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ORCID23rd CoNLL 2019: Hong Kong, China
- Mohit Bansal, Aline Villavicencio:
Proceedings of the 23rd Conference on Computational Natural Language Learning, CoNLL 2019, Hong Kong, China, November 3-4, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-72-7 - Jaap Jumelet, Willem H. Zuidema, Dieuwke Hupkes:
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment. 1-11 - Zhenqi Zhu, Anoop Sarkar:
Deconstructing Supertagging into Multi-Task Sequence Prediction. 12-21 - Jin Sakuma, Naoki Yoshinaga:
Multilingual Model Using Cross-Task Embedding Projection. 22-32 - Qianchu Liu, Diana McCarthy, Ivan Vulic, Anna Korhonen:
Investigating Cross-Lingual Alignment Methods for Contextualized Embeddings with Token-Level Evaluation. 33-43 - J. Edward Hu, Abhinav Singh, Nils Holzenberger, Matt Post, Benjamin Van Durme:
Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering. 44-54 - Gabriel Ilharco, Yuan Zhang, Jason Baldridge:
Large-Scale Representation Learning from Visually Grounded Untranscribed Speech. 55-65 - Grusha Prasad, Marten van Schijndel
, Tal Linzen:
Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models. 66-76 - Ella Rabinovich, Julia Watson, Barend Beekhuizen, Suzanne Stevenson:
Say Anything: Automatic Semantic Infelicity Detection in L2 English Indefinite Pronouns. 77-86 - Mitja Nikolaus, Mostafa Abdou, Matthew Lamm, Rahul Aralikatte, Desmond Elliott:
Compositional Generalization in Image Captioning. 87-98 - Mahmoud Azab, Noriyuki Kojima, Jia Deng, Rada Mihalcea:
Representing Movie Characters in Dialogues. 99-109 - Paola Merlo, Maria Andueza Rodriguez:
Cross-Lingual Word Embeddings and the Structure of the Human Bilingual Lexicon. 110-120 - Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Françoise Beaufays, Michael Riley:
Federated Learning of N-Gram Language Models. 121-130 - Rana Alshaikh, Zied Bouraoui, Steven Schockaert:
Learning Conceptual Spaces with Disentangled Facets. 131-139 - Kyle Gorman, Arya D. McCarthy, Ryan Cotterell, Ekaterina Vylomova, Miikka Silfverberg, Magdalena Markowska:
Weird Inflects but OK: Making Sense of Morphological Generation Errors. 140-151 - Muhao Chen, Yingtao Tian, Haochen Chen, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo:
Learning to Represent Bilingual Dictionaries. 152-162 - Chaodong Tong, Huailiang Peng, Qiong Dai, Lei Jiang, Jianghua Huang:
Improving Natural Language Understanding by Reverse Mapping Bytepair Encoding. 163-173 - Jakob Prange, Nathan Schneider, Omri Abend:
Made for Each Other: Broad-Coverage Semantic Structures Meet Preposition Supersenses. 174-185 - Guy D. Rosin, Kira Radinsky:
Generating Timelines by Modeling Semantic Change. 186-195 - Ohad Rozen, Vered Shwartz, Roee Aharoni, Ido Dagan:
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets. 196-205 - Chi-kiu Lo, Michel Simard:
Fully Unsupervised Crosslingual Semantic Textual Similarity Metric Based on BERT for Identifying Parallel Data. 206-215 - Yi Zhu, Benjamin Heinzerling, Ivan Vulic, Michael Strube, Roi Reichart, Anna Korhonen:
On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages. 216-226 - Austin Matthews, Graham Neubig, Chris Dyer:
Comparing Top-Down and Bottom-Up Neural Generative Dependency Models. 227-237 - Joseph Le Roux, Antoine Rozenknop, Mathieu Lacroix:
Representation Learning and Dynamic Programming for Arc-Hybrid Parsing. 238-248 - Gavin Abercrombie, Federico Nanni, Riza Batista-Navarro, Simone Paolo Ponzetto:
