OARelatedWork: A Large-Scale Dataset of Related Work Sections with Full-texts from Open Access Sources

no code implementations • 3 May 2024 • Martin Docekal, Martin Fajcik, Pavel Smrz

We show that the estimated upper bound for extractive summarization increases by 217% in the ROUGE-2 score, when using full content instead of abstracts.

Document Summarization Extractive Summarization +1

Query-Based Keyphrase Extraction from Long Documents

1 code implementation • 11 May 2022 • Martin Docekal, Pavel Smrz

Transformer-based architectures in natural language processing force input size limits that can be problematic when long documents need to be processed.

Chunking Keyphrase Extraction

R2-D2: A Modular Baseline for Open-Domain Question Answering

1 code implementation • Findings (EMNLP) 2021 • Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz

This work presents a novel four-stage open-domain QA pipeline R2-D2 (Rank twice, reaD twice).

Open-Domain Question Answering Passage Retrieval +1

Pruning the Index Contents for Memory Efficient Open-Domain QA

2 code implementations • 21 Feb 2021 • Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz

This work presents a novel pipeline that demonstrates what is achievable with a combined effort of state-of-the-art approaches.

Open-Domain Question Answering

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned

no code implementations • 1 Jan 2021 • Sewon Min, Jordan 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 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 Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih

We review the EfficientQA competition from NeurIPS 2020.

Open-Domain Question Answering Retrieval

JokeMeter at SemEval-2020 Task 7: Convolutional humor

no code implementations • SEMEVAL 2020 • Martin Docekal, Martin Fajcik, Josef Jon, Pavel Smrz

This paper describes our system that was designed for Humor evaluation within the SemEval-2020 Task 7.

BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models

1 code implementation • SEMEVAL 2020 • Martin Fajcik, Josef Jon, Martin Docekal, Pavel Smrz

This paper describes BUT-FIT's submission at SemEval-2020 Task 5: Modelling Causal Reasoning in Language: Detecting Counterfactuals.

counterfactual