[1103.0398] Natural Language Processing (almost) from Scratch
Skip to main content
Search arXiv
Press Enter to search · Advanced search
-->
Computer Science > Machine Learning
arXiv:1103.0398 (cs)
[Submitted on 2 Mar 2011]
Title:Natural Language Processing (almost) from Scratch
Authors:Ronan Collobert, Jason Weston, Leon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel Kuksa<br>View a PDF of the paper titled Natural Language Processing (almost) from Scratch, by Ronan Collobert and 5 other authors
View PDF<br>HTML (experimental)
Abstract:We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunking, named entity recognition, and semantic role labeling. This versatility is achieved by trying to avoid task-specific engineering and therefore disregarding a lot of prior knowledge. Instead of exploiting man-made input features carefully optimized for each task, our system learns internal representations on the basis of vast amounts of mostly unlabeled training data. This work is then used as a basis for building a freely available tagging system with good performance and minimal computational requirements.
Subjects:
Machine Learning (cs.LG); Computation and Language (cs.CL)
Cite as:<br>arXiv:1103.0398 [cs.LG]
(or<br>arXiv:1103.0398v1 [cs.LG] for this version)
https://doi.org/10.48550/arXiv.1103.0398
Focus to learn more
arXiv-issued DOI via DataCite
Submission history<br>From: Ronan Collobert [view email]<br>[v1]<br>Wed, 2 Mar 2011 11:34:50 UTC (338 KB)
Full-text links:<br>Access Paper:
View a PDF of the paper titled Natural Language Processing (almost) from Scratch, by Ronan Collobert and 5 other authors<br>View PDF<br>HTML (experimental)<br>TeX Source
view license
Current browse context:
cs.LG
next >
new<br>recent<br>| 2011-03
Change to browse by:
cs<br>cs.CL
References & Citations
NASA ADS<br>Google Scholar
Semantic Scholar
1 blog link<br>(what is this?)
DBLP - CS Bibliography
listing | bibtex
Ronan Collobert<br>Jason Weston<br>Léon Bottou<br>Michael Karlen<br>Koray Kavukcuoglu …
export BibTeX citation<br>Loading...
BibTeX formatted citation
×
loading...
Data provided by:
Bookmark
Bibliographic Tools
Bibliographic and Citation Tools
Bibliographic Explorer Toggle
Bibliographic Explorer (What is the Explorer?)
Connected Papers Toggle
Connected Papers (What is Connected Papers?)
Litmaps Toggle
Litmaps (What is Litmaps?)
scite.ai Toggle
scite Smart Citations (What are Smart Citations?)
Code, Data, Media
Code, Data and Media Associated with this Article
alphaXiv Toggle
alphaXiv (What is alphaXiv?)
Links to Code Toggle
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub Toggle
DagsHub (What is DagsHub?)
GotitPub Toggle
Gotit.pub (What is GotitPub?)
Huggingface Toggle
Hugging Face (What is Huggingface?)
ScienceCast Toggle
ScienceCast (What is ScienceCast?)
Demos
Demos
Replicate Toggle
Replicate (What is Replicate?)
Spaces Toggle
Hugging Face Spaces (What is Spaces?)
Spaces Toggle
TXYZ.AI (What is TXYZ.AI?)
Related Papers
Recommenders and Search Tools
Link to Influence Flower
Influence Flower (What are Influence Flowers?)
Core recommender toggle
CORE Recommender (What is CORE?)
IArxiv recommender toggle
IArxiv Recommender<br>(What is IArxiv?)
Author
Venue
Institution
Topic
About arXivLabs
arXivLabs: experimental projects with community collaborators
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs .
Which authors of this paper are endorsers? |<br>Disable MathJax (What is MathJax?)
Major funding support from