A Multi-Dimension Question Answering Network for Sarcasm Detection
نویسندگان
چکیده
منابع مشابه
A Question-Focused Multi-Factor Attention Network for Question Answering
Neural network models recently proposed for question answering (QA) primarily focus on capturing the passagequestion relation. However, they have minimal capability to link relevant facts distributed across multiple sentences which is crucial in achieving deeper understanding, such as performing multi-sentence reasoning, co-reference resolution, etc. They also do not explicitly focus on the que...
متن کاملAn 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 base. In this paper, we present a novel model called Interpretable Reasoning Network that employs an interpretable, hop-byhop reasoning process for question answering. The model dynamically decides which part of an input questi...
متن کاملInvestigating Embedded Question Reuse in Question Answering
The investigation presented in this paper is a novel method in question answering (QA) that enables a QA system to gain performance through reuse of information in the answer to one question to answer another related question. Our analysis shows that a pair of question in a general open domain QA can have embedding relation through their mentions of noun phrase expressions. We present methods f...
متن کاملMulti-Dimensional Feature Merger for Question Answering
In this paper, we introduce new features for question-answering systems. These features are inspired by the fact that justification of the correct answer (out of many candidate answers) may be present in multiple passages. Our features attempt to combine evidence from multiple passages retrieved for a candidate answer. We present results on two data-sets: Jeopardy! and Doctor’s Dilemma. In both...
متن کاملMulti-Field Structural Decomposition for Question Answering
This paper presents a precursory yet novel approach to the question answering task using structural decomposition. Our system first generates linguistic structures such as syntactic and semantic trees from text, decomposes them into multiple fields, then indexes the terms in each field. For each question, it decomposes the question into multiple fields, measures the relevance score of each fiel...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2967095