ACL 2018

673 papers

Low-rank passthrough neural networks

Antonio Valerio Miceli Barone

Semi-Supervised Learning with Auxiliary Evaluation Component for Large Scale e-Commerce Text Classification

Mingkuan Liu, Musen Wen, Selcuk Kopru, Xianjing Liu, Alan Lu

Investigating Effective Parameters for Fine-tuning of Word Embeddings Using Only a Small Corpus

Kanako Komiya, Hiroyuki Shinnou

Domain Adapted Word Embeddings for Improved Sentiment Classification

Prathusha Kameswara Sarma, Yingyu Liang, Bill Sethares

Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus

Fariz Ikhwantri, Samuel Louvan, Kemal Kurniawan, Bagas Abisena, Valdi Rachman

Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data

Koel Dutta Chowdhury, Mohammed Hasanuzzaman, Qun Liu

Compositional Language Modeling for Icon-Based Augmentative and Alternative Communication

Shiran Dudy, Steven Bedrick

Multi-task learning for historical text normalization: Size matters

Marcel Bollmann, Anders Søgaard, Joachim Bingel

Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data

Michael A. Hedderich, Dietrich Klakow

Character-level Supervision for Low-resource POS Tagging

Katharina Kann, Johannes Bjerva, Isabelle Augenstein, Barbara Plank, Anders Søgaard

Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP

Reza Haffari, Colin Cherry, George Foster, Shahram Khadivi, Bahar Salehi

DNN Multimodal Fusion Techniques for Predicting Video Sentiment

Jennifer Williams, Ramona Comanescu, Oana Radu, Leimin Tian

Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis

Hai Pham, Thomas Manzini, Paul Pu Liang, Barnabás Póczos

ASR-based Features for Emotion Recognition: A Transfer Learning Approach

Noé Tits, Kevin El Haddad, Thierry Dutoit

Polarity and Intensity: the Two Aspects of Sentiment Analysis

Leimin Tian, Catherine Lai, Johanna Moore

Sentiment Analysis using Imperfect Views from Spoken Language and Acoustic Modalities

Imran Sheikh, Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu

Convolutional Attention Networks for Multimodal Emotion Recognition from Speech and Text Data

Woo Yong Choi, Kyu Ye Song, Chan Woo Lee

Multimodal Relational Tensor Network for Sentiment and Emotion Classification

Saurav Sahay, Shachi H Kumar, Rui Xia, Jonathan Huang, Lama Nachman

Recognizing Emotions in Video Using Multimodal DNN Feature Fusion

Jennifer Williams, Steven Kleinegesse, Ramona Comanescu, Oana Radu

Getting the subtext without the text: Scalable multimodal sentiment classification from visual and acoustic modalities

Nathaniel Blanchard, Daniel Moreira, Aparna Bharati, Walter Scheirer

Proceedings of Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML)

Amir Zadeh, Paul Pu Liang, Louis-Philippe Morency, Soujanya Poria, Erik Cambria

Code-Switched Named Entity Recognition with Embedding Attention

Changhan Wang, Kyunghyun Cho, Douwe Kiela

IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data

Shashwat Trivedi, Harsh Rangwani, Anil Kumar Singh

Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task

Gustavo Aguilar, Fahad AlGhamdi, Victor Soto, Mona Diab, Julia Hirschberg

Multilingual Named Entity Recognition on Spanish-English Code-switched Tweets using Support Vector Machines

Daniel Claeser, Samantha Kent, Dennis Felske

Tackling Code-Switched NER: Participation of CMU

Parvathy Geetha, Khyathi Chandu, Alan W Black

The University of Texas System Submission for the Code-Switching Workshop Shared Task 2018

Florian Janke, Tongrui Li, Eric Rincón, Gualberto Guzmán, Barbara Bullock

Named Entity Recognition on Code-Switched Data Using Conditional Random Fields

Utpal Kumar Sikdar, Biswanath Barik, Björn Gambäck

Bilingual Character Representation for Efficiently Addressing Out-of-Vocabulary Words in Code-Switching Named Entity Recognition

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

Simple Features for Strong Performance on Named Entity Recognition in Code-Switched Twitter Data

Devanshu Jain, Maria Kustikova, Mayank Darbari, Rishabh Gupta, Stephen Mayhew

GHHT at CALCS 2018: Named Entity Recognition for Dialectal Arabic Using Neural Networks

Mohammed Attia, Younes Samih, Wolfgang Maier

Language Informed Modeling of Code-Switched Text

Khyathi Chandu, Thomas Manzini, Sumeet Singh, Alan W. Black

Accommodation of Conversational Code-Choice

Anshul Bawa, Monojit Choudhury, Kalika Bali

Automatic Detection of Code-switching Style from Acoustics

SaiKrishna Rallabandi, Sunayana Sitaram, Alan W Black

Predicting the presence of a Matrix Language in code-switching

Barbara Bullock, Wally Guzmán, Jacqueline Serigos, Vivek Sharath, Almeida Jacqueline Toribio

Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning

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

Language Identification and Analysis of Code-Switched Social Media Text

Deepthi Mave, Suraj Maharjan, Thamar Solorio

Transliteration Better than Translation? Answering Code-mixed Questions over a Knowledge Base

Vishal Gupta, Manoj Chinnakotla, Manish Shrivastava

Code-Mixed Question Answering Challenge: Crowd-sourcing Data and Techniques

Khyathi Chandu, Ekaterina Loginova, Vishal Gupta, Josef van Genabith, Günter Neumann

Improving Neural Network Performance by Injecting Background Knowledge: Detecting Code-switching and Borrowing in Algerian texts

Wafia Adouane, Jean-Philippe Bernardy, Simon Dobnik

Phone Merging For Code-Switched Speech Recognition

Sunit Sivasankaran, Brij Mohan Lal Srivastava, Sunayana Sitaram, Kalika Bali, Monojit Choudhury

Joint Part-of-Speech and Language ID Tagging for Code-Switched Data

Victor Soto, Julia Hirschberg

Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching

Gustavo Aguilar, Fahad AlGhamdi, Victor Soto, Thamar Solorio, Mona Diab

Unsupervised Word Influencer Networks from News Streams

Ananth Balashankar, Sunandan Chakraborty, Lakshminarayanan Subramanian

Implicit and Explicit Aspect Extraction in Financial Microblogs

Thomas Gaillat, Bernardo Stearns, Gopal Sridhar, Ross McDermott, Manel Zarrouk

Leveraging News Sentiment to Improve Microblog Sentiment Classification in the Financial Domain

Tobias Daudert, Paul Buitelaar, Sapna Negi

Sentence Classification for Investment Rules Detection

Youness Mansar, Sira Ferradans

A Simple End-to-End Question Answering Model for Product Information

Tuan Lai, Trung Bui, Sheng Li, Nedim Lipka

Word Embeddings-Based Uncertainty Detection in Financial Disclosures

Christoph Kilian Theil, Sanja Štajner, Heiner Stuckenschmidt

A Corpus of Corporate Annual and Social Responsibility Reports: 280 Million Tokens of Balanced Organizational Writing

Sebastian G.M. Händschke, Sven Buechel, Jan Goldenstein, Philipp Poschmann, Tinghui Duan

Causality Analysis of Twitter Sentiments and Stock Market Returns

Narges Tabari, Piyusha Biswas, Bhanu Praneeth, Armin Seyeditabari, Mirsad Hadzikadic

Economic Event Detection in Company-Specific News Text

Gilles Jacobs, Els Lefever, Véronique Hoste

Proceedings of the First Workshop on Economics and Natural Language Processing

Udo Hahn, Véronique Hoste, Ming-Feng Tsai

Syntactic Dependency Representations in Neural Relation Classification

Farhad Nooralahzadeh, Lilja Øvrelid

A neural parser as a direct classifier for head-final languages

Hiroshi Kanayama, Masayasu Muraoka, Ryosuke Kohita

Subcharacter Information in Japanese Embeddings: When Is It Worth It?

Marzena Karpinska, Bofang Li, Anna Rogers, Aleksandr Drozd

Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?

Emma Strubell, Andrew McCallum

Latent Tree Learning with Differentiable Parsers: Shift-Reduce Parsing and Chart Parsing

Jean Maillard, Stephen Clark

Unsupervised Source Hierarchies for Low-Resource Neural Machine Translation

Anna Currey, Kenneth Heafield

Compositional Morpheme Embeddings with Affixes as Functions and Stems as Arguments

Daniel Edmiston, Karl Stratos

Proceedings of the Workshop on the Relevance of Linguistic Structure in Neural Architectures for NLP

Georgiana Dinu, Miguel Ballesteros, Avirup Sil, Sam Bowman, Wael Hamza

Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task

An Yang, Kai Liu, Jing Liu, Yajuan Lyu, Sujian Li

Comparative Analysis of Neural QA models on SQuAD

Soumya Wadhwa, Khyathi Chandu, Eric Nyberg

Neural Models for Key Phrase Extraction and Question Generation

Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler

RECIPE: Applying Open Domain Question Answering to Privacy Policies

Yan Shvartzshanider, Ananth Balashankar, Thomas Wies, Lakshminarayanan Subramanian

A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset

Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das

Robust and Scalable Differentiable Neural Computer for Question Answering

Jörg Franke, Jan Niehues, Alex Waibel

DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications

Wei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao

Tackling Adversarial Examples in QA via Answer Sentence Selection

Yuanhang Ren, Ye Du, Di Wang

A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension

Seunghak Yu, Sathish Reddy Indurthi, Seohyun Back, Haejun Lee

Systematic Error Analysis of the Stanford Question Answering Dataset

Marc-Antoine Rondeau, T. J. Hazen

Ruminating Reader: Reasoning with Gated Multi-hop Attention

Yichen Gong, Samuel Bowman

Proceedings of the Workshop on Machine Reading for Question Answering

Eunsol Choi, Minjoon Seo, Danqi Chen, Robin Jia, Jonathan Berant