In this report we summarize the results of the SemEval 2016 Task 8: Meaning
Representation Parsing. Participants were asked to generate Abstract Meaning …

The complex relationship between natural language and formal semantic representations
can be investigated by the development of large, semantically-annotated corpora. The …

Meaning Representation (AMR) represents sentences as directed, acyclic and rooted
graphs, aiming at capturing their meaning in a machine readable format. AMR parsing …

Meaning Representation (AMR) is a semantic representation for natural language that
encompasses annotations related to traditional tasks such as Named Entity Recognition …

A key task in intelligent language processing is obtaining semantic representations that
abstract away from surface lexical and syntactic decisions. The Abstract Meaning …

The application of Abstract Meaning Representation (AMR) is widely increasing as a
principal form of structured sentence semantics, and it is considered as a turning point for …

کاربرد بازنمایی معنای انتزاعی (AMR) به طور گسترده‌ای به عنوان شکل اصلی معناشناسی
ساختاریافته در حال افزایش است و به عنوان نقطه عطفی برای تحقیقات پردازش زبان طبیعی …‎

This thesis explores cross-lingual Abstract Meaning Representation (AMR) parsing by
undertaking an error analysis of Chinese language AMR parsing, using the CAMR parser …

In recent years, large amounts of data have been made available on microblog platforms
such as Twitter, however, it is difficult to filter and extract information and knowledge from …