8 citations · 21 across the 11 of their papers we have counts for
5 papers · 1 filter
Unsupervised Post-processing of Word Vectors via Conceptor Negation
Tianlin Liu, Lyle Ungar, João Sedoc
Word vectors are at the core of many natural language processing tasks. Recently, there has been interest in post-processing word vectors to enrich their semantic information. In t…
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors
Tianlin Liu, João Sedoc, Lyle Ungar
Distributed representations of words, better known as word embeddings, have become important building blocks for natural language processing tasks. Numerous studies are devoted to…
A Consistent Method for Learning OOMs from Asymptotically Stationary Time Series Data Containing Missing Values
Tianlin Liu
In the traditional framework of spectral learning of stochastic time series models, model parameters are estimated based on trajectories of fully recorded observations. However, re…
Estimating Gradual-Emotional Behavior in One-Minute Videos with ESNs
Tianlin Liu, Arvid Kappas
In this paper, we describe our approach for the OMG- Emotion Challenge 2018. The goal is to produce utterance-level valence and arousal estimations for videos of approximately 1 mi…
Binary Compressive Sensing via Smoothed Gradient Descent
Tianlin Liu, Dae Gwan Lee
We present a Compressive Sensing algorithm for reconstructing binary signals from its linear measurements. The proposed algorithm minimizes a non-convex cost function expressed as…