N-граммные признаки

metric ID: ngramfeatures

Related Papers

How do you pronounce your name? Improving G2P with transliterations

Authors: nan

Publication: TIPSTER (2011)

DOI: nan

Grapheme-to-phoneme conversion (G2P) of names is an important and challenging prob- lem. The correct pronunciation of a name is often reflected in its transliterations, which are expressed within a different …...

36045

Causal analysis of task completion errors in spoken music retrieval interactions

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

AbstractIn this paper, we analyze the causes of task completion errors in spoken dialog systems, using a decision tree with N-gram features of the dialog to detect task-incomplete dialogs. The …...

13390

Portable Features for Classifying Emotional Text

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

Are word-level affect lexicons useful in de- tecting emotions at sentence level? Some prior research finds no gain over and above what is obtained with ngram features—arguably the most widely …...

23856

The Romanian Neuter Examined Through A Two-Gender N-Gram Classification System

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

AbstractRomanian has been traditionally seen as bearing three lexical genders: masculine, feminine and neuter, although it has always been known to have only two agreement patterns (for masculine and feminine). …...

13630

Disfluency Detection Using Multi-step Stacked Learning

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

In this paper, we propose a multi-step stacked learning model for disfluency detection. Our method incorporates refined n-gram features step by step from different word sequences. First, we detect filler …...

23540

HENRY-CORE: Domain Adaptation and Stacking for Text Similarity

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

This paper describes a system for automat- ically measuring the semantic similarity be- tween two texts, which was the aim of the 2013 Semantic Textual Similarity (STS) task (Agirre et …...

26210

A Supervised Learning Approach Towards Profiling the Preservation of Authorial Style in Literary Translations

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

Recently there has been growing interest in the application of approaches from the text classi- fication literature to fine-grained problems of textual stylometry. This paper seeks to answer a question …...

6010

Convolutional Sentence Kernel from Word Embeddings for Short Text Categorization

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

This paper introduces a convolutional sen- tence kernel based on word embeddings. Our kernel overcomes the sparsity issue that arises when classifying short docu- ments or in case of little …...

34734

Detecting Word Usage Errors in Chinese Sentences for Learning Chinese as a Foreign Language

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractAutomated grammatical error detection, which helps users improve their writing, is an important application in NLP. Recently more and more people are learning Chinese, and an automated error detection system …...

16849