Learning heterogeneous relation graph and value regularization policy for visual navigation
The goal of visual navigation is steering an agent to find a given target object with current
observation. It is crucial to learn an informative visual representation and robust navigation …
observation. It is crucial to learn an informative visual representation and robust navigation …
What Matters in Hiring Professionals for Global Software Development? A SLR and NLP Criteria Clustering
EA dos Santos, DGB de Souza… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Globalization stimulated a new era of Global Software Development (GSD), followed by the
gig economy (GE) phenomenon, which jointly caused considerable transformations in …
gig economy (GE) phenomenon, which jointly caused considerable transformations in …
Disambiguation of company names via deep recurrent networks
Abstract Name Entity Disambiguation is the Natural Language Processing task of identifying
textual records corresponding to the same Named Entity, ie, real-world entities represented …
textual records corresponding to the same Named Entity, ie, real-world entities represented …
New Benchmark Corpus and Models for Fine-grained Event Classification: To BERT or not to BERT?
J Piskorski, J Haneczok, G Jacquet - Proceedings of the 28th …, 2020 - aclanthology.org
We introduce a new set of benchmark datasets derived from ACLED data for fine-grained
event classification and compare the performance of various state-of-the-art models on …
event classification and compare the performance of various state-of-the-art models on …
Automated extraction of socio-political events from news (AESPEN): Workshop and shared task report
We describe our effort on automated extraction of socio-political events from news in the
scope of a workshop and a shared task we organized at Language Resources and …
scope of a workshop and a shared task we organized at Language Resources and …
Meta-learner for amharic sentiment classification
The emergence of the World Wide Web facilitates the growth of user-generated texts in less-
resourced languages. Sentiment analysis of these texts may serve as a key performance …
resourced languages. Sentiment analysis of these texts may serve as a key performance …
An Entity-Matching System Based on Multimodal Data for Two Major E-Commerce Stores in Mexico
R Estrada-Valenciano, V Muñiz-Sánchez… - Mathematics, 2022 - mdpi.com
E-commerce has grown considerably in Latin America in recent years due to the COVID-19
pandemic. E-commerce users in English-speaking and Chinese-speaking countries have …
pandemic. E-commerce users in English-speaking and Chinese-speaking countries have …
Case 2021 task 2 socio-political fine-grained event classification using fine-tuned roberta document embeddings
S Kent, T Krumbiegel - Proceedings of the 4th workshop on …, 2021 - aclanthology.org
We present our submission to Task 2 of the Socio-political and Crisis Events Detection
Shared Task at the CASE@ ACL-IJCNLP 2021 workshop. The task at hand aims at the fine …
Shared Task at the CASE@ ACL-IJCNLP 2021 workshop. The task at hand aims at the fine …
Framingfreaks at semeval-2023 task 3: Detecting the category and the framing of texts as subword units with traditional machine learning
R Baumann, S Deisenhofer - Proceedings of the 17th International …, 2023 - aclanthology.org
This paper describes our participation as team FramingFreaks in the SemEval-2023 task 3
“Category and Framing Predictions in online news in a multi-lingual setup.” We participated …
“Category and Framing Predictions in online news in a multi-lingual setup.” We participated …
Mining and Visualizing Cost and Schedule Risks from News Articles with NLP and Network Analysis
Cost overruns and schedule delays in US transit projects have been of growing concern for
years. Nevertheless, the data availability and sample size have restricted quantitative …
years. Nevertheless, the data availability and sample size have restricted quantitative …