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Unified Semantic Parsing with Weak Supervision
2019
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
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To overcome this, we propose a novel framework to build a unified multi-domain enabled semantic parser trained only with weak supervision (denotations). ...
To solve this, we incorporate a multipolicy distillation mechanism in which we first train domain-specific semantic parsers (teachers) using weak supervision in the absence of the ground truth programs ...
Note that: (1) Our teachers are trained with weak supervision from denotations instead of actual parses and hence are weaker compared to completely supervised semantic parses. (2) Stateof-the-art sequence ...
doi:10.18653/v1/p19-1473
dblp:conf/acl/AgrawalDJBMS19
fatcat:shwrsvoqfbag7kzhtrc7gvvm64
Semantic Parsing with Combinatory Categorial Grammars
2013
Annual Meeting of the Association for Computational Linguistics
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Semantic parsers map natural language sentences to formal representations of their underlying meaning. ...
Building accurate semantic parsers without prohibitive engineering costs is a longstanding, open research problem. ...
The approach learns from data with labeled meaning representations, as well as from more easily gathered weak supervision. ...
dblp:conf/acl/ArtziFZ13
fatcat:jjswljcn6naifbedxcvtobyxji
Statistical learning for semantic parsing: A survey
2019
Big Data Mining and Analytics
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With the rise of deep learning, we will pay more attention on the deep learning based semantic parsing, especially for the application of Knowledge Base Question Answering (KBQA). ...
One way to achieve this goal is semantic parsing. ...
Deep Learning for Semantic Parsing In this section, we will first give an overview of deep learning, and then focus on the deep learning based semantic parsing algorithms for both supervised and weak supervised ...
doi:10.26599/bdma.2019.9020011
dblp:journals/bigdatama/ZhuML19
fatcat:evuhlbbl7jd67ajemd6xolxrje
Toward Code Generation: A Survey and Lessons from Semantic Parsing
[article]
2021
arXiv
pre-print
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We then consider semantic parsing works from an evolutionary perspective, with specific analyses on neuro-symbolic methods, architecture, and supervision. ...
We begin by reviewing natural language semantic parsing techniques and draw parallels with program synthesis efforts. ...
Supervision in Semantic Parsing Parallel to the evolution of NL semantic parsing techniques is the evolution of supervision for semantic parsing. ...
arXiv:2105.03317v1
fatcat:34zbwwxrfbhuth7pk2vquq6vaq
Deep Structured Scene Parsing by Learning with Image Descriptions
[article]
2018
arXiv
pre-print
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This paper addresses a fundamental problem of scene understanding: How to parse the scene image into a structured configuration (i.e., a semantic object hierarchy with object interaction relations) that ...
finely accords with human perception. ...
Weakly-supervised Model Training Compared with some other weak annotations such as labels and attributes, sentences usually provide richer semantics and structured contexts (e.g., object interactions and ...
arXiv:1604.02271v3
fatcat:laaiypmr7bcprixffwbgku22ja
Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision
2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
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On named entity recognition and semantic parsing, our model outperforms previous systems on the benchmark datasets, CoNLL-2003 and WebQuestionsSP. KB KB ...
Neural networks have achieved state-ofthe-art performance on several structuredoutput prediction tasks, trained in a fully supervised fashion. ...
Our system trained with MMRN is comparable to the state-of-art NTEL system.
Table 3 : 3 Implicit Supervision: Semantic Parsing. ...
doi:10.18653/v1/d17-1252
dblp:conf/emnlp/PengCY17
fatcat:qs2ss7awszbqnc4h547vw2fghu
Weakly Supervised Graph Propagation Towards Collective Image Parsing
2012
IEEE transactions on multimedia
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In this work, we propose a weakly supervised graph propagation method to automatically assign the annotated labels at image level to those contextually derived semantic regions. ...
Image-level labels are imposed on the graph as weak supervision information over subgraphs, each of which corresponds to all patches of one image, and the contextual information across different images ...
are semantic consistent regions with corresponding labels. ...
doi:10.1109/tmm.2011.2174780
fatcat:6i3fk4vfrjho3o7s3uw6w43joa
Deep Structured Scene Parsing by Learning with Image Descriptions
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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This paper addresses a fundamental problem of scene understanding: How to parse the scene image into a structured configuration (i.e., a semantic object hierarchy with object interaction relations) that ...
finely accords with human perception. ...
