Philippe Langlais
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- Philippe Langlais (45)
- Guy Lapalme (13)
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- Julien Bourdaillet (3)
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- Frédéric Piedboeuf (2)
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Proceedings/Book Names
- Advances in Artificial Intelligence (4)
- AMTA '02: Proceedings of the 5th Conference of the Association for Machine Translation in the Americas on Machine Translation: From Research to Real Users (2)
- COMPUTERM '02: COLING-02 on COMPUTERM 2002: second international workshop on computational terminology - Volume 14 (2)
- ParaText '05: Proceedings of the ACL Workshop on Building and Using Parallel Texts (2)
- StatMT '06: Proceedings of the Workshop on Statistical Machine Translation (2)
- Advances in Artificial Intelligence (1)
- Canadian AI '09: Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence (1)
- COLING '10: Proceedings of the 23rd International Conference on Computational Linguistics (1)
- EACL '09: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (1)
- EmbedMT '00: ANLP-NAACL 2000 Workshop: Embedded Machine Translation Systems (1)
- EMNLP '02: Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10 (1)
- GoTAL '08: Proceedings of the 6th international conference on Advances in Natural Language Processing (1)
- HLT '02: Proceedings of the second international conference on Human Language Technology Research (1)
- HLT '05: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing (1)
- HLT-NAACL-PARALLEL '03: Proceedings of the HLT-NAACL 2003 Workshop on Building and using parallel texts: data driven machine translation and beyond - Volume 3 (1)
- ICAIL '21: Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law (1)
- LRTWRT '04: Proceedings of the Second International Workshop on Language Resources for Translation Work, Research and Training (1)
- NAACL-ANLP-EMTS '00: Proceedings of the 2000 NAACL-ANLP Workshop on Embedded machine translation systems - Volume 5 (1)
- StatMT '08: Proceedings of the Third Workshop on Statistical Machine Translation (1)
- WMT '10: Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR (1)
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- research-article
A new dataset for French and multilingual keyphrase generation
- Frédéric Piedboeuf
RALI, Diro, Université de Montréal
, - Philippe Langlais
RALI, Diro, Université de Montréal
NIPS '22: Proceedings of the 36th International Conference on Neural Information Processing Systems•November 2022, Article No.: 2757, pp 38046-38059Keyphrases are key components in efficiently dealing with the ever-increasing amount of information present on the internet. While there are many recent papers on English keyphrase generation, keyphrase generation for other languages remains vastly ...
- 0Citation
MetricsTotal Citations0- 1
Supplementary Material3600270.3603027_supp.pdf
- Frédéric Piedboeuf
- extended-abstractPublished By ACMPublished By ACM
Labels distribution matters in performance achieved in legal judgment prediction tasks
- Olivier Salaün
University of Montréal, Montréal, Québec, Canada
, - Philippe Langlais
University of Montréal, Montréal, Québec, Canada
, - Karim Benyekhlef
University of Montréal, Montréal, Québec, Canada
ICAIL '21: Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law•June 2021, pp 268-269• https://doi.org/10.1145/3462757.3466144In recent years, transformer [4] and BERT models [1] have been widely used in plain NLP tasks with the assumption that models first pretrained on massive corpora then fine-tuned on the dataset of a given task may suffice to achieve significant ...
- 0Citation
- 87
- Downloads
MetricsTotal Citations0Total Downloads87Last 12 Months9Last 6 weeks1
- Olivier Salaün
- Article
Word Representations, Seed Lexicons, Mapping Procedures, and Reference Lists: What Matters in Bilingual Lexicon Induction from Comparable Corpora?
- Martin Laville
LS2N, UMR CNRS 6004, Universite de Nantes, Nantes, France
, - Mérième Bouhandi
LS2N, UMR CNRS 6004, Universite de Nantes, Nantes, France
, - Emmanuel Morin
LS2N, UMR CNRS 6004, Universite de Nantes, Nantes, France
, - Philippe Langlais
Université de Montréal, H3C 3J7, Montreal, QC, Canada
Advances in Artificial Intelligence•May 2020, pp 349-355• https://doi.org/10.1007/978-3-030-47358-7_36AbstractMethods for bilingual lexicon induction are often based on word embeddings (WE) similarity. These methods must be able to project the WE to the same space. Uncontextualized WE proved to be useful for this task. We compare them to contextualized ...
