64 citations · 69 across the 8 of their papers we have counts for
12 papers
CzechTopic: A Benchmark for Zero-Shot Topic Localization in Historical Czech Documents
Martin Kostelník, Michal Hradiš, Martin Dočekal
Topic localization aims to identify spans of text that express a given topic defined by a name and description. To study this task, we introduce a human-annotated benchmark based o…
Interoperable verification and dissemination of software assets in repositories using COAR Notify
Matteo Cancellieri, Martin Docekal, David Pride +3
The discoverability, attribution, and reusability of open research software are often hindered by its obscurity within academic manuscripts. To address this, the SoFAIR project (20…
BiblioPage: A Dataset of Scanned Title Pages for Bibliographic Metadata Extraction
Jan Kohút, Martin Dočekal, Michal Hradiš +1
Manual digitization of bibliographic metadata is time consuming and labor intensive, especially for historical and real-world archives with highly variable formatting across docume…
BenCzechMark : A Czech-centric Multitask and Multimetric Benchmark for Large Language Models with Duel Scoring Mechanism
Martin Fajcik, Martin Docekal, Jan Dolezal +15
We present BenCzechMark (BCM), the first comprehensive Czech language benchmark designed for large language models, offering diverse tasks, multiple task formats, and multiple eval…
OARelatedWork: A Large-Scale Dataset of Related Work Sections with Full-texts from Open Access Sources
Martin Docekal, Martin Fajcik, Pavel Smrz
This paper introduces OARelatedWork: a dataset for related work generation from open-access sources. It is the first large-scale multi-document summarization dataset for related wo…
Query-Based Keyphrase Extraction from Long Documents
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. This paper overcomes this i…
R2-D2: A Modular Baseline for Open-Domain Question Answering
Martin Fajcik, Martin Docekal, Karel Ondrej +1
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, generati…
Pruning the Index Contents for Memory Efficient Open-Domain QA
Martin Fajcik, Martin Docekal, Karel Ondrej +1
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 twic…
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
Sewon Min, Jordan Boyd-Graber, Chris Alberti +50
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…
JokeMeter at SemEval-2020 Task 7: Convolutional humor
Martin Docekal, Martin Fajcik, Josef Jon +1
This paper describes our system that was designed for Humor evaluation within the SemEval-2020 Task 7. The system is based on convolutional neural network architecture. We investig…
BUT-FIT at SemEval-2020 Task 4: Multilingual commonsense
Josef Jon, Martin Fajčík, Martin Dočekal +1
This paper describes work of the BUT-FIT's team at SemEval 2020 Task 4 - Commonsense Validation and Explanation. We participated in all three subtasks. In subtasks A and B, our sub…
BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models
Martin Fajcik, Josef Jon, Martin Docekal +1
This paper describes BUT-FIT's submission at SemEval-2020 Task 5: Modelling Causal Reasoning in Language: Detecting Counterfactuals. The challenge focused on detecting whether a gi…