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 …
Technological troubleshooting based on sentence embedding with deep transformers
In nowadays manufacturing, each technical assistance operation is digitally tracked. This
results in a huge amount of textual data that can be exploited as a knowledge base to …
results in a huge amount of textual data that can be exploited as a knowledge base to …
HCA: Hierarchical compare aggregate model for question retrieval in community question answering
We address the problem of finding similar historical questions that are semantically
equivalent or relevant to an input query question in community question-answering (CQA) …
equivalent or relevant to an input query question in community question-answering (CQA) …
Multi-view domain adapted sentence embeddings for low-resource unsupervised duplicate question detection
N Poerner, H Schütze - Proceedings of the 2019 conference on …, 2019 - aclanthology.org
We address the problem of Duplicate Question Detection (DQD) in low-resource domain-
specific Community Question Answering forums. Our multi-view framework MV-DASE …
specific Community Question Answering forums. Our multi-view framework MV-DASE …
A multi-approach to community question answering
Y El Adlouni, H Rodríguez, M Meknassi… - Expert Systems with …, 2019 - Elsevier
In this paper we face the problem of Community Question Answering for the Arabic
language. In this setting, a member of the community posts an initial query expressed in …
language. In this setting, a member of the community posts an initial query expressed in …
[PDF][PDF] It takes three to tango: Triangulation approach to answer ranking in community question answering
We address the problem of answering new questions in community forums, by selecting
suitable answers to already asked questions. We approach the task as an answer ranking …
suitable answers to already asked questions. We approach the task as an answer ranking …
[PDF][PDF] A model of convolutional neural network combined with external knowledge to measure the question similarity for community question answering systems
Automatically determining similar questions and ranking the obtained questions according
to their similarities to each input question is a very important task to any community Question …
to their similarities to each input question is a very important task to any community Question …
Imbalanced stance detection by combining neural and external features
Stance detection is the task of determining the perspective “or stance” of pairs of text.
Classifying the stance (eg agree, disagree, discuss or unrelated) expressed in news articles …
Classifying the stance (eg agree, disagree, discuss or unrelated) expressed in news articles …
DUTH at SemEval-2019 task 8: Part-of-speech features for question classification
A Bairaktaris, S Symeonidis… - Proceedings of the 13th …, 2019 - aclanthology.org
This report describes the methods employed by the Democritus University of Thrace (DUTH)
team for participating in SemEval-2019 Task 8: Fact Checking in Community Question …
team for participating in SemEval-2019 Task 8: Fact Checking in Community Question …
Multistage feature-assisted deep learning and its application in fine-grained fake news detection
FM Hassan - 2021 - etheses.bham.ac.uk
The rapid increase of real-time news posted in social media has led to the emergence of
fake news. Assessing the veracity of news claims requires an enormous labour of human …
fake news. Assessing the veracity of news claims requires an enormous labour of human …