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CoNLL - 2018
Total Papers:- 101
Total Papers accross all years:- 1554
Total Citations :- 79
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Evolutionary Data Measures: Understanding the Difficulty of Text Classification Tasks
Edward Collins |
Nikolai Rozanov |
Bingbing Zhang |
Vectorial Semantic Spaces Do Not Encode Human Judgments of Intervention Similarity
Paola Merlo |
Francesco Ackermann |
Lessons Learned in Multilingual Grounded Language Learning
Ákos Kádár |
Desmond Elliott |
Marc-Alexandre Côté |
Grzegorz Chrupała |
Afra Alishahi |
Unsupervised Sentence Compression using Denoising Auto-Encoders
Thibault Fevry |
Jason Phang |
Resources to Examine the Quality of Word Embedding Models Trained on n-Gram Data
Ábel Elekes |
Adrian Englhardt |
Martin Schäler |
Klemens Böhm |
Linguistically-Based Deep Unstructured Question Answering
Ahmad Aghaebrahimian |
DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding
Min Li |
Marina Danilevsky |
Sara Noeman |
Yunyao Li |
Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus
Roxanne El Baff |
Henning Wachsmuth |
Khalid Al-Khatib |
Benno Stein |
Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP)
Trevor Cohen |
Dominic Widdows |
Aggregated Semantic Matching for Short Text Entity Linking
Feng Nie |
Shuyan Zhou |
Jing Liu |
Jinpeng Wang |
Chin-Yew Lin |
Rong Pan |
Improving Response Selection in Multi-Turn Dialogue Systems by Incorporating Domain Knowledge
Debanjan Chaudhuri |
Agustinus Kristiadi |
Jens Lehmann |
Asja Fischer |
The Lifted Matrix-Space Model for Semantic Composition
WooJin Chung |
Sheng-Fu Wang |
Samuel Bowman |
End-to-End Neural Entity Linking
Nikolaos Kolitsas |
Octavian-Eugen Ganea |
Thomas Hofmann |
Modelling Salient Features as Directions in Fine-Tuned Semantic Spaces
Thomas Ager |
Ondřej Kuželka |
Steven Schockaert |
Model Transfer with Explicit Knowledge of the Relation between Class Definitions
Hiyori Yoshikawa |
Tomoya Iwakura |
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