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Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Ev...

Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model Permalink

Parishad BehnamGhader, Santiago Miret, Siva Reddy

The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents Permalink

Xing Han Lu, Siva Reddy, Harm de Vries

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP Permalink

Anya Belz, Craig Thomson, E. Reiter, Gavin Abercrombie, J. Alonso-Moral, Mohammad Arvan, J. Cheung, Mark Cieliebak, Elizabeth Clark, K. V. Deemter, Tanvi Din...

How Useful are Educational Questions Generated by Large Language Models? Permalink

Sabina Elkins, E. Kochmar, J. Cheung, Iulian Serban

Investigating Failures to Generalize for Coreference Resolution Models Permalink

Ian Porada, Alexandra Olteanu, Kaheer Suleman, A. Trischler, J. Cheung

Systematic Rectification of Language Models via Dead-end Analysis Permalink

Mengyao Cao, Mehdi Fatemi, J. Cheung, S. Shabanian

Learning with Rejection for Abstractive Text Summarization Permalink

Mengyao Cao, Yue Dong, Jingyi He, J. Cheung

Using In-Context Learning to Improve Dialogue Safety Permalink

Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Z. Hakkani-Tür

Combining Parameter-efficient Modules for Task-level Generalisation Permalink

E. Ponti, Alessandro Sordoni, Y. Bengio, Siva Reddy

The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources Permalink

Akshatha Arodi, Martin Pömsl, Kaheer Suleman, A. Trischler, Alexandra Olteanu, J. Cheung

The Curious Case of Absolute Position Embeddings Permalink

Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams

Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining Permalink

Andreas Madsen, Nicholas Meade, Vaibhav Adlakha, Siva Reddy

Post-hoc Interpretability for Neural NLP: A Survey Permalink

Andreas Madsen, Siva Reddy, Sarath Chandar

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Permalink

Big Bench

Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems Permalink

Devang Kulshreshtha, Muhammad Shayan, Robert Belfer, Siva Reddy, Iulian Serban, E. Kochmar

Question Personalization in an Intelligent Tutoring System Permalink

Sabina Elkins, Robert Belfer, E. Kochmar, Iulian Serban, J. Cheung

MaskEval: Weighted MLM-Based Evaluation for Text Summarization and Simplification Permalink

Yu Lu Liu, Rachel Bawden, Thomas Scaliom, Benoît Sagot, J. Cheung

An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models Permalink

Nicholas Meade, Elinor Poole-Dayan, Siva Reddy

Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment Permalink

Zichao Li, Prakhar Sharma, Xing Han Lu, Jackie C. K. Cheung, Siva Reddy

Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation Permalink

Kushal Arora, Layla El Asri, Hareesh Bahuleyan, J. Cheung

IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages Permalink

Emanuele Bugliarello, Fangyu Liu, Jonas Pfeiffer, Siva Reddy, Desmond Elliott, E. Ponti, Ivan Vulic

Does entity abstraction help generative Transformers reason? Permalink

Nicolas Gontier, Siva Reddy, C. Pal

FaithDial: A Faithful Benchmark for Information-Seeking Dialogue Permalink

Nouha Dziri, Ehsan Kamalloo, Sivan Milton, O. Zaiane, Mo Yu, E. Ponti, Siva Reddy

