Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
By David Yarowsky, Timothy Baldwin, Anna Korhonen, Karen Livescu, Steven Bethard. 2013
41 citations recorded by the source corpus.
Subfields: Natural Language Processing
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In Natural Language Processing
Citations in the corpus
- Language Is Not All You Need: Aligning Perception with Language Models (2023, methodology): “For example, during the Rendered SST-2 task, sentences from the Stanford Sentiment Treebank [SPW13] dataset are rendered as images.”
- Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning (2020, neutral): “, programs or action sequences, which can be directly executed on the KB to yield answers (denotations) [Berant et al., 2013; Shen et al., 2019].”
- Syntax-based Deep Matching of Short Texts (2015, methodology): “We test our algorithm on the problem of matching a tweet and a response in social media, a hard matching problem proposed in [Wang et al., 2013], and show that DEEPMATCHtree can outperform a number of competitor models including one without using dependency trees and one based on word-embedding, all”