ACL 2022

1,617 papers

Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric

Ian Berlot-Attwell, Frank Rudzicz

Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next

Katharina Kann, Abteen Ebrahimi, Joewie Koh, Shiran Dudy, Alessandro Roncone

Multimodal Conversational AI: A Survey of Datasets and Approaches

Anirudh Sundar, Larry Heck

MTL-SLT: Multi-Task Learning for Spoken Language Tasks

Zhiqi Huang, Milind Rao, Anirudh Raju, Zhe Zhang, Bach Bui

Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains

Anna Sauer, Shima Asaadi, Fabian Küch

KG-CRuSE: Recurrent Walks over Knowledge Graph for Explainable Conversation Reasoning using Semantic Embeddings

Rajdeep Sarkar, Mihael Arcan, John P. McCrae

Human Evaluation of Conversations is an Open Problem: comparing the sensitivity of various methods for evaluating dialogue agents

Eric Smith, Orion Hsu, Rebecca Qian, Stephen Roller, Y-lan Boureau

From Rewriting to Remembering: Common Ground for Conversational QA Models

Marco Del Tredici, Xiaoyu Shen, Gianni Barlacchi, Bill Byrne, Adrià de Gispert

Extracting and Inferring Personal Attributes from Dialogue

Zhilin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia

Data Augmentation for Intent Classification with Off-the-shelf Large Language Models

Gaurav Sahu, Pau Rodriguez, Issam Laradji, Parmida Atighehchian, David Vázquez

D-REX: Dialogue Relation Extraction with Explanations

Alon Albalak, Varun Embar, Yi-Lin Tuan, Lise Getoor, William Yang Wang

Conversational AI for Positive-sum Retailing under Falsehood Control

Yin-Hsiang Liao, Ruo-Ping Dong, Huan-Cheng Chang, Wilson Ma

Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection

Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Zhiwei Liu, Ye Liu

A Randomized Link Transformer for Diverse Open-Domain Dialogue Generation

Jing Yang Lee, Kong Aik Lee, Woon Seng Gan

Language-agnostic Semantic Consistent Text-to-Image Generation

SeongJun Jung, Woo Suk Choi, Seongho Choi, Byoung-tak Zhang

Overview of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion

Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini, Subalalitha Chinnaudayar Navaneethakrishnan, John Philip McCrae

Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments

Bharathi Raja Chakravarthi, Ruba Priyadharshini, Durairaj Thenmozhi, John Philip McCrae, Paul Buitelaar

IDIAP Submission@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text

Muskaan Singh, Petr Motlicek

IDIAP Submission@LT-EDI-ACL2022: Homophobia/Transphobia Detection in social media comments

Muskaan Singh, Petr Motlicek

IDIAP Submission@LT-EDI-ACL2022 : Hope Speech Detection for Equality, Diversity and Inclusion

Muskaan Singh, Petr Motlicek

DLRG@LT-EDI-ACL2022:Detecting signs of Depression from Social Media using XGBoost Method

Herbert Sharen, Ratnavel Rajalakshmi

Findings of the Shared Task on Speech Recognition for Vulnerable Individuals in Tamil

Bharathi B, Bharathi Raja Chakravarthi, Subalalitha Cn, Sripriya N, Arunaggiri Pandian

Findings of the Shared Task on Detecting Signs of Depression from Social Media

Kayalvizhi S, Thenmozhi Durairaj, Bharathi Raja Chakravarthi, Jerin Mahibha C

SSN@LT-EDI-ACL2022: Transfer Learning using BERT for Detecting Signs of Depression from Social Media Texts

Adarsh S, Betina Antony

IDIAP_TIET@LT-EDI-ACL2022 : Hope Speech Detection in Social Media using Contextualized BERT with Attention Mechanism

Deepanshu Khanna, Muskaan Singh, Petr Motlicek

SSNCSE_NLP@LT-EDI-ACL2022: Speech Recognition for Vulnerable Individuals in Tamil using pre-trained XLSR models

Dhanya Srinivasan, Bharathi B, Thenmozhi Durairaj, Senthil Kumar B

MUCS@Text-LT-EDI@ACL 2022: Detecting Sign of Depression from Social Media Text using Supervised Learning Approach

Asha Hegde, Sharal Coelho, Ahmad Elyas Dashti, Hosahalli Shashirekha

LeaningTower@LT-EDI-ACL2022: When Hope and Hate Collide

Arianna Muti, Marta Marchiori Manerba, Katerina Korre, Alberto Barrón-Cedeño

DepressionOne@LT-EDI-ACL2022: Using Machine Learning with SMOTE and Random UnderSampling to Detect Signs of Depression on Social Media Text.