- 0Citation
MetricsTotal Citations0
- Martin Laville
- Article
Personality Extraction Through LinkedIn
- Frédéric Piedboeuf
RALI, Université de Montréal, Montreal, Canada
, - Philippe Langlais
RALI, Université de Montréal, Montreal, Canada
, - Ludovic Bourg
LittleBIGJob, H3B 4W5, Montreal, QC, Canada
AbstractLinkedIn is a professional social network used by many recruiters as a way to look for potential employees and communicate with them. In order to facilitate communication, it is possible to use personality models to gain a better understanding of ...
- 0Citation
MetricsTotal Citations0
- Frédéric Piedboeuf
- Article
Learning Career Progression by Mining Social Media Profiles
- Zakaria Soliman
Université de Montréal, H3C 3J7, Montreal, QC, Canada
, - Philippe Langlais
Université de Montréal, H3C 3J7, Montreal, QC, Canada
, - Ludovic Bourg
LittleBIGJob, H3B 4W5, Montreal, QC, Canada
Advances in Artificial Intelligence•May 2019, pp 446-452• https://doi.org/10.1007/978-3-030-18305-9_43AbstractWith the popularity of social media, large amounts of data have given us the possibility to learn and build products to optimize certain areas of our existence. In this work, we focus on exploring methods by which we can model the career ...
- 0Citation
MetricsTotal Citations0
- Zakaria Soliman
- Article
Weakly Supervised, Data-Driven Acquisition of Rules for Open Information Extraction
- Fabrizio Gotti
RALI, Université de Montréal, CP 6128 Succ. Centre-Ville, H3C 3J7, Montreal, Canada
, - Philippe Langlais
RALI, Université de Montréal, CP 6128 Succ. Centre-Ville, H3C 3J7, Montreal, Canada
AbstractWe propose a way to acquire rules for Open Information Extraction, based on lemma sequence patterns (including potential typographical symbols) linking two named entities in a sentence. Rule acquisition is data-driven and requires little ...
- 0Citation
MetricsTotal Citations0
- Fabrizio Gotti
- Article
Automatically Learning a Human-Resource Ontology from Professional Social-Network Data
- David Alfonso-Hermelo
Université de Montréal, H3C 3J7, Montreal, Quebec, Canada
, - Philippe Langlais
Université de Montréal, H3C 3J7, Montreal, Quebec, Canada
, - Ludovic Bourg
LittleBIGJob, H3B 4W5, Montreal, Quebec, Canada
Advances in Artificial Intelligence•May 2019, pp 132-145• https://doi.org/10.1007/978-3-030-18305-9_11AbstractIn this work, we build an ontology (automatically learned) in the domain of Human Ressources by using a simple, efficient and undemanding procedure. Our principal challenge is to tackle the problem of automatically grouping human-provided job ...
- 1Citation
MetricsTotal Citations1
- David Alfonso-Hermelo
- Article
Harnessing Open Information Extraction for Entity Classification in a French Corpus
- Fabrizio Gotti
RALI, Université de Montréal, Montréal, Canada
, - Philippe Langlais
RALI, Université de Montréal, Montréal, Canada
Proceedings of the 29th Canadian Conference on Artificial Intelligence on Advances in Artificial Intelligence - Volume 9673•May 2016, pp 150-161• https://doi.org/10.1007/978-3-319-34111-8_20We describe a recall-oriented open information extraction system designed to extract knowledge from French corpora. We put it to the test by showing that general domain information triples extracted from French Wikipedia can be used for deriving new ...
