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  1. No Access

    Chapter and Conference Paper

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

    Answer triggering is the task of selecting the best-suited answer for a given question from a set of candidate answers if it exists. This paper presents a hybrid deep learning model for answer triggering, whic...

    Deepak Gupta, Sarah Kohail… in Computational Linguistics and Intelligent … (2023)

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    Chapter and Conference Paper

    Matching, Re-Ranking and Scoring: Learning Textual Similarity by Incorporating Dependency Graph Alignment and Coverage Features

    In this work, we introduce a supervised model for learning textual similarity, which can identify and score similarity between a set of candidate texts and a given query text. By combining dependency graph sim...

    Sarah Kohail, Chris Biemann in Computational Linguistics and Intelligent Text Processing (2018)

  3. No Access

    Chapter and Conference Paper

    Feature Selection Using Multi-objective Optimization for Aspect Based Sentiment Analysis

    In this paper, we propose a system for aspect-based sentiment analysis (ABSA) by incorporating the concepts of multi-objective optimization (MOO), distributional thesaurus (DT) and unsupervised lexical inducti...

    Md Shad Akhtar, Sarah Kohail, Amit Kumar… in Natural Language Processing and Informatio… (2017)

  4. No Access

    Chapter and Conference Paper

    IIT-TUDA: System for Sentiment Analysis in Indian Languages Using Lexical Acquisition

    Social networking platforms such as Facebook and Twitter have become a very popular communication tools among online users to share and express opinions and sentiment about the surrounding world. The availabil...

    Ayush Kumar, Sarah Kohail, Asif Ekbal… in Mining Intelligence and Knowledge Explorat… (2015)