Suman Dowlagar, Radhika Mamidi

SSN_MLRG1@LT-EDI-ACL2022: Multi-Class Classification using BERT models for Detecting Depression Signs from Social Media Text

Karun Anantharaman, Angel S, Rajalakshmi Sivanaiah, Saritha Madhavan, Sakaya Milton Rajendram

giniUs @LT-EDI-ACL2022: Aasha: Transformers based Hope-EDI

Basavraj Chinagundi, Harshul Surana

NAYEL @LT-EDI-ACL2022: Homophobia/Transphobia Detection for Equality, Diversity, and Inclusion using SVM

Nsrin Ashraf, Mohamed Taha, Ahmed Taha, Hamada Nayel

FilipN@LT-EDI-ACL2022-Detecting signs of Depression from Social Media: Examining the use of summarization methods as data augmentation for text classification

Filip Nilsson, György Kovács

OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models

Rafał Poświata, Michał Perełkiewicz

Sammaan@LT-EDI-ACL2022: Ensembled Transformers Against Homophobia and Transphobia

Ishan Sanjeev Upadhyay, Kv Aditya Srivatsa, Radhika Mamidi

KADO@LT-EDI-ACL2022: BERT-based Ensembles for Detecting Signs of Depression from Social Media Text

Morteza Janatdoust, Fatemeh Ehsani-Besheli, Hossein Zeinali

Nozza@LT-EDI-ACL2022: Ensemble Modeling for Homophobia and Transphobia Detection

Debora Nozza

E8-IJS@LT-EDI-ACL2022 - BERT, AutoML and Knowledge-graph backed Detection of Depression

Ilija Tavchioski, Boshko Koloski, Blaž Škrlj, Senja Pollak

KUCST@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text

Manex Agirrezabal, Janek Amann

SSNCSE_NLP@LT-EDI-ACL2022: Homophobia/Transphobia Detection in Multiple Languages using SVM Classifiers and BERT-based Transformers

Krithika Swaminathan, Bharathi B, Gayathri G L, Hrishik Sampath

IISERB@LT-EDI-ACL2022: A Bag of Words and Document Embeddings Based Framework to Identify Severity of Depression Over Social Media

Tanmay Basu

IIT Dhanbad @LT-EDI-ACL2022- Hope Speech Detection for Equality, Diversity, and Inclusion

Vishesh Gupta, Ritesh Kumar, Rajendra Pamula

SOA_NLP@LT-EDI-ACL2022: An Ensemble Model for Hope Speech Detection from YouTube Comments

Abhinav Kumar, Sunil Saumya, Pradeep Roy

SSNCSE_NLP@LT-EDI-ACL2022:Hope Speech Detection for Equality, Diversity and Inclusion using sentence transformers

Bharathi B, Dhanya Srinivasan, Josephine Varsha, Thenmozhi Durairaj, Senthil Kumar B

scubeMSEC@LT-EDI-ACL2022: Detection of Depression using Transformer Models

Sivamanikandan S, Santhosh V, Sanjaykumar N, Jerin Mahibha C, Thenmozhi Durairaj

CIC@LT-EDI-ACL2022: Are transformers the only hope? Hope speech detection for Spanish and English comments

Fazlourrahman Balouchzahi, Sabur Butt, Grigori Sidorov, Alexander Gelbukh

BERT 4EVER@LT-EDI-ACL2022-Detecting signs of Depression from Social Media:Detecting Depression in Social Media using Prompt-Learning and Word-Emotion Cluster

Xiaotian Lin, Yingwen Fu, Ziyu Yang, Nankai Lin, Shengyi Jiang

SSN_MLRG3 @LT-EDI-ACL2022-Depression Detection System from Social Media Text using Transformer Models