- 0Citation
MetricsTotal Citations0
- Fabrizio Gotti
- research-articlefree
Identifying parallel documents from a large bilingual collection of texts: application to parallel article extraction in Wikipedia
- Alexandre Patry
KeaText, Boulevard Dcarie, bureau, Saint-Laurent, Canada
, - Philippe Langlais
DIRO/RALI, Université de Montréal, Montréal, Canada
BUCC '11: Proceedings of the 4th Workshop on Building and Using Comparable Corpora: Comparable Corpora and the Web•June 2011, pp 87-95While several recent works on dealing with large bilingual collections of texts, e.g. (Smith et al., 2010), seek for extracting parallel sentences from comparable corpora, we present Paradocs, a system designed to recognize pairs of parallel documents ...
- 2Citation
- 190
- Downloads
MetricsTotal Citations2Total Downloads190Last 12 Months33Last 6 weeks9
- Alexandre Patry
- Article
Comparing distributional and mirror translation similarities for extracting synonyms
- Philippe Muller
IRIT, Univ. Toulouse & Alpage, INRIA
, - Philippe Langlais
DIRO, Univ. Montréal
Canadian AI'11: Proceedings of the 24th Canadian conference on Advances in artificial intelligence•May 2011, pp 323-334Automated thesaurus construction by collecting relations between lexical items (synonyms, antonyms, etc) has a long tradition in natural language processing. This has been done by exploiting dictionary structures or distributional context regularities (...
- 0Citation
MetricsTotal Citations0
- Philippe Muller
- Article
Reducing overdetections in a French symbolic grammar checker by classification
- Fabrizio Gotti
DIRO, Univ. de Montréal, Montréal, Québec, Canada
, - Philippe Langlais
DIRO, Univ. de Montréal, Montréal, Québec, Canada
, - Guy Lapalme
DIRO, Univ. de Montréal, Montréal, Québec, Canada
, - Simon Charest
Druide Informatique, Montréal, Québec, Canada
, - Éric Brunelle
Druide Informatique, Montréal, Québec, Canada
CICLing'11: Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part II•February 2011, pp 390-401We describe the development of an "overdetection" identifier, a system for filtering detections erroneously flagged by a grammar checker. Various families of classifiers have been trained in a supervised way for 14 types of detections made by a ...
- 0Citation
MetricsTotal Citations0
- Fabrizio Gotti
- article
TransSearch: from a bilingual concordancer to a translation finder
- Julien Bourdaillet
DIRO--Université de Montréal, Montréal, Canada H3C 3J7
, - Stéphane Huet
DIRO--Université de Montréal, Montréal, Canada H3C 3J7
, - Philippe Langlais
DIRO--Université de Montréal, Montréal, Canada H3C 3J7
, - Guy Lapalme
DIRO--Université de Montréal, Montréal, Canada H3C 3J7
Machine Translation, Volume 24, Issue 3-4•December 2010, pp 241-271 • https://doi.org/10.1007/s10590-011-9089-6As basic as bilingual concordancers may appear, they are some of the most widely used computer-assisted translation tools among professional translators. Nevertheless, they still do not benefit from recent breakthroughs in machine translation. This ...
- 6Citation
MetricsTotal Citations6
- Julien Bourdaillet
- research-articlefree
Revisiting context-based projection methods for term-translation spotting in comparable corpora
- Audrey Laroche
Université de Montréal
, - Philippe Langlais
Université de Montréal
COLING '10: Proceedings of the 23rd International Conference on Computational Linguistics•August 2010, pp 617-625Context-based projection methods for identifying the translation of terms in comparable corpora has attracted a lot of attention in the community, e.g. (Fung, 1998; Rapp, 1999). Surprisingly, none of those works have systematically investigated the ...
- 17Citation
- 304
- Downloads
MetricsTotal Citations17Total Downloads304Last 12 Months9Last 6 weeks1
- Audrey Laroche
- research-articlefree
The RALI machine translation system for WMT 2010
- Stéphane Huet
Université de Montréal, Montréal, Québec, Canada
, - Julien Bourdaillet
Université de Montréal, Montréal, Québec, Canada
, - Alexandre Patry
Université de Montréal, Montréal, Québec, Canada
, - Philippe Langlais
Université de Montréal, Montréal, Québec, Canada
WMT '10: Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR•July 2010, pp 103-109We describe our system for the translation task of WMT 2010. This system, developed for the English-French and French-English directions, is based on Moses and was trained using only the resources supplied for the workshop. We report experiments to ...
