Competitive text-mining and molecular data exchange at ACS Indy

Two talks on very different topics were presented by NextMovers at the recent ACS National Meeting in Indianapolis.

Daniel described how LeadMine uses two-state grammars to find dictionary terms, as well as some of the clever techniques he has used to improve performance for the BioCreative CHEMNDER chemical compound text-mining challenge (results not yet announced). Separately, Roger spoke about some of the challenges in the supposedly trivial tasks of reading/writing molecular file formats (for more on the MDLValence benchmark discussed here see an earlier blog post).

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