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06/21/2023
Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference
We view large language models (LLMs) as stochastic language layers in a ...
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03/16/2023
Investigating Failures to Generalize for Coreference Resolution Models
Coreference resolution models are often evaluated on multiple datasets. ...
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12/15/2022
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources in Natural Language Understanding Systems
Many state-of-the-art natural language understanding (NLU) models are ba...
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05/13/2022
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications
There are many ways to express similar things in text, which makes evalu...
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04/20/2021
Modeling Event Plausibility with Consistent Conceptual Abstraction
Understanding natural language requires common sense, one aspect of whic...
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11/09/2020
An Analysis of Dataset Overlap on Winograd-Style Tasks
The Winograd Schema Challenge (WSC) and variants inspired by it have bec...
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10/08/2020
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Given a simple request (e.g., Put a washed apple in the kitchen fridge),...
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09/22/2020
An Empirical Study on Neural Keyphrase Generation
Recent years have seen a flourishing of neural keyphrase generation work...
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05/02/2020
Exploring and Predicting Transferability across NLP Tasks
Recent advances in NLP demonstrate the effectiveness of training large-s...
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04/29/2020
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning
In this work, we aim at equipping pre-trained language models with struc...
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04/19/2020
Role-Wise Data Augmentation for Knowledge Distillation
Knowledge Distillation (KD) is a common method for transferring the “kno...
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02/21/2020
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games
Playing text-based games requires skill in processing natural language a...
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10/21/2019
Building Dynamic Knowledge Graphs from Text-based Games
We are interested in learning how to update Knowledge Graphs (KG) from t...
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09/09/2019
Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence
Recently, concatenating multiple keyphrases as a target sequence has bee...
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08/28/2019
Interactive Language Learning by Question Answering
Humans observe and interact with the world to acquire knowledge. However...
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08/27/2019
Interactive Machine Comprehension with Information Seeking Agents
Existing machine reading comprehension (MRC) models do not scale effecti...
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07/23/2019
Metalearned Neural Memory
We augment recurrent neural networks with an external memory mechanism t...
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06/21/2019
A Study of State Aliasing in Structured Prediction with RNNs
End-to-end reinforcement learning agents learn a state representation an...
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12/12/2018
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Inspired by the phenomenon of catastrophic forgetting, we investigate th...
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11/05/2018
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding
The NLP and ML communities have long been interested in developing model...
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11/02/2018
The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
We introduce a new benchmark task for coreference resolution, Hard-CoRe,...
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10/12/2018
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
We propose a neural machine-reading model that constructs dynamic knowle...
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10/11/2018
Generating Diverse Numbers of Diverse Keyphrases
Existing keyphrase generation studies suffer from the problems of genera...
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10/02/2018
A Knowledge Hunting Framework for Common Sense Reasoning
We introduce an automatic system that achieves state-of-the-art results ...
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08/20/2018
Learning deep representations by mutual information estimation and maximization
Many popular representation-learning algorithms use training objectives ...
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07/12/2018
Metalearning with Hebbian Fast Weights
We unify recent neural approaches to one-shot learning with older ideas ...
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06/29/2018
TextWorld: A Learning Environment for Text-based Games
We introduce TextWorld, a sandbox learning environment for the training ...
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06/29/2018
Counting to Explore and Generalize in Text-based Games
We propose a recurrent RL agent with an episodic exploration mechanism t...
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06/12/2018
Focused Hierarchical RNNs for Conditional Sequence Processing
Recurrent Neural Networks (RNNs) with attention mechanisms have obtained...
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03/30/2018
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
A lot of the recent success in natural language processing (NLP) has bee...
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12/28/2017
Rapid Adaptation with Conditionally Shifted Neurons
We describe a mechanism by which artificial neural networks can learn ra...
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12/28/2017
Learning Rapid-Temporal Adaptations
A hallmark of human intelligence and cognition is its flexibility. One o...
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11/28/2017
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models
We investigate the integration of a planning mechanism into sequence-to-...
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11/15/2017
Variational Bi-LSTMs
Recurrent neural networks like long short-term memory (LSTM) are importa...
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10/19/2017
FigureQA: An Annotated Figure Dataset for Visual Reasoning
We introduce FigureQA, a visual reasoning corpus of over one million que...
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06/14/2017
Neural Models for Key Phrase Detection and Question Generation
We propose a two-stage neural model to tackle question generation from d...
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06/13/2017
Plan, Attend, Generate: Character-level Neural Machine Translation with Planning in the Decoder
We investigate the integration of a planning mechanism into an encoder-d...
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06/05/2017
A Joint Model for Question Answering and Question Generation
We propose a generative machine comprehension model that learns jointly ...
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05/04/2017
Machine Comprehension by Text-to-Text Neural Question Generation
We propose a recurrent neural model that generates natural-language ques...
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11/29/2016
NewsQA: A Machine Comprehension Dataset
We present NewsQA, a challenging machine comprehension dataset of over 1...
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06/07/2016
Natural Language Comprehension with the EpiReader
We present the EpiReader, a novel model for machine comprehension of tex...
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06/07/2016
Iterative Alternating Neural Attention for Machine Reading
We propose a novel neural attention architecture to tackle machine compr...
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03/29/2016
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data
Understanding unstructured text is a major goal within natural language ...
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12/17/2015
