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 …
Adversarial domain adaptation for duplicate question detection
We address the problem of detecting duplicate questions in forums, which is an important
step towards automating the process of answering new questions. As finding and annotating …
step towards automating the process of answering new questions. As finding and annotating …
Supervised clustering of questions into intents for dialog system applications
Modern automated dialog systems require complex dialog managers able to deal with user
intent triggered by high-level semantic questions. In this paper, we propose a model for …
intent triggered by high-level semantic questions. In this paper, we propose a model for …
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 …
Web forum retrieval and text analytics: A survey
This survey presents an overview of information retrieval, natural language processing and
machine learning research that makes use of forum data, including both discussion forums …
machine learning research that makes use of forum data, including both discussion forums …
Improved cross-lingual question retrieval for community question answering
We perform cross-lingual question retrieval in community question answering (cQA), ie, we
retrieve similar questions for queries that are given in another language. The standard …
retrieve similar questions for queries that are given in another language. The standard …
Detecting misflagged duplicate questions in community question-answering archives
In this paper we introduce the task of misflagged duplicate question detection for question
pairs in community question-answer (cQA) archives and compare it to the more standard …
pairs in community question-answer (cQA) archives and compare it to the more standard …
Neural attention for learning to rank questions in community question answering
In real-world data, eg, from Web forums, text is often contaminated with redundant or
irrelevant content, which leads to introducing noise in machine learning algorithms. In this …
irrelevant content, which leads to introducing noise in machine learning algorithms. In this …
Interactive knowledge-enhanced attention network for answer selection
Answer selection which aims to select the most appropriate answers from a set of candidate
answers plays a crucial role in various applications such as question answering (QA) and …
answers plays a crucial role in various applications such as question answering (QA) and …
Feature engineering in learning-to-rank for community question answering task
N Sajid, MR Hasan, M Ibrahim - International Journal of Computers …, 2024 - Taylor & Francis
Community question answering (CQA) forums are Internet-based platforms where users ask
questions about a topic and other expert users try to provide solutions. Many CQA forums …
questions about a topic and other expert users try to provide solutions. Many CQA forums …