Learning to rank short text pairs with convolutional deep neural networks

A Severyn, A Moschitti - Proceedings of the 38th international ACM SIGIR …, 2015 - dl.acm.org
Learning a similarity function between pairs of objects is at the core of learning to rank
approaches. In information retrieval tasks we typically deal with query-document pairs, in …

[图书][B] Teaching and researching: Listening

M Rost - 2013 - taylorfrancis.com
Teaching and Researching Listening provides a focused, state-of-the-art treatment of the
linguistic, psycholinguistic and pragmatic processes that are involved in oral language use …

The cascade transformer: an application for efficient answer sentence selection

L Soldaini, A Moschitti - arXiv preprint arXiv:2005.02534, 2020 - arxiv.org
Large transformer-based language models have been shown to be very effective in many
classification tasks. However, their computational complexity prevents their use in …

Technical Q8A site answer recommendation via question boosting

Z Gao, X Xia, D Lo, J Grundy - ACM Transactions on Software …, 2020 - dl.acm.org
Software developers have heavily used online question-and-answer platforms to seek help
to solve their technical problems. However, a major problem with these technical Q8A sites …

[PDF][PDF] Learning to explain entity relationships in knowledge graphs

N Voskarides, E Meij, M Tsagkias… - Proceedings of the …, 2015 - aclanthology.org
We study the problem of explaining relationships between pairs of knowledge graph entities
with human-readable descriptions. Our method extracts and enriches sentences that refer to …

Data-driven answer selection in community QA systems

L Nie, X Wei, D Zhang, X Wang, Z Gao… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Finding similar questions from historical archives has been applied to question answering,
with well theoretical underpinnings and great practical success. Nevertheless, each …

Enhancing web search in the medical domain via query clarification

L Soldaini, A Yates, E Yom-Tov, O Frieder… - Information Retrieval …, 2016 - Springer
The majority of Internet users search for medical information online; however, many do not
have an adequate medical vocabulary. Users might have difficulties finding the most …

Paraphrase-focused learning to rank for domain-specific frequently asked questions retrieval

M Karan, J Šnajder - Expert Systems with Applications, 2018 - Elsevier
A frequently asked questions (FAQ) retrieval system improves the access to information by
allowing users to pose natural language queries over an FAQ collection. From an …

Hashtagger+: Efficient high-coverage social tagging of streaming news

B Shi, G Poghosyan, G Ifrim… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
News and social media now play a synergistic role and neither domain can be grasped in
isolation. On one hand, platforms such as Twitter have taken a central role in the …

Finding best answer in community question answering sites: a review

JM Jose, J Thomas - … Conference on Circuits and Systems in …, 2018 - ieeexplore.ieee.org
Community question answering sites has seen a spectacular increase in popularity in the
recent past. These are online communities in which user can interact on wide variety of …