On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? Permalink

Nouha Dziri, Sivan Milton, Mo Yu, Osmar R Zaiane, Siva Reddy

Image Retrieval from Contextual Descriptions Permalink

Benno Krojer, Vaibhav Adlakha, Vibhav Vineet, Yash Goyal, E. Ponti, Siva Reddy

Evaluating Distributional Distortion in Neural Language Modeling Permalink

Benjamin LeBrun, Alessandro Sordoni, T. O’Donnell

Combining Modular Skills in Multitask Learning Permalink

E. Ponti, Alessandro Sordoni, Siva Reddy

Does entity abstraction help generative Transformers reason? Permalink

Nicolas Gontier, Siva Reddy, C. Pal

Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences Permalink

Jad Kabbara, J. Cheung

Source-summary Entity Aggregation in Abstractive Summarization Permalink

J. González, Annie Louis, J. Cheung

A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques Permalink

Malik H. Altakrori, Thomas Scialom, B. Fung, J. Cheung

Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge Permalink

Ian Porada, Alessandro Sordoni, J. Cheung

Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization Permalink

Mengyao Cao, Yue Dong, J. Cheung

Modeling Event Plausibility with Consistent Conceptual Abstraction Permalink

Ian Porada, Kaheer Suleman, A. Trischler, J. Cheung

Characterizing Idioms: Conventionality and Contingency Permalink

Michaela Socolof, J. Cheung, Michael Wagner, T. O’Donnell

TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion Permalink

Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, M. Coates, J. Cheung

Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems Permalink

Matt Grenander, Robert Belfer, E. Kochmar, Iulian Serban, Franccois St-Hilaire, J. Cheung

On-the-Fly Attention Modulation for Neural Generation Permalink

Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, A. Bosselut, J. Cheung, Yejin Choi

Introduction to the special issue on simplicity in grammar learning Permalink

Roni Katzir, T. O’Donnell, E. Rasin

Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization Permalink

Mengyao Cao, Yue Dong, J. Cheung

On-the-Fly Attention Modularization for Neural Generation Permalink

Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, J. Cheung, Yejin Choi

The Topic Confusion Task: A Novel Scenario for Authorship Attribution Permalink

Malik H. Altakrori, J. Cheung, B. Fung

Systematic Generalization with Edge Transformers Permalink

Leon Bergen, T. O’Donnell, Dzmitry Bahdanau

The Power of Prompt Tuning for Low-Resource Semantic Parsing Permalink

Nathan Schucher, Siva Reddy, Harm de Vries

Compositional Generalization in Dependency Parsing Permalink

Emily Goodwin, Siva Reddy, T. O’Donnell, Dzmitry Bahdanau

TopiOCQA: Open-domain Conversational Question Answering with Topic Switching Permalink

Vaibhav Adlakha, S. Dhuliawala, Kaheer Suleman, Harm de Vries, Siva Reddy

Visually Grounded Reasoning across Languages and Cultures Permalink

Fangyu Liu, Emanuele Bugliarello, E. Ponti, Siva Reddy, N. Collier, Desmond Elliott

Modelling Latent Translations for Cross-Lingual Transfer Permalink

E. Ponti, Julia Kreutzer, Ivan Vulic, Siva Reddy

End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering Permalink

Devendra Singh Sachan, Siva Reddy, William Hamilton, Chris Dyer, Dani Yogatama

Minimax and Neyman–Pearson Meta-Learning for Outlier Languages Permalink

E. Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard

Understanding by Understanding Not: Modeling Negation in Language Models Permalink

Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron Courville

Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval Permalink

Devang Kulshreshtha, Robert Belfer, Iulian Serban, Siva Reddy

Linguistic Dependencies and Statistical Dependence Permalink

Jacob Louis Hoover, Alessandro Sordoni, Wenyu Du, T. O’Donnell

Characterizing Idioms: Conventionality and Contingency Permalink

Michaela Socolof, J. C. Cheung, Michael Wagner, T. O’Donnell

The Topic Confusion Task: A Novel Scenario for Authorship Attribution Permalink

Malik H. Altakrori, Jackie Cheung, Benjamin Fung

Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention Permalink

Leon Bergen, Dzmitry Bahdanau, T. O’Donnell

Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering Permalink

M. Guo, Mingda Zhang, Siva Reddy, Malihe Alikhani

The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution Permalink

Malik H. Altakrori, J. C. Cheung, B. Fung

Textual Time Travel: A Temporally Informed Approach to Theory of Mind Permalink

Akshatha Arodi, J. Cheung

Post-Editing Extractive Summaries by Definiteness Prediction Permalink

Jad Kabbara, J. Cheung

Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions Permalink

Arjun Reddy Akula, Spandana Gella, Keze Wang, Song-Chun Zhu, Siva Reddy

Discourse-Aware Unsupervised Summarization for Long Scientific Documents Permalink

