2.4k citations · 2.9k across the 18 of their papers we have counts for
19 papers
SLING: A framework for frame semantic parsing
Michael Ringgaard, Rahul Gupta, Fernando C. N. Pereira
We describe SLING, a framework for parsing natural language into semantic frames. SLING supports general transition-based, neural-network parsing with bidirectional LSTM input enco…
Multinomial Loss on Held-out Data for the Sparse Non-negative Matrix Language Model
Ciprian Chelba, Fernando Pereira
We describe Sparse Non-negative Matrix (SNM) language model estimation using multinomial loss on held-out data. Being able to train on held-out data is important in practical situa…
Controlling Complexity in Part-of-Speech Induction
João V. Graça, Kuzman Ganchev, Luisa Coheur +2
We consider the problem of fully unsupervised learning of grammatical (part-of-speech) categories from unlabeled text. The standard maximum-likelihood hidden Markov model for this…
Large Scale Distributed Acoustic Modeling With Back-off N-grams
Ciprian Chelba, Peng Xu, Fernando Pereira +1
The paper revives an older approach to acoustic modeling that borrows from n-gram language modeling in an attempt to scale up both the amount of training data and model size (as me…
Case-Factor Diagrams for Structured Probabilistic Modeling
David A. McAllester, Michael Collins, Fernando Pereira
We introduce a probabilistic formalism subsuming Markov random fields of bounded tree width and probabilistic context free grammars. Our models are based on a representation of Boo…
A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance
Andrew McCallum, Kedar Bellare, Fernando Pereira
The need to measure sequence similarity arises in information extraction, object identity, data mining, biological sequence analysis, and other domains. This paper presents discrim…