Жартылай қадағаланатын әдіс

Opinion mining is a recent subdiscipline of computational linguistics which is con- cerned not with the topic a document is about, but with the opinion it expresses. To aid the …...

Supervised approaches to Word Sense Dis- ambiguation (WSD) have been shown to outperform other approaches but are ham- pered by reliance on labeled training ex- amples (the data acquisition bottleneck). …...

We present a simple and effective semi- supervised method for training dependency parsers. We focus on the problem of lex- ical representation, introducing features that incorporate word clusters derived from …...

In this paper, we present a semi-supervised method for automatic speech act recogni- tion in email and forums. The major chal- lenge of this task is due to lack of …...

Several recent discourse parsers have em- ployed fully-supervised machine learning ap- proaches. These methods require human an- notators to beforehand create an extensive training corpus, which is a time-consuming and …...

AbstractIn this paper we explain how we created a labelled corpus in English for a Named Entity Recognition (NER) task from multi-source and multi-domain data, for an industrial partner. We …...

This paper describes the NUIG-UNLP sys- tem submitted to SemEval-2016, Task 13. We implement a semi-supervised method that ex- tracts hypernym candidates for the terms pro- vided in the test …...

In this work, we propose a semi- supervised method for short text clus- tering, where we represent texts as dis- tributed vectors with neural networks, and use a small amount …...

Syndromic Surveillance has been per- formed using machine learning and other statistical methods to detect disease out- breaks. These methods are largely depen- dent on the availability of historical data …...

AbstractMost work on part-of-speech (POS) tagging is focused on high resource languages, or examines low-resource and active learning settings through simulated studies. We evaluate POS tagging techniques on an actual …...

AbstractAn abundance of electronic health records (EHR) is produced every day within healthcare. The records possess valuable information for research and future improvement of healthcare. Multiple efforts have been done …...

AbstractAcquisition of multilingual training data continues to be a challenge in word sense disambiguation (WSD). To address this problem, unsupervised approaches have been proposed to automatically generate sense annotations for …...