John Wieting

Jonathan H. Clark

CoRR, 2023

A Gold Standard Dataset for the Reviewer Assignment Problem.

[BibT_eX]

[DOI]

CoRR, 2023

Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Evaluating and Modeling Attribution for Cross-Lingual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

QA Is the New KR: Question-Answer Pairs as Knowledge Bases.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2022

Paraphrastic Representations at Scale.

[BibT_eX]

[DOI]

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RankGen: Improving Text Generation with Large Ranking Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization.

[BibT_eX]

[DOI]

Yue Dong

Pat Verga

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

On The Ingredients of an Effective Zero-shot Semantic Parser.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs.

[BibT_eX]

[DOI]

CoRR, 2021

On Learning Text Style Transfer with Direct Rewards.

[BibT_eX]

[DOI]

Yixin Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Improving Candidate Generation for Low-resource Cross-lingual Entity Linking.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2020

A Bilingual Generative Transformer for Semantic Sentence Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Reformulating Unsupervised Style Transfer as Paraphrase Generation.

[BibT_eX]

[DOI]

Kalpesh Krishna

Mohit Iyyer

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

No Training Required: Exploring Random Encoders for Sentence Classification.

[BibT_eX]

[DOI]

Douwe Kiela

Proceedings of the 7th International Conference on Learning Representations, 2019

Simple and Effective Paraphrastic Similarity from Parallel Translations.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Beyond BLEU: Training Neural Machine Translation with Semantic Similarity.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Quality Signals in Generated Stories.

[BibT_eX]

[DOI]

Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

Adversarial Example Generation with Syntactically Controlled Paraphrase Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

CogCompNLP: Your Swiss Army Knife for NLP.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations.

[BibT_eX]

[DOI]

CoRR, 2017

Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext.

[BibT_eX]

[DOI]

Jonathan Mallinson

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Towards Universal Paraphrastic Sentence Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Learning Representations, 2016

UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement.

[BibT_eX]

[DOI]

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Charagram: Embedding Words and Sentences via Character n-grams.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

From Paraphrase Database to Compositional Paraphrase Model and Back.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2015

Clustering With Side Information: From a Probabilistic Model to a Deterministic Algorithm.

[BibT_eX]

[DOI]

CoRR, 2015

2014

Tiered Clustering to Improve Lexical Entailment.

[BibT_eX]

[DOI]