23 citations · 124 across the 30 of their papers we have counts for
5 papers · 1 filter
Hierarchical Quantized Representations for Script Generation
Noah Weber, Leena Shekhar, Niranjan Balasubramanian +1
Scripts define knowledge about how everyday scenarios (such as going to a restaurant) are expected to unfold. One of the challenges to learning scripts is the hierarchical nature o…
Residualized Factor Adaptation for Community Social Media Prediction Tasks
Mohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn +2
Predictive models over social media language have shown promise in capturing community outcomes, but approaches thus far largely neglect the socio-demographic context (e.g. age, ed…
Fake Sentence Detection as a Training Task for Sentence Encoding
Viresh Ranjan, Heeyoung Kwon, Niranjan Balasubramanian +1
Sentence encoders are typically trained on language modeling tasks with large unlabeled datasets. While these encoders achieve state-of-the-art results on many sentence-level tasks…
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models
Noah Weber, Leena Shekhar, Niranjan Balasubramanian
Seq2Seq based neural architectures have become the go-to architecture to apply to sequence to sequence language tasks. Despite their excellent performance on these tasks, recent wo…
Controlling Decoding for More Abstractive Summaries with Copy-Based Networks
Noah Weber, Leena Shekhar, Niranjan Balasubramanian +1
Attention-based neural abstractive summarization systems equipped with copy mechanisms have shown promising results. Despite this success, it has been noticed that such a system ge…