activity
20162021
most citedRetrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

3.1k citations · 5k across the 42 of their papers we have counts for

collaborators
Showing 2018Show all

8 papers · 1 filter

cs.CL2018

Jump to better conclusions: SCAN both left and right

Jasmijn Bastings, Marco Baroni, Jason Weston +2

Lake and Baroni (2018) recently introduced the SCAN data set, which consists of simple commands paired with action sequences and is intended to test the strong generalization abili…

cs.AI2018★ 61 cited

Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry

Maximilian Nickel, Douwe Kiela

We are concerned with the discovery of hierarchical relationships from large-scale unstructured similarity scores. For this purpose, we study different models of hyperbolic space a…

cs.AI2018

Talk the Walk: Navigating New York City through Grounded Dialogue

Harm de Vries, Kurt Shuster, Dhruv Batra +3

We introduce "Talk The Walk", the first large-scale dialogue dataset grounded in action and perception. The task involves two agents (a "guide" and a "tourist") that communicate vi…

cs.CL2018★ 4 cited

Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora

Stephen Roller, Douwe Kiela, Maximilian Nickel

Methods for unsupervised hypernym detection may broadly be categorized according to two paradigms: pattern-based and distributional methods. In this paper, we study the performance…

cs.CL2018★ 8 cited

Dynamic Meta-Embeddings for Improved Sentence Representations

Douwe Kiela, Changhan Wang, Kyunghyun Cho

While one of the first steps in many NLP systems is selecting what pre-trained word embeddings to use, we argue that such a step is better left for neural networks to figure out by…

cs.CL2018★ 344 cited

SentEval: An Evaluation Toolkit for Universal Sentence Representations

Alexis Conneau, Douwe Kiela

We introduce SentEval, a toolkit for evaluating the quality of universal sentence representations. SentEval encompasses a variety of tasks, including binary and multi-class classif…

cs.CL2018★ 35 cited

Efficient Large-Scale Multi-Modal Classification

D. Kiela, E. Grave, A. Joulin +1

While the incipient internet was largely text-based, the modern digital world is becoming increasingly multi-modal. Here, we examine multi-modal classification where one modality i…

cs.AI2018★ 193 cited

Personalizing Dialogue Agents: I have a dog, do you have pets too?

Saizheng Zhang, Emily Dinan, Jack Urbanek +3

Chit-chat models are known to have several problems: they lack specificity, do not display a consistent personality and are often not very captivating. In this work we present the…