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ORCID4th RepL4NLP@ACL 2019, Florence, Italy
- Isabelle Augenstein, Spandana Gella, Sebastian Ruder, Katharina Kann, Burcu Can, Johannes Welbl, Alexis Conneau, Xiang Ren, Marek Rei:
Proceedings of the 4th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2019, Florence, Italy, August 2, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-35-2 - Adrian Benton, Huda Khayrallah, Biman Gujral, Dee Ann Reisinger, Sheng Zhang, Raman Arora:
Deep Generalized Canonical Correlation Analysis. 1-6 - Matthew E. Peters, Sebastian Ruder, Noah A. Smith:
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks. 7-14 - Akshay Budhkar, Krishnapriya Vishnubhotla, Safwan Hossain, Frank Rudzicz:
Generative Adversarial Networks for Text Using Word2vec Intermediaries. 15-26 - Alessandro Raganato
, Raúl Vázquez, Mathias Creutz, Jörg Tiedemann:
An Evaluation of Language-Agnostic Inner-Attention-Based Representations in Machine Translation. 27-32 - Raúl Vázquez, Alessandro Raganato, Jörg Tiedemann, Mathias Creutz:
Multilingual NMT with a Language-Independent Attention Bridge. 33-39 - Maxim Kodryan, Artem M. Grachev, Dmitry I. Ignatov, Dmitry P. Vetrov:
Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks. 40-48 - Nils Rethmeier, Barbara Plank:
MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding. 49-54 - Steffen Eger, Andreas Rücklé, Iryna Gurevych:
Pitfalls in the Evaluation of Sentence Embeddings. 55-60 - Yunsu Kim, Hendrik Rosendahl, Nick Rossenbach, Jan Rosendahl, Shahram Khadivi, Hermann Ney:
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron. 61-71 - Aishwarya Kamath, Jonas Pfeiffer, Edoardo Maria Ponti, Goran Glavas, Ivan Vulic:
Specializing Distributional Vectors of All Words for Lexical Entailment. 72-83 - Aikaterini-Lida Kalouli, Valeria de Paiva, Richard S. Crouch:
Composing Noun Phrase Vector Representations. 84-95 - Stefan Schweter, Johannes Baiter:
Towards Robust Named Entity Recognition for Historic German. 96-103 - Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla, Samuel Broscheit, Christian Meilicke:
On Evaluating Embedding Models for Knowledge Base Completion. 104-112 - Konstantinos Kogkalidis, Michael Moortgat, Tejaswini Deoskar:
Constructive Type-Logical Supertagging With Self-Attention Networks. 113-123 - Bryan Eikema, Wilker Aziz:
Auto-Encoding Variational Neural Machine Translation. 124-141 - Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang:
Learning Bilingual Word Embeddings Using Lexical Definitions. 142-147 - Andrés García-Silva, Cristian Berrio, José Manuél Gómez-Pérez:
An Empirical Study on Pre-trained Embeddings and Language Models for Bot Detection. 148-155 - Vinit Ravishankar, Lilja Øvrelid, Erik Velldal:
Probing Multilingual Sentence Representations With X-Probe. 156-168 - Federico López, Benjamin Heinzerling, Michael Strube:
Fine-Grained Entity Typing in Hyperbolic Space. 169-180 - Genta Indra Winata, Zhaojiang Lin, Pascale Fung:
Learning Multilingual Meta-Embeddings for Code-Switching Named Entity Recognition. 181-186 - Bálint Döbrössy, Márton Makrai, Balázs Tarján, György Szaszák:
Investigating Sub-Word Embedding Strategies for the Morphologically Rich and Free Phrase-Order Hungarian. 187-193 - Amir Hadifar, Lucas Sterckx, Thomas Demeester, Chris Develder:
A Self-Training Approach for Short Text Clustering. 194-199 - Vishwani Gupta, Sven Giesselbach, Stefan Rüping, Christian Bauckhage:
Improving Word Embeddings Using Kernel PCA. 200-208 - Dennis Ulmer, Dieuwke Hupkes, Elia Bruni:
Assessing Incrementality in Sequence-to-Sequence Models. 209-217 - Sparsh Gupta, Vitor R. Carvalho:
On Committee Representations of Adversarial Learning Models for Question-Answer Ranking. 218-223 - Abiola Obamuyide, Andreas Vlachos:
Meta-Learning Improves Lifelong Relation Extraction. 224-229 - Lena Shakurova, Beata Nyari, Chao Li, Mihai Rotaru:
Best Practices for Learning Domain-Specific Cross-Lingual Embeddings. 230-234 - Vikas Raunak, Vivek Gupta, Florian Metze:
Effective Dimensionality Reduction for Word Embeddings. 235-243 - Alexey Zobnin, Evgenia Elistratova:
Learning Word Embeddings without Context Vectors. 244-249 - Muthuraman Chidambaram, Yinfei Yang, Daniel Cer, Steve Yuan, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil:
Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model. 250-259 - Elham J. Barezi, Pascale Fung:
Modality-based Factorization for Multimodal Fusion. 260-269 - Ignatius Ezeani, Scott Piao, Steven Neale, Paul Rayson, Dawn Knight:
Leveraging Pre-Trained Embeddings for Welsh Taggers. 270-280
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