Search Results for author: Angela Fan

Found 37 papers, 20 papers with code

Not All Memories are Created Equal: Learning to Forget by Expiring

1 code implementation13 May 2021 Sainbayar Sukhbaatar, Da Ju, Spencer Poff, Stephen Roller, Arthur Szlam, Jason Weston, Angela Fan

We demonstrate that Expire-Span can help models identify and retain critical information and show it can achieve strong performance on reinforcement learning tasks specifically designed to challenge this functionality.

Language Modelling

Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog

1 code implementation NAACL 2021 Arun Babu, Akshat Shrivastava, Armen Aghajanyan, Ahmed Aly, Angela Fan, Marjan Ghazvininejad

Semantic parsing using sequence-to-sequence models allows parsing of deeper representations compared to traditional word tagging based models.

Semantic Parsing

CycleDRUMS: Automatic Drum Arrangement For Bass Lines Using CycleGAN

no code implementations1 Apr 2021 Giorgio Barnabò, Giovanni Trappolini, Lorenzo Lastilla, Cesare Campagnano, Angela Fan, Fabio Petroni, Fabrizio Silvestri

The two main research threads in computer-based music generation are: the construction of autonomous music-making systems, and the design of computer-based environments to assist musicians.

Image-to-Image Translation Music Generation +1

Not All Memories are Created Equal: Learning to Expire

1 code implementation1 Jan 2021 Sainbayar Sukhbaatar, Da Ju, Spencer Poff, Stephen Roller, Arthur Szlam, Jason E Weston, Angela Fan

We demonstrate that Expire-Span can help models identify and retain critical information and show it can achieve state of the art results on long-context language modeling, reinforcement learning, and algorithmic tasks.

Language Modelling

Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA

no code implementations30 Dec 2020 Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Robin Jia, Yashar Mehdad, Srinivasan Iyer

While research on explaining predictions of open-domain QA systems (ODQA) to users is gaining momentum, most works have failed to evaluate the extent to which explanations improve user trust.

Facebook AI's WMT20 News Translation Task Submission

no code implementations16 Nov 2020 Peng-Jen Chen, Ann Lee, Changhan Wang, Naman Goyal, Angela Fan, Mary Williamson, Jiatao Gu

We approach the low resource problem using two main strategies, leveraging all available data and adapting the system to the target news domain.

Data Augmentation

Multilingual AMR-to-Text Generation

no code implementations EMNLP 2020 Angela Fan, Claire Gardent

Generating text from structured data is challenging because it requires bridging the gap between (i) structure and natural language (NL) and (ii) semantically underspecified input and fully specified NL output.

AMR-to-Text Generation Text Generation

Generating Fact Checking Briefs

no code implementations EMNLP 2020 Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel

Fact checking at scale is difficult -- while the number of active fact checking websites is growing, it remains too small for the needs of the contemporary media ecosystem.

Fact Checking Question Answering

Beyond English-Centric Multilingual Machine Translation

4 code implementations21 Oct 2020 Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Edouard Grave, Michael Auli, Armand Joulin

Existing work in translation demonstrated the potential of massively multilingual machine translation by training a single model able to translate between any pair of languages.

Machine Translation

Nearest Neighbor Machine Translation

1 code implementation ICLR 2021 Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis

We introduce $k$-nearest-neighbor machine translation ($k$NN-MT), which predicts tokens with a nearest neighbor classifier over a large datastore of cached examples, using representations from a neural translation model for similarity search.

Machine Translation

Multilingual Translation with Extensible Multilingual Pretraining and Finetuning

3 code implementations2 Aug 2020 Yuqing Tang, Chau Tran, Xi-An Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan

Recent work demonstrates the potential of multilingual pretraining of creating one model that can be used for various tasks in different languages.

Machine Translation

Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions

no code implementations22 Jun 2020 Stephen Roller, Y-Lan Boureau, Jason Weston, Antoine Bordes, Emily Dinan, Angela Fan, David Gunning, Da Ju, Margaret Li, Spencer Poff, Pratik Ringshia, Kurt Shuster, Eric Michael Smith, Arthur Szlam, Jack Urbanek, Mary Williamson

We present our view of what is necessary to build an engaging open-domain conversational agent: covering the qualities of such an agent, the pieces of the puzzle that have been built so far, and the gaping holes we have not filled yet.

