187 citations · 226 across the 8 of their papers we have counts for
8 papers
Universal rooted phylogenetic tree shapes and universal tanglegrams
Ann Clifton, Eva Czabarka, Kevin Liu +4
We provide an lower bound and an upper bound for the smallest size of rooted binary trees (a.k.a. phylogenetic tree shapes), which are universal for rooted b…
Cem Mil Podcasts: A Spoken Portuguese Document Corpus For Multi-modal, Multi-lingual and Multi-Dialect Information Access Research
Ekaterina Garmash, Edgar Tanaka, Ann Clifton +5
In this paper we describe the Portuguese-language podcast dataset we have released for academic research purposes. We give an overview of how the data was sampled, descriptive stat…
Podcast Metadata and Content: Episode Relevance andAttractiveness in Ad Hoc Search
Ben Carterette, Rosie Jones, Gareth F. Jones +6
Rapidly growing online podcast archives contain diverse content on a wide range of topics. These archives form an important resource for entertainment and professional use, but the…
Current Challenges and Future Directions in Podcast Information Access
Rosie Jones, Hamed Zamani, Markus Schedl +11
Podcasts are spoken documents across a wide-range of genres and styles, with growing listenership across the world, and a rapidly lowering barrier to entry for both listeners and c…
Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization
Rezvaneh Rezapour, Sravana Reddy, Ann Clifton +1
This paper contains the description of our submissions to the summarization task of the Podcast Track in TREC (the Text REtrieval Conference) 2020. The goal of this challenge was t…
The Spotify Podcast Dataset
Ann Clifton, Aasish Pappu, Sravana Reddy +4
Podcasts are a relatively new form of audio media. Episodes appear on a regular cadence, and come in many different formats and levels of formality. They can be formal news journal…
Sockeye: A Toolkit for Neural Machine Translation
Felix Hieber, Tobias Domhan, Michael Denkowski +4
We describe Sockeye (version 1.12), an open-source sequence-to-sequence toolkit for Neural Machine Translation (NMT). Sockeye is a production-ready framework for training and apply…
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields
Mark Schmidt, Reza Babanezhad, Mohamed Osama Ahmed +3
We apply stochastic average gradient (SAG) algorithms for training conditional random fields (CRFs). We describe a practical implementation that uses structure in the CRF gradient…