CoNLL 2019

115 papers

Peking at MRP 2019: Factorization- and Composition-Based Parsing for Elementary Dependency Structures

Yufei Chen, Yajie Ye, Weiwei Sun

ÚFAL-Oslo at MRP 2019: Garage Sale Semantic Parsing

Kira Droganova, Andrey Kutuzov, Nikita Mediankin, Daniel Zeman

SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT

Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang

Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring

Jie Cao, Yi Zhang, Adel Youssef, Vivek Srikumar

ÚFAL MRPipe at MRP 2019: UDPipe Goes Semantic in the Meaning Representation Parsing Shared Task

Milan Straka, Jana Straková

Hitachi at MRP 2019: Unified Encoder-to-Biaffine Network for Cross-Framework Meaning Representation Parsing

Yuta Koreeda, Gaku Morio, Terufumi Morishita, Hiroaki Ozaki, Kohsuke Yanai

CUHK at MRP 2019: Transition-Based Parser with Cross-Framework Variable-Arity Resolve Action

Sunny Lai, Chun Hei Lo, Kwong Sak Leung, Yee Leung

JBNU at MRP 2019: Multi-level Biaffine Attention for Semantic Dependency Parsing

Seung-Hoon Na, Jinwoon Min, Kwanghyeon Park, Jong-hun Shin, Young-Kil Kim

SJTU at MRP 2019: A Transition-Based Multi-Task Parser for Cross-Framework Meaning Representation Parsing

Hongxiao Bai, Hai Zhao

HIT-SCIR at MRP 2019: A Unified Pipeline for Meaning Representation Parsing via Efficient Training and Effective Encoding

Wanxiang Che, Longxu Dou, Yang Xu, Yuxuan Wang, Yijia Liu

Saarland at MRP 2019: Compositional parsing across all graphbanks

Lucia Donatelli, Meaghan Fowlie, Jonas Groschwitz, Alexander Koller, Matthias Lindemann

ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing

Xinyu Wang, Yixian Liu, Zixia Jia, Chengyue Jiang, Kewei Tu

SJTU-NICT at MRP 2019: Multi-Task Learning for End-to-End Uniform Semantic Graph Parsing

Zuchao Li, Hai Zhao, Zhuosheng Zhang, Rui Wang, Masao Utiyama

The ERG at MRP 2019: Radically Compositional Semantic Dependencies

Stephan Oepen, Dan Flickinger

TUPA at MRP 2019: A Multi-Task Baseline System

Daniel Hershcovich, Ofir Arviv

MRP 2019: Cross-Framework Meaning Representation Parsing

Stephan Oepen, Omri Abend, Jan Hajic, Daniel Hershcovich, Marco Kuhlmann

Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning

Stephan Oepen, Omri Abend, Jan Hajic, Daniel Hershcovich, Marco Kuhlmann

Towards a Unified End-to-End Approach for Fully Unsupervised Cross-Lingual Sentiment Analysis

Yanlin Feng, Xiaojun Wan

Predicting the Role of Political Trolls in Social Media

Atanas Atanasov, Gianmarco De Francisci Morales, Preslav Nakov

Coherence-based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification

Tushaar Gangavarapu, Gokul S Krishnan, Sowmya Kamath S

Cluster-Gated Convolutional Neural Network for Short Text Classification

Haidong Zhang, Wancheng Ni, Meijing Zhao, Ziqi Lin

A Personalized Sentiment Model with Textual and Contextual Information

Siwen Guo, Sviatlana Höhn, Christoph Schommer

Multi-Level Sentiment Analysis of PolEmo 2.0: Extended Corpus of Multi-Domain Consumer Reviews

Jan Kocon, Piotr Miłkowski, Monika Zaśko-Zielińska

Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis

Mengting Hu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su

Variational Semi-Supervised Aspect-Term Sentiment Analysis via Transformer

Xingyi Cheng, Weidi Xu, Taifeng Wang, Wei Chu, Weipeng Huang

Reduce & Attribute: Two-Step Authorship Attribution for Large-Scale Problems

Michael Tschuggnall, Benjamin Murauer, Günther Specht

Studying Generalisability across Abusive Language Detection Datasets

Steve Durairaj Swamy, Anupam Jamatia, Björn Gambäck

On Model Stability as a Function of Random Seed

Pranava Madhyastha, Rishabh Jain

A Simple and Effective Method for Injecting Word-Level Information into Character-Aware Neural Language Models

