2.7k citations · 4.5k across the 19 of their papers we have counts for
5 papers · 1 filter
Deep Learning for Answer Sentence Selection
Lei Yu, Karl Moritz Hermann, Phil Blunsom +1
Answer sentence selection is the task of identifying sentences that contain the answer to a given question. This is an important problem in its own right as well as in the larger c…
Distributed Representations for Compositional Semantics
Karl Moritz Hermann
The mathematical representation of semantics is a key issue for Natural Language Processing (NLP). A lot of research has been devoted to finding ways of representing the semantics…
Learning Bilingual Word Representations by Marginalizing Alignments
Tomáš Kočiský, Karl Moritz Hermann, Phil Blunsom
We present a probabilistic model that simultaneously learns alignments and distributed representations for bilingual data. By marginalizing over word alignments the model captures…
A Deep Architecture for Semantic Parsing
Edward Grefenstette, Phil Blunsom, Nando de Freitas +1
Many successful approaches to semantic parsing build on top of the syntactic analysis of text, and make use of distributional representations or statistical models to match parses…
Multilingual Models for Compositional Distributed Semantics
Karl Moritz Hermann, Phil Blunsom
We present a novel technique for learning semantic representations, which extends the distributional hypothesis to multilingual data and joint-space embeddings. Our models leverage…