306 citations · 863 across the 45 of their papers we have counts for
13 papers · 1 filter
A Theoretical Analysis of the Repetition Problem in Text Generation
Zihao Fu, Wai Lam, Anthony Man-Cho So +1
Text generation tasks, including translation, summarization, language models, and etc. see rapid growth during recent years. Despite the remarkable achievements, the repetition pro…
Narrative Incoherence Detection
Deng Cai, Yizhe Zhang, Yichen Huang +2
We propose the task of narrative incoherence detection as a new arena for inter-sentential semantic understanding: Given a multi-sentence narrative, decide whether there exist any…
Multi-hop Inference for Question-driven Summarization
Yang Deng, Wenxuan Zhang, Wai Lam
Question-driven summarization has been recently studied as an effective approach to summarizing the source document to produce concise but informative answers for non-factoid quest…
Partially-Aligned Data-to-Text Generation with Distant Supervision
Zihao Fu, Bei Shi, Wai Lam +2
The Data-to-Text task aims to generate human-readable text for describing some given structured data enabling more interpretability. However, the typical generation task is confine…
Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond
Xin Li, Lidong Bing, Wenxuan Zhang +2
Cross-lingual adaptation with multilingual pre-trained language models (mPTLMs) mainly consists of two lines of works: zero-shot approach and translation-based approach, which have…
Enhancing Dialogue Generation via Multi-Level Contrastive Learning
Xin Li, Piji Li, Yan Wang +2
Most of the existing works for dialogue generation are data-driven models trained directly on corpora crawled from websites. They mainly focus on improving the model architecture t…
Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
Yang Deng, Wenxuan Zhang, Wai Lam
Product-related question answering (QA) is an important but challenging task in E-Commerce. It leads to a great demand on automatic review-driven QA, which aims at providing instan…
CoreGen: Contextualized Code Representation Learning for Commit Message Generation
Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong +3
Automatic generation of high-quality commit messages for code commits can substantially facilitate software developers' works and coordination. However, the semantic gap between so…
Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling
Wenxuan Zhang, Yang Deng, Wai Lam
Many E-commerce sites now offer product-specific question answering platforms for users to communicate with each other by posting and answering questions during online shopping. Ho…
AMR Parsing via Graph-Sequence Iterative Inference
Deng Cai, Wai Lam
We propose a new end-to-end model that treats AMR parsing as a series of dual decisions on the input sequence and the incrementally constructed graph. At each time step, our model…
Context-aware Helpfulness Prediction for Online Product Reviews
Iyiola E. Olatunji, Xin Li, Wai Lam
Modeling and prediction of review helpfulness has become more predominant due to proliferation of e-commerce websites and online shops. Since the functionality of a product cannot…
Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization
Piji Li, Lidong Bing, Zhongyu Wei +1
Attention mechanism plays a dominant role in the sequence generation models and has been used to improve the performance of machine translation and abstractive text summarization.…
Review-guided Helpful Answer Identification in E-commerce
Wenxuan Zhang, Wai Lam, Yang Deng +1
Product-specific community question answering platforms can greatly help address the concerns of potential customers. However, the user-provided answers on such platforms often var…