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COLING 2020

1,035 papers

Surface Realization Using Pretrained Language Models

Farhood Farahnak, Laya Rafiee, Leila Kosseim, Thomas Fevens

NILC at SR’20: Exploring Pre-Trained Models in Surface Realisation

Marco Antonio Sobrevilla Cabezudo, Thiago Pardo

Lexical Induction of Morphological and Orthographic Forms for Low-Resourced Languages

Taha Tobaili

IMSurReal Too: IMS in the Surface Realization Shared Task 2020

Xiang Yu, Simon Tannert, Ngoc Thang Vu, Jonas Kuhn

ADAPT at SR’20: How Preprocessing and Data Augmentation Help to Improve Surface Realization

Henry Elder

BME-TUW at SR’20: Lexical grammar induction for surface realization

Gabor Recski, Adam Kovacs, Kinga Gémes, Judit Ács, András Kornai

The Third Multilingual Surface Realisation Shared Task (SR’20): Overview and Evaluation Results

Simon Mille, Anya Belz, Bernd Bohnet, Thiago Castro Ferreira, Yvette Graham

Annotating Coherence Relations for Studying Topic Transitions in Social Talk

Alex Luu, Sophia A. Malamud

pyMMAX2: Deep Access to MMAX2 Projects from Python

Mark-Christoph Müller

Towards a Standardized, Fine-grained Manual Annotation Protocol for Verbal Fluency Data

Gabriel McKee, Joël Macoir, Lydia Gagnon, Pascale Tremblay

Annotating Errors and Emotions in Human-Chatbot Interactions in Italian

Manuela Sanguinetti, Alessandro Mazzei, Viviana Patti, Marco Scalerandi, Dario Mana

Querent Intent in Multi-Sentence Questions

Laurie Burchell, Jie Chi, Tom Hosking, Nina Markl, Bonnie Webber

Sprucing up Supersenses: Untangling the Semantic Clusters of Accompaniment and Purpose

Jena D. Hwang, Nathan Schneider, Vivek Srikumar

Supersense and Sensibility: Proxy Tasks for Semantic Annotation of Prepositions

Luke Gessler, Shira Wein, Nathan Schneider

PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English

Michael Kranzlein, Emma Manning, Siyao Peng, Shira Wein, Aryaman Arora

Modelling and Annotating Interlinear Glossed Text from 280 Different Endangered Languages as Linked Data with LIGT

Sebastian Nordhoff

Cookpad Parsed Corpus: Linguistic Annotations of Japanese Recipes

Jun Harashima, Makoto Hiramatsu

Understanding the Tradeoff between Cost and Quality of Expert Annotations for Keyphrase Extraction

Hung Chau, Saeid Balaneshin, Kai Liu, Ondrej Linda

Representation Problems in Linguistic Annotations: Ambiguity, Variation, Uncertainty, Error and Bias

Christin Beck, Hannah Booth, Mennatallah El-Assady, Miriam Butt

Modeling Ambiguity with Many Annotators and Self-Assessments of Annotator Certainty

Melanie Andresen, Michael Vauth, Heike Zinsmeister

A Novel Annotation Schema for Conversational Humor: Capturing the Cultural Nuances in Kanyasulkam

Vaishnavi Pamulapati, Gayatri Purigilla, Radhika Mamidi

A Sentiment-annotated Dataset of English Causal Connectives

Marta Andersson, Murathan Kurfalı, Robert Östling

Provenance for Linguistic Corpora through Nanopublications

Timo Lek, Anna de Groot, Tobias Kuhn, Roser Morante

Bayesian Methods for Semi-supervised Text Annotation

Kristian Miok, Gregor Pirs, Marko Robnik-Sikonja

TL-Explorer: A Digital Humanities Tool for Mapping and Analyzing Translated Literature

Alex Zhai, Zheng Zhang, Amel Fraisse, Ronald Jenn, Shelley Fisher Fishkin

Finding and Generating a Missing Part for Story Completion

Yusuke Mori, Hiroaki Yamane, Yusuke Mukuta, Tatsuya Harada

Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels

Ryan Brate, Paul Groth, Marieke van Erp

Interpretation of Sentiment Analysis in Aeschylus’s Greek Tragedy

Vijaya Kumari Yeruva, Mayanka ChandraShekar, Yugyung Lee, Jeff Rydberg-Cox, Virginia Blanton

Sonnet Combinatorics with OuPoCo

Thierry Poibeau, Mylène Maignant, Frédérique Mélanie-Becquet, Clément Plancq, Matthieu Raffard

Geometric Deep Learning Models for Linking Character Names in Novels

Marek Kubis

Results of a Single Blind Literary Taste Test with Short Anonymized Novel Fragments

Andreas van Cranenburgh, Corina Koolen

Twenty-two Historical Encyclopedias Encoded in TEI: a New Resource for the Digital Humanities

Thora Hagen, Erik Ketzan, Fotis Jannidis, Andreas Witt

Zero-shot cross-lingual identification of direct speech using distant supervision