- 2Citation
- 80
- Downloads
MetricsTotal Citations2Total Downloads80Last 12 Months25Last 6 weeks3
- Stéphane Huet
- Article
Unsupervised morphological analysis by formal analogy
- Jean-François Lavallée
DIRO, Université de Montréal, Montréal, Canada
, - Philippe Langlais
DIRO, Université de Montréal, Montréal, Canada
CLEF'09: Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments•September 2009, pp 617-624While classical approaches to unsupervised morphology acquisition often rely on metrics based on information theory for identifying morphemes, we describe a novel approach relying on the notion of formal analogy. A formal analogy is a relation between ...
- 1Citation
MetricsTotal Citations1
- Jean-François Lavallée
- Article
Enhancing the Bilingual Concordancer TransSearch with Word-Level Alignment
- Julien Bourdaillet
Département d'Informatique et de Recherche Opérationnelle, Université de Montréal, Montréal, Canada H3C 3J7
, - Stéphane Huet
Département d'Informatique et de Recherche Opérationnelle, Université de Montréal, Montréal, Canada H3C 3J7
, - Fabrizio Gotti
Département d'Informatique et de Recherche Opérationnelle, Université de Montréal, Montréal, Canada H3C 3J7
, - Guy Lapalme
Département d'Informatique et de Recherche Opérationnelle, Université de Montréal, Montréal, Canada H3C 3J7
, - Philippe Langlais
Département d'Informatique et de Recherche Opérationnelle, Université de Montréal, Montréal, Canada H3C 3J7
Canadian AI '09: Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence•May 2009, pp 27-38• https://doi.org/10.1007/978-3-642-01818-3_6Despite the impressive amount of recent studies devoted to improving the state of the art of Machine Translation (MT), Computer Assisted Translation (CAT) tools remain the preferred solution of human translators when publication quality is of concern. ...
- 1Citation
MetricsTotal Citations1
- Julien Bourdaillet
- research-articlefree
Improvements in analogical learning: application to translating multi-terms of the medical domain
- Philippe Langlais
Univ. of Montreal, Canada
, - François Yvon
Univ. Paris-Sud XI, France
, - Pierre Zweigenbaum
Univ. Paris-Sud XI, France
EACL '09: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics•March 2009, pp 487-495Handling terminology is an important matter in a translation workflow. However, current Machine Translation (MT) systems do not yet propose anything proactive upon tools which assist in managing terminological databases. In this work, we investigate ...
- 0Citation
- 228
- Downloads
MetricsTotal Citations0Total Downloads228Last 12 Months60Last 6 weeks6
- Philippe Langlais
- Article
Analogical Translation of Medical Words in Different Languages
- Philippe Langlais
Dept I.R.O., Université de Montréal, Québec, Canada H3C 3J7
, - François Yvon
CNRS, LIMSI, Orsay, France F-91403
, - Pierre Zweigenbaum
CNRS, LIMSI, Orsay, France F-91403
GoTAL '08: Proceedings of the 6th international conference on Advances in Natural Language Processing•August 2008, pp 284-295• https://doi.org/10.1007/978-3-540-85287-2_27Term translation has become a recurring need in many domains. This creates an interest for robust methods which can translate words in various languages. We propose a novel, analogy-based method to generate word translations. It relies on a partial ...
