36 citations · 52 across the 6 of their papers we have counts for
6 papers
SemBleu: A Robust Metric for AMR Parsing Evaluation
Linfeng Song, Daniel Gildea
Evaluating AMR parsing accuracy involves comparing pairs of AMR graphs. The major evaluation metric, SMATCH (Cai and Knight, 2013), searches for one-to-one mappings between the nod…
Predicting TED Talk Ratings from Language and Prosody
Md Iftekhar Tanveer, Md Kamrul Hassan, Daniel Gildea +1
We use the largest open repository of public speaking---TED Talks---to predict the ratings of the online viewers. Our dataset contains over 2200 TED Talk transcripts (includes over…
A Causality-Guided Prediction of the TED Talk Ratings from the Speech-Transcripts using Neural Networks
Md Iftekhar Tanveer, Md Kamrul Hasan, Daniel Gildea +1
Automated prediction of public speaking performance enables novel systems for tutoring public speaking skills. We use the largest open repository---TED Talks---to predict the ratin…
AMR-to-text generation as a Traveling Salesman Problem
Linfeng Song, Yue Zhang, Xiaochang Peng +2
The task of AMR-to-text generation is to generate grammatical text that sustains the semantic meaning for a given AMR graph. We at- tack the task by first partitioning the AMR grap…
Exploring phrase-compositionality in skip-gram models
Xiaochang Peng, Daniel Gildea
In this paper, we introduce a variation of the skip-gram model which jointly learns distributed word vector representations and their way of composing to form phrase embeddings. In…
Convergence of the EM Algorithm for Gaussian Mixtures with Unbalanced Mixing Coefficients
Iftekhar Naim, Daniel Gildea
The speed of convergence of the Expectation Maximization (EM) algorithm for Gaussian mixture model fitting is known to be dependent on the amount of overlap among the mixture compo…