SemEval-2017 task 3: Community question answering
We describe SemEval-2017 Task 3 on Community Question Answering. This year, we reran
the four subtasks from SemEval-2016:(A) Question-Comment Similarity,(B) Question …
the four subtasks from SemEval-2016:(A) Question-Comment Similarity,(B) Question …
Breast cancer prognosis using a machine learning approach
Machine learning (ML) has been recently introduced to develop prognostic classification
models that can be used to predict outcomes in individual cancer patients. Here, we report …
models that can be used to predict outcomes in individual cancer patients. Here, we report …
Kelp at semeval-2016 task 3: Learning semantic relations between questions and answers
This paper describes the KeLP system par-ticipating in the SemEval-2016 Community
Question Answering (cQA) task. The chal-lenge tasks are modeled as binary classifi-cation …
Question Answering (cQA) task. The chal-lenge tasks are modeled as binary classifi-cation …
Risk assessment for venous thromboembolism in chemotherapy-treated ambulatory cancer patients: a machine learning approach
Objective. To design a precision medicine approach aimed at exploiting significant patterns
in data, in order to produce venous thromboembolism (VTE) risk predictors for cancer …
in data, in order to produce venous thromboembolism (VTE) risk predictors for cancer …
[PDF][PDF] Convkn at semeval-2016 task 3: Answer and question selection for question answering on arabic and english fora
We describe our system, ConvKN, participating to the SemEval-2016 Task 3 “Community
Question Answering”. The task targeted the reranking of questions and comments in real-life …
Question Answering”. The task targeted the reranking of questions and comments in real-life …
Kelp at semeval-2017 task 3: Learning pairwise patterns in community question answering
This paper describes the KeLP system participating in the SemEval-2017 community
Question Answering (cQA) task. The system is a refinement of the kernel-based sentence …
Question Answering (cQA) task. The system is a refinement of the kernel-based sentence …
[HTML][HTML] Grounded language interpretation of robotic commands through structured learning
The presence of robots in everyday life is increasing day by day at a growing pace. Industrial
and working environments, health-care assistance in public or domestic areas can benefit …
and working environments, health-care assistance in public or domestic areas can benefit …
Exploiting graph kernels for high performance biomedical relation extraction
Background Relation extraction from biomedical publications is an important task in the area
of semantic mining of text. Kernel methods for supervised relation extraction are often …
of semantic mining of text. Kernel methods for supervised relation extraction are often …
[HTML][HTML] Machine learning approach to predict medication overuse in migraine patients
Abstract Machine learning (ML) is largely used to develop automatic predictors in migraine
classification but automatic predictors for medication overuse (MO) in migraine are still in …
classification but automatic predictors for medication overuse (MO) in migraine are still in …
Language processing and learning models for community question answering in Arabic
In this paper we focus on the problem of question ranking in community question answering
(cQA) forums in Arabic. We address the task with machine learning algorithms using …
(cQA) forums in Arabic. We address the task with machine learning algorithms using …