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Recent developments and open questions in the field of semantic roles
Semantic roles and verbless constructions: A Finnish challenge for verb-centered approaches
Semantic Role Based Sentence Compression
In this paper, a new unsupervised sentence compression method is proposed. Sentences are tagged with Part Of Speech tags and semantic role labels. The proposed method relies on the semantic roles of sentences’ parts. Moreover, in the process...
Context-Based Persian Multi-Document Summarization (global view)
Multi-document summarization is the automatic extraction of information from multiple documents of the
same topic. This paper proposes a new method, using LSA, for extracting the global context of a topic and removes ...
SREC: Discourse-level semantic relation extraction from text
Semantic relation extraction is a significant topic in semantic web and natural language processing with various important applications such as knowledge acquisition, web and text mining, information retrieval and search ...
Shallow Semantic Parsing of Persian Sentences
. Extracting semantic roles is one of the major steps in representing text meaning. It refers to finding the semantic relations between a predicate and syntactic constituents in a sentence. In this paper we present a semantic role labeling system...