Yukun Feng, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura

Learning Analogy-Preserving Sentence Embeddings for Answer Selection

Aïssatou Diallo, Markus Zopf, Johannes Fürnkranz

Global Autoregressive Models for Data-Efficient Sequence Learning

Tetiana Parshakova, Jean-Marc Andreoli, Marc Dymetman

Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes

Noémien Kocher, Christian Scuito, Lorenzo Tarantino, Alexandros Lazaridis, Andreas Fischer

Slang Detection and Identification

Zhengqi Pei, Zhewei Sun, Yang Xu

BIOfid Dataset: Publishing a German Gold Standard for Named Entity Recognition in Historical Biodiversity Literature

Sajawel Ahmed, Manuel Stoeckel, Christine Driller, Adrian Pachzelt, Alexander Mehler

Self-Adaptive Scaling for Learnable Residual Structure

Fenglin Liu, Meng Gao, Yuanxin Liu, Kai Lei

Do Massively Pretrained Language Models Make Better Storytellers?

Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, Christopher D. Manning

Generating Formality-Tuned Summaries Using Input-Dependent Rewards

Kushal Chawla, Balaji Vasan Srinivasan, Niyati Chhaya

In Conclusion Not Repetition: Comprehensive Abstractive Summarization with Diversified Attention Based on Determinantal Point Processes

Lei Li, Wei Liu, Marina Litvak, Natalia Vanetik, Zuying Huang

Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text

Vishwajeet Kumar, Ganesh Ramakrishnan, Yuan-Fang Li

Goal-Embedded Dual Hierarchical Model for Task-Oriented Dialogue Generation

Yi-An Lai, Arshit Gupta, Yi Zhang

Pretraining-Based Natural Language Generation for Text Summarization

Haoyu Zhang, Jingjing Cai, Jianjun Xu, Ji Wang

TILM: Neural Language Models with Evolving Topical Influence

Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni, ChengXiang Zhai

Window-Based Neural Tagging for Shallow Discourse Argument Labeling

René Knaebel, Manfred Stede, Sebastian Stober

Slot Tagging for Task Oriented Spoken Language Understanding in Human-to-Human Conversation Scenarios

Kunho Kim, Rahul Jha, Kyle Williams, Alex Marin, Imed Zitouni

Relation Module for Non-Answerable Predictions on Reading Comprehension

Kevin Huang, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou

TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-Based Chatbots

Wentao Ma, Yiming Cui, Nan Shao, Su He, Wei-Nan Zhang

Memory Graph Networks for Explainable Memory-grounded Question Answering

Seungwhan Moon, Pararth Shah, Anuj Kumar, Rajen Subba

Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots

Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao

Ashraf Mahgoub, Youssef Shahin, Riham Mansour, Saurabh Bagchi

Evidence Sentence Extraction for Machine Reading Comprehension

Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu

Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification

Hsin-Ping Huang, Junyi Jessy Li

Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking

Samuel Broscheit

Deep Structured Neural Network for Event Temporal Relation Extraction

Rujun Han, I-Hung Hsu, Mu Yang, Aram Galstyan, Ralph Weischedel

Contextualized Cross-Lingual Event Trigger Extraction with Minimal Resources

Meryem M’hamdi, Marjorie Freedman, Jonathan May

Named Entity Recognition with Partially Annotated Training Data

Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth

Low-Rank Approximations of Second-Order Document Representations

Jarkko Lagus, Janne Sinkkonen, Arto Klami

Named Entity Recognition - Is There a Glass Ceiling?

Tomasz Stanislawek, Anna Wróblewska, Alicja Wójcicka, Daniel Ziembicki, Przemyslaw Biecek

Exploiting the Entity Type Sequence to Benefit Event Detection

Yuze Ji, Youfang Lin, Jianwei Gao, Huaiyu Wan

Effective Attention Modeling for Neural Relation Extraction

Tapas Nayak, Hwee Tou Ng

MrMep: Joint Extraction of Multiple Relations and Multiple Entity Pairs Based on Triplet Attention

Jiayu Chen, Caixia Yuan, Xiaojie Wang, Ziwei Bai

BeamSeg: A Joint Model for Multi-Document Segmentation and Topic Identification

Pedro Mota, Maxine Eskenazi, Luísa Coheur

Roll Call Vote Prediction with Knowledge Augmented Models

Pallavi Patil, Kriti Myer, Ronak Zala, Arpit Singh, Sheshera Mysore

Neural Attentive Bag-of-Entities Model for Text Classification

Ikuya Yamada, Hiroyuki Shindo

KnowSemLM: A Knowledge Infused Semantic Language Model

Haoruo Peng, Qiang Ning, Dan Roth

CogniVal: A Framework for Cognitive Word Embedding Evaluation

Nora Hollenstein, Antonio de la Torre, Nicolas Langer, Ce Zhang

Learning Dense Representations for Entity Retrieval

Daniel Gillick, Sayali Kulkarni, Larry Lansing, Alessandro Presta, Jason Baldridge

