A Language for Detecting and Fixing Bugs
Learning Representations for Detecting Abusive Language
... for detecting abusive language of the representations described in the previous sections, we use two different datasets for building embeddings, and four differ- ent datasets for validating classifiers ...
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A Language Independent Approach for Detecting Duplicated Code
... for detecting duplicated code exist but rely mostly on parsers, technology that has proven to be brittle in the face of different languages and ...a language independent and visual approach, ...
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Comparative Studies of Detecting Abusive Language on Twitter
... This paper investigates the efficacy of differ- ent learning models in detecting abusive language. We compare accuracy using the most frequently studied machine learning classifiers as well as re- cent ...
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Natural Language Processing for Detecting Forward Reference in a Document
... VI. CONCLUSION Requirements engineers have the responsibility to produce a high quality requirements specification document. The effort to maintain the quality of a requirements specification document manually is ...
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A Cascade Method for Detecting Hedges and their Scope in Natural Language Text
... formation. Detecting hedges and their scope in natural language text is very important for in- formation ...including detecting hedges and their in-sentence scope in biomedical ...
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Detecting and Extracting Named Entities with Particular Reference to Marathi Language
... of detecting and extracting named entities is to recognize all the named entities in the document and extracting those named ...Natural Language Processing, Machine Translation and Machine ...Marathi ...
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Distant-supervised Language Model for Detecting Emotional Upsurge on Twitter
... distant-supervised language model (Spike LM) built from tweets in spikes to capture such ...of detecting emotional spik- ing tweets using language models including Spike ...natural language ...
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Detecting Metaphorical Phrases in the Polish Language
... In this paper we describe experiments with automated detection of metaphors in the Polish language. We focus our analysis on noun phrases composed of an adjective and a noun, and distinguish three types of ...
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Detecting Paraphrases in Tamil Language Sentences
... criterion to discover unseen knowledge from textual database. Sentences with different structures may convey the same meaning. Paraphrase identification is defined as the task of deciding whether two given text fragments ...
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Linguistic Models for Analyzing and Detecting Biased Language
... Unbiased language is a requirement for reference sources like encyclopedias and scientific texts. Bias is, nonetheless, ubiq- uitous, making it crucial to understand its nature and linguistic realization and hence ...
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Detecting Causal Language Use in Science Findings
... causal language use in the research conclusions of about 38,000 ob- servational studies in ...causal language exclusively in their conclu- sions, and ...causal language use differs among authors from ...
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A Language Independent Approach for Detecting Duplicated Code
... “Parsing the program suite of interest requires a parser for the language dialect of interest. While this is nominally an easy task, in practice one must acquire a tested grammar for the dialect of the ...
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Detecting Reduplication in Videos of American Sign Language
... Abstract A framework is proposed for the detection of reduplication in digital videos of American Sign Language (ASL). In ASL, reduplication is used for a variety of linguistic purposes, including overt marking of ...
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Detecting the Development of Language Skills in Current English Language Teaching in the Czech Republic
... the language form besides its meaning; she claims that attention should be paid to accuracy, not only to speech fluency; she draws attention to reality of the language which is taught instead of to its ...
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HistoBankVis: Detecting Language Change via Data Visualization
... 3.5 Hypothesis Generation and Feedback Once the patterns in the data have been explored, hypotheses tested and perhaps new ones formed, the researcher can feed the knowledge gained back [r] ...
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Detecting language activations with functional magnetic resonance imaging
... was modulated by word type whereas the backward connection was less affected. However, in the case o f the posterior superior temporal region and the frontal operculum, both the forward and backward connections were ...
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Detecting Speculative Language Using Syntactic Dependencies and Logistic Regression
... Our approach to detecting speculation cues suc- cessfully employed syntax as a proxy for the se- mantic content of words. In addition, we demon- strated that performance gains can be obtained by choosing an ...
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Detecting Code Switching between Turkish English Language Pair
... 1 Introduction Code-switching is a common linguistic phe- nomenon generally attributed to bilingual commu- nities but also highly observed among white collar employees. It is also treated as related to higher education ...
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Detecting Offensive Tweets in Hindi English Code Switched Language
... Hinglish language, which is a portmanteau of the Indic language Hindi with the Ro- man ...switched language split into three classes: non- offensive, abusive and ...
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Detecting Content Heavy Sentences: A Cross Language Case Study
... of detecting content-heavy sentences in cross-lingual ...accurately detecting heavy sentences and present a richer classification model that accurately identifies these ...
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