2024
Geographic Adaptation of Pretrained Language Models.
Trans. Assoc. Comput. Linguistics, 2024
Traditional Methods Outperform Generative LLMs at Forecasting Credit Ratings.
CoRR, 2024
Decoding Climate Disagreement: A Graph Neural Network-Based Approach to Understanding Social Media Dynamics.
CoRR, 2024
STEntConv: Predicting Disagreement with Stance Detection and a Signed Graph Convolutional Network.
CoRR, 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Conspiracy Detection Beyond Text: Exploring the Feasibility of Adding Psycho-Linguistic Features to Enhance Conspiracy Detection Models.
Proceedings of the Disinformation in Open Online Media, 2024
Graph-enhanced Large Language Models in Asynchronous Plan Reasoning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
STEntConv: Predicting Disagreement between Reddit Users with Stance Detection and a Signed Graph Convolutional Network.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Probing Large Language Models for Scalar Adjective Lexical Semantics and Scalar Diversity Pragmatics.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Not Wacky vs. Definitely Wacky: A Study of Scalar Adverbs in Pretrained Language Models.
Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023
2022
The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse.
Dataset, January, 2022
Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology.
Proceedings of the International Conference on Machine Learning, 2022
An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
2021
Modeling Ideological Agenda Setting and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity.
CoRR, 2021
Superbizarre Is Not Superb: Improving BERT's Interpretations of Complex Words with Derivational Morphology.
CoRR, 2021
Predicting COVID-19 Cases using Reddit Posts and other Online Resources (short paper).
Proceedings of the Swiss Text Analytics Conference 2021, Winterthur, 2021
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
HateCheck: Functional Tests for Hate Speech Detection Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Dynamic Contextualized Word Embeddings.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Generating Derivational Morphology with BERT.
CoRR, 2020
The cognitive status of simple and complex models.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
DagoBERT: Generating Derivational Morphology with a Pretrained Language Model.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
A Graph Auto-encoder Model of Derivational Morphology.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Predicting the Growth of Morphological Families from Social and Linguistic Factors.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2017
Prior Expectations in Linguistic Learning: A Stochastic Model of Individual Differences.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
2016
Using Pronunciation-Based Morphological Subword Units to Improve OOV Handling in Keyword Search.
IEEE ACM Trans. Audio Speech Lang. Process., 2016
Variation in the strength of lexical encoding across dialects.
J. Phonetics, 2016
2015
Exponential Language Modeling Using Morphological Features and Multi-Task Learning.
IEEE ACM Trans. Audio Speech Lang. Process., 2015
2014
A model of grassroots changes in linguistic systems.
CoRR, 2014
Rules, Analogy, and Social Factors Codetermine Past-tense Formation Patterns in English.
Proceedings of the 2014 Joint Meeting of SIGMORPHON and SIGFSM, 2014
Using Resource-Rich Languages to Improve Morphological Analysis of Under-Resourced Languages.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014
Subword-based modeling for handling OOV words inkeyword spotting.
Proceedings of the IEEE International Conference on Acoustics, 2014
Reconciling Inconsistency in Encoded Morphological Distinctions in an Artificial Language.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014
Real Words, Possible Words, and New Words.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014
2013
Reassignment of consonant allophones in rapid dialect acquisition.
J. Phonetics, 2013
2012
Burstiness of Verbs and Derived Nouns.
Proceedings of the Shall We Play the Festschrift Game?, 2012
2011
Learning Diphone-Based Segmentation.
Cogn. Sci., 2011
2010
Niche as a determinant of word fate in online groups
CoRR, 2010
Audio-visual anticipatory coarticulation modeling by human and machine.
Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010
2009
Beyond word frequency: Bursts, lulls, and scaling in the temporal distributions of words
CoRR, 2009
2007
Much ado about nothing: A social network model of Russian paradigmatic gaps.
Proceedings of the ACL 2007, 2007
2006
1997
Stochastic phonological grammars and acceptability.
Proceedings of the Computational Phonology: Third Meeting of the ACL Special Interest Group in Computational Phonology, 1997
1994
Source allophony and speech synthesis.
Proceedings of the Second ESCA/IEEE Workshop on Speech Synthesis, 1994
1992
TOBI: a standard for labeling English prosody.
Proceedings of the Second International Conference on Spoken Language Processing, 1992
1987
Intonation and the Intentional Structure of Discourse.
Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987
1986
The intonational Structuring of Discourse.
Proceedings of the 24th Annual Meeting of the Association for Computational Linguistics, 1986
Japanese prosodic phrasing and intonation Synthesis.
Proceedings of the 24th Annual Meeting of the Association for Computational Linguistics, 1986
1984
Synthesis by rule of english intonation patterns.
Proceedings of the IEEE International Conference on Acoustics, 1984
1983
Automatic Recognition of Intonation Patterns.
Proceedings of the 21st Annual Meeting of the Association for Computational Linguistics, 1983