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05/23/2023
BM25 Query Augmentation Learned End-to-End
Given BM25's enduring competitiveness as an information retrieval baseli...
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05/03/2023
Approximating CKY with Transformers
We investigate the ability of transformer models to approximate the CKY ...
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11/10/2022
CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing
This paper introduces the shared task of summarizing documents in severa...
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09/20/2021
On Generalization in Coreference Resolution
While coreference resolution is defined independently of dataset domain,...
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04/14/2021
SummScreen: A Dataset for Abstractive Screenplay Summarization
We introduce SummScreen, a summarization dataset comprised of pairs of T...
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02/26/2021
Learning Chess Blindfolded: Evaluating Language Models on State Tracking
Transformer language models have made tremendous strides in natural lang...
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01/20/2021
Generating (Formulaic) Text by Splicing Together Nearest Neighbors
We propose to tackle conditional text generation tasks, especially those...
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12/29/2020
Generating Wikipedia Article Sections from Diverse Data Sources
Datasets for data-to-text generation typically focus either on multi-dom...
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10/12/2020
Controllable Paraphrasing and Translation with a Syntactic Exemplar
Most prior work on exemplar-based syntactically controlled paraphrase ge...
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10/06/2020
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks
Long document coreference resolution remains a challenging task due to t...
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06/11/2020
Discrete Latent Variable Representations for Low-Resource Text Classification
While much work on deep latent variable models of text uses continuous l...
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05/02/2020
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
We propose to train a non-autoregressive machine translation model to mi...
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04/08/2020
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information
We propose learning discrete structured representations from unlabeled d...
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06/14/2019
Amortized Bethe Free Energy Minimization for Learning MRFs
We propose to learn deep undirected graphical models (i.e., MRFs), with ...
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06/10/2019
Label-Agnostic Sequence Labeling by Copying Nearest Neighbors
Retrieve-and-edit based approaches to structured prediction, where struc...
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06/03/2019
Controllable Paraphrase Generation with a Syntactic Exemplar
Prior work on controllable text generation usually assumes that the cont...
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04/02/2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations
We propose a generative model for a sentence that uses two latent variab...
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12/17/2018
A Tutorial on Deep Latent Variable Models of Natural Language
There has been much recent, exciting work on combining the complementary...
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10/05/2018
Entity Tracking Improves Cloze-style Reading Comprehension
Reading comprehension tasks test the ability of models to process long-t...
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08/30/2018
Learning Neural Templates for Text Generation
While neural, encoder-decoder models have had significant empirical succ...
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02/07/2018
Semi-Amortized Variational Autoencoders
Amortized variational inference (AVI) replaces instance-specific local i...
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07/25/2017
Challenges in Data-to-Document Generation
Recent neural models have shown significant progress on the problem of g...
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02/15/2017
Training Language Models Using Target-Propagation
While Truncated Back-Propagation through Time (BPTT) is the most popular...
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06/09/2016
Sequence-to-Sequence Learning as Beam-Search Optimization
Sequence-to-Sequence (seq2seq) modeling has rapidly become an important ...
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04/11/2016