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20172019
most citedGlobal Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases

35 citations · 53 across the 6 of their papers we have counts for

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9 papers · 1 filter

cs.CL20193 cited

An Empirical Study of Sections in Classifying Disease Outbreak Reports

Son Doan, Mike Conway, Nigel Collier

Identifying articles that relate to infectious diseases is a necessary step for any automatic bio-surveillance system that monitors news articles from the Internet. Unlike scientif…

cs.CL20191 cited

On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation

Victor Prokhorov, Ehsan Shareghi, Yingzhen Li +2

Variational Autoencoders (VAEs) are known to suffer from learning uninformative latent representation of the input due to issues such as approximated posterior collapse, or entangl…

cs.CL2019

Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models

Victor Prokhorov, Mohammad Taher Pilehvar, Nigel Collier

We present a novel method for mapping unrestricted text to knowledge graph entities by framing the task as a sequence-to-sequence problem. Specifically, given the encoded state of…

cs.CL2018

Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces

Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis +2

Word embedding techniques heavily rely on the abundance of training data for individual words. Given the Zipfian distribution of words in natural language texts, a large number of…

cs.CL2018

A Pragmatic Guide to Geoparsing Evaluation

Milan Gritta, Mohammad Taher Pilehvar, Nigel Collier

Empirical methods in geoparsing have thus far lacked a standard evaluation framework describing the task, metrics and data used to compare state-of-the-art systems. Evaluation is f…

cs.CL2018

Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models

Mohammad Taher Pilehvar, Dimitri Kartsaklis, Victor Prokhorov +1

Rare word representation has recently enjoyed a surge of interest, owing to the crucial role that effective handling of infrequent words can play in accurate semantic understanding…