Yue Dong, Andrei Mircea, J. Cheung

ADEPT: An Adjective-Dependent Plausibility Task Permalink

Ali Emami, Ian Porada, Alexandra Olteanu, Kaheer Suleman, A. Trischler, J. Cheung

Optimizing Deeper Transformers on Small Datasets Permalink

Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang, J. Cheung, S. Prince, Yanshuai Cao

On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT Permalink

Abhilasha Ravichander, E. Hovy, Kaheer Suleman, A. Trischler, J. Cheung

On Posterior Collapse and Encoder Feature Dispersion in Sequence VAEs Permalink

Teng Long, Yanshuai Cao, J. Cheung

An Analysis of Dataset Overlap on Winograd-Style Tasks Permalink

Ali Emami, A. Trischler, Kaheer Suleman, J. Cheung

Learning Efficient Task-Specific Meta-Embeddings with Word Prisms Permalink

Jingyi He, Kc Tsiolis, Kian Kenyon-Dean, J. Cheung

MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining Permalink

Zhi Wen, Xing Han Lu, Siva Reddy

Deconstructing Word Embedding Algorithms Permalink

Kian Kenyon-Dean, Edward Newell, J. Cheung

TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization Permalink

Clément Jumel, Annie Louis, J. Cheung

Factual Error Correction for Abstractive Summarization Models Permalink

Mengyao Cao, Yue Dong, Jiapeng Wu, J. Cheung

TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion Permalink

Jiapeng Wu, Mengyao Cao, J. Cheung, William L. Hamilton

Multi-Fact Correction in Abstractive Text Summarization Permalink

Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, J. Cheung, Jingjing Liu

StereoSet: Measuring stereotypical bias in pretrained language models Permalink

Moin Nadeem, Anna Bethke, Siva Reddy

Learning Lexical Subspaces in a Distributional Vector Space Permalink

Kushal Arora, Aishik Chakraborty, J. Cheung

HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization Permalink

Yue Dong, Andrei Mircea, J. Cheung

Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles Permalink

Manuel Sage, Pietro Cruciata, Raed Abdo, J. Cheung, Y. Zhao

Storage and Computation of Multimorphemic Words in Turkish Permalink

Rabia Ergin, Emily Morgan, T. O’Donnell

Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing Permalink

Peng Xu, Wei Yang, Wenjie Zi, Keyi Tang, Chengyang Huang, J. Cheung, Yanshuai Cao

Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle Permalink

Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron Courville

Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback Permalink

Makesh Narsimhan Sreedhar, Kun Ni, Siva Reddy

Recursive Top-Down Production for Sentence Generation with Latent Trees Permalink

Shawn Tan, Yikang Shen, T. O’Donnell, Alessandro Sordoni, Aaron C. Courville

Measuring Systematic Generalization in Neural Proof Generation with Transformers Permalink

Nicolas Gontier, Koustuv Sinha, Siva Reddy, C. Pal

Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach Permalink

Wenyu Du, Zhouhan Lin, Yikang Shen, T. O’Donnell, Yoshua Bengio, Yue Zhang

Probing Linguistic Systematicity Permalink

Emily Goodwin, Koustuv Sinha, T. O’Donnell

Words Aren’t Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions Permalink

Arjun Reddy Akula, Spandana Gella, Y. Al-Onaizan, Song-Chun Zhu, Siva Reddy

Statistical Evidence for Learnable Lexical Subclasses in Japanese Permalink

T. Morita, T. O’Donnell

Deconstructing and reconstructing word embedding algorithms Permalink

Edward Newell, Kian Kenyon-Dean, J. Cheung

Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text Permalink

Ian Porada, Kaheer Suleman, J. Cheung

Preventing Posterior Collapse in Sequence VAEs with Pooling Permalink

Teng Long, Yanshuai Cao, J. Cheung

Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses Permalink

Matt Grenander, Yue Dong, J. Cheung, Annie Louis

Referring Expression Generation Using Entity Profiles Permalink

Mengyao Cao, J. Cheung

Generating Character Descriptions for Automatic Summarization of Fiction Permalink

