The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Semantic role labeling (SRL) is a task to assign semantic role labels to sentence elements. This paper describes the initial development of an Indonesian semantic role labeling system and its application to extract event information from Tweets. We compare two feature types when designing the SRL systems: Word-to-Word and Phrase-to-Phrase. Our experiments showed that the Word-to-Word feature approach...
This paper presents the IALP 2016 shared task on Dimensional Sentiment Analysis for Chinese Words (DSAW) which seeks to identify a real-value sentiment score of Chinese words in the both valence and arousal dimensions. Valence represents the degree of pleasant and unpleasant (or positive and negative) feelings, and arousal represents the degree of excitement and calm. Of the 22 teams registered for...
Sentiment analysis is an important task in natural language processing and computational linguistics. Automatic sentiment analysis has been widely applied to opinion reviews and social media for a variety of applications, such as marketing and customer services. The dimensional approach can provide more fine-grained sentiment analysis in which each vocabulary is assigned two continuous numerical values...
This paper is mainly about the BIT group submitted system to the IALP-2016 Shared Task. This system is to automatically acquire the valence-arousal ratings of Chinese affective words. Two ways are designed to generate a given word's VA: one is based on Synonym Lexicons and the other is based on Word Embeddings. For the first way, we extend the annotated set based on synonym lexicon to improve coverage...
The word-level sentiment analysis is an essential issue in opinion mining. One challenge in this field is that not so many lexical items as expected have been labeled with sentimental opinions, especially in Chinese. There are two ways of rating words: one is manual marking which costs lots of resources, energy and time; the other is machine marking which is efficient, convenient and time-saving....
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.