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20212025
most citedSemantic Construction Grammar: Bridging the NL / Logic Divide

4 citations · 14 across the 13 of their papers we have counts for

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cs.CL20244 cited

Using Large Language Models for the Interpretation of Building Regulations

Stefan Fuchs, Michael Witbrock, Johannes Dimyadi +1

Compliance checking is an essential part of a construction project. The recent rapid uptake of building information models (BIM) in the construction industry has created more oppor…

cs.CL2023

Teaching Smaller Language Models To Generalise To Unseen Compositional Questions

Tim Hartill, Neset Tan, Michael Witbrock +1

We equip a smaller Language Model to generalise to answering challenging compositional questions that have not been seen in training. To do so we propose a combination of multitask…

cs.CL20231 cited

Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval

Tim Hartill, Diana Benavides-Prado, Michael Witbrock +1

When provided with sufficient explanatory context, smaller Language Models have been shown to exhibit strong reasoning ability on challenging short-answer question-answering tasks…

cs.CL2023

Neuromodulation Gated Transformer

Kobe Knowles, Joshua Bensemann, Diana Benavides-Prado +4

We introduce a novel architecture, the Neuromodulation Gated Transformer (NGT), which is a simple implementation of neuromodulation in transformers via a multiplicative effect. We…

cs.CL20232 cited

Input-length-shortening and text generation via attention values

Neşet Özkan Tan, Alex Yuxuan Peng, Joshua Bensemann +4

Identifying words that impact a task's performance more than others is a challenge in natural language processing. Transformers models have recently addressed this issue by incorpo…

cs.CL20214 cited

Semantic Construction Grammar: Bridging the NL / Logic Divide

Dave Schneider, Michael Witbrock

In this paper, we discuss Semantic Construction Grammar (SCG), a system developed over the past several years to facilitate translation between natural language and logical represe…