LSDSem 2015 - Linking Models of Lexical, Sentential and Discourse-level Semantics

This workshop aims to gather and showcase theoretical and computational approaches to joint models of semantics, and applications that incorporate multi-level semantics. We hope to bring together researchers from various areas: linguists and cognitive scientists working on aspects of representing text with multiple levels of semantics, machine learning researchers interested in joint inference over different types of semantic cues, and also researchers who are interested in applications that require or will benefit from multi-level semantics. A dialog between researchers has great potential to advance work in each of these areas and bring about more powerful and enriched models of text semantics.
Topics of interest include, but are not limited to:
Approaches for creating models of lexical and sentence semantics enriched with discourse information
Sentence-level semantic processing tasks such as SRL, paraphrase detection, semantic parsing that take account of discourse context
Integration of rich sentence semantics into discourse tasks such as discourse parsing, coherence modeling, coreference resolution, text segmentation (by topic and/or by function)
Joint models of sentence and discourse semantics
Applications, such as summarization, text generation and question answering, developed based on multiple layers of semantic information