Learning for semantic parsing
RJ Mooney - International Conference on Intelligent Text Processing …, 2007 - Springer
Semantic parsing is the task of mapping a natural language sentence into a complete,
formal meaning representation. Over the past decade, we have developed a number of …
formal meaning representation. Over the past decade, we have developed a number of …
[PDF][PDF] Probabilistic tree-edit models with structured latent variables for textual entailment and question answering
M Wang, CD Manning - … of the 23rd International Conference on …, 2010 - aclanthology.org
A range of Natural Language Processing tasks involve making judgments about the
semantic relatedness of a pair of sentences, such as Recognizing Textual Entailment (RTE) …
semantic relatedness of a pair of sentences, such as Recognizing Textual Entailment (RTE) …
An Overview of Deep Neural Networks for Few-Shot Learning
J Zhao, L Kong, J Lv - Big Data Mining and Analytics, 2024 - ieeexplore.ieee.org
Recent advancements in deep learning have led to significant breakthroughs across various
fields. However, these methods often require extensive labeled data for optimal …
fields. However, these methods often require extensive labeled data for optimal …
Computing text similarity using tree edit distance
In this paper, we propose the application of the Tree Edit Distance (TED) for calculation of
similarity between syntactic n-grams for further detection of soft similarity between texts. The …
similarity between syntactic n-grams for further detection of soft similarity between texts. The …
Assessing the impact of frame semantics on textual entailment
A Burchardt, M Pennacchiotti, S Thater… - Natural Language …, 2009 - cambridge.org
In this article, we underpin the intuition that frame semantic information is a useful resource
for modelling textual entailment. To this end, we provide a manual frame semantic …
for modelling textual entailment. To this end, we provide a manual frame semantic …
[图书][B] Natural language processing: semantic aspects
E Kapetanios, D Tatar, C Sacarea - 2013 - books.google.com
This book introduces the semantic aspects of natural language processing and its
applications. Topics covered include: measuring word meaning similarity, multi-lingual …
applications. Topics covered include: measuring word meaning similarity, multi-lingual …
[PDF][PDF] Recognizing textual entailment using sentence similarity based on dependency tree skeletons
We present a novel approach to RTE that exploits a structure-oriented sentence
representation followed by a similarity function. The structural features are automatically …
representation followed by a similarity function. The structural features are automatically …
Legal question answering using ranking SVM and syntactic/semantic similarity
We describe a legal question answering system which combines legal information retrieval
and textual entailment. We have evaluated our system using the data from the first …
and textual entailment. We have evaluated our system using the data from the first …
Applying a convolutional neural network to legal question answering
Our legal question answering system combines legal information retrieval and textual
entailment, and we describe a legal question answering system that exploits a deep …
entailment, and we describe a legal question answering system that exploits a deep …
Answering yes/no questions in legal bar exams
Abstract The development of Question Answering (QA) systems has become important
because it reveals research issues that require insight from a variety of disciplines, including …
because it reveals research issues that require insight from a variety of disciplines, including …