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*SEM - 2020
Total Papers:- 20
Total Papers accross all years:- 170
Total Citations :- 0
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Fine-tuning BERT with Focus Words for Explanation Regeneration
Isaiah Onando Mulang’ |
Jennifer D’Souza |
Sören Auer |
Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics
Iryna Gurevych |
Marianna Apidianaki |
Manaal Faruqui |
Reading Comprehension as Natural Language Inference:A Semantic Analysis
Anshuman Mishra |
Dhruvesh Patel |
Aparna Vijayakumar |
Xiang Li |
Pavan Kapanipathi |
Kartik Talamadupula |
A Visuospatial Dataset for Naturalistic Verb Learning
Dylan Ebert |
Ellie Pavlick |
Knowledge Graphs meet Moral Values
Ioana Hulpuș |
Jonathan Kobbe |
Heiner Stuckenschmidt |
Graeme Hirst |
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking
Jianguo Zhang |
Kazuma Hashimoto |
Chien-Sheng Wu |
Yao Wang |
Philip Yu |
Richard Socher |
Caiming Xiong |
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT
Abhilasha Ravichander |
Eduard Hovy |
Kaheer Suleman |
Adam Trischler |
Jackie Chi Kit Cheung |
“where is this relationship going?”: Understanding Relationship Trajectories in Narrative Text
Keen You |
Dan Goldwasser |
Improving Medical NLI Using Context-Aware Domain Knowledge
Shaika Chowdhury |
Philip Yu |
Yuan Luo |
Joint Training for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora
Ali Hakimi Parizi |
Paul Cook |
Learning as Abduction: Trainable Natural Logic Theorem Prover for Natural Language Inference
Lasha Abzianidze |
Automatic Learning of Modality Exclusivity Norms with Crosslingual Word Embeddings
Emmanuele Chersoni |
Rong Xiang |
Qin Lu |
Chu-Ren Huang |
evision PDF of 'Natural Language Inference with Mixed Effects
William Gantt |
Benjamin Kane |
Aaron Steven White |
Learning Negation Scope from Syntactic Structure
Nick McKenna |
Mark Steedman |
Semantic Structural Decomposition for Neural Machine Translation
Elior Sulem |
Omri Abend |
Ari Rappoport |
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