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Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering.

, , and . CoRR, (2018)

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IIT-TUDA: System for Sentiment Analysis in Indian Languages Using Lexical Acquisition., , , and . MIKE, volume 9468 of Lecture Notes in Computer Science, page 684-693. Springer, (2015)Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering., , and . CoRR, (2018)Matching, Re-Ranking and Scoring: Learning Textual Similarity by Incorporating Dependency Graph Alignment and Coverage Features., and . CICLing (1), volume 10761 of Lecture Notes in Computer Science, page 377-390. Springer, (2017)IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification., , , , , , and . SemEval@ACL, page 90-97. Association for Computational Linguistics, (2017)Unsupervised Induction of Domain Dependency Graphs - Extracting, Understanding and Visualizing Domain Knowledge.. University of Hamburg, Germany, (2019)Learning Graph Embeddings from WordNet-based Similarity Measures., , , , , and . CoRR, (2018)IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis., , , , and . SemEval@NAACL-HLT, page 1129-1135. The Association for Computer Linguistics, (2016)STS-UHH at SemEval-2017 Task 1: Scoring Semantic Textual Similarity Using Supervised and Unsupervised Ensemble., , and . SemEval@ACL, page 175-179. Association for Computational Linguistics, (2017)Unsupervised Topic-Specific Domain Dependency Graphs for Aspect Identification in Sentiment Analysis.. RANLP, page 16-23. RANLP 2015 Organising Committee / ACL, (2015)Feature Selection Using Multi-objective Optimization for Aspect Based Sentiment Analysis., , , , and . NLDB, volume 10260 of Lecture Notes in Computer Science, page 15-27. Springer, (2017)