- 1Citation
MetricsTotal Citations1
- Philippe Langlais
- research-articlefree
LIMSI's statistical translation systems for WMT'08
- Daniel Déchelotte
LIMSI/CNRS
, - Gilles Adda
LIMSI/CNRS
, - Alexandre Allauzen
LIMSI/CNRS
, - Hélène Bonneau-Maynard
LIMSI/CNRS
, - Olivier Galibert
LIMSI/CNRS
, - Jean-Luc Gauvain
LIMSI/CNRS
, - Philippe Langlais
LIMSI/CNRS
, - François Yvon
LIMSI/CNRS
StatMT '08: Proceedings of the Third Workshop on Statistical Machine Translation•June 2008, pp 107-110This paper describes our statistical machine translation systems based on the Moses toolkit for the WMT08 shared task. We address the Europarl and News conditions for the following language pairs: English with French, German and Spanish. For Europarl, n-...
- 8Citation
- 210
- Downloads
MetricsTotal Citations8Total Downloads210Last 12 Months42Last 6 weeks6
- Daniel Déchelotte
- research-articlefree
Mood at work: Ramses versus Pharaoh
- Alexandre Patry
Université de Montréal
, - Fabrizio Gotti
Université de Montréal
, - Philippe Langlais
Université de Montréal
We present here the translation system we used in this year's WMT shared task. The main objective of our participation was to test Ramses, an open source phrase-based decoder. For that purpose, we used the baseline system made available by the ...
- 2Citation
- 178
- Downloads
MetricsTotal Citations2Total Downloads178Last 12 Months24Last 6 weeks3
- Alexandre Patry
Author Profile Pages
- Description: The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM bibliographic database, the Guide. Coverage of ACM publications is comprehensive from the 1950's. Coverage of other publishers generally starts in the mid 1980's. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community.
Please see the following 2007 Turing Award winners' profiles as examples: - History: Disambiguation of author names is of course required for precise identification of all the works, and only those works, by a unique individual. Of equal importance to ACM, author name normalization is also one critical prerequisite to building accurate citation and download statistics. For the past several years, ACM has worked to normalize author names, expand reference capture, and gather detailed usage statistics, all intended to provide the community with a robust set of publication metrics. The Author Profile Pages reveal the first result of these efforts.
- Normalization: ACM uses normalization algorithms to weigh several types of evidence for merging and splitting names.
These include:- co-authors: if we have two names and cannot disambiguate them based on name alone, then we see if they have a co-author in common. If so, this weighs towards the two names being the same person.
- affiliations: names in common with same affiliation weighs toward the two names being the same person.
- publication title: names in common whose works are published in same journal weighs toward the two names being the same person.
- keywords: names in common whose works address the same subject matter as determined from title and keywords, weigh toward being the same person.
The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. Many bibliographic records have only author initials. Many names lack affiliations. With very common family names, typical in Asia, more liberal algorithms result in mistaken merges.
Automatic normalization of author names is not exact. Hence it is clear that manual intervention based on human knowledge is required to perfect algorithmic results. ACM is meeting this challenge, continuing to work to improve the automated merges by tweaking the weighting of the evidence in light of experience.
- Bibliometrics: In 1926, Alfred Lotka formulated his power law (known as Lotka's Law) describing the frequency of publication by authors in a given field. According to this bibliometric law of scientific productivity, only a very small percentage (~6%) of authors in a field will produce more than 10 articles while the majority (perhaps 60%) will have but a single article published. With ACM's first cut at author name normalization in place, the distribution of our authors with 1, 2, 3..n publications does not match Lotka's Law precisely, but neither is the distribution curve far off. For a definition of ACM's first set of publication statistics, see Bibliometrics
- Future Direction:
The initial release of the Author Edit Screen is open to anyone in the community with an ACM account, but it is limited to personal information. An author's photograph, a Home Page URL, and an email may be added, deleted or edited. Changes are reviewed before they are made available on the live site.
ACM will expand this edit facility to accommodate more types of data and facilitate ease of community participation with appropriate safeguards. In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing.
A direct search interface for Author Profiles will be built.
An institutional view of works emerging from their faculty and researchers will be provided along with a relevant set of metrics.
It is possible, too, that the Author Profile page may evolve to allow interested authors to upload unpublished professional materials to an area available for search and free educational use, but distinct from the ACM Digital Library proper. It is hard to predict what shape such an area for user-generated content may take, but it carries interesting potential for input from the community.
