Houfeng Wang

Improving Chinese Dependency Parsing with Lexical Semantic Features

2015 · Lecture notes in computer science

Lexical semantic information plays an important role in supervised dependency parsing. In this paper, we add lexical semantic features to the feature set of a parser, obtaining improvements on the Penn Chinese Treebank. We extract …

Interactive Attention Networks for Aspect-Level Sentiment Classification

2017 · arXiv (Cornell University)

Aspect-level sentiment classification aims at identifying the sentiment polarity of specific target in its context. Previous approaches have realized the importance of targets in sentiment classification and developed various methods with the goal of precisely …

Corpus-based Automatic Generation of Multiple Choice Questions for College English Tests

2017

At present multiple choice questions as a testing item are adopted widely in College English tests, and play a significant role in assessing students' English proficiency. However, in practice the design of multiple choice questions …

Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification

2022 · arXiv (Cornell University)

Hierarchical text classification is a challenging subtask of multi-label classification due to its complex label hierarchy. Existing methods encode text and label hierarchy separately and mix their representations for classification, where the hierarchy remains unchanged …

SPOR: A Comprehensive and Practical Evaluation Method for Compositional Generalization in Data-to-Text Generation

2024 · arXiv (Cornell University)

Compositional generalization is an important ability of language models and has many different manifestations. For data-to-text generation, previous research on this ability is limited to a single manifestation called Systematicity and lacks consideration of large …

Bidirectional Recurrent Convolutional Neural Network for Relation Classification

2016

Relation classification is an important semantic processing task in the field of natural language processing (NLP). In this paper, we present a novel model BRCNN to classify the relation of two entities in a sentence. …

A joint model of intent determination and slot filling for spoken language understanding

2016

Two major tasks in spoken language understanding (SLU) are intent determination (ID) and slot filling (SF). Recurrent neural networks (RNNs) have been proved effective in SF, while there is no prior work using RNNs in …

Duplicate Question Identification by Integrating FrameNet With Neural Networks

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

There are two major problems in duplicate question identification, namely lexical gap and essential constituents matching. Previous methods either design various similarity features or learn representations via neural networks, which try to solve the lexical …

Exploring Sequence-to-Sequence Learning in Aspect Term Extraction

2019

Aspect term extraction (ATE) aims at identifying all aspect terms in a sentence and is usually modeled as a sequence labeling problem. However, sequence labeling based methods cannot make full use of the overall meaning …

Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach

2018

Jingjing Xu, Xu Sun, Qi Zeng, Xiaodong Zhang, Xuancheng Ren, Houfeng Wang, Wenjie Li. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2018.

A Dependency-Based Neural Network for Relation Classification

2015

Yang Liu, Furu Wei, Sujian Li, Heng Ji, Ming Zhou, Houfeng Wang. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume …