82 citations · 128 across the 14 of their papers we have counts for
14 papers
Speech-Driven End-to-End Language Discrimination towards Chinese Dialects
Fan Xu, Jian Luo, MingWen Wang +1
Language discrimination among similar languages, varieties, and dialects is a challenging natural language processing task. The traditional text-driven focus leads to poor results.…
Opinion Tree Parsing for Aspect-based Sentiment Analysis
Xiaoyi Bao, Xiaotong Jiang, Zhongqing Wang +2
Extracting sentiment elements using pre-trained generative models has recently led to large improvements in aspect-based sentiment analysis benchmarks. However, these models always…
Discourse Cohesion Evaluation for Document-Level Neural Machine Translation
Xin Tan, Longyin Zhang, Guodong Zhou
It is well known that translations generated by an excellent document-level neural machine translation (NMT) model are consistent and coherent. However, existing sentence-level eva…
Joint Learning-based Causal Relation Extraction from Biomedical Literature
Dongling Li, Pengchao Wu, Yuehu Dong +3
Causal relation extraction of biomedical entities is one of the most complex tasks in biomedical text mining, which involves two kinds of information: entity relations and entity f…
Pre-trained Token-replaced Detection Model as Few-shot Learner
Zicheng Li, Shoushan Li, Guodong Zhou
Pre-trained masked language models have demonstrated remarkable ability as few-shot learners. In this paper, as an alternative, we propose a novel approach to few-shot learning wit…
Coreference Resolution: Are the eliminated spans totally worthless?
Xin Tan, Longyin Zhang, Guodong Zhou
Various neural-based methods have been proposed so far for joint mention detection and coreference resolution. However, existing works on coreference resolution are mainly dependen…
Improving AMR Parsing with Sequence-to-Sequence Pre-training
Dongqin Xu, Junhui Li, Muhua Zhu +2
In the literature, the research on abstract meaning representation (AMR) parsing is much restricted by the size of human-curated dataset which is critical to build an AMR parser wi…
A Top-Down Neural Architecture towards Text-Level Parsing of Discourse Rhetorical Structure
Longyin Zhang, Yuqing Xing, Fang Kong +2
Due to its great importance in deep natural language understanding and various down-stream applications, text-level parsing of discourse rhetorical structure (DRS) has been drawing…
A Discrete CVAE for Response Generation on Short-Text Conversation
Jun Gao, Wei Bi, Xiaojiang Liu +3
Neural conversation models such as encoder-decoder models are easy to generate bland and generic responses. Some researchers propose to use the conditional variational autoencoder(…
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning
Jingjing Wang, Changlong Sun, Shoushan Li +5
Recently, neural networks have shown promising results on Document-level Aspect Sentiment Classification (DASC). However, these approaches often offer little transparency w.r.t. th…
Modeling Graph Structure in Transformer for Better AMR-to-Text Generation
Jie Zhu, Junhui Li, Muhua Zhu +3
Recent studies on AMR-to-text generation often formalize the task as a sequence-to-sequence (seq2seq) learning problem by converting an Abstract Meaning Representation (AMR) graph…
Emotion Detection with Neural Personal Discrimination
Xiabing Zhou, Zhongqing Wang, Shoushan Li +2
There have been a recent line of works to automatically predict the emotions of posts in social media. Existing approaches consider the posts individually and predict their emotion…
Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches
Shaohui Kuang, Deyi Xiong, Weihua Luo +1
Sentences in a well-formed text are connected to each other via various links to form the cohesive structure of the text. Current neural machine translation (NMT) systems translate…
Modeling Source Syntax for Neural Machine Translation
Junhui Li, Deyi Xiong, Zhaopeng Tu +3
Even though a linguistics-free sequence to sequence model in neural machine translation (NMT) has certain capability of implicitly learning syntactic information of source sentence…