Search Results for author: Noah Weber

Found 8 papers, 5 papers with code

Decoupled coordinates for machine learning-based molecular fragment linking

no code implementations1 Nov 2021 Markus Fleck, Noah Weber, Christopher Trummer

The presented benefits suggest the application of a complete and decoupled relative coordinate system as a standard good practice in linker design.

BIG-bench Machine Learning

Human Schema Curation via Causal Association Rule Mining

1 code implementation LREC (LAW) 2022 Noah Weber, Anton Belyy, Nils Holzenberger, Rachel Rudinger, Benjamin Van Durme

Event schemas are structured knowledge sources defining typical real-world scenarios (e. g., going to an airport).


Generating Narrative Text in a Switching Dynamical System

1 code implementation CONLL 2020 Noah Weber, Leena Shekhar, Heeyoung Kwon, Niranjan Balasubramanian, Nathanael Chambers

A SLDS is a dynamical system in which the latent dynamics of the system (i. e. how the state vector transforms over time) is controlled by top-level discrete switching variables.

Text Generation

Causal Inference of Script Knowledge

no code implementations EMNLP 2020 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?

Causal Inference

Hierarchical Quantized Representations for Script Generation

1 code implementation EMNLP 2018 Noah Weber, Leena Shekhar, Niranjan Balasubramanian, Nathanael Chambers

This permits the decoder to softly decide what portions of the latent hierarchy to condition on by attending over the value embeddings for a given setting.

Language Modelling Quantization

The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models

2 code implementations WS 2018 Noah Weber, Leena Shekhar, Niranjan Balasubramanian

Seq2Seq based neural architectures have become the go-to architecture to apply to sequence to sequence language tasks.

Event Representations with Tensor-based Compositions

1 code implementation21 Nov 2017 Noah Weber, Niranjan Balasubramanian, Nathanael Chambers

Robust and flexible event representations are important to many core areas in language understanding.

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