Күрделі сөздерді анықтау

Keh-Jiann Chen Shing-lluan Liu Institute of lnfl~rmation Science Academia Sinica Chinese sentences are composed with string of characters without blanks to mark words. However the basic unit for sentence parsing …...

We investigate the usage of word embeddings, namely Glove and SCODE, along with sub- string features on Complex Word Identifica- tion task. We introduce two systems: the first system utilizes …...

Complex word identification task focuses on identifying the difficult word from English sentence for a Non-Native speakers. Non- Native speakers are those who don’t have En- glish as their native …...

We present two methods for the automatic de- tection of complex words in context as per- ceived by non-native English readers, for the SemEval 2016 Task 11 on Complex Word …...

This paper describes aggregated learning models for Complex Word Identification (CWI) task in SemEval 2016. The work focused on selecting the features that de- termine complexity of words and used …...

We present two systems created for SemEval- 2016s Task 11: Complex Word Identification. Our two systems, a regression tree and de- cision tree, were trained with a word’s uni- gram …...

This paper describes the system that was sub- mitted to SemEval2016 Task 11: Complex Word Identification. It presents a preliminary investigation into exploring word difficulty for non-native English speakers. We …...

The complex word identification task refers to the process of identifying difficult words in a sentence from the perspective of readers be- longing to a specific target audience. This task …...

We present the description of the LTG entry in the SemEval-2016 Complex Word Identi- fication (CWI) task, which aimed to develop systems for identifying complex words in En- glish sentences. …...

This paper presents the MacSaar system de- veloped to identify complex words in English texts. MacSaar participated in the SemEval 2016 task 11: Complex Word Identification submitting two runs. The …...

This paper describes team MAZA entries for the 2016 SemEval Task 11: Complex Word Identification (CWI). The task is a binary clas- sification task in which systems are trained to …...

We report the findings of the Complex Word Identification task of SemEval 2016. To cre- ate a dataset, we conduct a user study with 400 non-native English speakers, and find …...

This paper describes our submission to the Complex Word Identification (CWI) task in SemEval-2016. We test an experimental ap- proach to blindly use neural nets to solve the CWI task …...

We introduce the SV000gg systems: two En- semble Methods for the Complex Word Iden- tification task of SemEval 2016. While the SV000gg-Hard system exploits basic Hard Voting, the SV000gg-Soft system …...

This paper describes an information-theoretic approach to complex word identification using a classifier based on an entropy based mea- sure based on word senses and sentence-level perplexity features. We describe …...

In this paper, we present our system devel- oped for the SemEval 2016 Task 11: Com- plex Word Identification. Our team achieved the 3rd place among 21 participants. Our sys- …...

AbstractComplex Word Identification (CWI) is an important task in lexical simplification and text accessibility. Due to the lack of CWI datasets, previous works largely depend on Simple English Wikipedia and …...

AbstractLexical simplification involves identifying complex words or phrases that need to be simplified, and recommending simpler meaning-preserving substitutes that can be more easily understood. We propose a complex word identification …...

AbstractComplex Word Identification (CWI) is concerned with detection of words in need of simplification and is a crucial first step in a simplification pipeline. It has been shown that reliable …...

AbstractComplex Word Identification (CWI) is the task of identifying which words or phrases in a sentence are difficult to understand by a target audience. The latest CWI Shared Task released …...

AbstractReading is a complex process not only because of the words or sections that are difficult for the reader to understand. Complex word identification (CWI) is the task of detecting …...

AbstractThis paper describes our submission to SemEval-2021 Task 1: predicting the complexity score for single words. Our model leverages standard morphosyntactic and frequency-based features that proved helpful for Complex Word …...

AbstractComplex word identification (CWI) is a cornerstone process towards proper text simplification. CWI is highly dependent on context, whereas its difficulty is augmented by the scarcity of available datasets which …...