Search Results for author: Houfeng Wang

Found 60 papers, 12 papers with code

Towards Controlled and Diverse Generation of Article Comments

no code implementations25 Jul 2021 Linhao Zhang, Houfeng Wang

In this paper, we make the first step towards controllable generation of comments, by building a system that can explicitly control the emotion of the generated comments.

A Joint and Domain-Adaptive Approach to Spoken Language Understanding

no code implementations25 Jul 2021 Linhao Zhang, Yu Shi, Linjun Shou, Ming Gong, Houfeng Wang, Michael Zeng

In this paper, we attempt to bridge these two lines of research and propose a joint and domain adaptive approach to SLU.

Domain Adaptation Intent Detection +2

Learn to Focus: Hierarchical Dynamic Copy Network for Dialogue State Tracking

no code implementations25 Jul 2021 Linhao Zhang, Houfeng Wang

Recently, researchers have explored using the encoder-decoder framework to tackle dialogue state tracking (DST), which is a key component of task-oriented dialogue systems.

Dialogue State Tracking Task-Oriented Dialogue Systems

Explicit Interaction Network for Aspect Sentiment Triplet Extraction

no code implementations21 Jun 2021 Peiyi Wang, Lianzhe Huang, Tianyu Liu, Damai Dai, Runxin Xu, Houfeng Wang, Baobao Chang, Zhifang Sui

In this paper, we divide ASTE into target-opinion joint detection and sentiment classification subtasks, which is in line with human cognition, and correspondingly propose sequence encoder and table encoder.

Aspect Sentiment Triplet Extraction

Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding

1 code implementation ACL 2021 Xin Sun, Tao Ge, Furu Wei, Houfeng Wang

In this paper, we propose Shallow Aggressive Decoding (SAD) to improve the online inference efficiency of the Transformer for instantaneous Grammatical Error Correction (GEC).

Grammatical Error Correction

First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction

no code implementations17 Feb 2021 Lianzhe Huang, Peiyi Wang, Sujian Li, Tianyu Liu, Xiaodong Zhang, Zhicong Cheng, Dawei Yin, Houfeng Wang

To address these issues, we propose a novel two-stage method which enhances the correlation between targets and opinions: at stage one, we extract targets and opinions through sequence tagging; then we insert a group of artificial tags named Perceivable Pair, which indicate the span of the target and the opinion, into the sequence to establish correlation for each candidate target-opinion pair.

Aspect Sentiment Triplet Extraction

Improving Machine Translation by Searching Skip Connections Efficiently

no code implementations1 Jan 2021 Chen Yang, Houfeng Wang

To improve the efficiency of trying different skip connection architectures, we apply the idea of network morphism to add skip connections as a procedure of fine-tuning.

Machine Translation Translation

Syntax-Aware Graph Attention Network for Aspect-Level Sentiment Classification

no code implementations COLING 2020 Lianzhe Huang, Xin Sun, Sujian Li, Linhao Zhang, Houfeng Wang

In this paper, we exploit syntactic awareness to the model by the graph attention network on the dependency tree structure and external pre-training knowledge by BERT language model, which helps to model the interaction between the context and aspect words better.

Classification Graph Attention +2

Text Level Graph Neural Network for Text Classification

1 code implementation IJCNLP 2019 Lianzhe Huang, Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang

Recently, researches have explored the graph neural network (GNN) techniques on text classification, since GNN does well in handling complex structures and preserving global information.

Classification General Classification +1

Exploring Sequence-to-Sequence Learning in Aspect Term Extraction

no code implementations ACL 2019 Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang

Aspect term extraction (ATE) aims at identifying all aspect terms in a sentence and is usually modeled as a sequence labeling problem.

Joint Learning for Targeted Sentiment Analysis

no code implementations EMNLP 2018 Dehong Ma, Sujian Li, Houfeng Wang

Targeted sentiment analysis (TSA) aims at extracting targets and classifying their sentiment classes.

Sentiment Analysis Word Embeddings

Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning

no code implementations EMNLP 2018 Chen Shi, Qi Chen, Lei Sha, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang

The lack of labeled data is one of the main challenges when building a task-oriented dialogue system.

Active Learning

Phrase-level Self-Attention Networks for Universal Sentence Encoding

no code implementations EMNLP 2018 Wei Wu, Houfeng Wang, Tianyu Liu, Shuming Ma

As a result, the memory consumption can be reduced because the self-attention is performed at the phrase level instead of the sentence level.

Multi-class Classification Natural Language Inference +3

Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions

no code implementations16 Aug 2018 Wei Li, Xuancheng Ren, Damai Dai, Yunfang Wu, Houfeng Wang, Xu sun

In the experiments, we take a real-world sememe knowledge base HowNet and the corresponding descriptions of the words in Baidu Wiki for training and evaluation.

A Neural Question Answering Model Based on Semi-Structured Tables

no code implementations COLING 2018 Hao Wang, Xiaodong Zhang, Shuming Ma, Xu sun, Houfeng Wang, Mengxiang Wang

Then the system measures the relevance between each question and candidate table cells, and choose the most related cell as the source of answer.

Knowledge Graphs Question Answering

SGM: Sequence Generation Model for Multi-label Classification

1 code implementation COLING 2018 Pengcheng Yang, Xu sun, Wei Li, Shuming Ma, Wei Wu, Houfeng Wang

Further analysis of experimental results demonstrates that the proposed methods not only capture the correlations between labels, but also select the most informative words automatically when predicting different labels.

Classification General Classification +1

Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method

3 code implementations17 Nov 2017 Xu Sun, Xuancheng Ren, Shuming Ma, Bingzhen Wei, Wei Li, Jingjing Xu, Houfeng Wang, Yi Zhang

Based on the sparsified gradients, we further simplify the model by eliminating the rows or columns that are seldom updated, which will reduce the computational cost both in the training and decoding, and potentially accelerate decoding in real-world applications.

Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure

no code implementations IJCNLP 2017 Shen Huang, Xu sun, Houfeng Wang

Boundary features are widely used in traditional Chinese Word Segmentation (CWS) methods as they can utilize unlabeled data to help improve the Out-of-Vocabulary (OOV) word recognition performance.

Chinese Word Segmentation Domain Adaptation +1

Interactive Attention Networks for Aspect-Level Sentiment Classification

3 code implementations4 Sep 2017 Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang

In this paper, we argue that both targets and contexts deserve special treatment and need to be learned their own representations via interactive learning.

Aspect-Based Sentiment Analysis Classification +1

Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective

no code implementations EMNLP 2017 Qing Zhang, Houfeng Wang

For the task of relation extraction, distant supervision is an efficient approach to generate labeled data by aligning knowledge base with free texts.

General Classification Matrix Completion +2

A Two-Stage Parsing Method for Text-Level Discourse Analysis

1 code implementation30 Jul 2017 Yizhong Wang, Sujian Li, Houfeng Wang

Previous work introduced transition-based algorithms to form a unified architecture of parsing rhetorical structures (including span, nuclearity and relation), but did not achieve satisfactory performance.

Discourse Parsing

A Two-Stage Parsing Method for Text-Level Discourse Analysis

no code implementations ACL 2017 Yizhong Wang, Sujian Li, Houfeng Wang

Previous work introduced transition-based algorithms to form a unified architecture of parsing rhetorical structures (including span, nuclearity and relation), but did not achieve satisfactory performance.

Dependency Parsing Document Summarization +1

meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting

2 code implementations ICML 2017 Xu Sun, Xuancheng Ren, Shuming Ma, Houfeng Wang

In back propagation, only a small subset of the full gradient is computed to update the model parameters.

Bi-LSTM Neural Networks for Chinese Grammatical Error Diagnosis

no code implementations WS 2016 Shen Huang, Houfeng Wang

Grammatical Error Diagnosis for Chinese has always been a challenge for both foreign learners and NLP researchers, for the variousity of grammar and the flexibility of expression.

Grammatical Error Detection Word Embeddings

Towards Label Imbalance in Multi-label Classification with Many Labels

no code implementations5 Apr 2016 Li Li, Houfeng Wang

To the best of our knowledge, we are the first to tackle the imbalance problem in multi-label classification with many labels.

Classification General Classification +2

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