Weiwei Zhang, J. Cheung, J. Oren

Learning Multi-Task Communication with Message Passing for Sequence Learning Permalink

Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, J. Cheung

EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing Permalink

Yue Dong, Zichao Li, Mehdi Rezagholizadeh, J. Cheung

Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples Permalink

Krtin Kumar, J. Cheung

On Variational Learning of Controllable Representations for Text without Supervision Permalink

Peng Xu, J. Cheung, Yanshuai Cao

Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement Permalink

Peng Xu, Yanshuai Cao, J. Cheung

A Cross-Domain Transferable Neural Coherence Model Permalink

Peng Xu, H. Saghir, Jin Sung Kang, Teng Long, A. Bose, Yanshuai Cao, J. Cheung

What comes next? Extractive summarization by next-sentence prediction Permalink

Jingyun Liu, J. Cheung, Annie Louis

Learning Multi-Task Communication with Message Passing Permalink

Peng Liu, Jie Fu, Yue Dong, Xipeng Qiu, J. Cheung

Evaluating systematicity in neural networks with natural language inference Permalink

Emily Goodwin, Koustuv Sinha, T. O’Donnell

Universality and diversity in human song Permalink

Samuel A. Mehr, Manvir Singh, D. Knox, Daniel M. Ketter, Daniel Pickens-Jones, S. Atwood, Christopher Lucas, Nori Jacoby, Alena Egner, Erin J. Hopkins, Rhea ...

Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning Permalink

Willem H. Zuidema, R. French, Raquel G. Alhama, Kevin Ellis, T. O’Donnell, Tim Sainburg, T. Gentner

Clustering-Oriented Representation Learning with Attractive-Repulsive Loss Permalink

Kian Kenyon-Dean, Andre Cianflone, Lucas Page-Caccia, Guillaume Rabusseau, J. Cheung, Doina Precup

Multi-task Learning over Graph Structures Permalink

Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, J. Cheung

Contextualized Non-local Neural Networks for Sequence Learning Permalink

Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, J. Cheung

On the Evaluation of Common-Sense Reasoning in Natural Language Understanding Permalink

P. Trichelair, Ali Emami, J. Cheung, A. Trischler, Kaheer Suleman, Fernando Diaz

How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG Permalink

P. Trichelair, Ali Emami, A. Trischler, Kaheer Suleman, J. Cheung

The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution Permalink

Ali Emami, P. Trichelair, A. Trischler, Kaheer Suleman, Hannes Schulz, J. Cheung

The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution Permalink

Ali Emami, P. Trichelair, A. Trischler, Kaheer Suleman, Hannes Schulz, J. Cheung

A Knowledge Hunting Framework for Common Sense Reasoning Permalink

Ali Emami, Noelia De La Cruz, A. Trischler, Kaheer Suleman, J. Cheung

BanditSum: Extractive Summarization as a Contextual Bandit Permalink

Yue Dong, Yikang Shen, Eric Crawford, H. V. Hoof, J. Cheung

Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers Permalink

Andre Cianflone, Yulan Feng, Jad Kabbara, J. Cheung

Coarse Lexical Frame Acquisition at the Syntax–Semantics Interface Using a Latent-Variable PCFG Model Permalink

Laura Kallmeyer, B. Zadeh, J. Cheung

A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge Permalink

Ali Emami, A. Trischler, Kaheer Suleman, J. Cheung

Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization Permalink

Kian Kenyon-Dean, J. Cheung, Doina Precup

Constructing a Lexicon of Relational Nouns Permalink

Edward Newell, J. Cheung

Commonsense mining as knowledge base completion? A study on the impact of novelty Permalink

Stanislaw Jastrzebski, Dzmitry Bahdanau, Seyedarian Hosseini, Michael Noukhovitch, Yoshua Bengio, J. Cheung

Building a Neural Semantic Parser from a Domain Ontology Permalink

Jianpeng Cheng, Siva Reddy, Mirella Lapata

CoQA: A Conversational Question Answering Challenge Permalink

Siva Reddy, Danqi Chen, Christopher D. Manning

Universality and diversity in human song Permalink

Samuel A. Mehr, Manvir Singh, D. Knox, Daniel M. Ketter, Daniel Pickens-Jones, S. Atwood, Christophe Lucas, Nori Jacoby, Alena Egner, Erin J. Hopkins, Rhea M...

