Transforming

By Jacqueline Robertson, Anne Conzemius, William C. Conzemius. 1996

166 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Break It Down: A Question Understanding Benchmark (2020, neutral): “Domain-independent intermediate representations for semantic parsers were proposed by Kwiatkowski et al. (2013) and Reddy et al. (2016).”
A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection (2020, background): “…only the generation of hypotheses for the computations that may be carried out by subnetworks at each layer, but, increasingly, tests of these hypotheses (Fisher et al., 2019; Green et al., 2017; Kim et al., 2019; Kim et al., 2017b; Lu et al., 2020a; Lyu et al., 2020; Turner-Evans et al., 2017).”
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation (2021, unknown): “Each paper was published between 2018 and 2020 at ACL, NAACL, or EMNLP, and we exclude papers that use AMT to evaluate more wellestablished generation tasks like machine translation, or summarization.3 Unlike previous surveys of evaluating generated text (Çelikyilmaz et al., 2020; van der Lee et al.”
On-the-Fly Controlled Text Generation with Experts and Anti-Experts (2021, unknown): “As a second setting, we consider the well-studied task of controlling the sentiment of text (e.g., Li et al., 2018; Sudhakar et al., 2019), steering towards either positive or negative sentiment.”