3.1k citations · 5k across the 42 of their papers we have counts for
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Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent
Zhilin Yang, Saizheng Zhang, Jack Urbanek +5
Contrary to most natural language processing research, which makes use of static datasets, humans learn language interactively, grounded in an environment. In this work we propose…
Emergent Translation in Multi-Agent Communication
Jason Lee, Kyunghyun Cho, Jason Weston +1
While most machine translation systems to date are trained on large parallel corpora, humans learn language in a different way: by being grounded in an environment and interacting…
Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection
Marek Rei, Luana Bulat, Douwe Kiela +1
The ubiquity of metaphor in our everyday communication makes it an important problem for natural language understanding. Yet, the majority of metaphor processing systems to date re…
Learning Visually Grounded Sentence Representations
Douwe Kiela, Alexis Conneau, Allan Jabri +1
We introduce a variety of models, trained on a supervised image captioning corpus to predict the image features for a given caption, to perform sentence representation grounding. W…
Poincaré Embeddings for Learning Hierarchical Representations
Maximilian Nickel, Douwe Kiela
Representation learning has become an invaluable approach for learning from symbolic data such as text and graphs. However, while complex symbolic datasets often exhibit a latent h…
Emergent Communication in a Multi-Modal, Multi-Step Referential Game
Katrina Evtimova, Andrew Drozdov, Douwe Kiela +1
Inspired by previous work on emergent communication in referential games, we propose a novel multi-modal, multi-step referential game, where the sender and receiver have access to…
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Alexis Conneau, Douwe Kiela, Holger Schwenk +2
Many modern NLP systems rely on word embeddings, previously trained in an unsupervised manner on large corpora, as base features. Efforts to obtain embeddings for larger chunks of…