1 |
Improving Intrinsic Exploration with Language Abstractions ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification. ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification ...
|
|
|
|
Abstract:
Most current approaches to metaphor identification use restricted linguistic contexts, e.g. by considering only a verb's arguments or the sentence containing a phrase. Inspired by pragmatic accounts of metaphor, we argue that broader discourse features are crucial for better metaphor identification. We train simple gradient boosting classifiers on representations of an utterance and its surrounding discourse learned with a variety of document embedding methods, obtaining near state-of-the-art results on the 2018 VU Amsterdam metaphor identification task without the complex metaphor-specific features or deep neural architectures employed by other systems. A qualitative analysis further confirms the need for broader context in metaphor processing. ... : NAACL 2019; 6 pages; code available at https://github.com/jayelm/broader-metaphor; v2 updates affiliations and acknowledgments ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://arxiv.org/abs/1904.02246 https://dx.doi.org/10.48550/arxiv.1904.02246
|
|
BASE
|
|
Hide details
|
|
5 |
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification.
|
|
|
|
BASE
|
|
Show details
|
|
|
|