1 citations · 1 across the 2 of their papers we have counts for
6 papers
For What Reason? Interpreting Models' Encoding of Causation and Antithesis
Abhidip Bhattacharyya, Shira Wein
Discourse relations provide document structure, critical to language understanding and enabling language model performance and ethicality. In this work, we investigate how instruct…
SETUP: Sentence-level English-To-Uniform Meaning Representation Parser
Emma Markle, Javier Gutierrez Bach, Shira Wein
Uniform Meaning Representation (UMR) is a novel graph-based semantic representation which captures the core meaning of a text, with flexibility incorporated into the annotation sch…
Generating Text from Uniform Meaning Representation
Emma Markle, Reihaneh Iranmanesh, Shira Wein
Uniform Meaning Representation (UMR) is a recently developed graph-based semantic representation, which expands on Abstract Meaning Representation (AMR) in a number of ways, in par…
Natural Language Processing RELIES on Linguistics
Juri Opitz, Shira Wein, Nathan Schneider
Large Language Models (LLMs) have become capable of generating highly fluent text in certain languages, without modules specially designed to capture grammar or semantic coherence.…
When Does Meaning Backfire? Investigating the Role of AMRs in NLI
Junghyun Min, Xiulin Yang, Shira Wein
Natural Language Inference (NLI) relies heavily on adequately parsing the semantic content of the premise and hypothesis. In this work, we investigate whether adding semantic infor…
Can Uniform Meaning Representation Help GPT-4 Translate from Indigenous Languages?
Shira Wein
While ChatGPT and GPT-based models are able to effectively perform many tasks without additional fine-tuning, they struggle with tasks related to extremely low-resource languages a…