Continual Learning

MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases

1 code implementation1 May 2020 Louis Martin, Angela Fan, Éric de la Clergerie, Antoine Bordes, Benoît Sagot

Progress in sentence simplification has been hindered by a lack of labeled parallel simplification data, particularly in languages other than English.

Parallel Corpus Mining Text Simplification

Multi-Dimensional Gender Bias Classification

no code implementations EMNLP 2020 Emily Dinan, Angela Fan, Ledell Wu, Jason Weston, Douwe Kiela, Adina Williams

We show our classifiers prove valuable for a variety of important applications, such as controlling for gender bias in generative models, detecting gender bias in arbitrary text, and shed light on offensive language in terms of genderedness.

General Classification

Augmenting Transformers with KNN-Based Composite Memory for Dialogue

no code implementations27 Apr 2020 Angela Fan, Claire Gardent, Chloe Braud, Antoine Bordes

Various machine learning tasks can benefit from access to external information of different modalities, such as text and images.

Training with Quantization Noise for Extreme Model Compression

3 code implementations ICLR 2021 Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Remi Gribonval, Herve Jegou, Armand Joulin

A standard solution is to train networks with Quantization Aware Training, where the weights are quantized during training and the gradients approximated with the Straight-Through Estimator.

Image Generation Model Compression

Generating Interactive Worlds with Text

no code implementations20 Nov 2019 Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktaschel, Arthur Szlam, Jason Weston

We show that the game environments created with our approach are cohesive, diverse, and preferred by human evaluators compared to other machine learning based world construction algorithms.

Common Sense Reasoning

Reducing Transformer Depth on Demand with Structured Dropout

3 code implementations ICLR 2020 Angela Fan, Edouard Grave, Armand Joulin

Overparameterized transformer networks have obtained state of the art results in various natural language processing tasks, such as machine translation, language modeling, and question answering.

Language Modelling Machine Translation +1

ELI5: Long Form Question Answering

1 code implementation ACL 2019 Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, Michael Auli

We introduce the first large-scale corpus for long-form question answering, a task requiring elaborate and in-depth answers to open-ended questions.

Language Modelling Question Answering

GLOSS: Generative Latent Optimization of Sentence Representations

1 code implementation15 Jul 2019 Sidak Pal Singh, Angela Fan, Michael Auli

Both are trained to reconstruct the sentence based on a latent code and our model can be used to generate text.

Sentence Embedding

Generative Question Answering: Learning to Answer the Whole Question

no code implementations ICLR 2019 Mike Lewis, Angela Fan

Discriminative question answering models can overfit to superficial biases in datasets, because their loss function saturates when any clue makes the answer likely.

Generative Question Answering Language Modelling

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

5 code implementations NAACL 2019 Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli

fairseq is an open-source sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling, and other text generation tasks.

Language Modelling Text Generation

Learning to Speak and Act in a Fantasy Text Adventure Game

no code implementations IJCNLP 2019 Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston

We analyze the ingredients necessary for successful grounding in this setting, and how each of these factors relate to agents that can talk and act successfully.


Strategies for Structuring Story Generation

no code implementations ACL 2019 Angela Fan, Mike Lewis, Yann Dauphin

Writers generally rely on plans or sketches to write long stories, but most current language models generate word by word from left to right.

Text Generation

Wizard of Wikipedia: Knowledge-Powered Conversational agents

2 code implementations ICLR 2019 Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli, Jason Weston

In open-domain dialogue intelligent agents should exhibit the use of knowledge, however there are few convincing demonstrations of this to date.

Dialogue Generation

Hierarchical Neural Story Generation

6 code implementations ACL 2018 Angela Fan, Mike Lewis, Yann Dauphin

We explore story generation: creative systems that can build coherent and fluent passages of text about a topic.

Controllable Abstractive Summarization

no code implementations WS 2018 Angela Fan, David Grangier, Michael Auli

Current models for document summarization disregard user preferences such as the desired length, style, the entities that the user might be interested in, or how much of the document the user has already read.

Abstractive Text Summarization Document Summarization

Prior matters: simple and general methods for evaluating and improving topic quality in topic modeling

no code implementations12 Jan 2017 Angela Fan, Finale Doshi-Velez, Luke Miratrix

In this work, we first show how the standard topic quality measures of coherence and pointwise mutual information act counter-intuitively in the presence of common but irrelevant words, making it difficult to even quantitatively identify situations in which topics may be dominated by stopwords.

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