Language Resources and Evaluation 2018 — papers
The works of Language Resources and Evaluation published in 2018 that our library holds (publisher: Springer Science+Business Media): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.
Most cited papers
- MedSTS: a resource for clinical semantic textual similarity ↗Yanshan Wang, Naveed Afzal, Sunyang Fu et al.124 citations
- ShEMO: a large-scale validated database for Persian speech emotion detection ↗Omid Mohamad Nezami, Paria Jamshid Lou, Mansoureh Karami95 citations
- SlangSD: building, expanding and using a sentiment dictionary of slang words for short-text sentiment classification ↗Liang Wu, Fred Morstatter, Huan Liu74 citations
- Building and evaluating resources for sentiment analysis in the Greek language ↗Adam Tsakalidis, Symeon Papadopoulos, Rania Voskaki et al.48 citations
- Urdu part of speech tagging using conditional random fields ↗Wahab Khan, Ali Daud, Jamal Abdul Nasir et al.45 citations
- The Spoken Wikipedia Corpus collection: Harvesting, alignment and an application to hyperlistening ↗Timo Baumann, Arne Köhn, Felix Hennig43 citations
- The Talk of Norway: a richly annotated corpus of the Norwegian parliament, 1998–2016 ↗Emanuele Lapponi, Martin G. Søyland, Erik Velldal et al.39 citations
- Evaluating and improving lexical resources for detecting signs of depression in text ↗David E. Losada, Pablo Gamallo36 citations
- The Janes project: language resources and tools for Slovene user generated content ↗Darja Fišer, Nikola Ljubešić, Tomaž Erjavec33 citations
- Exploring the fine-grained analysis and automatic detection of irony on Twitter ↗Cynthia Van Hee, Els Lefever, Véronique Hoste30 citations
All works of the year (48)
- MedSTS: a resource for clinical semantic textual similarity ↗Yanshan Wang, Naveed Afzal, Sunyang Fu et al.124 citations
- ShEMO: a large-scale validated database for Persian speech emotion detection ↗Omid Mohamad Nezami, Paria Jamshid Lou, Mansoureh Karami95 citations
- SlangSD: building, expanding and using a sentiment dictionary of slang words for short-text sentiment classification ↗Liang Wu, Fred Morstatter, Huan Liu74 citations
- Building and evaluating resources for sentiment analysis in the Greek language ↗Adam Tsakalidis, Symeon Papadopoulos, Rania Voskaki et al.48 citations
- Urdu part of speech tagging using conditional random fields ↗Wahab Khan, Ali Daud, Jamal Abdul Nasir et al.45 citations
- The Spoken Wikipedia Corpus collection: Harvesting, alignment and an application to hyperlistening ↗Timo Baumann, Arne Köhn, Felix Hennig43 citations
- The Talk of Norway: a richly annotated corpus of the Norwegian parliament, 1998–2016 ↗Emanuele Lapponi, Martin G. Søyland, Erik Velldal et al.39 citations
- Evaluating and improving lexical resources for detecting signs of depression in text ↗David E. Losada, Pablo Gamallo36 citations
- The Janes project: language resources and tools for Slovene user generated content ↗Darja Fišer, Nikola Ljubešić, Tomaž Erjavec33 citations
- Exploring the fine-grained analysis and automatic detection of irony on Twitter ↗Cynthia Van Hee, Els Lefever, Véronique Hoste30 citations
- TermFinder: log-likelihood comparison and phrase-based statistical machine translation models for bilingual terminology extraction ↗Rejwanul Haque, Sergio Penkale, Andy Way28 citations
- Annotated news corpora and a lexicon for sentiment analysis in Slovene ↗Jože Bučar, Martin Žnidaršič, Janez Povh25 citations
- A word sense disambiguation corpus for Urdu ↗Ali Saeed, Rao Muhammad Adeel Nawab, Mark Stevenson et al.22 citations
- The DialogBank: dialogues with interoperable annotations ↗Harry Bunt, Volha V. Petukhova, Andrei Malchanau et al.22 citations
- Improving homograph disambiguation with supervised machine learning ↗Gleb Mazovetskiy, Kyle Gorman, Vitaly Nikolaev19 citations
- BlogSet-BR: A Brazilian Portuguese Blog Corpus ↗Henrique Dias Pereira dos Santos, Vinicius Woloszyn, Renata La Rocca Vieira16 citations
- VERTa: a linguistic approach to automatic machine translation evaluation ↗Elisabet Comelles, Jordi Atserias15 citations
- A Survey on Natural Language Processing for Fake News Detection ↗Ray Oshikawa, Jing Qian, William Yang Wang14 citations
- Open set evaluation of web genre identification ↗Dimitrios Pritsos, Efstathios Stamatatos12 citations
- COVER: a linguistic resource combining common sense and lexicographic information ↗Enrico Mensa, Daniele Paolo Radicioni, Antonio Lieto11 citations
- SenseDefs: a multilingual corpus of semantically annotated textual definitions ↗José Camacho-Collados, Claudio Delli Bovi, Alessandro Raganato et al.9 citations
- The impact of corpus domain on word representation: a study on Persian word embeddings ↗Amir Hadifar, Saeedeh Momtazi9 citations
- Applying data mining and machine learning techniques for sentiment shifter identification ↗Zeinab Rahimi, Samira Noferesti, Mehrnoush Shamsfard8 citations
- A Lexical Tool for Academic Writing in Spanish based on Expert and Novice Corpora ↗Marcos García Salido, Marcos García, Milka Villayandre Llamazares et al.6 citations
See all 48 papers in Language Resources and Evaluation 2018 — papers →
Works with our summary in our library (1)
- Studying the History of the Arabic Language: Language Technology and a Large-Scale Historical CorpusLanguage Resources and EvaluationYonatan Belinkov, Alexander Magidow, Alberto Barron-Cedeno, et al.2018 · 12 citations
Top topics
Fields
Arts and Humanities (1)Computer Science (1)
Top authors
🧑🔬Alberto Barrón-Cedeño1 work here · 12 citations🧑🔬Alexander Magidow1 work here · 12 citations🧑🔬Avi Shmidman1 work here · 12 citations🧑🔬Maxim Romanov1 work here · 12 citations🧑🔬Yonatan Belinkov1 work here · 12 citations
Top institutions
🎓University of ViennaVienna ·
Austria1 work here🎓Harvard UniversityCambridge ·
United States1 work here🎓Bar-Ilan UniversityRamat Gan ·
Israel1 work here🎓University of Rhode IslandKingston ·
United States1 work here🎓Hamad bin Khalifa UniversityDoha ·
Qatar1 work here🔬MIT Computer Science and Artificial Intelligence LaboratoryCambridge ·
United States1 work here🎓Massachusetts Institute of TechnologyCambridge ·
United States1 work here
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