research
∙
05/24/2023
Selectively Answering Ambiguous Questions
Trustworthy language models should abstain from answering questions when...
share
research
∙
05/19/2023
MD3: The Multi-Dialect Dataset of Dialogues
We introduce a new dataset of conversational speech representing English...
research
∙
11/02/2022
Dialect-robust Evaluation of Generated Text
Evaluation metrics that are not robust to dialect variation make it impo...
research
∙
10/24/2022
Predicting Long-Term Citations from Short-Term Linguistic Influence
A standard measure of the influence of a research paper is the number of...
research
∙
10/20/2022
Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification
Implicit discourse relations bind smaller linguistic units into coherent...
research
∙
10/05/2022
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model
Explainable question answering systems should produce not only accurate ...
research
∙
04/09/2022
Uninformative Input Features and Counterfactual Invariance: Two Perspectives on Spurious Correlations in Natural Language
Spurious correlations are a threat to the trustworthiness of natural lan...
research
∙
09/02/2021
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
A fundamental goal of scientific research is to learn about causal relat...
research
∙
08/01/2021
Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information
Commonly-used transformer language models depend on a tokenization schem...
research
∙
06/30/2021
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer
Despite their success, large pre-trained multilingual models have not co...
research
∙
06/30/2021
The MultiBERTs: BERT Reproductions for Robustness Analysis
Experiments with pretrained models such as BERT are often based on a sin...
research
∙
06/29/2021
Time-Aware Language Models as Temporal Knowledge Bases
Many facts come with an expiration date, from the name of the President ...
research
∙
05/31/2021
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests
Informally, a `spurious correlation' is the dependence of a model on som...
research
∙
03/12/2021
Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers
The abolitionist movement of the nineteenth-century United States remain...
research
∙
01/16/2021
Tuiteamos o pongamos un tuit? Investigating the Social Constraints of Loanword Integration in Spanish Social Media
Speakers of non-English languages often adopt loanwords from English to ...
research
∙
11/06/2020
Underspecification Presents Challenges for Credibility in Modern Machine Learning
ML models often exhibit unexpectedly poor behavior when they are deploye...
research
∙
10/23/2020
Learning to Recognize Dialect Features
Linguists characterize dialects by the presence, absence, and frequency ...
research
∙
09/18/2020
Will it Unblend?
Natural language processing systems often struggle with out-of-vocabular...
research
∙
06/21/2020
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation
In this paper, we propose a new adversarial augmentation method for Neur...
research
∙
05/01/2020
Sparse, Dense, and Attentional Representations for Text Retrieval
Dual encoder architectures perform retrieval by encoding documents and q...
research
∙
09/19/2019
Characterizing Collective Attention via Descriptor Context in Public Discussions of Crisis Events
Collective attention is central to the spread of real world news and the...
research
∙
09/09/2019
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations
Diachronic word embeddings offer remarkable insights into the evolution ...
research
∙
07/02/2019
How we do things with words: Analyzing text as social and cultural data
In this article we describe our experiences with computational text anal...
research
∙
06/08/2019
Clinical Concept Extraction for Document-Level Coding
The text of clinical notes can be a valuable source of patient informati...
research
∙
04/04/2019
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling
Contextualized word embeddings such as ELMo and BERT provide a foundatio...
research
∙
04/04/2019
Unsupervised Domain Adaptation of Contextualized Embeddings: A Case Study in Early Modern English
Contextualized word embeddings such as ELMo and BERT provide a foundatio...
research
∙
03/12/2019
Character Eyes: Seeing Language through Character-Level Taggers
Character-level models have been used extensively in recent years in NLP...
research
∙
02/05/2019
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution
We present a new architecture for storing and accessing entity mentions ...
research
∙
02/05/2019
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation
We consider the problem of making machine translation more robust to cha...
research
∙
09/18/2018
Mind Your POV: Convergence of Articles and Editors Towards Wikipedia's Neutrality Norm
Wikipedia has a strong norm of writing in a 'neutral point of view' (NPO...
research
∙
08/27/2018
Predicting Semantic Relations using Global Graph Properties
Semantic graphs, such as WordNet, are resources which curate natural lan...
research
∙
04/19/2018
Stylistic Variation in Social Media Part-of-Speech Tagging
Social media features substantial stylistic variation, raising new chall...
research
∙
04/13/2018
Sí o no, què penses? Catalonian Independence and Linguistic Identity on Social Media
Political identity is often manifested in language variation, but the re...
research
∙
02/16/2018
Discriminative Modeling of Social Influence for Prediction and Explanation in Event Cascades
The global dynamics of event cascades are often governed by the local dy...
research
∙
02/15/2018
Explainable Prediction of Medical Codes from Clinical Text
Clinical notes are text documents that are created by clinicians for eac...
research
∙
02/09/2018
Making "fetch" happen: The influence of social and linguistic context on nonstandard word growth and decline
In an online community, new words come and go: today's "haha" may be rep...
research
∙
12/04/2017
#anorexia, #anarexia, #anarexyia: Characterizing Online Community Practices with Orthographic Variation
Distinctive linguistic practices help communities build solidarity and d...
research
∙
07/21/2017
Mimicking Word Embeddings using Subword RNNs
Word embeddings improve generalization over lexical features by placing ...
research
∙
11/21/2016
Unsupervised Learning for Lexicon-Based Classification
In lexicon-based classification, documents are assigned labels by compar...
research
∙
09/07/2016
The Social Dynamics of Language Change in Online Networks
Language change is a complex social phenomenon, revealing pathways of co...
research
∙
08/03/2016
Morphological Priors for Probabilistic Neural Word Embeddings
Word embeddings allow natural language processing systems to share stati...
research
∙
06/14/2016
Shallow Discourse Parsing Using Distributed Argument Representations and Bayesian Optimization
This paper describes the Georgia Tech team's approach to the CoNLL-2016 ...
research
∙
03/10/2016
Part-of-Speech Tagging for Historical English
As more historical texts are digitized, there is interest in applying na...
research
∙
03/07/2016
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models
This paper presents a novel latent variable recurrent neural network arc...
research
∙
01/25/2016
A Kernel Independence Test for Geographical Language Variation
Quantifying the degree of spatial dependence for linguistic variables is...
research
∙
01/18/2016
Nonparametric Bayesian Storyline Detection from Microtexts
News events and social media are composed of evolving storylines, which ...
research
∙
11/19/2015
Overcoming Language Variation in Sentiment Analysis with Social Attention
Variation in language is ubiquitous, particularly in newer forms of writ...
research
∙
11/12/2015
Document Context Language Models
Text documents are structured on multiple levels of detail: individual w...
research
∙
10/28/2015
Emoticons vs. Emojis on Twitter: A Causal Inference Approach
Online writing lacks the non-verbal cues present in face-to-face communi...
research
∙
09/04/2015