The Web as an Implicit Training Set: Application to Noun Compounds Syntax and Semantics
Code (0)
등록된 구현이 없습니다.
Tasks
Community Question AnsweringMachine TranslationQuestion AnsweringRelation ExtractionSentiment AnalysisSimilar Papers 제목 키워드 기반
Using the Web as an Implicit Training Set: Application to Noun Compound Syntax and Semantics
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. While eventually mastered by domain expert…
Information RetrievalMachine TranslationPrepositional Phrase AttachmentQuestion Answering+2Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations
Revealing the implicit semantic relation between the constituents of a noun-compound is important for many NLP applications. It has been addressed in the literature either as a classification task to a set of pre-defined…
General ClassificationHuman and Automatic Interpretation of Romanian Noun Compounds
Determining the intended, context-dependent meanings of noun compounds like "shoe sale" and "fire sale" remains a challenge for NLP. Previous work has relied on inventories of semantic relations that capture the differen…
RelationSemEval-2013 Task 4: Free Paraphrases of Noun Compounds
In this paper, we describe SemEval-2013 Task 4: the definition, the data, the evaluation and the results. The task is to capture some of the meaning of English noun compounds via paraphrasing. Given a two-word noun compo…
A Joint Approach to Compound Splitting and Idiomatic Compound Detection
Applications such as machine translation, speech recognition, and information retrieval require efficient handling of noun compounds as they are one of the possible sources for out-of-vocabulary (OOV) words. In-depth pro…
Information RetrievalMachine TranslationRetrievalspeech-recognition+2