Зат Есім Қосылыстары

In many types of technical texts, meaning is embedded in noun compounds. A language un- derstanding program needs to be able to inter- pret these in order to ascertain sentence …...

Responding to the need for semantic lexical resources in natural language processing ap- plications, we examine methods to acquire noun compounds (NCs), e.g., orange juice, to- gether with suitable fine-grained …...

We investigate how the automatic identi- fication of noun compounds and named entities can contribute to keyphrase ex- traction and we also show how previously identified noun compounds affect named …...

Word boundaries within noun compounds are not marked by white spaces in a number of languages, unlike in English, and it is benefi- cial for various NLP applications to split …...

AbstractOpen Information Extraction (Open IE) is a strategy for learning relations from texts, regardless the domain and without predefining these relations. Work in this area has focused mainly on verbal …...

Noun compounds are interesting constructs in Natural Language Processing (NLP). Interpretation of noun compounds is the task of uncovering a relationship between component nouns of a noun compound. There has …...

AbstractInterpreting noun compounds is a challenging task. It involves uncovering the underlying predicate which is dropped in the formation of the compound. In most cases, this predicate is of the …...

AbstractTo date, transformer-based models such as BERT have been less successful in predicting compositionality of noun compounds than static word embeddings. This is likely related to a suboptimal use of …...