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检索条件"主题词=Programming by example"

共 89 条记录，以下是51-60 订阅

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Synthesis From examples: Interaction Models and Algorithms (Invited Talk Paper)

Synthesis From Examples: Interaction Models and Algorithms (...

引用

14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

作者： Gulwani, Sumit Microsoft Res Redmond WA 98052 USA

ISBN: (纸本)9780769549347;9781467350266

examples are often a natural way to specify various computational artifacts such as programs, queries, and sequences. Synthesizing such artifacts from example based specifications has various applications in the domains of enduser programming and intelligent tutoring systems. Synthesis from examples involves addressing two key technical challenges: (i) design of a user interaction model to deal with the inherent ambiguity in the example based specification. (ii) design of an efficient search algorithm -these algorithms have been based on paradigms from various communities including use of SAT/ SMT solvers (formal methods community), version space algebras (machine learning community), and A*-style goal-directed heuristics (AI community). This paper describes some effective user interaction models and algorithmic methodologies for synthesis from examples while discussing synthesizers for a variety of artifacts ranging from tricky bitvector algorithms, spreadsheet macros for automating repetitive data manipulation tasks, ruler/ compass based geometry constructions, algebraic identities, and predictive intellisense for repetitive drawings and mathematical terms.

关键词： Program Synthesis Inductive Synthesis End User programming Intelligent Tutoring Systems Domain Specific Languages programming by example

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Repeat and predict - Two keys to efficient text editing 94

Repeat and predict - Two keys to efficient text editing

引用

CHI 94 Conference - Human Factors in Computing Systems: Celebrating Interdependence

作者： MASUI, T NAKAYAMA, K SHARP CO LTD SOFTWARE LABSTENRINARA 632JAPAN

No abstract available.

ISBN: (纸本)0201765578

No abstract available.

关键词： TEXT EDITING PREDICTIVE INTERFACE programming by example PBE programming BY DEMONSTRATION PBD KEYBOARD MACRO DYNAMIC MACRO CREATION

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JSKETCH: Sketching for Java 2015

JSKETCH: Sketching for Java

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10th Joint Meeting of the European Software Engineering Conference (ESEC) / ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE)

作者： Jeon, Jinseong Qiu, Xiaokang Foster, Jeffrey S. Solar-Lezama, Armando Univ Maryland College Pk MD 20742 USA MIT Cambridge MA 02139 USA

ISBN: (纸本)9781450336758

Sketch-based synthesis, epitomized by the SKETCH tool, lets developers synthesize software starting from a partial program., also called a,sketch or template. This paper presents JSKETCH, a tool that brings sketcli-based synthesis to Java. JSKETCH'S input is a partial Java program that may include holes, which are unknown constants, expression generators, which range over sets of expressions, and class generators, which are partial classes. JSKETCH then translates the synthesis problem into a SKETCH problem;this translation is complex because SKETCH is not object oriented. Finally, JSKETCH synthesizes an executable Java program by interpreting the output of SKETCH.

关键词： Program Synthesis programming by example Java SKETCH

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VRDSynth: Synthesizing Programs for Multilingual Visually Rich Document Information Extraction 2024

VRDSynth: Synthesizing Programs for Multilingual Visually Ri...

引用

33rd ACM SIGSOFT International Conference on Software Testing and Analysis (ISSTA)

作者： Thanh-Dat Nguyen Tung Do-Viet Hung Nguyen-Duy Tuan-Hai Luu Le, Hung Le, Bach Thongtanunam, Patanamon Univ Melbourne Melbourne Vic Australia Cinnamon AI Ho Chi Minh City Vietnam Deakin Univ Geelong Vic Australia

