Benchmark dataset
KnowledgeNet: A Benchmark Dataset for Knowledge Base Population
... a benchmark dataset for the task of automatically populating a knowledge base (Wikidata) with facts expressed in natural language text on the ...our dataset is challenging. The KnowledgeNet ...
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Benchmark Dataset for Propaganda Detection in Czech Newspaper Texts
... The Propaganda benchmark dataset currently con- tains data from two successive years. The first part is based on two sets of articles from 2016. The newspaper texts were extracted from four newspa- per ...
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“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection
... shown to provide very strong performances on short text classification problems (Wang and Yang, 2015). For Bi-LSTMs and CNNs, we used Ten- sorFlow for the implementation. We used pre- trained 300-dimensional word2vec ...
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A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics
... We describe a novel and unique argumenta- tive structure dataset. This corpus consists of data extracted fro m hundreds of Wikipedia ar- ticles using a meticulously monitored manual annotation process. The result ...
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A Benchmark Dataset for Learning to Intervene in Online Hate Speech
... The Seq2Seq model and VAE model are evalu- ated under two different settings. In one setting, the input for the generative model is the complete conversation, while in the other setting, the input is the filtered ...
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Multi-channel PINN: investigating scalable and transferable neural networks for drug discovery
... standardized benchmark dataset [38] obtained from ChEMBL, using MCC and ROC as evaluation ...the benchmark dataset used above, and then fine- tuned the pretrained models on a test task Tox21 ...
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iACP: a sequence-based tool for identifying anticancer peptides
... independent dataset (see ...“Benchmark Dataset” section, none of the independent data occurs in the dataset used to train the current predictor ...
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Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text
... existing benchmark dataset for procedural text comprehension, ProPara, by adding the new task of explaining actions by predicting their ...The dataset is available at ...
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Impacts of Direct and Indirect Tax Reforms in Vietnam: A CGE Analysis
... a benchmark dataset that provides a consistent pattern in demand and supply by sectors and households in the private sector of the economy, and revenue and expenditure of the government in the public sector ...
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A Review on Intrusion Detection on Wi-Fi Network Using Hybrid Techniquesn
... KDDCUP’99 benchmark dataset and their performance are evaluated in terms of detection rate, root mean square error and computational ...kdd99 dataset is currently available approaches to dealing with ...
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DublinCity: Annotated LiDAR Point Cloud and its Applications
... labelled dataset is ...labelled dataset for a highly dense Aerial Laser Scanning (ALS) point cloud at ...novel benchmark dataset that includes a manually annotated point cloud for over 260 ...
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CRUISE: Cold Start New Skill Development via Iterative Utterance Generation
... both benchmark dataset and custom datasets we collected in real- world settings, we validate the high quality of CRUISE generated utterances via both competitive NLU performance and human ...
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CaRB: A Crowdsourced Benchmark for Open IE
... crowdsourced dataset for evaluation and comparison of Open IE ...this dataset against an expert-annotated dataset and find that it is dramatically more accu- rate than the existing OIE2016 ...
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Combining Discriminant Analysis and Neural Networks for Detection of Internal Defects in Mangoes using X Ray Imaging Technique
... of benchmark dataset availability for horticulture products like ...a dataset of X-ray images for mangoes and then validate the same using Discriminant Function Analysis ...
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L HSAB: A Levantine Twitter Dataset for Hate Speech and Abusive Language
... Twitter dataset with the objective to be a benchmark dataset for auto- matic detection of online Levantine toxic con- ...reliable dataset annotation is ...
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Contextual Inter modal Attention for Multi modal Sentiment Analysis
... Multi-modal sentiment analysis offers various challenges, one being the effective combina- tion of different input modalities, namely text, visual and acoustic. In this paper, we propose a recurrent neural network based ...
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Deep Models for Arabic Dialect Identification on Benchmarked Data
... The dataset was exploited for dialect identification in Zaidan and Callison-Burch (2014) and later in Cotterell and Callison-Burch ...to benchmark the AOC dataset for deep learning ...
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Churn Prediction Using Machine Learning and Recommendations Plans for Telecoms
... two benchmark datasets IBM Watson dataset, which consist of 7033 observations, 21 attributes and cell2cell dataset that contains 71,047 observations and 57 ...IBM dataset and ...
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Using millions of emoji occurrences to learn any domain representations for detecting sentiment, emotion and sarcasm
... There are numerous ways to express a specific sentiment, emotion or sarcastic comment. Conse- quently, the test set may contain specific language use not present in the training set. The pretraining helps the target task ...
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Dynamic benchmark targeting
... some benchmark that has been the best for a long time becomes inferior, then it may take a very long time for the decision maker to adjust the weights towards different ...wrong benchmark for an arbitrarily ...
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