Ranking & Metrics
Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.
Research Impact Score:0.30
Contributing Best Scientists:2
H5-index:
Papers published by Best Scientists2
Research Ranking (Computer Science)66
Research Ranking (Psychology)39
Conference 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
Top Research Topics at Language Resources and Evaluation?
Artificial intelligence (64.26%)
Natural language processing (61.71%)
Annotation (15.86%)
Language Resources and Evaluation primarily tackles Artificial intelligence, Natural language processing, Annotation, Information retrieval and Task (project management).
Word (computer architecture), Computational linguistics, Parsing, Syntax and Machine translation are all topics related to Artificial intelligence research discussed.
While work presented in Language Resources and Evaluation provided substantial information on Natural language processing, it also covered topics in Speech recognition and Resource (project management).
Language Resources and Evaluation is focused mainly on Speech recognition, particularly Speech corpus.
Annotation and Scheme (programming language) are closely related fields of research discussed in it.
The research on Information retrieval featured in it combines topics in other fields like Ontology and Set (abstract data type).
The conference explores studies in Treebank as part of the wider topic of Dependency (UML).
What are the most cited papers published at the conference?
SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining. (2129 citations)
SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining (2124 citations)
Generating Typed Dependency Parses from Phrase Structure Parses (2102 citations)
Research areas of the most cited articles at Language Resources and Evaluation:
The published papers mostly deal with topics like Artificial intelligence, Natural language processing, Annotation, Information retrieval and Computational linguistics.
Artificial intelligence research in the conference papers connects with the study of Task (project management).
The most cited articles connects the study in Natural language processing with the closely related areas of Resource (project management).
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.
Research.com
Top authors and change 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.
Research.com
Top affiliations and change over time
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.
Research.com
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.
Research.com
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.
Research.com
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.
Research.com
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).
Research.com
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
