[PDF] Top 20 Semantic Parsing with Dual Learning
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Semantic Parsing with Dual Learning
... the dual learning based semantic parser can outperform our ...and dual models is constrained by the limited amount of la- beled ...implicit semantic information, but the re- wards are ... See full document
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Learning the Scope of Negation via Shallow Semantic Parsing
... shallow semantic parsing, the nega- tion signal-scope structures in negation scope finding can be also classified into several cer- tain types and argument pruning can be done by employing several heuristic ... See full document
9
Learning Cross lingual Distributed Logical Representations for Semantic Parsing
... for semantic parsing, recent research efforts have looked into the problem of learning semantic parsers in a multilingual setup (Duong et ...monolingual semantic parser for a specific ... See full document
7
Coupling Retrieval and Meta Learning for Context Dependent Semantic Parsing
... djZklfgV`ZYWZ^cZVmhY_h_YdV_^nod_djZmpXnYZg qXcoVgZn^gVmdn^cZrZdaZZ^djZVYYZmhZcdV`ZgVYZcf dV_^`Zcd_YmsaVdjdjZmntZun^gviwjZhY_hZYdx aVoorZXmZgV^djZ^ZedmZcdV_^i yz{|}z~ ]ddjZgZc_gV^WaZYmdm[r] ... See full document
12
Robust Semantic Parsing with Adversarial Learning for Domain Generalization
... For many NLP applications, models that per- form well on multiple domains and data sources are essential. As data labeling is expensive and time consuming, especially when it requires spe- cific expertise (FrameNet, ... See full document
8
Learning Compositional Semantics for Open Domain Semantic Parsing
... to learning compositional semantics for open domain semantic ...Dependency-based Semantic Composition using Graphs (DeSCoG) and deviates from existing approaches in several ...represent ... See full document
18
Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus
... Given a set of training sentences paired with their correct logical forms, {h e i , f i i}, the main learning task is to find a λ-SCFG, G, that covers the train- ing data. Like most existing work on syntax-based ... See full document
8
Empirically motivated Generalizations of CCG Semantic Parsing Learning Algorithms
... our semantic parsing tests on these criteria because they often form the longest portion of unstructured text for a given clinical trial report; because their meaning can be represented using a concise set ... See full document
10
Universal Semantic Parsing
... (1) learning of task-specific grammars that directly parse language to a grounded repre- sentation (Zelle and Mooney, 1996; Zettlemoyer and Collins, 2005; Berant et ... See full document
13
Response based Learning for Machine Translation of Open domain Database Queries
... a semantic parser to guide ...of parsing incorrect language into ...response-based learning for SMT, the key is to learn to prevent cases where the correct answer is retrieved despite the translation ... See full document
6
A Unified Framework for Scope Learning via Simplified Shallow Semantic Parsing
... scope learning by formulating it as a simplified shallow semantic parsing problem, which has been extensively studied in the past few ...our parsing approach and that structured syntactic in- ... See full document
11
Unsupervised Semantic Parsing
... to semantic parsing is syn- tactic variations of the same meaning, which abound in natural ...Supervised semantic parsing addresses this issue by learning to construct the grammar ... See full document
10
Frame Semantic Parsing
... correct semantic frame for a target, and finally determining the arguments that fill the semantic roles of a ...supervised learning to improve predicate ... See full document
48
Learning Structured Natural Language Representations for Semantic Parsing
... which contains only 280 test examples, we manu- ally annotated intermediate representations for the test instances and evaluated the learned represen- tations against them. The experimental setup aims to shows how humans ... See full document
12
Parsing Syntactic and Semantic Dependencies with Two Single Stage Maximum Entropy Models
... joint parsing of syntactic and semantic depen- dencies introduced by the shared task of CoNLL- 08 is more complicated than syntactic dependency parsing or semantic role labeling alone ... See full document
5
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning
... Compared with the approach of solving the entire task with one flat policy (Mnih et al. 2015), HRL takes advan- tage of the naturally defined “4-subtask” structure. Such de- sign also allows the agent to focus on ... See full document
8
Active learning for deep semantic parsing
... Semantic parsing requires training data that is expensive and slow to ...active learning to both tradi- tional and “overnight” data collection ap- ...active learning strategies for overnight ... See full document
6
Deep Multitask Learning for Semantic Dependency Parsing
... full semantic graphs can be expensive to annotate, and efforts are frag- mented across competing semantic theories, lead- ing to a limited number of annotations in any one ...makes learning to parse ... See full document
12
Learning a Lexicon for Broad coverage Semantic Parsing
... Specifically, we use the TRIPS parser (Allen et al, 2008) as the starting point, which has a semantic lexicon of verbs about the same size as VerbNet. To build the comprehensive semantic lexicon, we use two ... See full document
6
Transfer Learning for Neural Semantic Parsing
... Full semantic graphs can be expensive to an- notate, and efforts to date have been fragmented across different formalisms, leading to a limited amount of annotated data in any single ...train semantic ... See full document
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