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Cícero Nogueira dos Santos

6 أوراق في مجموعة PaperMetrix

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أوراق هذا المؤلف

  1. A Structured Self-Attentive Sentence Embedding.

    2017 · International Conference on Learning Representations

    This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention. Instead of using a vector, we use a 2-D matrix to represent the embedding, with each row of the matrix …

  2. Embedding-based Zero-shot Retrieval through Query Generation

    2020 · arXiv (Cornell University)

    Passage retrieval addresses the problem of locating relevant passages, usually from a large corpus, given a query. In practice, lexical term-matching algorithms like BM25 are popular choices for retrieval owing to their efficiency. However, term-based …

  3. Entity-level Factual Consistency of Abstractive Text Summarization

    2021

    Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cicero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen McKeown, Bing Xiang. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. …

  4. Boosting Named Entity Recognition with Neural Character Embeddings

    2015 · arXiv (Cornell University)

    Most state-of-the-art named entity recognition (NER) systems rely on handcrafted features and on the output of other NLP tasks such as part-of-speech (POS) tagging and text chunking. In this work we propose a language-independent NER …

  5. Attentive Pooling Networks

    2016 · arXiv (Cornell University)

    In this work, we propose Attentive Pooling (AP), a two-way attention mechanism for discriminative model training. In the context of pair-wise ranking or classification with neural networks, AP enables the pooling layer to be aware …

  6. Classifying Relations by Ranking with Convolutional Neural Networks

    2015 · arXiv (Cornell University)

    Cícero dos Santos, Bing Xiang, Bowen Zhou. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2015.