Buzhou Tang

Gated Semantic Difference Based Sentence Semantic Equivalence Identification

2020 · IEEE/ACM Transactions on Audio Speech and Language Processing

This article proposes a novel sentence semantic equivalence identification (SSEI) method by using the semantic difference features between sentences. The lexical differences of a sentence pair are first extracted, and the bidirectional long short term …

KEoG: A knowledge-aware edge-oriented graph neural network for document-level relation extraction

2020

Document-level relation extraction (RE) has attracted more and more attentions recently. Edge-oriented graph neural network (EoG) is a new neural network exhibiting greater potential than previous node-oriented graph neural networks for document-level RE. In this …

A Unified Machine Reading Comprehension Framework for Cohort Selection

2021 · IEEE Journal of Biomedical and Health Informatics

Cohort selection is an essential prerequisite for clinical research, determining whether an individual satisfies given selection criteria. Previous works for cohort selection usually treated each selection criterion independently and ignored not only the meaning of …

Health Natural Language Processing: Methodology Development and Applications (Preprint)

2020

<sec> <title>UNSTRUCTURED</title> With the rapid growth of information technology, the necessity for processing substantial amounts of health data using advanced information technologies is increasing. A large amount of valuable data exists in natural text such …

Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis

2024 · arXiv (Cornell University)

This work proposes a novel and simple sequential learning strategy to train models on videos and texts for multimodal sentiment analysis. To estimate sentiment polarities on unseen out-of-distribution data, we introduce a multimodal model that …

LCQMC:A Large-scale Chinese Question Matching Corpus

2018 · International Conference on Computational Linguistics

The lack of large-scale question matching corpora greatly limits the development of matching methods in question answering (QA) system, especially for non-English languages. To ameliorate this situation, in this paper, we introduce a large-scale Chinese …

The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification

2018

This paper introduces the Bank Question (BQ) corpus, a Chinese corpus for sentence semantic equivalence identification (SSEI). The BQ corpus contains 120,000 question pairs from 1-year online bank custom service logs. To efficiently process and …