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Found 9 papers, 0 papers with code
A Comparison of LSTM and BERT for Small Corpus
Recent advancements in the NLP field showed that transfer learning helps with achieving state-of-the-art results for new tasks by tuning pre-trained models instead of starting from scratch.
ParkingSticker: A Real-World Object Detection Dataset
We present a new and challenging object detection dataset, ParkingSticker, which mimics the type of data available in industry problems more closely than popular existing datasets like PASCAL VOC.
The Effect of Data Ordering in Image Classification
We hypothesize that the data ordering affects how well a model performs.
Hybrid RNN at SemEval-2019 Task 9: Blending Information Sources for Domain-Independent Suggestion Mining
Social media has an increasing amount of information that both customers and companies can benefit from.
Multilingual Sentiment Analysis: An RNN-Based Framework for Limited Data
Our goal is to build a single model in the language with the largest dataset available for the task, and reuse it for languages that have limited resources.
RNN for Affects at SemEval-2018 Task 1: Formulating Affect Identification as a Binary Classification Problem
In this paper, we present an approach that utilizes multiple binary classifiers that represent different affective categories to model Twitter posts (e. g., tweets).
