Discourse parsing is considered as one of the most challenging natural language
processing (NLP) tasks. Implicit discourse relation classification is the bottleneck for …

This paper describes the system of team LeisureX in the CoNLL 2018 Shared Task:
Multilingual Parsing from Raw Text to Universal Dependencies. Our system predicts the part …

This paper considers a capability construction problem of the C4ISR system under service-
oriented architecture. A capability construction model is first established and described in …

The demand for translations is increasing at a rate far beyond the capacity of professional
translators. It is too difficult, time consuming and expensive to translate everything from …

Most existing bilingual embedding methods for Statistical Machine Translation (SMT) suffer
from two obvious drawbacks. First, they only focus on simple context such as word count and …

This paper describes a hypernym discovery system for our participation in the SemEval-
2018 Task 9, which aims to discover the best (set of) candidate hypernyms for input …

Attention mechanism, which selectively focuses on source-side information to learn a
context vector for generating target words, has been shown to be an effective method for …

With the development of natural language processing and text mining technology, it has
become a trend to mine and extract corresponding knowledge from unstructured text …

There are rules-based machine translation and modulate-based machine translation but
they are all based on complex and hardly-summarizing language rules in essence. This …

Rank aggregation is the important task in many areas, and different rank aggregation
algorithms are created to find optimal rank. Nevertheless, none of these algorithms is the …