416 citations · 913 across the 63 of their papers we have counts for
63 papers
Copy Is All You Need
Tian Lan, Deng Cai, Yan Wang +2
The dominant text generation models compose the output by sequentially selecting words from a fixed vocabulary. In this paper, we formulate text generation as progressively copying…
SciMRC: Multi-perspective Scientific Machine Reading Comprehension
Xiao Zhang, Heqi Zheng, Yuxiang Nie +2
Scientific machine reading comprehension (SMRC) aims to understand scientific texts through interactions with humans by given questions. As far as we know, there is only one datase…
Boosting Event Extraction with Denoised Structure-to-Text Augmentation
bo wang, Heyan Huang, Xiaochi Wei +6
Event extraction aims to recognize pre-defined event triggers and arguments from texts, which suffer from the lack of high-quality annotations. In most NLP applications, involving…
Measuring Cross-Lingual Transferability of Multilingual Transformers on Sentence Classification
Zewen Chi, Heyan Huang, Xian-Ling Mao
Recent studies have exhibited remarkable capabilities of pre-trained multilingual Transformers, especially cross-lingual transferability. However, current methods do not measure cr…
AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph Walking
Yuxiang Nie, Heyan Huang, Wei Wei +1
Annotating long-document question answering (long-document QA) pairs is time-consuming and expensive. To alleviate the problem, it might be possible to generate long-document QA pa…
Bridging The Gap: Entailment Fused-T5 for Open-retrieval Conversational Machine Reading Comprehension
Xiao Zhang, Heyan Huang, Zewen Chi +1
Open-retrieval conversational machine reading comprehension (OCMRC) simulates real-life conversational interaction scenes. Machines are required to make a decision of "Yes/No/Inqui…
Momentum Decoding: Open-ended Text Generation As Graph Exploration
Tian Lan, Yixuan Su, Shuhang Liu +2
Open-ended text generation with autoregressive language models (LMs) is one of the core tasks in natural language processing. However, maximization-based decoding methods (e.g., gr…
Revisiting Grammatical Error Correction Evaluation and Beyond
Peiyuan Gong, Xuebo Liu, Heyan Huang +1
Pretraining-based (PT-based) automatic evaluation metrics (e.g., BERTScore and BARTScore) have been widely used in several sentence generation tasks (e.g., machine translation and…
Capturing Global Structural Information in Long Document Question Answering with Compressive Graph Selector Network
Yuxiang Nie, Heyan Huang, Wei Wei +1
Long document question answering is a challenging task due to its demands for complex reasoning over long text. Previous works usually take long documents as non-structured flat te…
ET5: A Novel End-to-end Framework for Conversational Machine Reading Comprehension
Xiao Zhang, Heyan Huang, Zewen Chi +1
Conversational machine reading comprehension (CMRC) aims to assist computers to understand an natural language text and thereafter engage in a multi-turn conversation to answer que…
Unsupervised Hashing with Semantic Concept Mining
Rong-Cheng Tu, Xian-Ling Mao, Kevin Qinghong Lin +5
Recently, to improve the unsupervised image retrieval performance, plenty of unsupervised hashing methods have been proposed by designing a semantic similarity matrix, which is bas…
Unsupervised Question Answering via Answer Diversifying
Yuxiang Nie, Heyan Huang, Zewen Chi +1
Unsupervised question answering is an attractive task due to its independence on labeled data. Previous works usually make use of heuristic rules as well as pre-trained models to c…
Reduce Indonesian Vocabularies with an Indonesian Sub-word Separator
Mukhlis Amien, Feng Chong, Huang Heyan
Indonesian is an agglutinative language since it has a compounding process of word-formation. Therefore, the translation model of this language requires a mechanism that is even lo…
Location-based Twitter Filtering for the Creation of Low-Resource Language Datasets in Indonesian Local Languages
Mukhlis Amien, Chong Feng, Heyan Huang
Twitter contains an abundance of linguistic data from the real world. We examine Twitter for user-generated content in low-resource languages such as local Indonesian. For NLP to w…
Dynamic Prefix-Tuning for Generative Template-based Event Extraction
Xiao Liu, Heyan Huang, Ge Shi +1
We consider event extraction in a generative manner with template-based conditional generation. Although there is a rising trend of casting the task of event extraction as a sequen…
Relational Triple Extraction: One Step is Enough
Yu-Ming Shang, Heyan Huang, Xin Sun +2
Extracting relational triples from unstructured text is an essential task in natural language processing and knowledge graph construction. Existing approaches usually contain two f…
Cross-Lingual Phrase Retrieval
Heqi Zheng, Xiao Zhang, Zewen Chi +5
Cross-lingual retrieval aims to retrieve relevant text across languages. Current methods typically achieve cross-lingual retrieval by learning language-agnostic text representation…
Building Knowledge-Grounded Dialogue Systems with Graph-Based Semantic Modeling
Yizhe Yang, Heyan Huang, Yang Gao +1
The knowledge-grounded dialogue task aims to generate responses that convey information from given knowledge documents. However, it is a challenge for the current sequence-based mo…
Hammer PDF: An Intelligent PDF Reader for Scientific Papers
Sheng-Fu Wang, Shu-Hang Liu, Tian-Yi Che +4
It is the most important way for researchers to acquire academic progress via reading scientific papers, most of which are in PDF format. However, existing PDF Readers like Adobe A…
Efficient Non-Autoregressive GAN Voice Conversion using VQWav2vec Features and Dynamic Convolution
Mingjie Chen, Yanghao Zhou, Heyan Huang +1
It was shown recently that a combination of ASR and TTS models yield highly competitive performance on standard voice conversion tasks such as the Voice Conversion Challenge 2020 (…
OneRel:Joint Entity and Relation Extraction with One Module in One Step
Yu-Ming Shang, Heyan Huang, Xian-Ling Mao
Joint entity and relation extraction is an essential task in natural language processing and knowledge graph construction. Existing approaches usually decompose the joint extractio…
Unifying Cross-lingual Summarization and Machine Translation with Compression Rate
Yu Bai, Heyan Huang, Kai Fan +5
Cross-Lingual Summarization (CLS) is a task that extracts important information from a source document and summarizes it into a summary in another language. It is a challenging tas…
Exploring Dense Retrieval for Dialogue Response Selection
Tian Lan, Deng Cai, Yan Wang +3
Recent progress in deep learning has continuously improved the accuracy of dialogue response selection. In particular, sophisticated neural network architectures are leveraged to c…
Cross-Lingual Language Model Meta-Pretraining
Zewen Chi, Heyan Huang, Luyang Liu +2
The success of pretrained cross-lingual language models relies on two essential abilities, i.e., generalization ability for learning downstream tasks in a source language, and cros…