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01/22/2023
Learning to Reject with a Fixed Predictor: Application to Decontextualization
We study the problem of classification with a reject option for a fixed ...
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11/22/2022
Coreference Resolution through a seq2seq Transition-Based System
Most recent coreference resolution systems use search algorithms over po...
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11/16/2022
Towards Computationally Verifiable Semantic Grounding for Language Models
The paper presents an approach to semantic grounding of language models ...
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10/31/2022
Query Refinement Prompts for Closed-Book Long-Form Question Answering
Large language models (LLMs) have been shown to perform well in answerin...
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10/17/2022
Improving Low-Resource Cross-lingual Parsing with Expected Statistic Regularization
We present Expected Statistic Regularization (ESR), a novel regularizati...
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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 ...
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03/28/2022
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation
We propose Composition Sampling, a simple but effective method to genera...
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12/23/2021
Measuring Attribution in Natural Language Generation Models
With recent improvements in natural language generation (NLG) models for...
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08/16/2021
Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss
We study learning named entity recognizers in the presence of missing en...
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05/20/2021
On planetary systems as ordered sequences
A planetary system consists of a host star and one or more planets, arra...
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02/09/2021
Decontextualization: Making Sentences Stand-Alone
Models for question answering, dialogue agents, and summarization often ...
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01/01/2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
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12/01/2020
Evaluating Explanations: How much do explanations from the teacher aid students?
While many methods purport to explain predictions by highlighting salien...
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09/08/2020
QED: A Framework and Dataset for Explanations in Question Answering
A question answering system that in addition to providing an answer prov...
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05/01/2020
Sparse, Dense, and Attentional Representations for Text Retrieval
Dual encoder architectures perform retrieval by encoding documents and q...
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03/10/2020
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
Confidently making progress on multilingual modeling requires challengin...
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08/14/2019
Fusion of Detected Objects in Text for Visual Question Answering
To advance models of multimodal context, we introduce a simple yet power...
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06/12/2019
Synthetic QA Corpora Generation with Roundtrip Consistency
We introduce a novel method of generating synthetic question answering c...
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05/24/2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
In this paper we study yes/no questions that are naturally occurring ---...
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03/13/2019
Low-Resource Syntactic Transfer with Unsupervised Source Reordering
We describe a cross-lingual transfer method for dependency parsing that ...
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01/24/2019
A BERT Baseline for the Natural Questions
This technical note describes a new baseline for the Natural Questions. ...
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11/05/2018
Improving Span-based Question Answering Systems with Coarsely Labeled Data
We study approaches to improve fine-grained short answer Question Answer...
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09/06/2018
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency
Noise Contrastive Estimation (NCE) is a powerful parameter estimation me...
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03/15/2017
SyntaxNet Models for the CoNLL 2017 Shared Task
We describe a baseline dependency parsing system for the CoNLL2017 Share...
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01/13/2017
Kernel Approximation Methods for Speech Recognition
We study large-scale kernel methods for acoustic modeling in speech reco...
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10/19/2016
Cross-Lingual Syntactic Transfer with Limited Resources
We describe a simple but effective method for cross-lingual syntactic tr...
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03/19/2016
Globally Normalized Transition-Based Neural Networks
We introduce a globally normalized transition-based neural network model...
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03/18/2016
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition
We study large-scale kernel methods for acoustic modeling and compare to...
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06/19/2015
Structured Training for Neural Network Transition-Based Parsing
We present structured perceptron training for neural network transition-...
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04/24/2015
Learning Dictionaries for Named Entity Recognition using Minimal Supervision
This paper describes an approach for automatic construction of dictionar...
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11/14/2014
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets
The computational complexity of kernel methods has often been a major ba...
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01/23/2014
A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing
Dual decomposition, and more generally Lagrangian relaxation, is a class...
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07/11/2012