10 citations · 33 across the 39 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
Dimitri Kartsaklis, Mohammad Taher Pilehvar, Nigel Collier
This paper addresses the problem of mapping natural language text to knowledge base entities. The mapping process is approached as a composition of a phrase or a sentence into a po…
Predicted decay ideal
Sarah Jo Weinstein, Irena Swanson
For arbitrary positive integers we construct a family of monomial ideals such that for each positive integer and for each ideal in the fami…
The Interplay between Lexical Resources and Natural Language Processing
Jose Camacho-Collados, Luis Espinosa-Anke, Mohammad Taher Pilehvar
Incorporating linguistic, world and common sense knowledge into AI/NLP systems is currently an important research area, with several open problems and challenges. At the same time,…
From Word to Sense Embeddings: A Survey on Vector Representations of Meaning
Jose Camacho-Collados, Mohammad Taher Pilehvar
Over the past years, distributed semantic representations have proved to be effective and flexible keepers of prior knowledge to be integrated into downstream applications. This su…