Policy Preference Detection in Parliamentary Debate Motions. 249-259 - Xuewen Shi, Heyan Huang, Wenguan Wang, Ping Jian, Yi-Kun Tang:
Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning. 260-270 - Genta Indra Winata, Andrea Madotto, Chien-Sheng Wu, Pascale Fung:
Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences. 271-280 - Xiangpeng Wei, Yue Hu, Luxi Xing, Li Gao:
Unsupervised Neural Machine Translation with Future Rewarding. 281-290 - Leshem Choshen, Omri Abend:
Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation. 291-303 - Phoebe Mulcaire, Jungo Kasai, Noah A. Smith:
Low-Resource Parsing with Crosslingual Contextualized Representations. 304-315 - Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu:
Improving Pre-Trained Multilingual Model with Vocabulary Expansion. 316-327 - Masato Neishi, Naoki Yoshinaga:
On the Relation between Position Information and Sentence Length in Neural Machine Translation. 328-338 - William N. Havard, Jean-Pierre Chevrot, Laurent Besacier:
Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech. 339-348 - Abhilasha Ravichander, Aakanksha Naik, Carolyn P. Rosé, Eduard H. Hovy:
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference. 349-361 - Kevin Stowe, Sarah R. Moeller, Laura A. Michaelis, Martha Palmer:
Linguistic Analysis Improves Neural Metaphor Detection. 362-371 - Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Kai-Wei Chang, Nanyun Peng:
Cross-Lingual Dependency Parsing with Unlabeled Auxiliary Languages. 372-382 - Ruizhe Li, Chenghua Lin, Matthew Collinson, Xiao Li, Guanyi Chen:
A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification. 383-392 - Justin Dieter, Tian Wang, Arun Tejasvi Chaganty, Gabor Angeli, Angel X. Chang:
Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue. 393-403 - Yanjun Gao, Chen Sun, Rebecca J. Passonneau:
Automated Pyramid Summarization Evaluation. 404-418 - Jack Hessel, Bo Pang, Zhenhai Zhu, Radu Soricut:
A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions. 419-429 - Subhro Roy, Michael Noseworthy, Rohan Paul, Daehyung Park, Nicholas Roy:
Leveraging Past References for Robust Language Grounding. 430-440 - Mustafa Sercan Amac, Semih Yagcioglu, Aykut Erdem, Erkut Erdem:
Procedural Reasoning Networks for Understanding Multimodal Procedures. 441-451 - Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, Jonathan Berant:
On the Limits of Learning to Actively Learn Semantic Representations. 452-462 - Hila Gonen, Yova Kementchedjhieva, Yoav Goldberg:
How Does Grammatical Gender Affect Noun Representations in Gender-Marking Languages? 463-471 - Raphael Schumann, Ines Rehbein:
Active Learning via Membership Query Synthesis for Semi-Supervised Sentence Classification. 472-481 - Daniel Deutsch, Shyam Upadhyay, Dan Roth:
A General-Purpose Algorithm for Constrained Sequential Inference. 482-492 - Andreas Hanselowski, Christian Stab, Claudia Schulz, Zile Li, Iryna Gurevych:
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking. 493-503 - Siyi Liu, Lei Guo, Kate K. Mays, Margrit Betke, Derry Tanti Wijaya:
Detecting Frames in News Headlines and Its Application to Analyzing News Framing Trends Surrounding U.S. Gun Violence. 504-514 - Xiao Huang, Li Dong, Elizabeth Boschee, Nanyun Peng:
Learning a Unified Named Entity Tagger from Multiple Partially Annotated Corpora for Efficient Adaptation. 515-527 - Daniel Gillick, Sayali Kulkarni, Larry Lansing, Alessandro Presta, Jason Baldridge, Eugene Ie, Diego Garcia-Olano:
Learning Dense Representations for Entity Retrieval. 528-537 - Nora Hollenstein, Antonio de la Torre, Nicolas Langer, Ce Zhang:
CogniVal: A Framework for Cognitive Word Embedding Evaluation. 538-549 - Haoruo Peng, Qiang Ning, Dan Roth:
KnowSemLM: A Knowledge Infused Semantic Language Model. 550-562 - Ikuya Yamada, Hiroyuki Shindo:
Neural Attentive Bag-of-Entities Model for Text Classification. 563-573 - Pallavi Patil, Kriti Myer, Ronak Zala, Arpit Singh, Sheshera Mysore, Andrew McCallum, Adrian Benton, Amanda Stent:
Roll Call Vote Prediction with Knowledge Augmented Models. 574-581 - Pedro Mota, Maxine Eskénazi, Luísa Coheur:
BeamSeg: A Joint Model for Multi-Document Segmentation and Topic Identification. 582-592 - Jiayu Chen, Caixia Yuan, Xiaojie Wang, Ziwei Bai:
MrMep: Joint Extraction of Multiple Relations and Multiple Entity Pairs Based on Triplet Attention. 593-602 - Tapas Nayak, Hwee Tou Ng:
Effective Attention Modeling for Neural Relation Extraction. 603-612 - Yuze Ji, Youfang Lin, Jianwei Gao, Huaiyu Wan:
Exploiting the Entity Type Sequence to Benefit Event Detection. 613-623 - Tomasz Stanislawek, Anna Wróblewska, Alicja Wójcicka, Daniel Ziembicki, Przemyslaw Biecek:
Named Entity Recognition - Is There a Glass Ceiling? 624-633 - Jarkko Lagus, Janne Sinkkonen, Arto Klami:
Low-Rank Approximations of Second-Order Document Representations. 634-644 - Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth:
Named Entity Recognition with Partially Annotated Training Data. 645-655 - Meryem M'hamdi, Marjorie Freedman, Jonathan May:
Contextualized Cross-Lingual Event Trigger Extraction with Minimal Resources. 656-665 - Rujun Han, I-Hung Hsu, Mu Yang, Aram Galstyan, Ralph M. Weischedel, Nanyun Peng:
Deep Structured Neural Network for Event Temporal Relation Extraction. 666-106 - Samuel Broscheit:
Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking. 677-685 - Hsin-Ping Huang, Junyi Jessy Li:
Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification. 686-695 - Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, David A. McAllester, Dan Roth:
Evidence Sentence Extraction for Machine Reading Comprehension. 696-707 - Ashraf Mahgoub, Youssef Shahin, Riham Mansour, Saurabh Bagchi:
SimVecs: Similarity-Based Vectors for Utterance Representation in Conversational AI Systems. 708-717 - Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao:
Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots. 718-727 - Seungwhan Moon, Pararth Shah, Anuj Kumar, Rajen Subba:
Memory Graph Networks for Explainable Memory-grounded Question Answering. 728-736 - Wentao Ma, Yiming Cui, Nan Shao, Su He, Weinan Zhang, Ting Liu, Shijin Wang, Guoping Hu:
TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. 737-746 - Kevin Huang, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou:
Relation Module for Non-Answerable Predictions on Reading Comprehension. 747-756 - Kunho Kim, Rahul Jha, Kyle Williams, Alex Marin, Imed Zitouni:
Slot Tagging for Task Oriented Spoken Language Understanding in Human-to-Human Conversation Scenarios. 757-767 - René Knaebel, Manfred Stede, Sebastian Stober:
Window-Based Neural Tagging for Shallow Discourse Argument Labeling. 768-777 - Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni, Chengxiang Zhai:
TILM: Neural Language Models with Evolving Topical Influence. 778-788 - Haoyu Zhang, Jingjing Cai, Jianjun Xu, Ji Wang:
Pretraining-Based Natural Language Generation for Text Summarization. 789-797 - Yi-An Lai, Arshit Gupta, Yi Zhang:
Goal-Embedded Dual Hierarchical Model for Task-Oriented Dialogue Generation. 798-811 - Vishwajeet Kumar, Ganesh Ramakrishnan, Yuan-Fang Li:
Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text. 812-821 - Lei Li, Wei Liu, Marina Litvak, Natalia Vanetik, Zuying Huang:
In Conclusion Not Repetition: Comprehensive Abstractive Summarization with Diversified Attention Based on Determinantal Point Processes. 822-832 - Kushal Chawla, Balaji Vasan Srinivasan, Niyati Chhaya:
Generating Formality-Tuned Summaries Using Input-Dependent Rewards. 833-842 - Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, Christopher D. Manning:
Do Massively Pretrained Language Models Make Better Storytellers? 843-861 - Fenglin Liu, Meng Gao, Yuanxin Liu, Kai Lei:
Self-Adaptive Scaling for Learnable Residual Structure. 862-870 - Sajawel Ahmed, Manuel Stoeckel, Christine Driller, Adrian Pachzelt, Alexander Mehler:
BIOfid Dataset: Publishing a German Gold Standard for Named Entity Recognition in Historical Biodiversity Literature. 871-880 - Zhengqi Pei, Zhewei Sun, Yang Xu:
Slang Detection and Identification. 881-889 - Noémien Kocher, Christian Scuito, Lorenzo Tarantino, Alexandros Lazaridis, Andreas Fischer, Claudiu Musat:
Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes. 890-899 - Tetiana Parshakova, Jean-Marc Andreoli, Marc Dymetman:
Global Autoregressive Models for Data-Efficient Sequence Learning. 900-909 - Aïssatou Diallo, Markus Zopf, Johannes Fürnkranz:
Learning Analogy-Preserving Sentence Embeddings for Answer Selection. 910-919 - Yukun Feng, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura:
A Simple and Effective Method for Injecting Word-Level Information into Character-Aware Neural Language Models. 920-928 - Pranava Madhyastha, Rishabh Jain:
On Model Stability as a Function of Random Seed. 929-939 - Steve Durairaj Swamy, Anupam Jamatia, Björn Gambäck:
Studying Generalisability across Abusive Language Detection Datasets. 940-950 - Michael Tschuggnall, Benjamin Murauer, Günther Specht:
Reduce & Attribute: Two-Step Authorship Attribution for Large-Scale Problems. 951-960 - Xingyi Cheng, Weidi Xu, Taifeng Wang, Wei Chu, Weipeng Huang, Kunlong Chen, Junfeng Hu:
Variational Semi-Supervised Aspect-Term Sentiment Analysis via Transformer. 961-969 - Mengting Hu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su:
Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis. 970-979 - Jan Kocon, Piotr Milkowski, Monika Zasko-Zielinska:
Multi-Level Sentiment Analysis of PolEmo 2.0: Extended Corpus of Multi-Domain Consumer Reviews. 980-991 - Siwen Guo, Sviatlana Höhn, Christoph Schommer:
A Personalized Sentiment Model with Textual and Contextual Information. 992-1001 - Haidong Zhang, Wancheng Ni, Meijing Zhao, Ziqi Lin:
Cluster-Gated Convolutional Neural Network for Short Text Classification. 1002-1011 - Tushaar Gangavarapu, Gokul S. Krishnan, Sowmya Kamath S.:
Coherence-based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification. 1012-1022 - Atanas Atanasov, Gianmarco De Francisci Morales, Preslav Nakov:
Predicting the Role of Political Trolls in Social Media. 1023-1034 - Yanlin Feng, Xiaojun Wan:
Towards a Unified End-to-End Approach for Fully Unsupervised Cross-Lingual Sentiment Analysis. 1035-1044
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