Sarika Esackimuthu, Shruthi Hariprasad, Rajalakshmi Sivanaiah, Angel S, Sakaya Milton Rajendram

CURAJ_IIITDWD@LT-EDI-ACL 2022: Hope Speech Detection in English YouTube Comments using Deep Learning Techniques

Vanshita Jha, Ankit Mishra, Sunil Saumya

LPS@LT-EDI-ACL2022:An Ensemble Approach about Hope Speech Detection

Yue Zhu

SUH_ASR@LT-EDI-ACL2022: Transformer based Approach for Speech Recognition for Vulnerable Individuals in Tamil

Suhasini S, Bharathi B

SSN_ARMM@ LT-EDI -ACL2022: Hope Speech Detection for Equality, Diversity, and Inclusion Using ALBERT model

Praveenkumar Vijayakumar, Prathyush S, Aravind P, Angel S, Rajalakshmi Sivanaiah

DeepBlues@LT-EDI-ACL2022: Depression level detection modelling through domain specific BERT and short text Depression classifiers

Nawshad Farruque, Osmar Zaïane, Randy Goebel, Sudhakar Sivapalan

MUCIC@LT-EDI-ACL2022: Hope Speech Detection using Data Re-Sampling and 1D Conv-LSTM

Anusha Gowda, Fazlourrahman Balouchzahi, Hosahalli Shashirekha, Grigori Sidorov

ABLIMET @LT-EDI-ACL2022: A Roberta based Approach for Homophobia/Transphobia Detection in Social Media

Abulimiti Maimaitituoheti

bitsa_nlp@LT-EDI-ACL2022: Leveraging Pretrained Language Models for Detecting Homophobia and Transphobia in Social Media Comments

Vitthal Bhandari, Poonam Goyal

UMUTeam@LT-EDI-ACL2022: Detecting Signs of Depression from text

José García-Díaz, Rafael Valencia-García

UMUTeam@LT-EDI-ACL2022: Detecting homophobic and transphobic comments in Tamil

José García-Díaz, Camilo Caparros-Laiz, Rafael Valencia-García

NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media

Wei-Yao Wang, Yu-Chien Tang, Wei-Wei Du, Wen-Chih Peng

The Best of both Worlds: Dual Channel Language modeling for Hope Speech Detection in low-resourced Kannada

Adeep Hande, Siddhanth U Hegde, Sivanesan Sangeetha, Ruba Priyadharshini, Bharathi Raja Chakravarthi

IIITSurat@LT-EDI-ACL2022: Hope Speech Detection using Machine Learning

Pradeep Roy, Snehaan Bhawal, Abhinav Kumar, Bharathi Raja Chakravarthi

Monte Carlo Tree Search for Interpreting Stress in Natural Language

Kyle Swanson, Joy Hsu, Mirac Suzgun

Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and Arabic

António Câmara, Nina Taneja, Tamjeed Azad, Emily Allaway, Richard Zemel

Behind the Mask: Demographic bias in name detection for PII masking

Courtney Mansfield, Amandalynne Paullada, Kristen Howell

Disambiguation of morpho-syntactic features of African American English – the case of habitual be

Harrison Santiago, Joshua Martin, Sarah Moeller, Kevin Tang

Debiasing Pre-Trained Language Models via Efficient Fine-Tuning

Michael Gira, Ruisu Zhang, Kangwook Lee

Inferring Gender: A Scalable Methodology for Gender Detection with Online Lexical Databases

Marion Bartl, Susan Leavy

Detoxifying Language Models with a Toxic Corpus

Yoona Park, Frank Rudzicz

Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users

Akhter Al Amin, Saad Hassan, Cecilia Alm, Matt Huenerfauth

Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals

Debora Nozza, Federico Bianchi, Anne Lauscher, Dirk Hovy

Doing not Being: Concrete Language as a Bridge from Language Technology to Ethnically Inclusive Job Ads

