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Martin Fajcik
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Conference and Workshop Papers
- 2023
- [c10]Martin Fajcik, Petr Motlícek, Pavel Smrz:
Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction. ACL (Findings) 2023: 10184-10205 - 2022
- [c9]Sergio Burdisso, Juan Zuluaga-Gomez, Esaú Villatoro-Tello, Martin Fajcik, Muskaan Singh, Pavel Smrz, Petr Motlícek:
IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach. CASE@EMNLP 2022: 61-69 - [c8]Martin Fajcik, Muskaan Singh, Juan Zuluaga-Gomez, Esaú Villatoro-Tello, Sergio Burdisso, Petr Motlícek, Pavel Smrz:
IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model. CASE@EMNLP 2022: 70-78 - 2021
- [c7]Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz:
R2-D2: A Modular Baseline for Open-Domain Question Answering. EMNLP (Findings) 2021: 854-870 - 2020
- [c6]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - [c5]Josef Jon, Martin Fajcik, Martin Docekal, Pavel Smrz:
BUT-FIT at SemEval-2020 Task 4: Multilingual Commonsense. SemEval@COLING 2020: 374-390 - [c4]Martin Fajcik, Josef Jon, Martin Docekal, Pavel Smrz:
BUT-FIT at SemEval-2020 Task 5: Automatic Detection of Counterfactual Statements with Deep Pre-trained Language Representation Models. SemEval@COLING 2020: 437-444 - [c3]Martin Docekal, Martin Fajcik, Josef Jon, Pavel Smrz:
JokeMeter at SemEval-2020 Task 7: Convolutional Humor. SemEval@COLING 2020: 843-851 - 2019
- [c2]Martin Fajcik, Pavel Smrz, Lukás Burget:
BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers. SemEval@NAACL-HLT 2019: 1097-1104 - 2017
- [c1]Martin Fajcik, Pavel Smrz, Marcela Zachariásová:
Automation of Processor Verification Using Recurrent Neural Networks. MTV 2017: 15-20
Informal and Other Publications
- 2024
- [i13]Martin Docekal, Martin Fajcik, Pavel Smrz:
OARelatedWork: A Large-Scale Dataset of Related Work Sections with Full-texts from Open Access Sources. CoRR abs/2405.01930 (2024) - 2022
- [i12]Martin Fajcik, Petr Motlícek, Pavel Smrz:
Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction. CoRR abs/2207.14116 (2022) - [i11]Martin Fajcik, Muskaan Singh, Juan Zuluaga-Gomez, Esaú Villatoro-Tello, Sergio Burdisso, Petr Motlícek, Pavel Smrz:
IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model. CoRR abs/2209.03891 (2022) - [i10]Sergio Burdisso, Juan Zuluaga-Gomez, Esaú Villatoro-Tello, Martin Fajcik, Muskaan Singh, Pavel Smrz, Petr Motlícek:
IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach. CoRR abs/2209.03895 (2022) - 2021
- [i9]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i8]Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz:
Pruning the Index Contents for Memory Efficient Open-Domain QA. CoRR abs/2102.10697 (2021) - [i7]Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz:
R2-D2: A Modular Baseline for Open-Domain Question Answering. CoRR abs/2109.03502 (2021) - 2020
- [i6]Martin Fajcik, Josef Jon, Martin Docekal, Pavel Smrz:
BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models. CoRR abs/2007.14128 (2020) - [i5]Josef Jon, Martin Fajcík, Martin Docekal, Pavel Smrz:
BUT-FIT at SemEval-2020 Task 4: Multilingual commonsense. CoRR abs/2008.07259 (2020) - [i4]Martin Docekal, Martin Fajcik, Josef Jon, Pavel Smrz:
JokeMeter at SemEval-2020 Task 7: Convolutional humor. CoRR abs/2008.11053 (2020) - [i3]Martin Fajcik, Josef Jon, Santosh Kesiraju, Pavel Smrz:
Rethinking the objectives of extractive question answering. CoRR abs/2008.12804 (2020) - 2019
- [i2]Martin Fajcik, Lukás Burget, Pavel Smrz:
BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers. CoRR abs/1902.10126 (2019) - 2018
- [i1]Martin Fajcik, Marcela Zachariásová, Pavel Smrz:
Automation of Processor Verification Using Recurrent Neural Networks. CoRR abs/1803.09810 (2018)
Coauthor Index
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