Bibliometrics
The ACM DL is a comprehensive repository of publications from the entire field of computing.
It is ACM's intention to make the derivation of any publication statistics it generates clear to the user.
- Average citations per article = The total Citation Count divided by the total Publication Count.
- Citation Count = cumulative total number of times all authored works by this author were cited by other works within ACM's bibliographic database. Almost all reference lists in articles published by ACM have been captured. References lists from other publishers are less well-represented in the database. Unresolved references are not included in the Citation Count. The Citation Count is citations TO any type of work, but the references counted are only FROM journal and proceedings articles. Reference lists from books, dissertations, and technical reports have not generally been captured in the database. (Citation Counts for individual works are displayed with the individual record listed on the Author Page.)
- Publication Count = all works of any genre within the universe of ACM's bibliographic database of computing literature of which this person was an author. Works where the person has role as editor, advisor, chair, etc. are listed on the page but are not part of the Publication Count.
- Publication Years = the span from the earliest year of publication on a work by this author to the most recent year of publication of a work by this author captured within the ACM bibliographic database of computing literature (The ACM Guide to Computing Literature, also known as "the Guide".
- Available for download = the total number of works by this author whose full texts may be downloaded from an ACM full-text article server. Downloads from external full-text sources linked to from within the ACM bibliographic space are not counted as 'available for download'.
- Average downloads per article = The total number of cumulative downloads divided by the number of articles (including multimedia objects) available for download from ACM's servers.
- Downloads (cumulative) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server since the downloads were first counted in May 2003. The counts displayed are updated monthly and are therefore 0-31 days behind the current date. Robotic activity is scrubbed from the download statistics.
- Downloads (12 months) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 12-month period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (12-month download counts for individual works are displayed with the individual record.)
- Downloads (6 weeks) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 6-week period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (6-week download counts for individual works are displayed with the individual record.)
ACM Author-Izer Service
Summary Description
ACM Author-Izer is a unique service that enables ACM authors to generate and post links on both their homepage and institutional repository for visitors to download the definitive version of their articles from the ACM Digital Library at no charge.
Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning.
ACM Author-Izer also extends ACM’s reputation as an innovative “Green Path” publisher, making ACM one of the first publishers of scholarly works to offer this model to its authors.
To access ACM Author-Izer, authors need to establish a free ACM web account. Should authors change institutions or sites, they can utilize the new ACM service to disable old links and re-authorize new links for free downloads from a different site.
How ACM Author-Izer Works
Authors may post ACM Author-Izer links in their own bibliographies maintained on their website and their own institution’s repository. The links take visitors to your page directly to the definitive version of individual articles inside the ACM Digital Library to download these articles for free.
The Service can be applied to all the articles you have ever published with ACM.
Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.
For authors who do not have a free ACM Web Account:
- Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.
For authors who have an ACM web account, but have not edited their ACM Author Profile page:
- Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.
For authors who have an account and have already edited their Profile Page:
- Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"
ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.
Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.
FAQ
- Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
- Q. What articles are eligible for ACM Author-Izer?
- A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.
- Q. Are there any restrictions on authors to use this service?
- A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.
- Q. What are the requirements to use this service?
- A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.
- Q. What is an ACM Author Profile Page?
- A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.
- Q. How do I find my Author Profile page and take ownership?
- A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours
- Q. Why does my photo not appear?
- A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters
- Q. What if I cannot find the Add Personal Information function on my author page?
- A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.
- Q. What happens if an author changes the location of his bibliography or moves to a new institution?
- A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.
- Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
- A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.
However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.
- Q. What happens if the author’s bibliography lives on a page with several aliases?
- A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.
- Q. Why should authors use ACM Author-Izer?
- A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.
- Q. Does ACM Author-Izer provide benefits for authors?
- A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.
Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.
- Q. How does ACM Author-Izer benefit the computing community?
- A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.
In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.
- Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
- A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.
- Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
- A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner