High-risk learning: acquiring new word vectors from tiny data (Herbelot et al., 2017).Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation (Johnson et al., TACL 2017).Getting the Most out of AMR Parsing (Wang and Xue, EMNLP 2017).Frames: a corpus for adding memory to goal-oriented dialogue systems (El Asri et al., 2017).Filling the Blanks (hint: plural noun) for Mad Libs Humor (Hossain et al., EMNLP 2017).Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples (Vidur Joshi et al., 2018).Evorus: A Crowd-powered Conversational Assistant Built to Automate Itself Over Time (Huang et al., 2018).Evaluating the Utility of Hand-crafted Features in Sequence Labelling (Minghao Wu et al., 2018).Error-repair Dependency Parsing for Ungrammatical Texts (Sakaguchi et al., 2017).Dynamic Programming Algorithms for Transition-Based Dependency Parsers (Kuhlmann et al., ACL 2011).Dynamic Evaluation of Neural Sequence Models (Krause et al., 2017).Detecting annotation noise in automatically labelled data (Rehbein and Ruppenhofer, ACL 2017).DeftNN: Addressing Bottlenecks for DNN Execution on GPUs via Synapse Vector Elimination and Near-compute Data Fission (Hill et al., MICRO 2017).Controlled Crowdsourcing for High-Quality QA-SRL Annotation (Roit, et al., ACL 2020).Compositional Demographic Word Embeddings (Welch et al., EMNLP 2020).ChartDialogs: Plotting from Natural Language Instructions (Shao and Nakashole, ACL 2020). ![]()
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