Papers
YNU-HPCC at Semeval-2018 Task 11: Using an Attention-based CNN-LSTM for Machine Comprehension using Commonsense Knowledge
Hang Yuan, Jin Wang, Xuejie Zhang
CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment
Zhengping Jiang, Qi Sun
ECNU at SemEval-2018 Task 11: Using Deep Learning Method to Address Machine Comprehension Task
Yixuan Sheng, Man Lan, Yuanbin Wu
YNU_AI1799 at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge of Different model ensemble
Qingxun Liu, Hongdou Yao, Xaobing Zhou et al.
ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge
José-Ángel González, Lluís-F. Hurtado, Encarna Segarra et al.
NTU NLP Lab System at SemEval-2018 Task 10: Verifying Semantic Differences by Integrating Distributional Information and Expert Knowledge
Yow-Ting Shiue, Hen-Hsen Huang, Hsin-Hsi Chen
UMD at SemEval-2018 Task 10: Can Word Embeddings Capture Discriminative Attributes?
Alexander Zhang, Marine Carpuat
ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet
Rui Mao, Guanyi Chen, Ruizhe Li et al.
UNBNLP at SemEval-2018 Task 10: Evaluating unsupervised approaches to capturing discriminative attributes
Milton King, Ali Hakimi Parizi, Paul Cook
Discriminator at SemEval-2018 Task 10: Minimally Supervised Discrimination
Artur Kulmizev, Mostafa Abdou, Vinit Ravishankar et al.
AmritaNLP at SemEval-2018 Task 10: Capturing discriminative attributes using convolution neural network over global vector representation.
Vivek Vinayan, Anand Kumar M, Soman K P
ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection
Yunxiao Zhou, Man Lan, Yuanbin Wu
BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes
Enrico Santus, Chris Biemann, Emmanuele Chersoni
Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge
Robyn Speer, Joanna Lowry-Duda
UNAM at SemEval-2018 Task 10: Unsupervised Semantic Discriminative Attribute Identification in Neural Word Embedding Cones
Ignacio Arroyo-Fernández, Ivan Meza, Carlos-Francisco Méndez-Cruz
Wolves at SemEval-2018 Task 10: Semantic Discrimination based on Knowledge and Association
Shiva Taslimipoor, Omid Rohanian, Le An Ha et al.
ELiRF-UPV at SemEval-2018 Task 10: Capturing Discriminative Attributes with Knowledge Graphs and Wikipedia
José-Ángel González, Lluís-F. Hurtado, Encarna Segarra et al.
ALB at SemEval-2018 Task 10: A System for Capturing Discriminative Attributes
Bogdan Dumitru, Alina Maria Ciobanu, Liviu P. Dinu
THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model
Chuhan Wu, Fangzhao Wu, Sixing Wu et al.
GHH at SemEval-2018 Task 10: Discovering Discriminative Attributes in Distributional Semantics
Mohammed Attia, Younes Samih, Manaal Faruqui et al.
Meaning_space at SemEval-2018 Task 10: Combining explicitly encoded knowledge with information extracted from word embeddings
Pia Sommerauer, Antske Fokkens, Piek Vossen