3 citations · 10 across the 11 of their papers we have counts for
14 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…
On the Contribution of Discourse Structure on Text Complexity Assessment
Elnaz Davoodi, Leila Kosseim
This paper investigates the influence of discourse features on text complexity assessment. To do so, we created two data sets based on the Penn Discourse Treebank and the Simple En…
The CLaC Discourse Parser at CoNLL-2016
Majid Laali, Andre Cianflone, Leila Kosseim
This paper describes our submission "CLaC" to the CoNLL-2016 shared task on shallow discourse parsing. We used two complementary approaches for the task. A standard machine learnin…
CLaC @ QATS: Quality Assessment for Text Simplification
Elnaz Davoodi, Leila Kosseim
This paper describes our approach to the 2016 QATS quality assessment shared task. We trained three independent Random Forest classifiers in order to assess the quality of the simp…
Automatic Identification of AltLexes using Monolingual Parallel Corpora
Elnaz Davoodi, Leila Kosseim
The automatic identification of discourse relations is still a challenging task in natural language processing. Discourse connectives, such as "since" or "but", are the most inform…
N-gram and Neural Language Models for Discriminating Similar Languages
Andre Cianflone, Leila Kosseim
This paper describes our submission (named clac) to the 2016 Discriminating Similar Languages (DSL) shared task. We participated in the closed Sub-task 1 (Set A) with two separate…
Improving Discourse Relation Projection to Build Discourse Annotated Corpora
Majid Laali, Leila Kosseim
The naive approach to annotation projection is not effective to project discourse annotations from one language to another because implicit discourse relations are often changed to…
Automatic Mapping of French Discourse Connectives to PDTB Discourse Relations
Majid Laali, Leila Kosseim
In this paper, we present an approach to exploit phrase tables generated by statistical machine translation in order to map French discourse connectives to discourse relations. Usi…
Automatic Disambiguation of French Discourse Connectives
Majid Laali, Leila Kosseim
Discourse connectives (e.g. however, because) are terms that can explicitly convey a discourse relation within a text. While discourse connectives have been shown to be an effectiv…