Results 21 to 30 of about 252,657 (155)
Combining Part-of-Speech Tags and Self-Attention Mechanism for Simile Recognition
Simile recognition is to find simile sentences and extract the tenor and vehicle from these sentences. Previous works illustrate that tenors and vehicles are typically noun phrases. A word may have different part-of-speech (POS) labels (e.g., adjectives,
Pengfei Zhang +4 more
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Sentiment lexicon, which provides sentiment information for words, plays an important role in sentiment analysis task. Currently, most of sentiment lexicons have only one sentiment polarity for each word and ignore sentimental ambiguity.
Fulian Yin +3 more
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Part of Speech Tagging of Marathi Text Using Trigram Method [PDF]
In this paper we present a Marathi part of speech tagger. It is a morphologically rich language. It is spoken by the native people of Maharashtra. The general approach used for development of tagger is statistical using trigram Method.
Joshi, Nisheeth +2 more
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Improving Data Driven Part-of-Speech Tagging by Morphologic Knowledge Induction [PDF]
We present a Markov part-of-speech tagger for which the P (w|t) emission probabilities of word w given tag t are replaced by a linear interpolation of tag emission probabilities given a list of representations of w.
Reichel, Uwe D.
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Who Can Guess Better? The Relationship Between Word Class and Learners’ Style [PDF]
The present study investigated the relationship between words’ part of speech (noun, verb, adjectives), guessing ability, and learners’ style of field independence/ dependence. One hundred thirty two subjects participated in the study.
Ramin Akbari +2 more
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Image Captioning Model Using Part-of-Speech Guidance Module for Description With Diverse Vocabulary
Image captions aim to generate human-like sentences that describe the image’s content. Recent developments in deep learning (DL) have made it possible to caption images for accurate descriptions and detailed expressions.
Ju-Won Bae +4 more
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Chinese Story Generation Based on Style Control of Transformer Model and Content Evaluation Method
Natural language processing (NLP) has numerous applications and has been extensively developed in deep learning. In recent years, language models such as Transformer, BERT, and GPT have frequently been the foundation for related research.
Jhe-Wei Lin +2 more
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Genetic approach for arabic part of speech tagging
With the growing number of textual resources available, the ability to understand them becomes critical. An essential first step in understanding these sources is the ability to identify the part of speech in each sentence.
Ali, Bilel Ben, Jarray, Fethi
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Redefining part-of-speech classes with distributional semantic models
This paper studies how word embeddings trained on the British National Corpus interact with part of speech boundaries. Our work targets the Universal PoS tag set, which is currently actively being used for annotation of a range of languages.
Kutuzov, Andrey +2 more
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Improving word vector model with part-of-speech and dependency grammar information
Part-of-speech (POS) and dependency grammar (DG) are the basic components of natural language processing. However, current word vector models have not made full use of both POS information and DG information, and hence the models’ performances are ...
Chunhui Deng, Gangming Lai, Huifang Deng
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