Katrin Erk

Attending to Entities for Better Text Understanding

2019 · arXiv (Cornell University)

Recent progress in NLP witnessed the development of large-scale pre-trained language models (GPT, BERT, XLNet, etc.) based on Transformer (Vaswani et al. 2017), and in a range of end tasks, such models have achieved state-of-the-art …

The Probabilistic Turn in Semantics and Pragmatics

2021 · Annual Review of Linguistics

This article provides an overview of graded and probabilistic approaches in semantics and pragmatics. These approaches share a common set of core research goals: ( a) a concern with phenomena that are best described as …

A Method for Studying Semantic Construal in Grammatical Constructions with Interpretable Contextual Embedding Spaces

2023

We study semantic construal in grammatical constructions using large language models. First, we project contextual word embeddings into three interpretable semantic spaces, each defined by a different set of psycholinguistic feature norms. We validate these …

SAGA: A Participant-specific Examination of Story Alternatives and Goal Applicability for a Deeper Understanding of Complex Events

2024 · arXiv (Cornell University)

Interpreting and assessing goal driven actions is vital to understanding and reasoning over complex events. It is important to be able to acquire the knowledge needed for this understanding, though doing so is challenging. We …

Deep Neural Models of Semantic Shift

2018

Alex Rosenfeld, Katrin Erk. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 2018.