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Administration for Community Living

13th Language Resources and Evaluation Conference (LREC)

Location: Marseille , France

Submission deadline: 1/17/2022

Conference dates: 6/20/2022 - 6/25/2022

Research H-index
29

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 70 164 205 28

Call for Papers

Issues in the design, construction and use of LRs: text, speech, sign, gesture, image, in single or multimodal/multimedia data

Guidelines, standards, best practices and models for LRs interoperability
Methodologies and tools for LRs construction and annotation
Methodologies and tools for extraction and acquisition of knowledge
Ontologies, terminology and knowledge representation
LRs and Semantic Web (including Linked Data, Knowledge Graphs, etc.)
LRs and Crowdsourcing
Metadata for LRs and semantic/content mark-up
Exploitation of LRs in systems and applications

Sign language, multimedia information and multimodal communication
LRs in systems and applications such as: information extraction, information retrieval, audio-visual and multimedia search, speech dictation, meeting transcription, Computer-Aided Language Learning, training and education, mobile communication, machine translation, speech translation, summarisation, semantic search, text mining, inferencing, reasoning, sentiment analysis/opinion mining, etc.
Interfaces: (speech-based) dialogue systems, natural language and multimodal/multisensory interactions, voice-activated services, etc.
Use of (multilingual) LRs in various fields of application like e-government, e-participation, e-culture, e-health, mobile applications, digital humanities, social sciences, etc.
Industrial LRs requirements
User needs, LT for accessibility
LRs in the age of deep neural networks

Semi-supervised, weakly-supervised and unsupervised machine learning approaches
Representation Learning for language
Techniques for (semi-)automatically generating training data
Cross-language NLP & Cross-domain NLP with reduction of human effort
Issues in LT evaluation

LT evaluation methodologies, protocols and measures
Validation and quality assurance of LRs
Benchmarking of systems and products
Usability evaluation of HLT-based user interfaces and dialogue systems
User satisfaction evaluation
General issues regarding LRs & Evaluation

International and national activities, projects and initiatives
Priorities, perspectives, strategies in national and international policies for LRs
Multilingual issues, language coverage and diversity, less-resourced languages
Open, linked and shared data and tools, open and collaborative architectures
Replicability and reproducibility issues
Organisational, economical, ethical and legal issues

Overview

This ranking presents a comprehensive evaluation of scientific conferences within the field of Psychology, drawing on data-driven methodologies to ensure accuracy and credibility. Developed by Research.com, a leading platform recognized for providing trusted data on scientific contributions across all major fields since 2014, the ranking is intended to guide researchers, academics, and institutions in identifying the preeminent forums for psychological research dissemination.

The positioning of conferences in this list is determined by a unique bibliometric score, meticulously developed by Research.com. This score is computed using a combination of the estimated h-index and the number of leading scientists who have presented at the conference during the preceding three years. By integrating these multiple dimensions of academic impact, the score offers a nuanced and reliable indicator of a conference’s scholarly influence.

Impact Score values utilized in this ranking were gathered as of 2024-11-27, ensuring the assessment reflects the most recent developments and participation trends within the domain. The ranking process was both extensive and rigorous, involving the examination of more than 377 conferences. These conferences were shortlisted following a detailed review and critical analysis of over 871 scientific documents published within the last three years. The evaluation further incorporated contributions from 10,697 leading and well-respected scientists, emphasizing both the depth and breadth of the research informing this ranking.

To maintain transparency and to provide users with further insight into the methodology underpinning these rankings, detailed information is available on our Methodology Page. We encourage readers to consult this resource for a thorough understanding of the processes and criteria employed in the computation of ranking scores.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing at Language Resources and Evaluation (based on the number of publications) are:

  • Nizar Habash (34 papers) published 5 papers at the last edition, 3 less than at the previous edition,
  • Piek Vossen (32 papers) published 4 papers at the last edition, 1 less than at the previous edition,
  • Stephanie Strassel (32 papers) published 4 papers at the last edition, 1 less than at the previous edition,
  • Khalid Choukri (31 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Núria Bel (30 papers) published 1 paper at the last edition the same number as at the previous edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing at Language Resources and Evaluation (based on the number of publications) are:

  • Charles University in Prague (117 papers) published 12 papers at the last edition, 3 less than at the previous edition,
  • Saarland University (110 papers) published 19 papers at the last edition, 4 more than at the previous edition,
  • University of Pennsylvania (107 papers) published 13 papers at the last edition, 4 more than at the previous edition,
  • National Research Council (107 papers) published 13 papers at the last edition, 3 more than at the previous edition,
  • German Research Centre for Artificial Intelligence (103 papers) published 16 papers at the last edition, 5 more than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2020 edition, 9.55% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.71% were posted by at least one author from the top 10 institutions publishing at the conference. Another 10.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.31% of all publications and 57.98% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Prospects in Language Resources and Evaluation Field

If you're fascinated by the topics and researches being conducted at Language Resources and Evaluation, it might be interesting for you to explore a career in this field. The field of Language Resources and Evaluation is diverse, encompassing areas such as Artificial Intelligence, Natural Language Processing, Annotation, and various others. All of these have considerable applications in today's technology-driven world, which makes a career in this field promising. For instance, becoming a Board Certified Behavior Analyst (BCBA) could be one potential pathway to immerse yourself fully in this intriguing field. In the state of Oregon, the demand for BCBAs has seen a substantial rise. But the journey to becoming a BCBA involves certain prerequisites and a rigorous examination. An online course could be a convenient way to fulfill these prerequisites. You can learn more about becoming a BCBA in Oregon by visiting the following link: how to become a bcba in oregon online. This could potentially serve as the first step of your journey towards a rewarding career in the field of Language Resources and Evaluation.

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Best Scientists who published in this Conference