A Hierarchical Neural Attention-based Text Classifier Permalink

Koustuv Sinha, Yue Dong, J. Cheung, D. Ruths

The evolutionary causes of irregularity: Evidence for an irregularization bias in morphological learning Permalink

T. O’Donnell, Kenny Smith

Learning Typed Entailment Graphs with Global Soft Constraints Permalink

Mohammad Javad Hosseini, Nathanael Chambers, Siva Reddy, Xavier R. Holt, Shay B. Cohen, Mark Johnson, Mark Steedman

Arabic Authorship Attribution Permalink

Malik H. Altakrori, F. Iqbal, B. Fung, Steven H. H. Ding, A. Tubaishat

World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions Permalink

Teng Long, Emmanuel Bengio, Ryan Lowe, J. Cheung, Doina Precup

Predicting Success in Goal-Driven Human-Human Dialogues Permalink

Michael Noseworthy, J. Cheung, Joelle Pineau

Detecting Large Concept Extensions for Conceptual Analysis Permalink

L. Chartrand, J. Cheung, M. Bouguessa

Nifty Assignments Permalink

Nick Parlante, Julie Zelenski, Dave Feinberg, Kunal Mishra, Josh Hug, Kevin Wayne, Michael Guerzhoy, J. Cheung, François Pitt

Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data Permalink

Joakim Nivre, Zeljko Agic, Lars Ahrenberg, Lene Antonsen, M. J. Aranzabe, Masayuki Asahara, Luma Ateyah, Mohammed Attia, Aitziber Atutxa, E. Badmaeva, Miguel...

Grammar Induction for Minimalist Grammars using Variational Bayesian Inference : A Technical Report Permalink

Eva Portelance, Amelia Bruno, Daniel Harasim, Leon Bergen, T. O’Donnell

Computer-Assisted Conceptual Analysis of Textual Data as Applied to Philosophical Corpuses Permalink

J. Meunier, L. Chartrand, J. Cheung, Mathieu Valette, M. Bayle

Formalizing accessibility using linguistic productivity Permalink

Kyle Mahowald, J. Tenenbaum, T. O’Donnell

Syntax-aware Neural Machine Translation Using CCG Permalink

Maria Nadejde, Siva Reddy, Rico Sennrich, Tomasz Dwojak, Marcin Junczys-Dowmunt, Philipp Koehn, Alexandra Birch

Learning an Executable Neural Semantic Parser Permalink

Jianpeng Cheng, Siva Reddy, V. Saraswat, Mirella Lapata

Learning to Paraphrase for Question Answering Permalink

Li Dong, Jonathan Mallinson, Siva Reddy, Mirella Lapata

Learning Structured Natural Language Representations for Semantic Parsing Permalink

Jianpeng Cheng, Siva Reddy, V. Saraswat, Mirella Lapata

Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks Permalink

R. Das, M. Zaheer, Siva Reddy, A. McCallum

Universal Dependencies to Logical Form with Negation Scope Permalink

Federico Fancellu, Siva Reddy, Adam Lopez, B. Webber

Universal Semantic Parsing Permalink

Siva Reddy, Oscar Täckström, Slav Petrov, Mark Steedman, Mirella Lapata

Predicting Target Language CCG Supertags Improves Neural Machine Translation Permalink

Maria Nadejde, Siva Reddy, Rico Sennrich, Tomasz Dwojak, Marcin Junczys-Dowmunt, Philipp Koehn, Alexandra Birch

CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies Permalink

Daniel Zeman, M. Popel, Milan Straka, Jan Hajic, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis M. Tyers...