@article{TACL652,
        author = {Michael Roth and Mirella Lapata},
        title = {Context-aware Frame-Semantic Role Labeling},
        journal = {Transactions of the Association for Computational Linguistics},
        volume = {3},
        year = {2015},
        keywords = {},
        abstract = {Frame semantic representations have been useful in several
applications ranging from text-to-scene generation, to question answering
and social network analysis. Predicting such representations from raw text
is, however, a challenging task and corresponding models are typically only
trained on a small set of sentence-level annotations. In this paper, we
present a semantic role labeling system that takes into account sentence and
discourse context. We introduce several new features which we motivate based
on linguistic insights and experimentally demonstrate that they lead to
significant improvements over the current state-of-the-art in FrameNet-based
semantic role labeling.
},
        issn = {2307-387X},
        url =
{https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/652},
        pages = {449--460}
}