398 citations · 2.8k across the 98 of their papers we have counts for
4 papers · 1 filter
Word Representations via Gaussian Embedding
Luke Vilnis, Andrew McCallum
Current work in lexical distributed representations maps each word to a point vector in low-dimensional space. Mapping instead to a density provides many interesting advantages, in…
Training for Fast Sequential Prediction Using Dynamic Feature Selection
Emma Strubell, Luke Vilnis, Andrew McCallum
We present paired learning and inference algorithms for significantly reducing computation and increasing speed of the vector dot products in the classifiers that are at the heart…
Lexicon Infused Phrase Embeddings for Named Entity Resolution
Alexandre Passos, Vineet Kumar, Andrew McCallum
Most state-of-the-art approaches for named-entity recognition (NER) use semi supervised information in the form of word clusters and lexicons. Recently neural network-based languag…
Learning Soft Linear Constraints with Application to Citation Field Extraction
Sam Anzaroot, Alexandre Passos, David Belanger +1
Accurately segmenting a citation string into fields for authors, titles, etc. is a challenging task because the output typically obeys various global constraints. Previous work has…