Murathan Kurfalı, Mats Wirén

Life still goes on: Analysing Australian WW1 Diaries through Distant Reading

Ashley Dennis-Henderson, Matthew Roughan, Lewis Mitchell, Jonathan Tuke

ERRANT: Assessing and Improving Grammatical Error Type Classification

Katerina Korre, John Pavlopoulos

Measuring the Effects of Bias in Training Data for Literary Classification

Sunyam Bagga, Andrew Piper

Vital Records: Uncover the past from historical handwritten records

Hervé Déjean, Jean-Luc Meunier

“Shakespeare in the Vectorian Age” – An evaluation of different word embeddings and NLP parameters for the detection of Shakespeare quotes

Bernhard Liebl, Manuel Burghardt

A Two-Step Approach for Automatic OCR Post-Correction

Robin Schaefer, Clemens Neudecker

Neural Machine Translation of Artwork Titles Using Iconclass Codes

Nikolay Banar, Walter Daelemans, Mike Kestemont

A Survey on Approaches to Computational Humor Generation

Miriam Amin, Manuel Burghardt

Exhaustive Entity Recognition for Coptic: Challenges and Solutions

Amir Zeldes, Lance Martin, Sichang Tu

Automatic Topological Field Identification in (Historical) German Texts

Katrin Ortmann

History to Myths: Social Network Analysis for Comparison of Stories over Time

Clément Besnier

How Do Image Description Systems Describe People? A Targeted Assessment of System Competence in the PEOPLE-domain

Emiel van Miltenburg

Seeing the World through Text: Evaluating Image Descriptions for Commonsense Reasoning in Machine Reading Comprehension

Diana Galván-Sosa, Jun Suzuki, Kyosuke Nishida, Koji Matsuda, Kentaro Inui

Leveraging Visual Question Answering to Improve Text-to-Image Synthesis

Stanislav Frolov, Shailza Jolly, Jörn Hees, Andreas Dengel

Eyes on the Parse: Using Gaze Features in Syntactic Parsing

Abhishek Agrawal, Rudolf Rosa

Gender-Aware Reinflection using Linguistically Enhanced Neural Models

Bashar Alhafni, Nizar Habash, Houda Bouamor

Gender and sentiment, critics and authors: a dataset of Norwegian book reviews

Samia Touileb, Lilja Øvrelid, Erik Velldal

Situated Data, Situated Systems: A Methodology to Engage with Power Relations in Natural Language Processing Research

Lucy Havens, Melissa Terras, Benjamin Bach, Beatrice Alex

Investigating Societal Biases in a Poetry Composition System

Emily Sheng, David Uthus

Semi-Supervised Topic Modeling for Gender Bias Discovery in English and Swedish

Hannah Devinney, Jenny Björklund, Henrik Björklund

Conversational Assistants and Gender Stereotypes: Public Perceptions and Desiderata for Voice Personas

Amanda Cercas Curry, Judy Robertson, Verena Rieser

Evaluating Bias In Dutch Word Embeddings

Rodrigo Alejandro Chávez Mulsa, Gerasimos Spanakis

Can Existing Methods Debias Languages Other than English? First Attempt to Analyze and Mitigate Japanese Word Embeddings

Masashi Takeshita, Yuki Katsumata, Rafal Rzepka, Kenji Araki

Neural Machine Translation Doesn’t Translate Gender Coreference Right Unless You Make It

Danielle Saunders, Rosie Sallis, Bill Byrne

Fine-tuning Neural Machine Translation on Gender-Balanced Datasets

Marta R. Costa-jussà, Adrià de Jorge

Interdependencies of Gender and Race in Contextualized Word Embeddings

May Jiang, Christiane Fellbaum

Unmasking Contextual Stereotypes: Measuring and Mitigating BERT’s Gender Bias

Marion Bartl, Malvina Nissim, Albert Gatt

Extracting Fine-Grained Economic Events from Business News

Gilles Jacobs, Véronique Hoste

Predicting Modality in Financial Dialogue

Kilian Theil, Heiner Stuckenschmidt

Hierarchical summarization of financial reports with RUNNER

Marina Litvak, Natalia Vanetik, Zvi Puchinsky

Mitigating Silence in Compliance Terminology during Parsing of Utterances

Esme Manandise, Conrad de Peuter

Information Extraction from Federal Open Market Committee Statements

Oana Frunza

A Computational Analysis of Financial and Environmental Narratives within Financial Reports and its Value for Investors

Felix Armbrust, Henry Schäfer, Roman Klinger

Daniel@FinTOC’2 Shared Task: Title Detection and Structure Extraction

Emmanuel Giguet, Gaël Lejeune, Jean-Baptiste Tanguy

DNLP@FinTOC’20: Table of Contents Detection in Financial Documents

Dijana Kosmajac, Stacey Taylor, Mozhgan Saeidi

Taxy.io@FinTOC-2020: Multilingual Document Structure Extraction using Transfer Learning

