conftrace_

CoNLL 2019

115 papers

Weird Inflects but OK: Making Sense of Morphological Generation Errors

Kyle Gorman, Arya D. McCarthy, Ryan Cotterell, Ekaterina Vylomova, Miikka Silfverberg

Learning Conceptual Spaces with Disentangled Facets

Rana Alshaikh, Zied Bouraoui, Steven Schockaert

Federated Learning of N-Gram Language Models

Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen

Cross-Lingual Word Embeddings and the Structure of the Human Bilingual Lexicon

Paola Merlo, Maria Andueza Rodriguez

Representing Movie Characters in Dialogues

Mahmoud Azab, Noriyuki Kojima, Jia Deng, Rada Mihalcea

Compositional Generalization in Image Captioning

Mitja Nikolaus, Mostafa Abdou, Matthew Lamm, Rahul Aralikatte, Desmond Elliott

Say Anything: Automatic Semantic Infelicity Detection in L2 English Indefinite Pronouns

Ella Rabinovich, Julia Watson, Barend Beekhuizen, Suzanne Stevenson

Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models

Grusha Prasad, Marten van Schijndel, Tal Linzen

Large-Scale Representation Learning from Visually Grounded Untranscribed Speech

Gabriel Ilharco, yuan zhang, Jason Baldridge

Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering

J. Edward Hu, Abhinav Singh, Nils Holzenberger, Matt Post, Benjamin Van Durme

Investigating Cross-Lingual Alignment Methods for Contextualized Embeddings with Token-Level Evaluation

Qianchu Liu, Diana McCarthy, Ivan Vulić, Anna Korhonen

Multilingual Model Using Cross-Task Embedding Projection

Jin Sakuma, Naoki Yoshinaga

Deconstructing Supertagging into Multi-Task Sequence Prediction

Zhenqi Zhu, Anoop Sarkar

Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment

Jaap Jumelet, Willem Zuidema, Dieuwke Hupkes

Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)

Mohit Bansal, Aline Villavicencio