Supervised Classifier

Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natu- ral language processing. All graph-based algorithms rely on a graph that jointly rep- resents …...

We present an automatic method for sense- labeling of text in an unsupervised manner. The method makes use of distributionally similar words to derive an automatically labeled training set, which …...

We propose a novel unsupervised approach for distinguishing literal and non-literal use of idiomatic expressions. Our model com- bines an unsupervised and a supervised classifier. The former bases its decision …...

We supplement WordNet entries with infor- mation on the subjectivity of its word senses. Supervised classifiers that operate on word sense definitions in the same way that text classifiers operate …...

Informal and formal (“T/V”) address in dia- logue is not distinguished overtly in mod- ern English, e.g. by pronoun choice like in many other languages such as French (“tu”/“vous”). Our …...

Unsupervised selection of semantic relations for improving a distributional thesaurus Work about distributional thesauri has shown that the relations in these thesauri are mainly reliable for high frequency words. In …...

We present two systems developed at the Uni- versity of Ottawa for the SemEval 2013 Task 2. The first system (for Task A) classifies the po- larity / sentiment orientation …...

Definiteness expresses a constellation of semantic, pragmatic, and discourse properties—the communicative functions—of an NP. We present a supervised classifier for English NPs that uses lexical, morphological, and syntactic features to …...

. Information Extraction systems must cope with two problems : they heavily depend on the considered domain but the cost of development for a domain-specific system is important. We propose …...

AbstractIn news stories, event mentions denote real-world events of different spatial and temporal granularity. Narratives in news stories typically describe some real-world event of coarse spatial and temporal granularity along …...

This paper proposes an approach to solve message- and phrase-level polarity classi- fication in Twitter, derived from an exist- ing system designed for Spanish. As a first step, an ad-hoc …...

Word Sense Disambiguation has been stuck for many years. In this paper we explore the use of large-scale crowdsourcing to cluster senses that are often confused by non-expert annotators. We …...

This research describes the development of a supervised classifier of English Caused Mo- tion Constructions (CMCs) (e.g. The goalie kicked the ball into the field). Consistent iden- tification of CMCs …...

We propose a novel method for acquiring entailment pairs of binary patterns on a large-scale. This method exploits the tran- sitivity of entailment and a self-training scheme to improve the …...

AbstractBilingual lexica are the basis for many cross-lingual natural language processing tasks. Recent works have shown success in learning bilingual dictionary by taking advantages of comparable corpora and a diverse …...

AbstractIn this paper we use methods for creating a large lexicon of verbal polarity shifters and apply them to German. Polarity shifters are content words that can move the polarity …...

AbstractThe ability to produce high-quality publishable material is critical to academic success but many Post-Graduate students struggle to learn to do so. While recent years have seen an increase in …...

AbstractLanguage is gendered if the context surrounding a mention is suggestive of a particular binary gender for that mention. Detecting the different ways in which language is gendered is an …...

AbstractThe sentiment polarity of an expression (whether it is perceived as positive, negative or neutral) can be influenced by a number of phenomena, foremost among them negation. Apart from closed-class …...

AbstractIn community-edited resources such as wikiHow, sentences are subject to revisions on a daily basis. Recent work has shown that resulting improvements over time can be modelled computationally, assuming that …...

AbstractIn embodied cognition, physical experiences are believed to shape abstract cognition, such as natural language and reasoning. Image schemas were introduced as spatio-temporal cognitive building blocks that capture these recurring …...