Learning a Unified Named Entity Tagger from Multiple Partially Annotated Corpora for Efficient Adaptation

Xiao Huang, Li Dong, Elizabeth Boschee, Nanyun Peng

Detecting Frames in News Headlines and Its Application to Analyzing News Framing Trends Surrounding U.S. Gun Violence

Siyi Liu, Lei Guo, Kate Mays, Margrit Betke, Derry Tanti Wijaya

A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking

Andreas Hanselowski, Christian Stab, Claudia Schulz, Zile Li, Iryna Gurevych

A General-Purpose Algorithm for Constrained Sequential Inference

Daniel Deutsch, Shyam Upadhyay, Dan Roth

Active Learning via Membership Query Synthesis for Semi-Supervised Sentence Classification

Raphael Schumann, Ines Rehbein

How Does Grammatical Gender Affect Noun Representations in Gender-Marking Languages?

Hila Gonen, Yova Kementchedjhieva, Yoav Goldberg

On the Limits of Learning to Actively Learn Semantic Representations

Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, Jonathan Berant

Procedural Reasoning Networks for Understanding Multimodal Procedures

Mustafa Sercan Amac, Semih Yagcioglu, Aykut Erdem, Erkut Erdem

Leveraging Past References for Robust Language Grounding

Subhro Roy, Michael Noseworthy, Rohan Paul, Daehyung Park, Nicholas Roy

A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions

Jack Hessel, Bo Pang, Zhenhai Zhu, Radu Soricut

Automated Pyramid Summarization Evaluation

Yanjun Gao, Chen Sun, Rebecca J. Passonneau

Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue

Justin Dieter, Tian Wang, Arun Tejasvi Chaganty, Gabor Angeli, Angel X. Chang

A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification

Ruizhe Li, Chenghua Lin, Matthew Collinson, Xiao Li, Guanyi Chen

Cross-Lingual Dependency Parsing with Unlabeled Auxiliary Languages

Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Kai-Wei Chang, Nanyun Peng

Linguistic Analysis Improves Neural Metaphor Detection

Kevin Stowe, Sarah Moeller, Laura Michaelis, Martha Palmer

EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference

Abhilasha Ravichander, Aakanksha Naik, Carolyn Rose, Eduard Hovy

Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech

William N. Havard, Jean-Pierre Chevrot, Laurent Besacier

On the Relation between Position Information and Sentence Length in Neural Machine Translation

Masato Neishi, Naoki Yoshinaga

Improving Pre-Trained Multilingual Model with Vocabulary Expansion

Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu

Low-Resource Parsing with Crosslingual Contextualized Representations

Phoebe Mulcaire, Jungo Kasai, Noah A. Smith

Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation

Leshem Choshen, Omri Abend

Unsupervised Neural Machine Translation with Future Rewarding

Xiangpeng Wei, Yue Hu, Luxi Xing, Li Gao

Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences

Genta Indra Winata, Andrea Madotto, Chien-Sheng Wu, Pascale Fung

Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning

Xuewen Shi, Heyan Huang, Wenguan Wang, Ping Jian, Yi-Kun Tang

Policy Preference Detection in Parliamentary Debate Motions

Gavin Abercrombie, Federico Nanni, Riza Batista-Navarro, Simone Paolo Ponzetto

Representation Learning and Dynamic Programming for Arc-Hybrid Parsing

Joseph Le Roux, Antoine Rozenknop, Mathieu Lacroix

Comparing Top-Down and Bottom-Up Neural Generative Dependency Models

Austin Matthews, Graham Neubig, Chris Dyer

On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages

Yi Zhu, Benjamin Heinzerling, Ivan Vulić, Michael Strube, Roi Reichart

Fully Unsupervised Crosslingual Semantic Textual Similarity Metric Based on BERT for Identifying Parallel Data

Chi-kiu Lo, Michel Simard

Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets

Ohad Rozen, Vered Shwartz, Roee Aharoni, Ido Dagan

Generating Timelines by Modeling Semantic Change

Guy D. Rosin, Kira Radinsky

Made for Each Other: Broad-Coverage Semantic Structures Meet Preposition Supersenses

Jakob Prange, Nathan Schneider, Omri Abend

Improving Natural Language Understanding by Reverse Mapping Bytepair Encoding

Chaodong Tong, Huailiang Peng, Qiong Dai, Lei Jiang, Jianghua Huang

Learning to Represent Bilingual Dictionaries

Muhao Chen, Yingtao Tian, Haochen Chen, Kai-Wei Chang, Steven Skiena