ACL 2020

1,239 papers

Start-Before-End and End-to-End: Neural Speech Translation by AppTek and RWTH Aachen University

Parnia Bahar, Patrick Wilken, Tamer Alkhouli, Andreas Guta, Pavel Golik

ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020

Maha Elbayad, Ha Nguyen, Fethi Bougares, Natalia Tomashenko, Antoine Caubrière

FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN

Ebrahim Ansari, Amittai Axelrod, Nguyen Bach, Ondřej Bojar, Roldano Cattoni

RobertNLP at the IWPT 2020 Shared Task: Surprisingly Simple Enhanced UD Parsing for English

Stefan Grünewald, Annemarie Friedrich

Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding

Daniel Hershcovich, Miryam de Lhoneux, Artur Kulmizev, Elham Pejhan, Joakim Nivre

The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task

James Barry, Joachim Wagner, Jennifer Foster

How Much of Enhanced UD Is Contained in UD?

Adam Ek, Jean-Philippe Bernardy

Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data

Xinyu Wang, Yong Jiang, Kewei Tu

Linear Neural Parsing and Hybrid Enhancement for Enhanced Universal Dependencies

Giuseppe Attardi, Daniele Sartiano, Maria Simi

Efficient EUD Parsing

Mathieu Dehouck, Mark Anderson, Carlos Gómez-Rodríguez

Adaptation of Multilingual Transformer Encoder for Robust Enhanced Universal Dependency Parsing

Han He, Jinho D. Choi

Hybrid Enhanced Universal Dependencies Parsing

Johannes Heinecke

Turku Enhanced Parser Pipeline: From Raw Text to Enhanced Graphs in the IWPT 2020 Shared Task

Jenna Kanerva, Filip Ginter, Sampo Pyysalo

Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies

Gosse Bouma, Djamé Seddah, Daniel Zeman

The Importance of Category Labels in Grammar Induction with Child-directed Utterances

Lifeng Jin, William Schuler

Statistical Deep Parsing for Spanish Using Neural Networks

Luis Chiruzzo, Dina Wonsever

Analysis of the Penn Korean Universal Dependency Treebank (PKT-UD): Manual Revision to Build Robust Parsing Model in Korean

Tae Hwan Oh, Ji Yoon Han, Hyonsu Choe, Seokwon Park, Han He

Span-Based LCFRS-2 Parsing

Miloš Stanojević, Mark Steedman

Self-Training for Unsupervised Parsing with PRPN

Anhad Mohananey, Katharina Kann, Samuel R. Bowman

Lexicalization of Probabilistic Linear Context-free Rewriting Systems

Richard Mörbitz, Thomas Ruprecht

Advances in Using Grammars with Latent Annotations for Discontinuous Parsing

Kilian Gebhardt

Tensors over Semirings for Latent-Variable Weighted Logic Programs

Esma Balkir, Daniel Gildea, Shay B. Cohen

Obfuscation for Privacy-preserving Syntactic Parsing

Zhifeng Hu, Serhii Havrylov, Ivan Titov, Shay B. Cohen

Memory-bounded Neural Incremental Parsing for Psycholinguistic Prediction

Lifeng Jin, William Schuler

Semi-supervised Parsing with a Variational Autoencoding Parser

Xiao Zhang, Dan Goldwasser

Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era

Agnieszka Faleńska, Anders Björkelund, Jonas Kuhn

End-to-End Negation Resolution as Graph Parsing

Robin Kurtz, Stephan Oepen, Marco Kuhlmann

Distilling Neural Networks for Greener and Faster Dependency Parsing

Mark Anderson, Carlos Gómez-Rodríguez

Syntactic Parsing in Humans and Machines

Paola Merlo

Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media

Xiangjue Dong, Changmao Li, Jinho D. Choi

A Transformer Approach to Contextual Sarcasm Detection in Twitter

Hunter Gregory, Steven Li, Pouya Mohammadi, Natalie Tarn, Rachel Draelos

Sarcasm Detection Using an Ensemble Approach

Jens Lemmens, Ben Burtenshaw, Ehsan Lotfi, Ilia Markov, Walter Daelemans

Testing the role of metadata in metaphor identification

Egon Stemle, Alexander Onysko

Metaphor Detection Using Contextual Word Embeddings From Transformers

Jerry Liu, Nathan O’Hara, Alexander Rubin, Rachel Draelos, Cynthia Rudin

Metaphor Detection using Ensembles of Bidirectional Recurrent Neural Networks

Jennifer Brooks, Abdou Youssef

Go Figure! Multi-task transformer-based architecture for metaphor detection using idioms: ETS team in 2020 metaphor shared task

Xianyang Chen, Chee Wee (Ben) Leong, Michael Flor, Beata Beigman Klebanov

Being neighbourly: Neural metaphor identification in discourse

Verna Dankers, Karan Malhotra, Gaurav Kudva, Volodymyr Medentsiy, Ekaterina Shutova

Metaphor Detection using Context and Concreteness

Rowan Hall Maudslay, Tiago Pimentel, Ryan Cotterell, Simone Teufel

Supervised Disambiguation of German Verbal Idioms with a BiLSTM Architecture

Rafael Ehren, Timm Lichte, Laura Kallmeyer, Jakub Waszczuk

Augmenting Neural Metaphor Detection with Concreteness

Ghadi Alnafesah, Harish Tayyar Madabushi, Mark Lee

Neural Metaphor Detection with a Residual biLSTM-CRF Model

Andrés Torres Rivera, Antoni Oliver, Salvador Climent, Marta Coll-Florit

Evaluating a Bi-LSTM Model for Metaphor Detection in TOEFL Essays

Kevin Kuo, Marine Carpuat

Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style Transfer

Orion Weller, Nancy Fulda, Kevin Seppi

Oxymorons: a preliminary corpus investigation

Marta La Pietra, Francesca Masini

Generating Ethnographic Models from Communities’ Online Data

Tomek Strzalkowski, Anna Newheiser, Nathan Kemper, Ning Sa, Bharvee Acharya

Adaptation of Word-Level Benchmark Datasets for Relation-Level Metaphor Identification

Omnia Zayed, John P. McCrae, Paul Buitelaar

IlliniMet: Illinois System for Metaphor Detection with Contextual and Linguistic Information

Hongyu Gong, Kshitij Gupta, Akriti Jain, Suma Bhat

Recognizing Euphemisms and Dysphemisms Using Sentiment Analysis

Christian Felt, Ellen Riloff

Sky + Fire = Sunset. Exploring Parallels between Visually Grounded Metaphors and Image Classifiers

Yuri Bizzoni, Simon Dobnik

Character aware models with similarity learning for metaphor detection

Tarun Kumar, Yashvardhan Sharma

ALBERT-BiLSTM for Sequential Metaphor Detection

Shuqun Li, Jingjie Zeng, Jinhui Zhang, Tao Peng, Liang Yang

Using Conceptual Norms for Metaphor Detection

Mingyu Wan, Kathleen Ahrens, Emmanuele Chersoni, Menghan Jiang, Qi Su

Detecting Sarcasm in Conversation Context Using Transformer-Based Models

Adithya Avvaru, Sanath Vobilisetty, Radhika Mamidi

A Novel Hierarchical BERT Architecture for Sarcasm Detection

Himani Srivastava, Vaibhav Varshney, Surabhi Kumari, Saurabh Srivastava

Transformers on Sarcasm Detection with Context

Amardeep Kumar, Vivek Anand

Context-Aware Sarcasm Detection Using BERT

Arup Baruah, Kaushik Das, Ferdous Barbhuiya, Kuntal Dey

Neural Sarcasm Detection using Conversation Context

Nikhil Jaiswal

Sarcasm Identification and Detection in Conversion Context using BERT

Kalaivani A., Thenmozhi D.

Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm Detection

Taha Shangipour ataei, Soroush Javdan, Behrouz Minaei-Bidgoli

C-Net: Contextual Network for Sarcasm Detection

Amit Kumar Jena, Aman Sinha, Rohit Agarwal

Sarcasm Detection in Tweets with BERT and GloVe Embeddings

Akshay Khatri, Pranav P

Sarcasm Detection using Context Separators in Online Discourse

Tanvi Dadu, Kartikey Pant

Context-Driven Satirical News Generation

Zachary Horvitz, Nam Do, Michael L. Littman

DeepMet: A Reading Comprehension Paradigm for Token-level Metaphor Detection

Chuandong Su, Fumiyo Fukumoto, Xiaoxi Huang, Jiyi Li, Rongbo Wang

A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task

Chee Wee (Ben) Leong, Beata Beigman Klebanov, Chris Hamill, Egon Stemle, Rutuja Ubale

Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context

Hankyol Lee, Youngjae Yu, Gunhee Kim

A Report on the 2020 Sarcasm Detection Shared Task

Debanjan Ghosh, Avijit Vajpayee, Smaranda Muresan

Distilling the Evidence to Augment Fact Verification Models

Beatrice Portelli, Jason Zhao, Tal Schuster, Giuseppe Serra, Enrico Santus

Maintaining Quality in FEVER Annotation

Leon Derczynski, Julie Binau, Henri Schulte

Language Models as Fact Checkers?

Nayeon Lee, Belinda Z. Li, Sinong Wang, Wen-tau Yih, Hao Ma

Developing a How-to Tip Machine Comprehension Dataset and its Evaluation in Machine Comprehension by BERT

Tengyang Chen, Hongyu Li, Miho Kasamatsu, Takehito Utsuro, Yasuhide Kawada

A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction

Yang Zhou, Tong Zhao, Meng Jiang

Stance Prediction and Claim Verification: An Arabic Perspective

Jude Khouja

Simple Compounded-Label Training for Fact Extraction and Verification

Yixin Nie, Lisa Bauer, Mohit Bansal

On Application of Bayesian Parametric and Non-parametric Methods for User Cohorting in Product Search

Shashank Gupta

e-Commerce and Sentiment Analysis: Predicting Outcomes of Class Action Lawsuits

Stacey Taylor, Vlado Keselj

Aishwarya Ashok, Ganapathy Natarajan, Ramez Elmasri, Laurel Smith-Stvan

Deep Hierarchical Classification for Category Prediction in E-commerce System

Dehong Gao

Semi-supervised Category-specific Review Tagging on Indonesian E-Commerce Product Reviews

Meng Sun, Marie Stephen Leo, Eram Munawwar, Paul C. Condylis, Sheng-yi Kong

Item-based Collaborative Filtering with BERT

Tian Wang, Yuyangzi Fu

Semi-Supervised Iterative Approach for Domain-Specific Complaint Detection in Social Media

Akash Gautam, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah

Improving Intent Classification in an E-commerce Voice Assistant by Using Inter-Utterance Context

Arpit Sharma

Using Large Pretrained Language Models for Answering User Queries from Product Specifications

Kalyani Roy, Smit Shah, Nithish Pai, Jaidam Ramtej, Prajit Nadkarni

A Deep Learning System for Sentiment Analysis of Service Calls

Yanan Jia

Deep Learning-based Online Alternative Product Recommendations at Scale

Mingming Guo, Nian Yan, Xiquan Cui, San He Wu, Unaiza Ahsan

How to Grow a (Product) Tree: Personalized Category Suggestions for eCommerce Type-Ahead

Jacopo Tagliabue, Bingqing Yu, Marie Beaulieu

Bootstrapping Named Entity Recognition in E-Commerce with Positive Unlabeled Learning

Hanchu Zhang, Leonhard Hennig, Christoph Alt, Changjian Hu, Yao Meng

Exploring Weaknesses of VQA Models through Attribution Driven Insights

Shaunak Halbe

AI Sensing for Robotics using Deep Learning based Visual and Language Modeling

Yuvaram Singh, Kameshwar Rao JV

Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents

Eda Okur, Shachi H Kumar, Saurav Sahay, Lama Nachman

Leveraging Multimodal Behavioral Analytics for Automated Job Interview Performance Assessment and Feedback

Anumeha Agrawal, Rosa Anil George, Selvan Sunitha Ravi, Sowmya Kamath S, Anand Kumar

Unsupervised Online Grounding of Natural Language during Human-Robot Interactions

Oliver Roesler

Low Rank Fusion based Transformers for Multimodal Sequences

Saurav Sahay, Eda Okur, Shachi H Kumar, Lama Nachman

Multilogue-Net: A Context-Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in Conversation

Aman Shenoy, Ashish Sardana

A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews

Edison Marrese-Taylor, Cristian Rodriguez, Jorge Balazs, Stephen Gould, Yutaka Matsuo

A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis

Jean-Benoit Delbrouck, Noé Tits, Mathilde Brousmiche, Stéphane Dupont

An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining

Yifan Peng, Qingyu Chen, Zhiyong Lu

Global Locality in Biomedical Relation and Event Extraction

Elaheh ShafieiBavani, Antonio Jimeno Yepes, Xu Zhong, David Martinez Iraola

A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction

Saadullah Amin, Katherine Ann Dunfield, Anna Vechkaeva, Guenter Neumann

Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience

Isar Nejadgholi, Kathleen C. Fraser, Berry de Bruijn