activity
20152021
most citedControlling Decoding for More Abstractive Summaries with Copy-Based Networks

12 citations · 12 across the 4 of their papers we have counts for

collaborators

9 papers

q-bio.BM2021

Decoupled coordinates for machine learning-based molecular fragment linking

Markus Fleck, Noah Weber, Christopher Trummer

Recent developments in machine-learning based molecular fragment linking have demonstrated the importance of informing the generation process with structural information specifying…

cs.CL2021

Human Schema Curation via Causal Association Rule Mining

Noah Weber, Anton Belyy, Nils Holzenberger +2

Event schemas are structured knowledge sources defining typical real-world scenarios (e.g., going to an airport). We present a framework for efficient human-in-the-loop constructio…

cs.CL2020

Generating Narrative Text in a Switching Dynamical System

Noah Weber, Leena Shekhar, Heeyoung Kwon +2

Early work on narrative modeling used explicit plans and goals to generate stories, but the language generation itself was restricted and inflexible. Modern methods use language mo…

cs.CL2020

Causal Inference of Script Knowledge

Noah Weber, Rachel Rudinger, Benjamin Van Durme

When does a sequence of events define an everyday scenario and how can this knowledge be induced from text? Prior works in inducing such scripts have relied on, in one form or anot…

cs.CL2018

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…

cs.CL2018

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…