Weakly-supervised Model Training Compared with some other weak annotations such as labels and attributes, sentences usually provide richer semantics and structured contexts (e.g., object interactions and ...
doi:10.1109/cvpr.2016.250
dblp:conf/cvpr/LinWZZLZ16
fatcat:6gwwarmjk5fcvj5nentazu2vhq
Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions
[article]
2018
arXiv
pre-print
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In particular, SYSU-Scenes contains more than 5000 scene images with their semantic sentence descriptions, which is created by us for advancing research on scene parsing. ...
This paper investigates a fundamental problem of scene understanding: how to parse a scene image into a structured configuration (i.e., a semantic object hierarchy with object interaction relations). ...
On PASCAL VOC 2012, compared with our weakly supervised CNN-RsNN baseline, the improvement on IoU is 8.6% with 280 strongly annotated images (amount of "strong" : "weak" samples = 1:5), and is 16.6% with ...
arXiv:1709.09490v2
fatcat:nzxb246g7ranniwzawl23jnjie
Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing
[article]
2020
arXiv
pre-print
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Experimental results show that the challenging audio-visual video parsing can be achieved even with only video-level weak labels. ...
To facilitate exploration, we collect a Look, Listen, and Parse (LLP) dataset to investigate audio-visual video parsing in a weakly-supervised manner. ...
with semantic labels. ...
arXiv:2007.10558v1
fatcat:kcexne6cpbe2tfyimttmercbka
On Symbiosis of Attribute Prediction and Semantic Segmentation
[article]
2019
arXiv
pre-print
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Therefore, in addition to prediction, we are able to localize the attributes despite merely having access to image-level labels (weak supervision) during training. ...
We build our attribute prediction model jointly with a deep semantic segmentation network. ...
Therefore, it is easy to see that when few training instances are available, indeed image-level facial attribute labels can serve as an effective source of weak supervision to improve semantic face parsing ...
arXiv:1911.11612v1
fatcat:vz5lqkq7bfftpmcimov2hnjts4
Multi-class Semantic Video Segmentation with Exemplar-Based Object Reasoning
2015
2015 IEEE Winter Conference on Applications of Computer Vision
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We demonstrate the effectiveness of our method on three public datasets and show that our model can achieve superior or comparable results than the stateof-the-art with less object-level supervision. ...
We tackle the problem of semantic segmentation of dynamic scene in video sequences. ...
Table 4 shows the detector performance under weak supervision. ...
doi:10.1109/wacv.2015.140
dblp:conf/wacv/LiuHG15
fatcat:pumpr6xq3ndxrc4nx4rqmwf6pe
Relation Extraction Using TBL with Distant Supervision
2014
Joint International Conference of Semantic Technology
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supervision method. ...
Supervised machine learning methods have been widely used in relation extraction that finds the relation between two named entities in a sentence. ...
Construction of Weakly Labeled Data with Distant Supervision For distant supervision, we use DBpedia ontology as a knowledge base. ...
dblp:conf/jist/ChoiK14
fatcat:24ejwgshfjecfm3dmv63rlhjle
Complex Knowledge Base Question Answering: A Survey
[article]
2022
arXiv
pre-print
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Next, we present two mainstream categories of methods for complex KBQA, namely semantic parsing-based (SP-based) methods and information retrieval-based (IR-based) methods. ...
In detail, we begin with introducing the complex KBQA task and relevant background. ...
However, the insufficient training data makes it a challenge to train under weak supervision. ...
arXiv:2108.06688v2
fatcat:frcdrrhbsncm3kprehnz563yfq
Surveillance Video Parsing with Single Frame Supervision
2017
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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SVP (i) roughly parses the frames within the video segment, (ii) estimates the optical flow between frames and (iii) fuses the rough parsing results warped by optical flow to produce the refined parsing ...
To parse one particular frame, the video segment preceding the frame is jointly considered. ...
[17] address the problem of automatically parsing the fashion images with weak supervision from the user-generated color-category tags. ...
doi:10.1109/cvpr.2017.114
dblp:conf/cvpr/LiuWQYBS17
fatcat:3yqf4z3zifgz5iptwf5l4k57ka
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