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Researcher profile

José Camacho-Collados

6 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Embedding Words and Senses Together via Joint Knowledge-Enhanced Training

    2016 · arXiv (Cornell University)

    Word embeddings are widely used in Natural Language Processing, mainly due to their success in capturing semantic information from massive corpora. However, their creation process does not allow the different meanings of a word to …

  2. Modelling Semantic Categories Using Conceptual Neighborhood

    2020 · Proceedings of the AAAI Conference on Artificial Intelligence

    While many methods for learning vector space embeddings have been proposed in the field of Natural Language Processing, these methods typically do not distinguish between categories and individuals. Intuitively, if individuals are represented as vectors, …

  3. NASARI: a Novel Approach to a Semantically-Aware Representation of Items

    2015

    José Camacho-Collados, Mohammad Taher Pilehvar, Roberto Navigli. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2015.

  4. Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison

    2017

    Word Sense Disambiguation is a longstanding task in Natural Language Processing, lying at the core of human language understanding. However, the evaluation of automatic systems has been problematic, mainly due to the lack of a …

  5. SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity

    2017

    This paper introduces a new task on Multilingual and Cross-lingual Semantic Word Similarity which measures the semantic similarity of word pairs within and across five languages: English, Farsi, German, Italian and Spanish. High quality datasets …

  6. XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond

    2022

    Language models are ubiquitous in current NLP, and their multilingual capacity has recently attracted considerable attention.However, current analyses have almost exclusively focused on (multilingual variants of) standard benchmarks, and have relied on clean pre-training and …