Hybrid Method

This paper investigates methods to automatically infer structural information from large XML doc- uments. Using XML as a reference format, we ap- proach the schema generation problem by applica- tion …...

. This paper suggests a methodology which is aimed to extract the terminologically relevant collocations for translation purposes. Our basic idea is to use a hybrid method which combines the …...

. This paper presents a hybrid method for extracting Chinese noun phrase collocations that combines a statistical model with rule-based linguistic knowledge. The algorithm first extracts all the noun phrase …...

In this paper, we introduce a hybrid method to associate English collocations with sense class members chosen from WordNet. Our combinational approach includes a learning-based method, a paraphrase-based method and …...

As documents tend to contain temporal information, extracting such information is attracting much research interests re- cently. In this paper, we propose a hybrid method that combines machine-learning models and …...

This paper describes the system developed for the task of temporal information extraction from clinical narratives in the context of 2016 Clinical TempEval challenge. Clinical TempEval 2016 addressed the problem …...

AbstractAs one of the most important test of China, Gaokao is designed to be difficult enough to distinguish the excellent high school students. In this work, we detailed the Gaokao …...

AbstractIn this paper, we apply different NMT models to the problem of historical spelling normalization for five languages: English, German, Hungarian, Icelandic, and Swedish. The NMT models are at different …...

AbstractIn recent years, fake news detection has been an emerging research area. In this paper, we put forward a novel statistical approach for the generation of feature vectors to describe …...

Diacritic restoration plays an important role in Natural Language Processing (NLP) for many diacritical languages such as Vietnamese, Czech, Hungarian, etc. With the develop- ment of deep neural network, this …...

AbstractOne of the challenges of aspect-based sentiment analysis is the implicit mention of aspects. These are more difficult to identify and may require world knowledge to do so. In this …...

AbstractMany text classification tasks are inherently ambiguous, which results in automatic systems having a high risk of making mistakes, in spite of using advanced machine learning models. For example, toxicity …...