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Found 10 papers, 0 papers with code
Relation Extraction Using Multiple Pre-Training Models in Biomedical Domain
In addition, our method shows approximately three times faster extraction speed than the BERT-based models on the ChemProt corpus and reduces the memory size to one sixth of the BERT ones.
Discussion Structure Prediction Based on a Two-step Method
Our purpose in this paper is to predict a link structure between nodes that consist of utterances in a conversation: classification of each node pair into “linked” or “not-linked.” One approach to predict the structure is to utilize machine learning models.
Tell Me What You Read: Automatic Expertise-Based Annotator Assignment for Text Annotation in Expert Domains
To address the issue, we propose a method to estimate the domain expertise of each annotator before the annotation process using information easily available from the annotators beforehand.
Share What You Already Know: Cross-Language-Script Transfer and Alignment for Sentiment Detection in Code-Mixed Data
However, using the native script for each language can generate better representations of the text owing to the pre-trained knowledge.
LCP-dropout: Compression-based Multiple Subword Segmentation for Neural Machine Translation
In this study, we propose a simple and effective preprocessing method for subword segmentation based on a data compression algorithm.
The Kyutech corpus and topic segmentation using a combined method
As a case study for the corpus, we describe a method combined with LCSeg and TopicTiling for a topic segmentation task.
