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Vector Space Modeling for NLP (NAACL 2015 workshop) Workshop on Vector Space Modeling for NLP NAACL 2015, Denver, Colorado (June 5, 2015) Overview Call for Papers Invited Speakers Organization Schedule Bibliography Pictures Post-workshop material: Pictures Chris Manning's talk slides Marco Baroni's talk slides Overview Modern NLP started with methods based on pure symbolic analysis of language. Statistical methods were introduced to NLP in its current form in the 1980s/1990s, allowing "soft" reasoning about language, and made NLP more data-driven. Over the last decade another step has been taken in this direction -- it was proposed to represent and analyze language in vector spaces. Now-a-days, context, symbolic and high-dimensional representations are often augmented with relatively low-dimensional vector-space representations. Vector space representations have been successfully used in different areas of NLP such as syntax and semantics. This workshop ...
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