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The inclusion of domain-knowledge is of special interest not just to constructing scientific assistants, but also, many other areas that involve understanding data using human-machine collaboration. ... In many such instances, machine-based model construction may benefit significantly from being provided with human-knowledge of the domain encoded in a sufficiently precise form. ... Joint Conferences on Artificial Intelligence Organiza- In Proceedings of the 2018 Conference on Empiri- tion, 2020). ...arXiv:2107.10295v4 fatcat:ifkgq3cptbapfamr3dld57uruu
Coupled with a higher incidence of unseen features more generally and the lack of large training corpora, this leads to significantly lower F1 scores for diverse genres as compared to more regular ones ... This paper aims to quantify how this diversity impacts state-of-the-art NER methods, by measuring named entity (NE) and context variability, feature sparsity, and their effects on precision and recall. ... EP/K017896/1 uComp 10 and by the European Union under Grant Agreements No. 611233 PHEME. 11 The authors wish to thank the CS&L reviewers for their helpful and constructive feedback. ...arXiv:1701.02877v2 fatcat:eandj36upfecrdtlurvfi2fw6m
iii resources to predict the compositionality of MWEs. The program also included a panel discussion on the future directions of the MWE community and the SIGLEX Section. ... We would like to thank the members of the program committee for the timely reviews, authors for their valuable contributions, shared task organizers, annotators, and system developers for their hard work ... On the side of UD, Silveira and Manning (2015) explore whether the UD treebank formalism needs an additional representation to improve parsing. ...doi:10.18653/v1/w17-1702 dblp:conf/mwe/ChesneyJSP17 fatcat:bv7aavgth5eurmzuphuowtuuhq