Code mixed cross script factoid question classification - A deep learning approach
نویسندگان
چکیده
منابع مشابه
Code Mixed Cross Script Question Classification
With the growth in our society, one of the most affected aspect of our routine life is language. We tend to mix our conversations in more than one language, often mixing up regional language with English language is a lot more common practice. This mixing of languages is referred as code mixing, where we mix different linguistic constituents such as phrases, proper nouns, morphemes etc. to come...
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With an increasing popularity of social-media, people post updates that aid other users in finding answers to their questions. Most of the user-generated data on social-media are in code-mixed or multi-script form, where the words are represented phonetically in a non-native script. We address the problem of Question-Classfication on social-media data. We propose an ensemble classifier based ap...
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In this paper, we formally introduce the problem of crossscript code-mixed question answering (QA) and we elaborate the corpus acquisition process and an evaluation strategy related to the said problem. Today social media platforms are flooded by millions of posts everyday on various topics. This paper emphasizes the use of such ever growing user generated content to serve as information collec...
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This paper describes our approach on Code–Mixed Cross– Script Question Classification task, which is a subtask 1 of MSIR 2016. MSIR is a Mixed Script Information Retrieval event in conjunction with FIRE 2016, which is the 8th meeting of Forum for Information Retrieval Evaluation. For this task, our team NLP–NITMZ submitted three system runs such as: i) using a direct feature set; ii) using dire...
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This paper presents a factoid Question Answering system that is fully based on machine learning. Our system achieves similar results to a state-of-theart QA system with answer extraction rules developed by a human expert. Our approach avoids human intervention and simplifies adaptation of the system to new environments or extended feature sets. Moreover, its response time is suitable for places...
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ژورنال
عنوان ژورنال: Journal of Intelligent & Fuzzy Systems
سال: 2018
ISSN: 1064-1246,1875-8967
DOI: 10.3233/jifs-169481