Results 131 to 140 of about 59,222 (317)

The CoNLL 2007 shared task on dependency parsing

open access: yes, 2007
The Conference on Computational Natural Language Learning features a shared task, in which participants train and test their learning systems on the same data sets.
McDonald, Ryan   +6 more
core  

Robust Dependency Parsing of Spontaneous Japanese Speech and Its Evaluation [PDF]

open access: yes, 2004
Spontaneously spoken Japanese includes a lot of grammatically ill-formed linguistic phenomena such as fillers, hesitations, inversions, and so on, which do not appear in written language.
Ohno, Tomohiro   +6 more
core  

Splittability of bilexical context-free grammars is undecidable

open access: yes, 2011
Bilexical context-free grammars (2-LCFGs) have proved to be accurate models for statistical natural language parsing. Existing dynamic programming algorithms used to parse sentences under these models have running time of O(|w|^4), where w is the input ...
Satta, Giorgio   +4 more
core   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath   +4 more
wiley   +1 more source

Parsing [PDF]

open access: yesProceedings of the 18th annual meeting on Association for Computational Linguistics -, 1980
openaire   +1 more source

LFG without C-structures [PDF]

open access: yes, 2010
We explore the use of two dependency parsers, Malt and MST, in a Lexical Functional Grammar parsing pipeline. We compare this to the traditional LFG parsing pipeline which uses constituency parsers.
Foster, Jennifer   +5 more
core  

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Parsing [PDF]

open access: yesProceedings of the 19th annual meeting on Association for Computational Linguistics -, 1981
openaire   +1 more source

Typological Characteristics of Websites of Regional Mass Media (by the Example of the Republic of Tatarstan) [PDF]

open access: yesУченые записки Казанского университета: Серия Гуманитарные науки, 2016
The relevance of the study is determined by the low exploration degree of the typological characteristics of websites of regional mass media. The object of research is websites as a new form of contemporary mass media.
T.S. Staroverova
doaj  

DCU-Paris13 systems for the SANCL 2012 shared task [PDF]

open access: yes, 2012
The DCU-Paris13 team submitted three systems to the SANCL 2012 shared task on parsing English web text. The first submission, the highest ranked constituency parsing system, uses a combination of PCFG-LA product grammar parsing and self-training.
Foster, Jennifer   +5 more
core  

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