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RANLP - 2019
Total Papers:- 214
Total Papers accross all years:- 1069
Total Citations :- 0
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Whom to Learn From? Graph- vs. Text-based Word Embeddings
Małgorzata Salawa |
António Branco |
Ruben Branco |
João António Rodrigues |
Chakaveh Saedi |
Generating Challenge Datasets for Task-Oriented Conversational Agents through Self-Play
Sourabh Majumdar |
Serra Sinem Tekiroglu |
Marco Guerini |
Exploiting Frame-Semantics and Frame-Semantic Parsing for Automatic Extraction of Typological Information from Descriptive Grammars of Natural Languages
Shafqat Mumtaz Virk |
Azam Sheikh Muhammad |
Lars Borin |
Muhammad Irfan Aslam |
Saania Iqbal |
Nazia Khurram |
Self-Knowledge Distillation in Natural Language Processing
Sangchul Hahn |
Heeyoul Choi |
Using Syntax to Resolve NPE in English
Payal Khullar |
Allen Antony |
Manish Shrivastava |
Developing the Old Tibetan Treebank
Christian Faggionato |
Marieke Meelen |
Automatic diacritization of Tunisian dialect text using Recurrent Neural Network
Abir Masmoudi |
Mariem Ellouze |
Lamia Hadrich belguith |
Comparison of Machine Learning Approaches for Industry Classification Based on Textual Descriptions of Companies
Andrey Tagarev |
Nikola Tulechki |
Svetla Boytcheva |
Dialect-Specific Models for Automatic Speech Recognition of African American Vernacular English
Rachel Dorn |
Classification Approaches to Identify Informative Tweets
Piush Aggarwal |
ETNLP: A Visual-Aided Systematic Approach to Select Pre-Trained Embeddings for a Downstream Task
Son Vu Xuan |
Thanh Vu |
Son Tran |
Lili Jiang |
Discourse-Aware Hierarchical Attention Network for Extractive Single-Document Summarization
Tatsuya Ishigaki |
Hidetaka Kamigaito |
Hiroya Takamura |
Manabu Okumura |
Analysing the Impact of Supervised Machine Learning on Automatic Term Extraction: HAMLET vs TermoStat
Ayla Rigouts Terryn |
Patrick Drouin |
Veronique Hoste |
Els Lefever |
Multilingual Dynamic Topic Model
Elaine Zosa |
Mark Granroth-Wilding |
Quotation Detection and Classification with a Corpus-Agnostic Model
Sean Papay |
Sebastian Padó |
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