Chengqing Zong

A Unified Model for Solving the OOV Problem of Chinese Word Segmentation

2015 · ACM Transactions on Asian and Low-Resource Language Information Processing

This article proposes a unified, character-based, generative model to incorporate additional resources for solving the out-of-vocabulary (OOV) problem of Chinese word segmentation, within which different types of additional information can be utilized independently in corresponding …

An Empirical Exploration of Skip Connections for Sequential Tagging

2016 · arXiv (Cornell University)

In this paper, we empirically explore the effects of various kinds of skip connections in stacked bidirectional LSTMs for sequential tagging. We investigate three kinds of skip connections connecting to LSTM cells: (a) skip connections …

Sequence Generation: From Both Sides to the Middle

2019 · arXiv (Cornell University)

The encoder-decoder framework has achieved promising process for many sequence generation tasks, such as neural machine translation and text summarization. Such a framework usually generates a sequence token by token from left to right, hence …

Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions

2022 · arXiv (Cornell University)

Role-oriented dialogue summarization is to generate summaries for different roles in the dialogue, e.g., merchants and consumers. Existing methods handle this task by summarizing each role's content separately and thus are prone to ignore the …

Language Cognition and Language Computation -- Human and Machine Language Understanding

2023 · arXiv (Cornell University)

Language understanding is a key scientific issue in the fields of cognitive and computer science. However, the two disciplines differ substantially in the specific research questions. Cognitive science focuses on analyzing the specific mechanism of …

Deep Neural Networks in Machine Translation: An Overview

2015 · IEEE Intelligent Systems

Deep neural networks (DNNs) are widely used in machine translation (MT). This article gives an overview of DNN applications in various aspects of MT.

Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video

2017

The rapid increase in multimedia data transmission over the Internet necessitates the multi-modal summarization (MMS) from collections of text, image, audio and video. In this work, we propose an extractive multi-modal summarization method that can …

Multi-modal Sentence Summarization with Modality Attention and Image Filtering

2018

In this paper, we introduce a multi-modal sentence summarization task that produces a short summary from a pair of sentence and image. This task is more challenging than sentence summarization. It not only needs to …

End-to-End Speech Translation with Knowledge Distillation

2019

End-to-end speech translation (ST), which directly translates from source language speech into target language text, has attracted intensive attentions in recent years.Compared to conventional pipepine systems, end-to-end ST models have advantages of lower latency, smaller …