Papers
HOLMS: Alternative Summary Evaluation with Large Language Models
Yassine Mrabet, Dina Demner-Fushman
Homonym normalisation by word sense clustering: a case in Japanese
Yo Sato, Kevin Heffernan
HopeEDI: A Multilingual Hope Speech Detection Dataset for Equality, Diversity, and Inclusion
Bharathi Raja Chakravarthi
How coherent are neural models of coherence?
Leila Pishdad, Federico Fancellu, Ran Zhang et al.
How Domain Terminology Affects Meeting Summarization Performance
Jia Jin Koay, Alexander Roustai, Xiaojin Dai et al.
How Far Can We Go with Just Out-of-the-box BERT Models?
Lucie Gattepaille
How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT’s Attention
Yue Guan, Jingwen Leng, Chao Li et al.
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text
Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi
How Positive Are You: Text Style Transfer using Adaptive Style Embedding
Heejin Kim, Kyung-Ah Sohn
How Relevant Are Selectional Preferences for Transformer-based Language Models?
Eleni Metheniti, Tim Van de Cruys, Nabil Hathout
HPCC-YNU at SemEval-2020 Task 9: A Bilingual Vector Gating Mechanism for Sentiment Analysis of Code-Mixed Text
Jun Kong, Jin Wang, Xuejie Zhang
HR@JUST Team at SemEval-2020 Task 4: The Impact of RoBERTa Transformer for Evaluation Common Sense Understanding
Heba Al-Jarrah, Rahaf Al-Hamouri, Mohammad AL-Smadi
Human or Neural Translation?
Shivendra Bhardwaj, David Alfonso Hermelo, Phillippe Langlais et al.
Humans Meet Models on Object Naming: A New Dataset and Analysis
Carina Silberer, Sina Zarrieß, Matthijs Westera et al.
HumorAAC at SemEval-2020 Task 7: Assessing the Funniness of Edited News Headlines through Regression and Trump Mentions
Anna-Katharina Dick, Charlotte Weirich, Alla Kutkina
Hy-NLI: a Hybrid system for Natural Language Inference
Aikaterini-Lida Kalouli, Richard Crouch, Valeria de Paiva
I2C at SemEval-2020 Task 12: Simple but Effective Approaches to Offensive Speech Detection in Twitter
Victoria Pachón Álvarez, Jacinto Mata Vázquez, José Manuel López Betanzos et al.
iCompass at SemEval-2020 Task 12: From a Syntax-ignorant N-gram Embeddings Model to a Deep Bidirectional Language Model
Abir Messaoudi, Hatem Haddad, Moez Ben Haj Hmida
Identification of Medication Tweets Using Domain-specific Pre-trained Language Models
Yandrapati Prakash Babu, Rajagopal Eswari
Identifying and Handling Cross-Treebank Inconsistencies in UD: A Pilot Study
Tillmann Dönicke, Xiang Yu, Jonas Kuhn
Identifying Annotator Bias: A new IRT-based method for bias identification
Jacopo Amidei, Paul Piwek, Alistair Willis
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework
Shweta Yadav, Jainish Chauhan, Joy Prakash Sain et al.
Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at #SMM4H 2020
V.G.Vinod Vydiswaran, Deahan Yu, Xinyan Zhao et al.