Hierarchical Shape Description of Objects by Selection and Modification of Prototypes by Hollerbach, John M.

“…A special feature is that the processes of parsing and identification are carried out simultaneously.…”
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Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers by Fisch, Adam, Guo, Jiang, Barzilay, Regina

“…© 2019 Association for Computational Linguistics This paper explores the task of leveraging typology in the context of cross-lingual dependency parsing. While this linguistic information has shown great promise in preneural parsing, results for neural architectures have been mixed. …”
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Automated Program Recognition: A Proposal by Zelinka, Linda M.

“…The second is an efficient graph parsing algorithm.…”
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Exploiting visual context and consistency for semantic segmentation by Kang, Dang

“…Our proposed local learning works well in challenging image parsing problems, such as pedestrian parsing, street-view scene parsing, and object segmentation, and outperforms existing methods that rely on one unified pixel classifier. …”
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Toward a Principle-Based Parser by Barton, G. Edward, Jr.

“…The shift to modular theories of syntax should be replicated in parsing practice; a parser should base its actions on interacting modules of principles and parameters rather than a complex, monolithic rule system. …”
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Natural language processing as autoregressive generation by Lin, Xiang

“…While many tasks can naturally fit into the sequence learning framework, some of them, e.g., building discourse parsing tree, require sophisticated designs to fit into neural models. …”
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The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision by Mao, Jiayuan, Gan, Chuang, Kohli, Pushmeet, Tenenbaum, Joshua B, Wu, Jiajun

“…We propose the Neuro-Symbolic Concept Learner (NS-CL), a model that learns visual concepts, words, and semantic parsing of sentences without explicit supervision on any of them; instead, our model learns by simply looking at images and reading paired questions and answers. …”
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If the Current Clique Algorithms Are Optimal, so Is Valiant's Parser by Abboud, Amir, Backurs, Arturs, Williams, Virginia Vassilevska

“…This is the most basic parsing question and is a core computer science problem. …”
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Assigning Hierarchical Descriptions to Visual Assemblies of Blocks with Occlusion by Dunlavey, Michael R.

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Lagrangian relaxation for natural language decoding by Rush, Alexander M. (Alexander Matthew)

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Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees by Zhang, Yuan, Lei, Tao, Barzilay, Regina, Jaakkola, Tommi S., Globerson, Amir

“…Much of the recent work on dependency parsing has been focused on solving inherent combinatorial problems associated with rich scoring functions. …”
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Syntax-Based Analytic Reading of Musical Scores by Forte, Allen

“…From a small number of parsing rules the program derives complex configurations, each of which is associated with a set of reference points in a numerical representation of a time-continuum. …”
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Uniform person re-identification by Li, Dichen

“…Methods are categorized into human parsing (e.g., Self-Correction for Human Parsing – SCHP) and attention-based approaches (e.g., Head-shoulder Attention Network - HAA). …”
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Towards superior control in automatic face editing with generative adversarial networks by Zhang, Xijue

“…This project demonstrates that the face parsing model outputs masks that rivals manually labelled face datasets. …”
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Scene segmentation with deep neural networks by Shuai, Bing

“…In this thesis, we address the challenging task of scene segmentation, which generally refers to parsing a scene image into a set of coherent semantic regions. …”
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Filtering events using clustering in heterogeneous security logs by Hajamydeen, Asif Iqbal, Udzir, Nur Izura, Mahmod, Ramlan, Abd Ghani, Abdul Azim

“…Unfortunately parsing heterogeneous logs to extract the attribute values becomes tedious, since every type of log is stored in a proprietary format. …”
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Universal Dependencies for Learner English by Berzak, Yevgeni, Kenney, Jessica, Spadine, Carolyn, Wang, Jing Xian, Lam, Lucia, Mori, Keiko Sophie, Garza, Sebastian, Katz, Boris

“…Finally, we benchmark POS tagging and dependency parsing performance on the TLE dataset and measure the effect of grammatical errors on parsing accuracy. …”
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Joint multilingual learning for coreference resolution by Bodnari, Andreea

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Extracting representative arguments from dictionaries for resolving zero pronouns by Nichols, Eric, Bond, Francis, Tanaka, Takaaki, Nakaiwa, Hiromi, Nariyama, Shigeko

“…They are auto-extracted using both Shallow parsing and Deep parsing for greater quality and quantity. …”
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Automatic Creation of a Code Generator from a Machine Description by Miller, Perry L.

“…This paper studies some of the problems involved in attaining machine independence for a code generator, similar to the language independence and the token independence attained by automatic parsing and automatic lexical systems. In particular, the paper examines the logic involved in two areas of code generation: computation and data reference.…”
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