However, the vast majority of them did not handle texts in the Brazilian Portuguese language, and there is no one to consider the combination of sets of text features of NLP tasks with classifiers. Therefore, in our investigation, we combined empirical features to identify subjective sentences in...
摘要: Finding emotions in text is an area of research with wide-ranging applications. We describe an emotion annotation task of identifying emotion category, emotion intensity and the words/phrases that...DOI: 10.1007/978-3-540-74628-7_27 被引量: 321 ...
Curdin Derungs,Ross S. Purves 摘要: In this paper, we demonstrate how a large corpus, consisting of about 10000 articles describing Swiss alpine landscapes and activities and dating back to 1864, can be used to explore the use of language in space. In a first step, we link landscape ...
Text Structure Activities How Ideas Are Connected in a Text Problem Solution in Narrative Lesson Plan Hypothesis, Explanations & Conclusions in Reading Passages Strategies for Understanding Various Forms of Writing Language Structure & Text Features in Reading Comprehension Explanation or Cause: Definitions ...
- International Conference on Text 被引量: 79发表: 2005年 INTEGRATING ARTICULATORY FEATURES USING KULLBACK-LEIBLER DIVERGENCE BASED ACOUSTIC MODEL FOR PHONEME RECOGNITION In this paper, we propose a novel framework to integrate articulatory features (AFs) into HMM- based ASR system. This is achieved...
Large language models (LLMs) are widely adopted tools for synthetic text generation, finding applications in language-based assistants, code generation, writing support and various other domains. As LLMs advance in quality, coherence, coverage and expertise, it can become difficult to distinguish synt...
When this is not possible, as is often the case with figurative speech, a common practice is to simplify and make explicit the implications. However, in our investigations of translations from English to another language, English-to-Chinese texts were often found to include idiomatic expressions ...
MALLET: A Machine Learning for Language Toolkit. McCallum, Andrew Kachites. Twitter-Text-Python (TTP) by Edmond Burnett Apart from the above set of projects, we also use free and openly hosted dictionaries in the project to improve the LID, you can learn more about them inTrain your Custom...
Lexical familiarization in economics text, and its pedagogic implications in reading comprehension Reading in a Foreign Language (1984) M. Cabré Terminology: Theory, Methods, and Applications (1999) Chung, T.M., 2003. Identifying technical vocabulary. Unpublished PhD thesis, Victoria University of....
In the present study, we investigate the psychosis sub-groups (SZ, BPP and SAD) by using dynamic functional connectivity measures under a classification framework, aiming to disclose the commonly and uniquely altered connectivity features across the current diagnoses. We perform both the four-group ...