Towards scalable and reliable capsule networks for challenging NLP applications
Obstacles hindering the development of capsule networks for challenging NLP applications
include poor scalability to large output spaces and less reliable routing processes. In this …
include poor scalability to large output spaces and less reliable routing processes. In this …
An interpretable reasoning network for multi-relation question answering
Multi-relation Question Answering is a challenging task, due to the requirement of
elaborated analysis on questions and reasoning over multiple fact triples in knowledge …
elaborated analysis on questions and reasoning over multiple fact triples in knowledge …
Multi-task learning with multi-view attention for answer selection and knowledge base question answering
Answer selection and knowledge base question answering (KBQA) are two important tasks
of question answering (QA) systems. Existing methods solve these two tasks separately …
of question answering (QA) systems. Existing methods solve these two tasks separately …
Contextualized knowledge-aware attentive neural network: Enhancing answer selection with knowledge
Answer selection, which is involved in many natural language processing applications, such
as dialog systems and question answering (QA), is an important yet challenging task in …
as dialog systems and question answering (QA), is an important yet challenging task in …
Neural architecture for question answering using a knowledge graph and web corpus
In Web search, entity-seeking queries often trigger a special question answering (QA)
system. It may use a parser to interpret the question to a structured query, execute that on a …
system. It may use a parser to interpret the question to a structured query, execute that on a …
A reasoning enhance network for muti-relation question answering
W Wu, Z Zhu, G Zhang, S Kang, P Liu - Applied Intelligence, 2021 - Springer
Abstract Multi-relation Question Answering is an important task of knowledge base over
question answering (KBQA), multi-relation means that the question contains multiple …
question answering (KBQA), multi-relation means that the question contains multiple …
Multihop question answering by using sequential path expansion with backtracking
I AlAgha - IEEE Access, 2022 - ieeexplore.ieee.org
Multi-hop question answering from knowledge graphs has gained a growing attention in the
past few years due to its vast applications in AI. Existing approaches in this regard mostly …
past few years due to its vast applications in AI. Existing approaches in this regard mostly …
BertHANK: hierarchical attention networks with enhanced knowledge and pre-trained model for answer selection
Abstract In recent years, Community Question Answering (CQA) becomes increasingly
prevalent, because it provides platforms for users to collect information and share …
prevalent, because it provides platforms for users to collect information and share …
MS-Ranker: Accumulating evidence from potentially correct candidates via reinforcement learning for answer selection
Answer selection (AS) aims to select correct answers for a question from an answer
candidate set. Conventional AS methods generally address this task by independently …
candidate set. Conventional AS methods generally address this task by independently …
Semantically Driven Auto-completion
K Arkoudas, M Yahya - Proceedings of the 28th ACM International …, 2019 - dl.acm.org
The Bloomberg Terminal has been a leading source of financial data and analytics for over
30 years. Through its thousands of functions, the Terminal allows its users to query and run …
30 years. Through its thousands of functions, the Terminal allows its users to query and run …