2 citations · 7 across the 13 of their papers we have counts for
14 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…
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…
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…
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…
MASSIVE Multilingual Abstract Meaning Representation: A Dataset and Baselines for Hallucination Detection
Michael Regan, Shira Wein, George Baker +1
Abstract Meaning Representation (AMR) is a semantic formalism that captures the core meaning of an utterance. There has been substantial work developing AMR corpora in English and…
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.…
AMR4NLI: Interpretable and robust NLI measures from semantic graphs
Juri Opitz, Shira Wein, Julius Steen +2
The task of natural language inference (NLI) asks whether a given premise (expressed in NL) entails a given NL hypothesis. NLI benchmarks contain human ratings of entailment, but t…
Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation
Shira Wein, Nathan Schneider
Translated texts bear several hallmarks distinct from texts originating in the language. Though individual translated texts are often fluent and preserve meaning, at a large scale,…
Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation
Shira Wein, Zhuxin Wang, Nathan Schneider
Identifying semantically equivalent sentences is important for many cross-lingual and mono-lingual NLP tasks. Current approaches to semantic equivalence take a loose, sentence-leve…
Spanish Abstract Meaning Representation: Annotation of a General Corpus
Shira Wein, Lucia Donatelli, Ethan Ricker +3
The Abstract Meaning Representation (AMR) formalism, designed originally for English, has been adapted to a number of languages. We build on previous work proposing the annotation…
PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English
Michael Kranzlein, Emma Manning, Siyao Peng +4
We present the Prepositions Annotated with Supersense Tags in Reddit International English ("PASTRIE") corpus, a new dataset containing manually annotated preposition supersenses o…
Supersense and Sensibility: Proxy Tasks for Semantic Annotation of Prepositions
Luke Gessler, Shira Wein, Nathan Schneider
Prepositional supersense annotation is time-consuming and requires expert training. Here, we present two sensible methods for obtaining prepositional supersense annotations by elic…
A Human Evaluation of AMR-to-English Generation Systems
Emma Manning, Shira Wein, Nathan Schneider
Most current state-of-the art systems for generating English text from Abstract Meaning Representation (AMR) have been evaluated only using automated metrics, such as BLEU, which a…