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11/10/2020
Generating Fact Checking Briefs
Fact checking at scale is difficult – while the number of active fact ch...
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06/22/2020
Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions
We present our view of what is necessary to build an engaging open-domai...
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05/01/2020
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
In order to simplify a sentence, human editors perform multiple rewritin...
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05/01/2020
Multilingual Unsupervised Sentence Simplification
Progress in Sentence Simplification has been hindered by the lack of sup...
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04/27/2020
Augmenting Transformers with KNN-Based Composite Memory for Dialogue
Various machine learning tasks can benefit from access to external infor...
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10/18/2019
Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs
Query-based open-domain NLP tasks require information synthesis from lon...
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10/07/2019
Controllable Sentence Simplification
Text simplification aims at making a text easier to read and understand ...
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01/30/2019
Reference-less Quality Estimation of Text Simplification Systems
The evaluation of text simplification (TS) systems remains an open chall...
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01/16/2019
Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
The majority of conversations a dialogue agent sees over its lifetime oc...
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11/02/2018
Engaging Image Chat: Modeling Personality in Grounded Dialogue
To achieve the long-term goal of machines being able to engage humans in...
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10/25/2018
Engaging Image Captioning Via Personality
Standard image captioning tasks such as COCO and Flickr30k are factual, ...
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09/06/2018
Training Millions of Personalized Dialogue Agents
Current dialogue systems are not very engaging for users, especially whe...
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04/27/2018
Weaver: Deep Co-Encoding of Questions and Documents for Machine Reading
This paper aims at improving how machines can answer questions directly ...
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04/03/2018
DeSIGN: Design Inspiration from Generative Networks
Can an algorithm create original and compelling fashion designs to serve...
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09/12/2017
StarSpace: Embed All The Things!
We present StarSpace, a general-purpose neural embedding model that can ...
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06/01/2017
Fader Networks: Manipulating Images by Sliding Attributes
This paper introduces a new encoder-decoder architecture that is trained...
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05/18/2017
ParlAI: A Dialog Research Software Platform
We introduce ParlAI (pronounced "par-lay"), an open-source software plat...
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05/05/2017
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Many modern NLP systems rely on word embeddings, previously trained in a...
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03/31/2017
Reading Wikipedia to Answer Open-Domain Questions
This paper proposes to tackle open- domain question answering using Wiki...
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12/12/2016
Tracking the World State with Recurrent Entity Networks
We introduce a new model, the Recurrent Entity Network (EntNet). It is e...
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06/09/2016
Key-Value Memory Networks for Directly Reading Documents
Directly reading documents and being able to answer questions from them ...
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05/24/2016
Learning End-to-End Goal-Oriented Dialog
Traditional dialog systems used in goal-oriented applications require a ...
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11/21/2015
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems
A long-term goal of machine learning is to build intelligent conversatio...
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11/07/2015
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
We introduce a new test of how well language models capture meaning in c...
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06/02/2015
Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases
This paper tackles the problem of endogenous link prediction for Knowled...
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02/19/2015
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
One long-term goal of machine learning research is to produce methods th...
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10/15/2014
Memory Networks
We describe a new class of learning models called memory networks. Memor...
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07/19/2011
