Tasks
A task is an activity proposed with the purpose of solving a specific NLP problem, generally within the framework of a competition. Below is information about NLP tasks in Spanish from 2013 to the present.
Inflected form prediction CoNLL 2017
- NLP topic: morphology
- Dataset: CoNLL-SIGMORPHON-ES
- Forum: CoNLL
- Competition: CoNLL–SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection
- Domain:
- Language(s): Spanish, English
Person name disambiguation IberEVAL 2017
- NLP topic: information retrieval
- Dataset: M-WeP-NaD-2017
- Forum: IberEVAL
- Competition: Multilingual Web Person Name Disambiguation (M-WePNaD)
- Domain:
- Language(s): Spanish, English
Completion of inflectional paradigm CoNLL 2017
- NLP topic: morphology
- Dataset: CoNLL-SIGMORPHON-ES
- Forum: CoNLL
- Competition: CoNLL–SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection
- Domain:
- Language(s): Spanish, English
Multilingual semantic word similarity SEMEVAL 2017
- NLP topic: text similarity
- Dataset: Word-similarity-2017-es
- Forum: SEMEVAL
- Competition: SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity
- Domain:
- Language(s): Spanish, English
Semantic textual similarity es-en SEMEVAL 2017
- NLP topic: text similarity
- Dataset: STS 2017-es-en
- Forum: SEMEVAL
- Competition: SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation
- Domain:
- Language(s): Spanish, English
Universal dependency parsing CoNLL 2017
- NLP topic: parsing
- Dataset: UD2.0-es
- Forum: CoNLL
- Competition: CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- Domain:
- Language(s): Spanish, English
Semantic textual similarity es-en wmt SEMEVAL 2017
- NLP topic: text similarity
- Dataset: STS 2017-es-en-WMT
- Forum: SEMEVAL
- Competition: SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation
- Domain:
- Language(s): Spanish, English
If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.
