Tiejun Zhao

Domain adaptation for statistical machine translation

2016

Statistical machine translation (SMT) plays more and more important role now. The performance of the SMT is largely dependent on the size and quality of training data. But the demands for translation is rich, how …

MuGER2: Multi-Granularity Evidence Retrieval and Reasoning for Hybrid Question Answering

2022

Hybrid question answering (HQA) aims to answer questions over heterogeneous data, including tables and passages linked to table cells. The heterogeneous data can provide different granularity evidence to HQA models, e.t., column, row, cell, and …

Constraint-Based Question Answering with Knowledge Graph

2016 · International Conference on Computational Linguistics

WebQuestions and SimpleQuestions are two benchmark data-sets commonly used in recent knowledge-based question answering (KBQA) work. Most questions in them are ‘simple’ questions which can be answered based on a single relation in the knowledge …

Syntax-Directed Attention for Neural Machine Translation

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Attention mechanism, including global attention and local attention, plays a key role in neural machine translation (NMT). Global attention attends to all source words for word prediction. In comparison, local attention selectively looks at fixed-window …

Neural Document Summarization by Jointly Learning to Score and Select Sentences

2018

Sentence scoring and sentence selection are two main steps in extractive document summarization systems. However, previous works treat them as two separated subtasks. In this paper, we present a novel end-to-end neural network framework for …