User Generated Content

This paper studies sentiment analysis from the user-generated content on the Web. In particular, it focuses on mining opinions from comparative sentences, i.e., to determine which entities in a compari- …...

AbstractTextual entailment has been recognized as a generic task that captures major semantic inference needs across many natural language processing applications. However, to date, textual entailment has not been considered …...

This paper presents a framework for au- tomatically processing information com- ing from community Question Answering (cQA) portals with the purpose of gen- erating a trustful, complete, relevant and succinct …...

AbstractIn order to extract meaningful phrases from corpora (e. g. in an information retrieval context) intensive knowledge of the domain in question and the respective documents is generally needed. When …...

This paper presents the results of an ex- perimental pilot user study, focusing on the evaluation of machine-translated us- er-generated content by users of an on- line community forum and …...

In recent years, statistical parsers have reached high performance levels on well-edited texts. Domain adaptation techniques have improved parsing results on text genres differing from the journalistic data most parsers …...

AbstractWe present the WeSearch Data Collection (WDC)―a freely redistributable, partly annotated, comprehensive sample of User-Generated Content. The WDC contains data extracted from a range of genres of varying formality (user …...

This paper describes a phrase-based ma- chine translation approach to normalize Dutch user-generated content (UGC). We compiled a corpus of three different so- cial media genres (text messages, message board …...

This paper investigates the problem of automated text aesthetics prediction. The avail- ability of user generated content and ratings, e.g. Flickr, has induced research in aesthet- ics prediction for non-text …...

AbstractWe present the NewSoMe (News and Social Media) Corpus, a set of subcorpora with annotations on opinion expressions across genres (news reports, blogs, product reviews and tweets) and covering multiple …...

Existing timeline generation systems for com- plex events consider only information from traditional media, ignoring the rich social con- text provided by user-generated content that reveals representative public interests or …...

AbstractSentiment classification becomes more and more important with the rapid growth of user generated content. However, sentiment classification task usually comes with two challenges: first, sentiment classification is highly domain-dependent …...

AbstractThe vast amount of social communication distributed over various electronic media channels (tweets, blogs, emails, etc.), so-called user-generated content (UGC), creates entirely new opportunities for today’s NLP research. Yet, data …...

AbstractFrom the perspective of health psychology, human beings with long-term and sustained negativity are highly possible to be diagnosed with depression. Inspired by this, we argue that the global topic …...

AbstractPredicting users’ opinions in their response to social events has important real-world applications, many of which political and social impacts. Existing approaches derive a population’s opinion on a going event …...

AbstractNot all machine mistranslations are equal. For example, mistranslating a date or time in an appointment, mistranslating the number or currency in a contract, or hallucinating profanity may lead to …...

AbstractThis paper presents QUARTZ, QUality-AwaRe machine Translation, a project led by Unbabel which aims at developing machine translation systems that are more robust and produce fewer critical errors. With QUARTZ …...

AbstractModern Irish is a minority language lacking sufficient computational resources for the task of accurate automatic syntactic parsing of user-generated content such as tweets. Although language technology for the Irish …...