Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Smrz, Pavel"'
This paper introduces OARelatedWork, the first large-scale multi-document summarization dataset for related work generation containing whole related work sections and full-texts of cited papers. The dataset includes 94 450 papers and 5 824 689 unique
Externí odkaz:
http://arxiv.org/abs/2405.01930
This paper presents a novel framework enabling end-users to perform the management of complex robotic workplaces using a tablet and augmented reality. The framework allows users to commission the workplace comprising different types of robots, machin
Externí odkaz:
http://arxiv.org/abs/2306.08464
Autor:
Fajcik, Martin, Singh, Muskaan, Zuluaga-Gomez, Juan, Villatoro-Tello, Esaú, Burdisso, Sergio, Motlicek, Petr, Smrz, Pavel
In this paper, we describe our shared task submissions for Subtask 2 in CASE-2022, Event Causality Identification with Casual News Corpus. The challenge focused on the automatic detection of all cause-effect-signal spans present in the sentence from
Externí odkaz:
http://arxiv.org/abs/2209.03891
Autor:
Burdisso, Sergio, Zuluaga-Gomez, Juan, Villatoro-Tello, Esau, Fajcik, Martin, Singh, Muskaan, Smrz, Pavel, Motlicek, Petr
Publikováno v:
CASE @ EMNLP 2022
In this paper, we describe our participation in the subtask 1 of CASE-2022, Event Causality Identification with Casual News Corpus. We address the Causal Relation Identification (CRI) task by exploiting a set of simple yet complementary techniques fo
Externí odkaz:
http://arxiv.org/abs/2209.03895
Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction
We present Claim-Dissector: a novel latent variable model for fact-checking and analysis, which given a claim and a set of retrieved evidences jointly learns to identify: (i) the relevant evidences to the given claim, (ii) the veracity of the claim.
Externí odkaz:
http://arxiv.org/abs/2207.14116
Autor:
Docekal, Martin, Smrz, Pavel
Publikováno v:
The International FLAIRS Conference Proceedings. 35, (May 2022)
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 issue for keyphrase extraction by chunking the long documents while kee
Externí odkaz:
http://arxiv.org/abs/2205.05391
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
This work demonstrates that using the objective with independence assumption for modelling the span probability $P(a_s,a_e) = P(a_s)P(a_e)$ of span starting at position $a_s$ and ending at position $a_e$ has adverse effects. Therefore we propose mult
Externí odkaz:
http://arxiv.org/abs/2008.12804