Jacob Eisenstein

research

∙ 05/24/2023

Selectively Answering Ambiguous Questions

Trustworthy language models should abstain from answering questions when...

0 Jeremy R. Cole, et al. ∙

research

∙ 05/19/2023

MD3: The Multi-Dialect Dataset of Dialogues

We introduce a new dataset of conversational speech representing English...

0 Jacob Eisenstein, et al. ∙

research

∙ 11/02/2022

Dialect-robust Evaluation of Generated Text

Evaluation metrics that are not robust to dialect variation make it impo...

0 Jiao Sun, et al. ∙

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...

0 Sandeep Soni, et al. ∙

research

∙ 10/20/2022

Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification

Implicit discourse relations bind smaller linguistic units into coherent...

0 Murali Raghu Babu Balusu, et al. ∙

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 ...

0 Jacob Eisenstein, et al. ∙

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...

0 Jacob Eisenstein, et al. ∙

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...

55 Amir Feder, et al. ∙

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...

0 Yuval Pinter, et al. ∙

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...

0 Iulia Turc, et al. ∙

research

∙ 06/30/2021

The MultiBERTs: BERT Reproductions for Robustness Analysis

Experiments with pretrained models such as BERT are often based on a sin...

0 Thibault Sellam, et al. ∙

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 ...

0 Bhuwan Dhingra, et al. ∙

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...

0 Victor Veitch, et al. ∙

research

∙ 03/12/2021

Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers

The abolitionist movement of the nineteenth-century United States remain...

0 Sandeep Soni, et al. ∙

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 ...

5 Ian Stewart, et al. ∙

research

∙ 11/06/2020

Underspecification Presents Challenges for Credibility in Modern Machine Learning

ML models often exhibit unexpectedly poor behavior when they are deploye...

30 Alexander D'Amour, et al. ∙

research

∙ 10/23/2020

Learning to Recognize Dialect Features

Linguists characterize dialects by the presence, absence, and frequency ...

1 Dorottya Demszky, et al. ∙

research

∙ 09/18/2020

Will it Unblend?

Natural language processing systems often struggle with out-of-vocabular...

12 Yuval Pinter, et al. ∙

research

∙ 06/21/2020

AdvAug: Robust Adversarial Augmentation for Neural Machine Translation

In this paper, we propose a new adversarial augmentation method for Neur...

0 Yong Cheng, et al. ∙

research

∙ 05/01/2020

Sparse, Dense, and Attentional Representations for Text Retrieval

Dual encoder architectures perform retrieval by encoding documents and q...

0 Yi Luan, et al. ∙

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...

0 Ian Stewart, et al. ∙

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 ...

0 Sandeep Soni, et al. ∙

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...

0 Dong Nguyen, et al. ∙

research

∙ 06/08/2019

Clinical Concept Extraction for Document-Level Coding

The text of clinical notes can be a valuable source of patient informati...

0 Sarah Wiegreffe, et al. ∙

research

∙ 04/04/2019

Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling

Contextualized word embeddings such as ELMo and BERT provide a foundatio...

0 Xiaochuang Han, et al. ∙

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...

0 Xiaochuang Han, et al. ∙

research

∙ 03/12/2019

Character Eyes: Seeing Language through Character-Level Taggers

Character-level models have been used extensively in recent years in NLP...

0 Yuval Pinter, et al. ∙

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 ...

0 Fei Liu, et al. ∙

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...

0 Vladimir Karpukhin, et al. ∙

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...

0 Umashanthi Pavalanathan, et al. ∙

research

∙ 08/27/2018

Predicting Semantic Relations using Global Graph Properties

Semantic graphs, such as WordNet, are resources which curate natural lan...

0 Yuval Pinter, et al. ∙

research

∙ 04/19/2018

Stylistic Variation in Social Media Part-of-Speech Tagging

Social media features substantial stylistic variation, raising new chall...

0 Murali Raghu Babu Balusu, et al. ∙

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...

0 Ian Stewart, et al. ∙

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...

0 Sandeep Soni, et al. ∙

research

∙ 02/15/2018

Explainable Prediction of Medical Codes from Clinical Text

Clinical notes are text documents that are created by clinicians for eac...

0 James Mullenbach, et al. ∙

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...

0 Ian Stewart, et al. ∙

research

∙ 12/04/2017

#anorexia, #anarexia, #anarexyia: Characterizing Online Community Practices with Orthographic Variation

Distinctive linguistic practices help communities build solidarity and d...

0 Ian Stewart, et al. ∙

research

∙ 07/21/2017

Mimicking Word Embeddings using Subword RNNs

Word embeddings improve generalization over lexical features by placing ...

0 Yuval Pinter, et al. ∙

research

∙ 11/21/2016

Unsupervised Learning for Lexicon-Based Classification

In lexicon-based classification, documents are assigned labels by compar...

0 Jacob Eisenstein, et al. ∙

research

∙ 09/07/2016

The Social Dynamics of Language Change in Online Networks

Language change is a complex social phenomenon, revealing pathways of co...

0 Rahul Goel, et al. ∙

research

∙ 08/03/2016

Morphological Priors for Probabilistic Neural Word Embeddings

Word embeddings allow natural language processing systems to share stati...

0 Parminder Bhatia, et al. ∙

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 ...

0 Akanksha, et al. ∙

research

∙ 03/10/2016

Part-of-Speech Tagging for Historical English

As more historical texts are digitized, there is interest in applying na...

0 Yi Yang, et al. ∙

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...

0 Yangfeng Ji, et al. ∙

research

∙ 01/25/2016

A Kernel Independence Test for Geographical Language Variation

Quantifying the degree of spatial dependence for linguistic variables is...

0 Dong Nguyen, et al. ∙

research

∙ 01/18/2016

Nonparametric Bayesian Storyline Detection from Microtexts

News events and social media are composed of evolving storylines, which ...

0 Vinodh Krishnan, et al. ∙

research

∙ 11/19/2015

Overcoming Language Variation in Sentiment Analysis with Social Attention

Variation in language is ubiquitous, particularly in newer forms of writ...

0 Yi Yang, et al. ∙

research

∙ 11/12/2015

Document Context Language Models

Text documents are structured on multiple levels of detail: individual w...

0 Yangfeng Ji, et al. ∙

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...

0 Umashanthi Pavalanathan, et al. ∙

research

∙ 09/04/2015

Better Document-level Sentiment Analysis from RST Discourse Parsing

Discourse structure is the hidden link between surface features and docu...

0 Parminder Bhatia, et al. ∙

Jacob Eisenstein

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