Sentence examples for noun compound from inspiring English sources

I address noun compound semantics by automatically generating paraphrasing verbs and prepositions that make explicit the hidden semantic relations between the nouns in a noun compound.

I extend this approach by introducing novel surface features and paraphrases, which yield state-of-the-art results for the task of noun compound bracketing.

The second method focuses on the special case of interpreting the implicit semantic relation that holds between the constituent words of a noun compound (e.g. olive oil is made of olives, while baby oil is for babies).

For example, a question answering system might need to know whether "protein acting as a tumor suppressor" is an acceptable paraphrase of the noun compound tumor suppressor protein, and an information extraction system might need to decide if the terms neck vein thrombosis and neck thrombosis can possibly co-refer when used in the same document.

Although this mentioned work deals with the different problem of noun compound interpretation, it points up that the semantic information provided by the qualia structure of nominals may be used to understand the semantic relations within them.

We show the distribution of these semantic categories on a corpus of noun compounds and present several models for the bracketing and the semantic classification of noun compounds.

The oblique stem is used in genitive meaning and can occur as the first member of noun + noun compounds.

This paper provides new insights on the semantic characteristics of two and three noun compounds.

An important characteristic of English written text is the abundance of noun compounds - sequences of nouns acting as a single noun, e.g., colon cancer tumor suppressor protein.

I also demonstrate how these paraphrasing verbs can be used to solve various relational similarity problems, and how paraphrasing noun compounds can improve machine translation.

Understanding noun compounds' syntax and semantics is important for many natural language applications, including question answering, machine translation, information retrieval, and information extraction.