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

no code implementations • 5 Aug 2018 • Deepak Gupta, Sarah Kohail, Pushpak Bhattacharyya

Answer triggering is the task of selecting the best-suited answer for a given question from a set of candidate answers if exists.

IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification

1 code implementation • SEMEVAL 2017 • N, Titas i, Chris Biemann, Seid Muhie Yimam, Deepak Gupta, Sarah Kohail, Asif Ekbal, Pushpak Bhattacharyya

In this paper we present the system for Answer Selection and Ranking in Community Question Answering, which we build as part of our participation in SemEval-2017 Task 3.

Answer Selection Community Question Answering +1

STS-UHH at SemEval-2017 Task 1: Scoring Semantic Textual Similarity Using Supervised and Unsupervised Ensemble

no code implementations • SEMEVAL 2017 • Sarah Kohail, Amr Rekaby Salama, Chris Biemann

This paper reports the STS-UHH participation in the SemEval 2017 shared Task 1 of Semantic Textual Similarity (STS).

Graph Similarity Information Retrieval +5

IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis

no code implementations • SEMEVAL 2016 • Ayush Kumar, Sarah Kohail, Amit Kumar, Asif Ekbal, Chris Biemann

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1

Unsupervised Topic-Specific Domain Dependency Graphs for Aspect Identification in Sentiment Analysis

no code implementations • RANLP 2015 • Sarah Kohail

Aspect-Based Sentiment Analysis (ABSA) Information Retrieval +2