Ағылшын Уикипедиясы

Although Wikipedia has emerged as a power- ful collaborative Encyclopedia on the Web, it is only partially multilingual as most of the content is in English and a small number …...

In this paper, we analyze a novel set of fea- tures for the task of automatic edit category classification. Edit category classification as- signs categories such as spelling error correc- …...

This paper describes our system for Task 11 of SemEval-2013. In the task, participants are provided with a set of ambiguous search queries and the snippets returned by a search …...

AbstractThe extraction of semantic propositions has proven instrumental in applications like IBM Watson and in Google’s knowledge graph . One of the core components of IBM Watson is the PRISMATIC …...

For information retrieval, it is useful to classi- fy documents using a hierarchy of terms from a domain. One problem is that, for many do- mains, hierarchies of terms are …...

AbstractThe aim of this paper is to study the effect that the use of Basic English versus common English has on information extraction from online resources. The amount of online …...

AbstractPre-training large language models has become a standard in the natural language processing community. Such models are pre-trained on generic data (e.g. BookCorpus and English Wikipedia) and often fine-tuned on …...

AbstractHumans do not make inferences over texts, but over models of what texts are about. When annotators are asked to annotate coreferent spans of text, it is therefore a somewhat …...

AbstractTransformer-based language models benefit from conditioning on contexts of hundreds to thousands of previous tokens. What aspects of these contexts contribute to accurate model prediction? We describe a series of …...

AbstractWe present a word-sense induction method based on pre-trained masked language models (MLMs), which can cheaply scale to large vocabularies and large corpora. The result is a corpus which is …...