Allyson Ettinger

According to our database1, Allyson Ettinger authored at least 33 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently.
CoRR, 2024

2023
The Generative AI Paradox: "What It Can Create, It May Not Understand".
CoRR, 2023

Faith and Fate: Limits of Transformers on Compositionality.
CoRR, 2023

Faith and Fate: Limits of Transformers on Compositionality.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Linguistic Productivity: the Case of Determiners in English.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Can You Follow Me? Testing Situational Understanding for ChatGPT.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

"You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Counterfactual reasoning: Do language models need world knowledge for causal understanding?
CoRR, 2022

COMPS: Conceptual Minimal Pair Sentences for testing Property Knowledge and Inheritance in Pre-trained Language Models.
CoRR, 2022

A Property Induction Framework for Neural Language Models.
CoRR, 2022

"No, They Did Not": Dialogue Response Dynamics in Pre-trained Language Models.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Do language models learn typicality judgments from text?
CoRR, 2021

Sorting through the noise: Testing robustness of information processing in pre-trained language models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Pragmatic competence of pre-trained language models through the lens of discourse connectives.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

Variation and generality in encoding of syntactic anomaly information in sentence embeddings.
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

On the Interplay Between Fine-tuning and Composition in Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
What BERT is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models.
Trans. Assoc. Comput. Linguistics, 2020

Adding Recurrence to Pretrained Transformers for Improved Efficiency and Context Size.
CoRR, 2020

Assessing Phrasal Representation and Composition in Transformers.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Exploring BERT's sensitivity to lexical cues using tests from semantic priming.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Exploring Lexical Relations in BERT using Semantic Priming.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

PeTra: A Sparsely Supervised Memory Model for People Tracking.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Spying on Your Neighbors: Fine-grained Probing of Contextual Embeddings for Information about Surrounding Words.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018
Assessing Composition in Sentence Vector Representations.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task.
CoRR, 2017

2016
Evaluating vector space models using human semantic priming results.
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, 2016

Probing for semantic evidence of composition by means of simple classification tasks.
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, 2016

Retrofitting Sense-Specific Word Vectors Using Parallel Text.
Proceedings of the NAACL HLT 2016, 2016

Modeling N400 amplitude using vector space models of word representation.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015
Dialogue focus tracking for zero pronoun resolution.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015


  Loading...