5 citations · 5 across the 2 of their papers we have counts for
7 papers
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…