MatchZoo: A Toolkit for Deep Text Matching

Abstract

In recent years, deep neural models have been widely adopted for text matching tasks, such as question answering and information retrieval, showing improved performance as compared with previous methods. In this paper, we introduce the MatchZoo toolkit that aims to facilitate the designing, comparing and sharing of deep text matching models. Specifically, the toolkit provides a unified data preparation module for different text matching problems, a flexible layer-based model construction process, and a variety of training objectives and evaluation metrics. In addition, the toolkit has implemented two schools of representative deep text matching models, namely representation-focused models and interaction-focused models. Finally, users can easily modify existing models, create and share their own models for text matching in MatchZoo.

2 pages, 1 figures, Neu-IR: The SIGIR 2017 Workshop on Neural Information Retrieval

References in corpus (5)

• Convolutional Neural Network Architectures for Matching Natural Language Sentences
• A Deep Relevance Matching Model for Ad-hoc Retrieval
• A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations
• Text Matching as Image Recognition
• Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN

Cited by in corpus (14)

• Challenges in Building Intelligent Open-domain Dialog Systems
• Multiresolution Graph Attention Networks for Relevance Matching
• Pre-trained Language Models in Biomedical Domain: A Systematic Survey
• Helping results assessment by adding explainable elements to the deep relevance matching model
• On-the-fly Table Generation
• Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching
• A Deep Look into Neural Ranking Models for Information Retrieval
• Neural IR Meets Graph Embedding: A Ranking Model for Product Search
• Matching Article Pairs with Graphical Decomposition and Convolutions
• Transformer Based Language Models for Similar Text Retrieval and Ranking
• Lattice CNNs for Matching Based Chinese Question Answering
• Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search
• Toward the Understanding of Deep Text Matching Models for Information Retrieval
• TextZoo, a New Benchmark for Reconsidering Text Classification