ISBN: (纸本)9798400706127

Businesses often need to query visually rich documents (VRDs), e.g., purchase receipts, medical records, and insurance forms, among many other forms from multiple vendors, to make informed decisions. As such, several techniques have been proposed to automatically extract independent entities of interest front VRDs such as extracting price tags from purchase receipts, etc. However, for extracting semantically linked entities, such as finding corresponding price tags for each item, these techniques either have limited capability in handling new layouts, e.g., template-based approaches, or require extensive amounts of pre-training data and do not perform well, e.g., deep-learning approaches. In this work, we introduce a program synthesis method, namely VRDSYNTH;to automatically generate programs to extract entity relations from multilingual VRDs. Two key novelties, which empower VRDSYNTH to tackle flexible layouts while requiring no pre-training data for extracting entity relations, include: (1) a new domain-specific language (DSL) to effectively capture the spatial and textual relations between document entities, and (2) a novel synthesis algorithm that makes use of frequent spatial relations between entities to construct initial programs, equivalent reduction to prune the search space, and a combination of positive, negative, and mutually exclusive programs to improve the coverage of programs. We experiment on two popular VRD understanding benchmarks, namely FUNSD and XFUND, on the semantic entity linking task, consisting of 1,592 forms in 8 different languages. VRDSYNTH, despite having no prior pre-training data, outperforms the s tate-of-theart pre-trained deep-learning approaches- LayoutXLM, I nfoXLMB, and XLMRobertaBase in 5, 6 and 7 out of 8 languages, respectively. Noticeably, in English. VRDSYNTH improves 42% of Fl score over LayoutXLM while being complementary to LayoutXLM in 7/8 languages. We further extend VRDSYNTH with automated table recognition, namely V

关键词： Automatic programming programming by example Program Synthesis Information Extraction Visually-Rich Document

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Foofah: Transforming Data By example 17

Foofah: Transforming Data By Example

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ACM International Conference on Management of Data

作者： Jin, Zhongjun Anderson, Michael R. Cafarella, Michael Jagadish, H., V Univ Michigan Ann Arbor MI 48109 USA

ISBN: (纸本)9781450341974

Data transformation is a critical first step in modern data analysis: before any analysis can be done, data from a variety of sources must be wrangled into a uniform format that is amenable to the intended analysis and analytical software package. This data transformation task is tedious, time-consuming, and often requires programming skills beyond the expertise of data analysts. In this paper, we develop a technique to synthesize data transformation programs by example, reducing this burden by allowing the analyst to describe the transformation with a small input-output example pair, without being concerned with the transformation steps required to get there. We implemented our technique in a system, FOOFAH, that efficiently searches the space of possible data transformation operations to generate a program that will perform the desired transformation. We experimentally show that data transformation programs can be created quickly with FOOFAH for a wide variety of cases, with 60% less user effort than the well-known WRANGLER system.

关键词： Data Transformation Program Synthesis programming by example A* algorithm Heuristic

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Playing Regex Golf with Genetic programming 14

Playing Regex Golf with Genetic Programming

引用

16th Genetic and Evolutionary Computation Conference (GECCO)

作者： Bartoli, Alberto De Lorenzo, Andrea Medvet, Eric Tarlao, Fabiano Univ Trieste DIA I-34127 Trieste Italy

ISBN: (纸本)9781450326629

Regex golf has recently emerged as a specific kind of code golf, i.e., unstructured and informal programming competitions aimed at writing the shortest code solving a particular problem. A problem in regex golf consists in writing the shortest regular expression which matches all the strings in a given list and does not match any of the strings in another given list. The regular expression is expected to follow the syntax of a specified programming language, e.g., Javascript or PHP. In this paper, we propose a regex golf player internally based on Genetic programming. We generate a population of candidate regular expressions represented as trees and evolve such population based on a multi-objective fitness which minimizes the errors and the length of the regular expression. We assess experimentally our player on a popular regex golf challenge consisting of 16 problems and compare our results against those of a recently proposed algorithm the only one we are aware of. Our player obtains scores which improve over the baseline and are highly competitive also with respect to human players. The time for generating a solution is usually in the order of tens minutes, which is arguably comparable to the time required by human players.

关键词： Regular Expressions Genetic programming programming by example Machine Learning

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Two-Dimensional Encoding Method for Neural Synthesis of Tabular Transformation by example 31st

Two-Dimensional Encoding Method for Neural Synthesis of Tabu...

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31st International Conference on Artificial Neural Networks (ICANN)

作者： Ujibashi, Yoshifumi Takasu, Atsuhiro Fujitsu Ltd 4-1-1 KamikodanakaNakahara Ku Kawasaki Kanagawa Japan SOKENDAI Grad Univ Adv Studies Chiyoda Ku Tokyo Japan Natl Inst Informat 2-1-2 HitotsubashiChiyoda Ku Tokyo Japan

ISBN: (纸本)9783031159374;9783031159367

programming by example (PBE) is a technology that makes data transformation tasks, especially tabular data transformation, easier for data analysts by automatically generating transformation programs from user-given input-output examples. In recent years, PBE research using machine learning (ML) has emerged because of the recent success of ML in various research fields. We developed an ML-based PBE system for tabular data transformation in previous work. The system is based on the Transformer model that fits sequential data and not two-dimensional structured data like tabular data. Inspired by recent work applying a Transformer model to tasks using two-dimensional data, such as the query answering task for tables or the image computer vision task, we propose a Transformer-based model with positional encoding for two-dimensional tabular data, called tabular positional encoding, to improve the Transformer-based model developed in our previous work. We implemented our proposed model and conducted various experiments. The experimental results show that the Transformer-based model with tabular positional encoding achieves much higher performance than our previous work.

关键词： programming by example Transformer Positional encoding

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Iteratively Learning Conditional Statements in Transforming Data by example 14

Iteratively Learning Conditional Statements in Transforming ...

引用

14th IEEE International Conference on Data Mining (IEEE ICDM)

作者： Wu, Bo Knoblock, Craig A. Univ Southern Calif Dept Comp Sci 4676 Admiralty Way Marina Del Rey CA USA Univ Southern Calif Inst Informat Sci 4676 Admiralty Way Marina Del Rey CA USA

ISBN: (纸本)9781479942749

programming by example (PBE) enables users to transform data formats without coding. As data transformation often involves data with heterogeneous formats, it often requires learning a conditional statement to differentiate these different formats. However, to be practical, the method must learn the correct conditional statement efficiently and accurately with little user input. We present an approach to reduce the conditional statement learning time and the required amount of data. This approach takes advantage of the fact that users interact iteratively with a programming-by-example system. Our approach learns from previous iterations to guide the program generation for the current iteration. The final results show that our method successfully reduces the system running time and the number of examples.

关键词： data transformation clustering classification programming by example

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Visual Design Reuse Through Style Recognition and Transfer 34

Visual Design Reuse Through Style Recognition and Transfer

引用

34th Annual ACM Symposium on User Interface Software and Technology (UIST)

作者： Warner, Jeremy Univ Calif Berkeley Berkeley CA 94720 USA

ISBN: (纸本)9781450386357

This work aims to transfer design attributes and styles within and across visual documents such as slides, graphic designs, and non-photorealistic renderings. Consistent style across elements is a hallmark of good graphic design. Many visual stylistic design patterns exist throughout visualizations, presentations, and interactive media experiences (games, visual novels). These patterns often exist in visual style guides, brand guides, and concept art. However, except for structured document layouts (e.g., HTML/CSS), design tools often do not enforce consistent style decisions or must be manually maintained. Synchronizing style guides and designs require signifcant efort, discouraging exploration and the mixing of new ideas. This work introduces algorithms that recognize implicit patterns and structures in visual documents along with interfaces that let designers operate on these patterns, specifcally, to view and apply design changes across pattern instances fexibly. The key benefts of visual redesign through implicit patterns are: (1) removing any dependence on upfront formal style declarations, (2) enabling extraction and distribution of implicit visual patterns, and (3) facilitating the exploration of novel visual design concepts through the mixing of styles.

关键词： style transfer graphics programming by example

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StriSynth: Synthesis for Live programming 37

StriSynth: Synthesis for Live Programming

引用

IEEE/ACM 2nd International Workshop on Software Architecture and Metrics (SAM)

作者： Gulwani, Sumit Mayer, Mikael Niksic, Filip Piskac, Ruzica Microsoft Res Redmond Redmond WA USA Ecole Polytech Fed Lausanne Lausanne Switzerland MPI SWS Kaiserslautern Germany Yale Univ New Haven CT 06520 USA

ISBN: (纸本)9781479919345

Motivated by applications in automating repetitive file manipulations, we present a tool called StriSynth, which allows end-users to perform transformations over data using examples. Based on provided examples, our tool automatically generates scripts for non-trivial file manipulations. Although the current focus of StriSynth are file manipulations, it implements a more general string transformation framework. This framework builds on and further extends the functionality of Flash Fill-a Microsoft Excel extension for string transformations. An accompanying video to this paper is available at the following website http://***/kkDZphqIdFM.

关键词： File Manipulation Live programming programming by example Scripting Synthesis

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