Lexicosyntactic Patterns

Recent work in Question Answering has focused on web-based systems that extract answers using simple lexico- syntactic patterns. We present an alternative strategy in which patterns are used to extract …...

We present a machine learning frame- work for resolving other-anaphora. Be- sides morpho-syntactic, recency, and se- mantic features based on existing lexi- cal knowledge resources, our algorithm obtains additional semantic …...

AbstractIn this work we propose a hybrid unsupervised approach for semantic relation extraction from Italian and English texts. The system takes as input pairs of ""distributionally similar"" terms, possibly involved …...

Machine learning approaches for Information Extraction use different types of features to acquire semantically related terms from free text. These features may contain several kinds of linguistic knowledge: from orthographic …...

AbstractSemantic representation of text is key to text understanding and reasoning. In this paper, we present Polaris, Lymba's semantic parser. Polaris is a supervised semantic parser that given text extracts …...

Determining the stance expressed by an author from a post written for a two-sided debate in an online debate forum is a relatively new problem in opinion min- ing. We …...

AbstractThe work detailed in this paper describes a 2-step cascade approach for the classification of complex-type nominals. We describe an experiment that demonstrates how a cascade approach performs when the …...

AbstractThe increasing availability and maturity of both scalable computing architectures and deep syntactic parsers is opening up new possibilities for Relation Extraction (RE) on large corpora of natural language text. …...

. Vector space models implement the distributional hypothesis relying on the repetition of information oc- curring in the contexts of words to associate. However, these models suffer from a high …...

We present a system for taxonomy construc- tion that reached the first place in all sub- tasks of the SemEval 2016 challenge on Tax- onomy Extraction Evaluation. Our simple yet …...

AbstractDistinguishing between antonyms and synonyms is a key task to achieve high performance in NLP systems. While they are notoriously difficult to distinguish by distributional co-occurrence models, pattern-based methods have …...

In this paper we present Multilingual IsA (MIsA), which is a collection of hypernymy relations in five languages (i.e., English, Spanish, French, Italian and Dutch) extracted from the corresponding full …...