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05/03/2023
The Benefits of Label-Description Training for Zero-Shot Text Classification
Large language models have improved zero-shot text classification by all...
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05/17/2022
"What makes a question inquisitive?" A Study on Type-Controlled Inquisitive Question Generation
We propose a type-controlled framework for inquisitive question generati...
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12/16/2021
Reconsidering the Past: Optimizing Hidden States in Language Models
We present Hidden-State Optimization (HSO), a gradient-based method for ...
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10/16/2021
Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing
We present substructure distribution projection (SubDP), a technique tha...
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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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09/18/2021
TVRecap: A Dataset for Generating Stories with Character Descriptions
We introduce TVRecap, a story generation dataset that requires generatin...
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04/30/2021
Paraphrastic Representations at Scale
We present a system that allows users to train their own state-of-the-ar...
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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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01/02/2021
Substructure Substitution: Structured Data Augmentation for NLP
We study a family of data augmentation methods, substructure substitutio...
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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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12/08/2020
Unsupervised Label Refinement Improves Dataless Text Classification
Dataless text classification is capable of classifying documents into pr...
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10/24/2020
Clustering Contextualized Representations of Text for Unsupervised Syntax Induction
We explore clustering of contextualized text representations for two uns...
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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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10/08/2020
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference
While discriminative neural network classifiers are generally preferred,...
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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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10/06/2020
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks
Many tasks in natural language processing involve predicting structured ...
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10/06/2020
On the Role of Supervision in Unsupervised Constituency Parsing
We analyze several recent unsupervised constituency parsing models, whic...
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10/03/2020
Mining Knowledge for Natural Language Inference from Wikipedia Categories
Accurate lexical entailment (LE) and natural language inference (NLI) of...
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09/29/2020
Natcat: Weakly Supervised Text Classification with Naturally Annotated Datasets
We seek to improve text classification by leveraging naturally annotated...
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08/16/2020
Adding Recurrence to Pretrained Transformers for Improved Efficiency and Context Size
Fine-tuning a pretrained transformer for a downstream task has become a ...
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06/06/2020
A Cross-Task Analysis of Text Span Representations
Many natural language processing (NLP) tasks involve reasoning with text...
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05/16/2020
Learning Probabilistic Sentence Representations from Paraphrases
Probabilistic word embeddings have shown effectiveness in capturing noti...
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05/06/2020
PeTra: A Sparsely Supervised Memory Model for People Tracking
We propose PeTra, a memory-augmented neural network designed to track en...
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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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11/21/2019
How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions
We present a large-scale dataset for the task of rewriting an ill-formed...
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11/07/2019
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks
Deep energy-based models are powerful, but pose challenges for learning ...
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10/01/2019
Latent-Variable Generative Models for Data-Efficient Text Classification
Generative classifiers offer potential advantages over their discriminat...
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09/30/2019
Simple and Effective Paraphrastic Similarity from Parallel Translations
We present a model and methodology for learning paraphrastic sentence em...
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09/30/2019
Generating Diverse Story Continuations with Controllable Semantics
We propose a simple and effective modeling framework for controlled gene...
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09/26/2019
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Increasing model size when pretraining natural language representations ...
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09/14/2019
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity
While most neural machine translation (NMT) systems are still trained us...
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08/31/2019
Evaluation Benchmarks and Learning Criteriafor Discourse-Aware Sentence Representations
Prior work on pretrained sentence embeddings and benchmarks focus on the...
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08/31/2019
EntEval: A Holistic Evaluation Benchmark for Entity Representations
Rich entity representations are useful for a wide class of problems invo...
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06/23/2019
Variational Sequential Labelers for Semi-Supervised Learning
We introduce a family of multitask variational methods for semi-supervis...
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06/23/2019
Smaller Text Classifiers with Discriminative Cluster Embeddings
Word embedding parameters often dominate overall model sizes in neural m...
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06/07/2019
Visually Grounded Neural Syntax Acquisition
We present the Visually Grounded Neural Syntax Learner (VG-NSL), an appr...
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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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04/05/2019
PoMo: Generating Entity-Specific Post-Modifiers in Context
We introduce entity post-modifier generation as an instance of a collabo...
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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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04/01/2019
Benchmarking Approximate Inference Methods for Neural Structured Prediction
Exact structured inference with neural network scoring functions is comp...
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10/28/2018
Learning Criteria and Evaluation Metrics for Textual Transfer between Non-Parallel Corpora
We consider the problem of automatically generating textual paraphrases ...
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04/17/2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
We propose syntactically controlled paraphrase networks (SCPNs) and use ...
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03/09/2018
Learning Approximate Inference Networks for Structured Prediction
Structured prediction energy networks (SPENs; Belanger & McCallum 2016) ...
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02/14/2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise
The growing importance of massive datasets with the advent of deep learn...
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11/15/2017
Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations
We extend the work of Wieting et al. (2017), back-translating a large pa...
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10/28/2017
A Study of All-Convolutional Encoders for Connectionist Temporal Classification
Connectionist temporal classification (CTC) is a popular sequence predic...
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08/01/2017
End-to-End Neural Segmental Models for Speech Recognition
Segmental models are an alternative to frame-based models for sequence p...
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06/09/2017
Learning to Embed Words in Context for Syntactic Tasks
We present models for embedding words in the context of surrounding word...
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06/06/2017
