Коэффициент Корреляции

. Japanese books are usually classified into ten genres by Nippon Decimal Classification (NDC) based on their subject. However, this classification is sometimes insufficient for corpus studies which describe characteristics …...

Open-class semantic lexicon induction is of great interest for current knowledge harvest- ing algorithms. We propose a general frame- work that uses patterns in bootstrapping fash- ion to learn open-class …...

We present a novel computational formula- tion of speaker authority in discourse. This notion, which focuses on how speakers posi- tion themselves relative to each other in dis- course, is …...

A machine learning mechanism is learned from human annotations in order to perform preference ranking. The mechanism operates on a sentence level and ranks the alternative machine translations of each …...

In this paper, we conducted semantic trans- parency rating experiments using both the traditional laboratory-based method and the crowdsourcing-based method. Then we com- pared the rating data obtained from these …...

AbstractIn this paper we address a new problem of predicting affect and well-being scales in a real-world setting of heterogeneous, longitudinal and non-synchronous textual as well as non-linguistic data that …...

AbstractDespite the recent success of distributional semantic models (DSMs) in various semantic tasks they remain disconnected with real-world perceptual cues since they typically rely on linguistic features. Text data constitute …...

AbstractThe intrinsic and extrinsic quality evaluation is an essential part of the summary evaluation methodology usually conducted in a traditional controlled laboratory environment. However, processing large text corpora using these …...

AbstractWe use the MacBERT transformers and fine-tune them to ROCLING-2021 shared tasks using the CVAT and CVAS data. We compare the performance of MacBERT with the other two transformers BERT …...

AbstractThis paper presents the NICT Kyoto submission for the WMT’21 Quality Estimation (QE) Critical Error Detection shared task (Task 3). Our approach relies mainly on QE model pretraining for which …...

AbstractThe automatic evaluation of open-domain dialogues remains a largely unsolved challenge. Despite the abundance of work done in the field, human judges have to evaluate dialogues’ quality. As a consequence, …...