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Found 4 papers, 1 papers with code
Combining Representations For Effective Citation Classification
Classifying the context of an article citation or its influence/importance in an automated way presents a challenge for machine learning algorithms due to the shortage of information and inherently ambiguity of the task.
Evaluating Recognizing Question Entailment Methods for a Portuguese Community Question-Answering System about Diabetes Mellitus
This study describes the development of a Portuguese Community-Question Answering benchmark in the domain of Diabetes Mellitus using a Recognizing Question Entailment (RQE) approach.
TPDR: A Novel Two-Step Transformer-based Product and Class Description Match and Retrieval Method
In this paper, we propose TPDR, a two-step Transformer-based Product and Class Description Retrieval method that is able to explore the semantic correspondence between IS and SD, by exploiting attention mechanisms and contrastive learning.
SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods
In the last few years thousands of scientific papers have investigated sentiment analysis, several startups that measure opinions on real data have emerged and a number of innovative products related to this theme have been developed.
