3 citations · 8 across the 10 of their papers we have counts for
13 papers
Toponym Identification in Epidemiology Articles - A Deep Learning Approach
MohammadReza Davari, Leila Kosseim, Tien D. Bui
When analyzing the spread of viruses, epidemiologists often need to identify the location of infected hosts. This information can be found in public databases, such as GenBank, how…
CLaC at SemEval-2016 Task 11: Exploring linguistic and psycho-linguistic Features for Complex Word Identification
Elnaz Davoodi, Leila Kosseim
This paper describes the system deployed by the CLaC-EDLK team to the "SemEval 2016, Complex Word Identification task". The goal of the task is to identify if a given word in a giv…
Argument Labeling of Explicit Discourse Relations using LSTM Neural Networks
Sohail Hooda, Leila Kosseim
Argument labeling of explicit discourse relations is a challenging task. The state of the art systems achieve slightly above 55% F-measure but require hand-crafted features. In thi…
The CLaC Discourse Parser at CoNLL-2015
Majid Laali, Elnaz Davoodi, Leila Kosseim
This paper describes our submission (kosseim15) to the CoNLL-2015 shared task on shallow discourse parsing. We used the UIMA framework to develop our parser and used ClearTK to add…
Measuring the Effect of Discourse Relations on Blog Summarization
Shamima Mithun, Leila Kosseim
The work presented in this paper attempts to evaluate and quantify the use of discourse relations in the context of blog summarization and compare their use to more traditional and…
ClaC: Semantic Relatedness of Words and Phrases
Reda Siblini, Leila Kosseim
The measurement of phrasal semantic relatedness is an important metric for many natural language processing applications. In this paper, we present three approaches for measuring p…