Жоғары дәлдік

Instant Messaging (IM) chat sessions are real-time, text-based conversations which can be analyzed using dialogue-act mod- els. Dialogue acts represent the seman- tic information of an utterance, however, messages must …...

We propose a novel lexicon acquirer that works in concert with the morphological ana- lyzer and has the ability to run in online mode. Every time a sentence is analyzed, …...

We present a novel approach to weakly super- vised semantic class learning from the web, using a single powerful hyponym pattern com- bined with graph structures, which capture two properties …...

We present a novel approach to metaphor in- terpretation and a system that produces lit- eral paraphrases for metaphorical expressions. Such a representation is directly transferable to other applications that …...

Mining sentiment from user generated content is a very important task in Natural Language Processing. An example of such content is threaded discussions which act as a very im- portant …...

AbstractNatural language interfaces to data services will be a key technology to guarantee access to huge data repositories in an effortless way. This involves solving the complex problem of recognizing …...

Since many applications such as timeline sum- maries and temporal IR involving temporal analysis rely on document timestamps, the task of automatic dating of documents has been increasingly important. Instead …...

Identifying documents that describe a specific type of event is challenging due to the high complexity and variety of event descriptions. We propose a multi-faceted event recognition approach, which identifies …...

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 …...

Models that learn to represent textual and knowledge base relations in the same con- tinuous latent space are able to perform joint inferences among the two kinds of re- lations …...

AbstractGiven the well-established usefulness of part-of-speech tag annotations in many syntactically oriented downstream NLP tasks, the recently proposed notion of semantic tagging (Bjerva et al. 2016) aims at tagging words …...

AbstractOne of the biggest bottlenecks in building accurate, high coverage neural open IE systems is the need for large labelled corpora. The diversity of open domain corpora and the variety …...

AbstractDespite the subjective nature of many NLP tasks, most NLU evaluations have focused on using the majority label with presumably high agreement as the ground truth. Less attention has been …...

AbstractNowadays, fake news is spreading in various ways, and this fake information is causing a lot of social damages. Thus the need to detect fake information is increasing to prevent …...