257 citations · 963 across the 48 of their papers we have counts for
9 papers · 1 filter
Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy
Pengcheng Yang, Fuli Luo, Shuangzhi Wu +3
Cross-lingual word embeddings aim to capture common linguistic regularities of different languages, which benefit various downstream tasks ranging from machine translation to trans…
Knowledge-Aware Conversational Semantic Parsing Over Web Tables
Yibo Sun, Duyu Tang, Nan Duan +3
Conversational semantic parsing over tables requires knowledge acquiring and reasoning abilities, which have not been well explored by current state-of-the-art approaches. Motivate…
Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network based on HowNet
Shu Liu, Jingjing Xu, Xuancheng Ren +1
Automatic evaluation of semantic rationality is an important yet challenging task, and current automatic techniques cannot well identify whether a sentence is semantically rational…
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation
Liangchen Luo, Jingjing Xu, Junyang Lin +2
Generating semantically coherent responses is still a major challenge in dialogue generation. Different from conventional text generation tasks, the mapping between inputs and resp…
A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation
Jingjing Xu, Xuancheng Ren, Yi Zhang +3
Narrative story generation is a challenging problem because it demands the generated sentences with tight semantic connections, which has not been well studied by most existing gen…
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations
Guangxiang Zhao, Jingjing Xu, Qi Zeng +1
This paper explores a new natural language processing task, review-driven multi-label music style classification. This task requires the system to identify multiple styles of music…
Learning Sentiment Memories for Sentiment Modification without Parallel Data
Yi Zhang, Jingjing Xu, Pengcheng Yang +1
The task of sentiment modification requires reversing the sentiment of the input and preserving the sentiment-independent content. However, aligned sentences with the same content…
Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach
Jingjing Xu, Xu Sun, Qi Zeng +4
The goal of sentiment-to-sentiment "translation" is to change the underlying sentiment of a sentence while keeping its content. The main challenge is the lack of parallel data. To…
DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text
Jingjing Xu, Xuancheng Ren, Junyang Lin +1
Existing text generation methods tend to produce repeated and "boring" expressions. To tackle this problem, we propose a new text generation model, called Diversity-Promoting Gener…