Releases: nschneid/pysupersensetagger
AMALGrAM
AMALGrAM (A Machine Analyzer of Lexical Groupings And Meanings) analyzes English sentences for multiword expressions (MWEs) and noun and verb supersenses. For example, given the sentence
I do n't think he 's afraid to take a strong stand on gun control , what with his upbringing in El Paso .
the analysis
I do|`a n't think|cognition he 's|stative afraid to take_a_ strong _stand|cognition on gun_control|ARTIFACT , what_with his upbringing|ATTRIBUTE in El_Paso|LOCATION .
will be predicted, grouping "take a stand", "gun control", "what with", and "El Paso" as MWEs and labeling several lexical expressions with supersenses (UPPERCASE for nouns, lowercase for verbs). The model and algorithms implemented in the tool are described in Schneider et al. (TACL 2014, NAACL-HLT 2015), and resources required to use it are available at http://www.ark.cs.cmu.edu/LexSem/.
AMALGr 1.0
AMALGr (A Machine Analyzer of Lexical Groupings) identifies a broad range of English multiword expressions (MWEs) in context. For example, given the sentence
I do n't hold a grudge against him over his views , which I think have a lot to do with his upbringing in El Paso .
the analysis
I do n't hold_a_grudge against him over his views , which I think have_ a_lot _to_do with his upbringing in El_Paso .
will be predicted, grouping "hold a grudge", "have to do", "a lot", and "El Paso" as MWEs. The model and algorithms implemented in the tool are described in Schneider et al. (TACL 2014), and resources required to use it are available at http://www.ark.cs.cmu.edu/LexSem/.
See README.md for further details.