Yelong, Liu, Xiaodong, He, Pengcheng, Chen, Weizhu, Gao, Jianfeng, Oguz, Barlas, Chen, Xilun, Karpukhin, Vladimir, Peshterliev, Stan, Okhonko, Dmytro, Schlichtkrull, Michael, Gupta, Sonal, Mehdad, Yashar, Yih, Wen-tau
We review the EfficientQA competition from NeurIPS 2020. The competition focused on open-domain question answering (QA), where systems take natural language questions as input and return natural language answers. The aim of the competition was to bui
Externí odkaz:
http://arxiv.org/abs/2101.00133
Autor:
Min, Sewon, Boyd-Graber, Jordan, Alberti, Chris, Chen, Danqi, Choi, Eunsol, Collins, Michael, Guu, Kelvin, Hajishirzi, Hannaneh, Lee, Kenton, Palomaki, Jennimaria, Raffel, Colin, Roberts, Adam, Kwiatkowski, Tom, Lewis, Patrick, Wu, Yuxiang, Küttler, Heinrich, Liu, Linqing, Minervini, Pasquale, Stenetorp, Pontus, Riedel, Sebastian, Yang, Sohee, Seo, Minjoon, Izacard, Gautier, Petroni, Fabio, Hosseini, Lucas, De Cao, Nicola, Grave, Edouard, Yamada, Ikuya, Shimaoka, Sonse, Suzuki, Masatoshi, Miyawaki, Shumpei, Sato, Shun, Takahashi, Ryo, Suzuki, Jun, Fajcik, Martin, Docekal, Martin, Ondrej, Karel, Smrz, Pavel, Cheng, Hao, Shen, Yelong, Liu, Xiaodong, He, Pengcheng, Chen, Weizhu, Gao, Jianfeng, Oguz, Barlas, Chen, Xilun, Karpukhin, Vladimir, Peshterliev, Stan, Okhonko, Dmytro, Schlichtkrull, Michael, Gupta, Sonal, Mehdad, Yashar, Yih, Wen-tau
We review the EfficientQA competition from NeurIPS 2020. The competition focused on open-domain question answering (QA), where systems take natural language questions as input and return natural language answers. The aim of the competition was to bui
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e309a84ab1c8efe450cd194057ac246
Autor:
Ondřej, Karel
This master thesis deals with the extraction of relationships between named entities in the text. In the theoretical part of the thesis, the issue of natural language representation for machine processing is discussed. Subsequently, two partial tasks
Externí odkaz:
http://www.nusl.cz/ntk/nusl-417247