Semantic parsing with dual learning

Author: bbay

August undefined, 2024

WebThe paucity of annotated training samples is a fundamental challenge in this field. In this … WebApr 9, 2024 · Body shape is one of the significant modality-shared cues for VI-ReID. To dig more diverse modality-shared cues, we expect that erasing body-shape-related semantic concepts in the learned...

Semantic Parsing Papers With Code

WebApr 1, 2024 · This paper proposes a novel plug-and-play module, namely feature enhancement module (FEM). • Two types of FEM, i.e, detail FEM and semantic FEM can strengthen textural information to protect key but tiny/low-contrast details from suppression/removal and highlights structural information to boost segmentation … WebImproving Black-box Speech Recognition using Semantic Parsing 2024 Rodolfo Corona, Jesse Thomason, and Raymond J. Mooney, In Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-17) , pp. 122-127, Taipei, Taiwan, November 2024. fire near watsonville today

Semantic Parsing with Dual Learning DeepAI

WebBy incorporating the dual task, the framework can exploit pure semantic forms as well as unlabeled sentences, and further improve the NLU and SSG models iteratively in the closed-loop. The proposed approaches are evaluated on two public datasets (ATIS and SNIPS). Websemantic parsing task. The three common learning paradigms used to learn the parameters of the model are explained in (x7). 2. Task and Salient Components Semantic parsers map natural language (NL) utterances into a semantic representation. These representations are often (interchangeably) referred to as logical forms, meaning rep- WebMar 1, 2024 · Semantic parsing has emerged as a key technology toward achieving this … ethics in public administration book

Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing

WebMar 1, 2014 · Abstract. Frame semantics is a linguistic theory that has been instantiated for English in the FrameNet lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model that takes lexical targets (i.e., content words and phrases) in their sentential contexts and predicts frame-semantic structures. Given a target in … WebNov 14, 2024 · As aforementioned, dual learning has been studied and applied in many applications, including machine translation, image translation, speech processing, text summarization, code generation and commenting, etc. ethics in public administration pdfWebThe paucity of annotated training samples is a fundamental challenge in this field. In this work, we develop a semantic parsing framework with the dual learning algorithm, which enables a semantic parser to make full use of data (labeled and even unlabeled) through a dual-learning game. fire near truckee california

"WebAbstract. Synthesizing data for semantic parsing has gained increasing attention recently. However, most methods require handcrafted (high-precision) rules in their generative process, hindering the exploration of diverse unseen data. In this work, we propose a generative model which features a (non-neural) PCFG that models the composition of ... " - Semantic parsing with dual learning

Semantic parsing with dual learning

WebApr 13, 2024 · natural-language-processing semi-supervised-learning data-augmentation semantic-parsing dual-learning Updated on Feb 21, 2024 Python rhythmcao / slu-dual-learning Star 7 Code Issues Pull requests Source code and data for the journal ``Dual learning for semi-supervised natural language understanding" in TASLP 2024. WebTable 5: Test accuracies on ATIS and OVERNIGHT in semi-supervised learning setting (the ratio of labeled data is 50%). On OVERNIGHT, we average across all eight domains. LMlf means using a logical form language model for validity reward, while “grammar check” means using the surface and semantic check. - "Semantic Parsing with Dual Learning"

Did you know?

http://nscl.csail.mit.edu/ WebJul 10, 2024 · An innovative semantic parsing framework based on dual learning is …

Web**Semantic Parsing** is the task of transducing natural language utterances into formal meaning representations. The target meaning representations can be defined according to a wide variety of formalisms. This include linguistically-motivated semantic representations that are designed to capture the meaning of any sentence such as λ-calculus or the … WebSemantic Parsing with Dual Learning Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li, Kai Yu. ACL-2024. Generating Logical Forms from Graph Representations of Text and Entities Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun. ACL-2024. Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing ...

WebOct 22, 2024 · Meta-Learning for Domain Generalization in Semantic Parsing. The …

WebMay 27, 2024 · Though effective, the paraphrasing paradigm suffers from two drawbacks: …

WebarXiv.org e-Print archive fire near weed ca todayWebIn this work, we take inspiration from dual process theories to explore a neuro-symbolic … ethics in psychotherapy and counselingWebLearning for Semantic Parsing. Semantic parsing is the process of mapping a natural-language sentence into a formal representation of its meaning. A shallow form of semantic representation is a case-role analysis (a.k.a. a semantic role labeling), which identifies roles such as agent, patient, source, and destination. ethics in public and private relationshipWebThe semantic parsing module. The semantic parsing module translates a natural language question into an executable program with a hierarchy of primitive operations. Each concept in the program corresponds to a vector embedding that is jointly trained. The quasi-symbolic reasoning module. ethics in public health pptWebNov 7, 2024 · Transfer learning. There were two recent papers in ACL 2024 2, 3 which used some kind of multi-task or transfer learning approach in a neural framework for semantic parsing.. The first of these papers from Markus Dreyer at Amazon uses the popular sequence-to-sequence model developed for machine translation at Google. ethics in public healthWebSemantic parsing (SP) is the problem of parsing a given natural language (NL) sentence into a meaning representation (MR) conducive to further processing by applications. One of the major challenges in SP stems from the fact that NL is rife with. ethics in public health and leadershipWebAn innovative semantic parsing framework based on dual learning is introduced, which … ethics in public and private relations upsc