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Researcher profile

Piji Li

6 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion

    2019 · arXiv (Cornell University)

    For large-scale knowledge graphs (KGs), recent research has been focusing on the large proportion of infrequent relations which have been ignored by previous studies. For example few-shot learning paradigm for relations has been investigated. In …

  2. An Empirical Investigation of Domain Adaptation Ability for Chinese Spelling Check Models

    2024 · arXiv (Cornell University)

    Chinese Spelling Check (CSC) is a meaningful task in the area of Natural Language Processing (NLP) which aims at detecting spelling errors in Chinese texts and then correcting these errors. However, CSC models are based …

  3. Language Reconstruction with Brain Predictive Coding from fMRI Data

    2026

    Many recent studies have shown that the perception of speech can be decoded from brain signals and subsequently reconstructed as continuous language.However, there is a lack of neurological basis for how the semantic information embedded …

  4. Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization

    2017 · Proceedings of the AAAI Conference on Artificial Intelligence

    We propose a new unsupervised sentence salience framework for Multi-Document Summarization (MDS), which can be divided into two components: latent semantic modeling and salience estimation. For latent semantic modeling, a neural generative model called Variational …

  5. Neural Rating Regression with Abstractive Tips Generation for Recommendation

    2017

    Recently, some E-commerce sites launch a new interaction box called Tips on their mobile apps. Users can express their experience and feelings or provide suggestions using short texts typically several words or one sentence. In …

  6. Generating Distractors for Reading Comprehension Questions from Real Examinations

    2018 · arXiv (Cornell University)

    We investigate the task of distractor generation for multiple choice reading comprehension questions from examinations. In contrast to all previous works, we do not aim at preparing words or short phrases distractors, instead, we endeavor …