Frederic Haase, Steffen Kirchhoff

UWB@FinTOC-2020 Shared Task: Financial Document Title Detection

Tomáš Hercig, Pavel Kral

AMEX-AI-LABS: Investigating Transfer Learning for Title Detection in Table of Contents Generation

Dhruv Premi, Amogh Badugu, Himanshu Sharad Bhatt

SUMSUM@FNS-2020 Shared Task

Siyan Zheng, Anneliese Lu, Claire Cardie

Extractive Summarization System for Annual Reports

Abderrahim Ait Azzi, Juyeon Kang

AMEX AI-Labs: An Investigative Study on Extractive Summarization of Financial Documents

Piyush Arora, Priya Radhakrishnan

Knowledge Graph and Deep Neural Network for Extractive Text Summarization by Utilizing Triples

Amit Vhatkar, Pushpak Bhattacharyya, Kavi Arya

SCE-SUMMARY at the FNS 2020 shared task

Marina Litvak, Natalia Vanetik, Zvi Puchinsky

End-to-end Training For Financial Report Summarization

Moreno La Quatra, Luca Cagliero

Combining financial word embeddings and knowledge-based features for financial text summarization UC3M-MC System at FNS-2020

Jaime Baldeon Suarez, Paloma Martínez, Jose Luis Martínez

PoinT-5: Pointer Network and T-5 based Financial Narrative Summarisation

Abhishek Singh

Extractive Financial Narrative Summarisation based on DPPs

Lei Li, Yafei Jiang, Yinan Liu

IITkgp at FinCausal 2020, Shared Task 1: Causality Detection using Sentence Embeddings in Financial Reports

Arka Mitra, Harshvardhan Srivastava, Yugam Tiwari

Domino at FinCausal 2020, Task 1 and 2: Causal Extraction System

Sharanya Chakravarthy, Tushar Kanakagiri, Karthik Radhakrishnan, Anjana Umapathy

ISIKUN at the FinCausal 2020: Linguistically informed Machine-learning Approach for Causality Identification in Financial Documents

Gökberk Özenir, Ilknur Karadeniz

ProsperAMnet at FinCausal 2020, Task 1 & 2: Modeling causality in financial texts using multi-headed transformers

Zsolt Szántó, Gábor Berend

FiNLP at FinCausal 2020 Task 1: Mixture of BERTs for Causal Sentence Identification in Financial Texts

Sarthak Gupta

NTUNLPL at FinCausal 2020, Task 2:Improving Causality Detection Using Viterbi Decoder

Pei-Wei Kao, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen

Fraunhofer IAIS at FinCausal 2020, Tasks 1 & 2: Using Ensemble Methods and Sequence Tagging to Detect Causality in Financial Documents

Maren Pielka, Rajkumar Ramamurthy, Anna Ladi, Eduardo Brito, Clayton Chapman

NITK NLP at FinCausal-2020 Task 1 Using BERT and Linear models.

Hariharan R L, Anand Kumar M

UPB at FinCausal-2020, Tasks 1 & 2: Causality Analysis in Financial Documents using Pretrained Language Models

Marius Ionescu, Andrei-Marius Avram, George-Andrei Dima, Dumitru-Clementin Cercel, Mihai Dascalu

JDD @ FinCausal 2020, Task 2: Financial Document Causality Detection

Toshiya Imoto, Tomoki Ito

LIORI at the FinCausal 2020 Shared task

Denis Gordeev, Adis Davletov, Alexey Rey, Nikolay Arefiev

GBe at FinCausal 2020, Task 2: Span-based Causality Extraction for Financial Documents

Guillaume Becquin

LangResearchLab_NC at FinCausal 2020, Task 1: A Knowledge Induced Neural Net for Causality Detection

Raksha Agarwal, Ishaan Verma, Niladri Chatterjee

The Financial Document Causality Detection Shared Task (FinCausal 2020)

Dominique Mariko, Hanna Abi-Akl, Estelle Labidurie, Stephane Durfort, Hugues De Mazancourt

The Financial Document Structure Extraction Shared task (FinToc 2020)

Najah-Imane Bentabet, Rémi Juge, Ismail El Maarouf, Virginie Mouilleron, Dialekti Valsamou-Stanislawski

The Financial Narrative Summarisation Shared Task (FNS 2020)

Mahmoud El-Haj, Ahmed AbuRa’ed, Marina Litvak, Nikiforos Pittaras, George Giannakopoulos

FINSIM20 at the FinSim Task: Making Sense of Text in Financial Domain

Vivek Anand, Yash Agrawal, Aarti Pol, Vasudeva Varma

ProsperAMnet at the FinSim Task: Detecting hypernyms of financial concepts via measuring the information stored in sparse word representations

Gábor Berend, Norbert Kis-Szabó, Zsolt Szántó

Anuj at the FinSim Task: Anuj@FINSIM¡VLearning Semantic Representation of Financial Domain with Investopedia

Anuj Saini

IITK at the FinSim Task: Hypernym Detection in Financial Domain via Context-Free and Contextualized Word Embeddings

Vishal Keswani, Sakshi Singh, Ashutosh Modi