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TinyBERT: Distilling BERT for Natural Language Understanding
- Xiaoqi Jiao, Y. Yin, +5 authors Qun Liu
- Computer Science
- FINDINGS
- 23 September 2019
Language model pre-training, such as BERT, has significantly improved the performances of many natural language processing tasks. However, pre-trained language models are usually computationally… Expand
HHMM-based Chinese Lexical Analyzer ICTCLAS
- Huaping Zhang, Hongkui Yu, Deyi Xiong, Qun Liu
- Computer Science
- SIGHAN
- 11 July 2003
This document presents the results from Inst. of Computing Tech., CAS in the ACL SIGHAN-sponsored First International Chinese Word Segmentation Bake-off. The authors introduce the unified HHMM-based… Expand
TinyBERT: Distilling BERT for Natural Language Understanding
- Xiaoqi Jiao, Y. Yin, +5 authors Qun Liu
- Computer Science
- EMNLP
- 23 September 2019
Language model pre-training, such as BERT, has significantly improved the performances of many natural language processing tasks. However, pre-trained language models are usually computationally… Expand
ERNIE: Enhanced Language Representation with Informative Entities
Neural language representation models such as BERT pre-trained on large-scale corpora can well capture rich semantic patterns from plain text, and be fine-tuned to consistently improve the… Expand
Exploiting Cross-Sentence Context for Neural Machine Translation
- Longyue Wang, Zhaopeng Tu, A. Way, Qun Liu
- Computer Science
- EMNLP
- 14 April 2017
In translation, considering the document as a whole can help to resolve ambiguities and inconsistencies. In this paper, we propose a cross-sentence context-aware approach and investigate the… Expand
基於《知網》的辭彙語義相似度計算 (Word Similarity Computing Based on How-net)
Word similarity is broadly used in many applications, such as information retrieval, information extraction, text classification, word sense disambiguation, example -based machine translation, etc.… Expand
Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation
- Deyi Xiong, Qun Liu, Shouxun Lin
- Computer Science
- ACL
- 17 July 2006
We propose a novel reordering model for phrase-based statistical machine translation (SMT) that uses a maximum entropy (MaxEnt) model to predicate reorderings of neighbor blocks (phrase pairs). The… Expand
Findings of the 2017 Conference on Machine Translation (WMT17)
- Ondrej Bojar, R. Chatterjee, +13 authors M. Turchi
- Computer Science
- WMT
- 1 September 2017
This paper presents the results of the WMT17 shared tasks, which included
three machine translation (MT) tasks (news, biomedical, and multimodal), two evaluation tasks (metrics and run-time… Expand
Tree-to-String Alignment Template for Statistical Machine Translation
- Yang Liu, Qun Liu, Shouxun Lin
- Computer Science
- ACL
- 17 July 2006
We present a novel translation model based on tree-to-string alignment template (TAT) which describes the alignment between a source parse tree and a target string. A TAT is capable of generating… Expand
Doubly-Attentive Decoder for Multi-modal Neural Machine Translation
- Iacer Calixto, Qun Liu, N. Campbell
- Computer Science
- ACL
- 4 February 2017
We introduce a Multi-modal Neural Machine Translation model in which a doubly-attentive decoder naturally incorporates spatial visual features obtained using pre-trained convolutional neural… Expand
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