Jetske Adams, Kyrill Poelmans, Iris Hendrickx, Martha Larson

Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements

Anna Pillar, Kyrill Poelmans, Martha Larson

Mind the data gap(s): Investigating power in speech and language datasets

Nina Markl

A survey on improving NLP models with human explanations

Mareike Hartmann, Daniel Sonntag

When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

Peter Hase, Mohit Bansal

Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions

Alicia Parrish, Harsh Trivedi, Ethan Perez, Angelica Chen, Nikita Nangia

GrammarSHAP: An Efficient Model-Agnostic and Structure-Aware NLP Explainer

Edoardo Mosca, Defne Demirtürk, Luca Mülln, Fabio Raffagnato, Georg Groh

Finding Sub-task Structure with Natural Language Instruction

Ryokan Ri, Yufang Hou, Radu Marinescu, Akihiro Kishimoto

GlossReader at LSCDiscovery: Train to Select a Proper Gloss in English – Discover Lexical Semantic Change in Spanish

Maxim Rachinskiy, Nikolay Arefyev

HSE at LSCDiscovery in Spanish: Clustering and Profiling for Lexical Semantic Change Discovery

Kseniia Kashleva, Alexander Shein, Elizaveta Tukhtina, Svetlana Vydrina

CoToHiLi at LSCDiscovery: the Role of Linguistic Features in Predicting Semantic Change

Ana Sabina Uban, Alina Maria Cristea, Anca Daniela Dinu, Liviu P Dinu, Simona Georgescu

UAlberta at LSCDiscovery: Lexical Semantic Change Detection via Word Sense Disambiguation

Daniela Teodorescu, Spencer von der Ohe, Grzegorz Kondrak

DeepMistake at LSCDiscovery: Can a Multilingual Word-in-Context Model Replace Human Annotators?

Daniil Homskiy, Nikolay Arefyev

BOS at LSCDiscovery: Lexical Substitution for Interpretable Lexical Semantic Change Detection

Artem Kudisov, Nikolay Arefyev

LSCDiscovery: A shared task on semantic change discovery and detection in Spanish

Frank D. Zamora-Reina, Felipe Bravo-Marquez, Dominik Schlechtweg

Roadblocks in Gender Bias Measurement for Diachronic Corpora

Saied Alshahrani, Esma Wali, Abdullah R Alshamsan, Yan Chen, Jeanna Matthews

Using neural topic models to track context shifts of words: a case study of COVID-related terms before and after the lockdown in April 2020

Olga Kellert, Md Mahmud Uz Zaman

“Vaderland”, “Volk” and “Natie”: Semantic Change Related to Nationalism in Dutch Literature Between 1700 and 1880 Captured with Dynamic Bernoulli Word Embeddings

Marije Timmermans, Eva Vanmassenhove, Dimitar Shterionov

Low Saxon dialect distances at the orthographic and syntactic level

Janine Siewert, Yves Scherrer, Martijn Wieling

Lexicon of Changes: Towards the Evaluation of Diachronic Semantic Shift in Chinese

Jing Chen, Emmanuele Chersoni, Chu-Ren Huang

Caveats of Measuring Semantic Change of Cognates and Borrowings using Multilingual Word Embeddings

Clémentine Fourrier, Syrielle Montariol

A New Framework for Fast Automated Phonological Reconstruction Using Trimmed Alignments and Sound Correspondence Patterns

Johann-Mattis List, Robert Forkel, Nathan Hill

Using Cross-Lingual Part of Speech Tagging for Partially Reconstructing the Classic Language Family Tree Model

Anat Samohi, Daniel Weisberg Mitelman, Kfir Bar

Explainable Publication Year Prediction of Eighteenth Century Texts with the BERT Model

Iiro Rastas, Yann Ciarán Ryan, Iiro Tiihonen, Mohammadreza Qaraei, Liina Repo

Do Not Fire the Linguist: Grammatical Profiles Help Language Models Detect Semantic Change

Mario Giulianelli, Andrey Kutuzov, Lidia Pivovarova

From qualifiers to quantifiers: semantic shift at the paradigm level

Quentin Feltgen

What is Done is Done: an Incremental Approach to Semantic Shift Detection

Francesco Periti, Alfio Ferrara, Stefano Montanelli, Martin Ruskov

Deconstructing destruction: A Cognitive Linguistics perspective on a computational analysis of diachronic change

Karlien Franco, Mariana Montes, Kris Heylen

Language Acquisition, Neutral Change, and Diachronic Trends in Noun Classifiers

Aniket Kali, Jordan Kodner

A Multilingual Benchmark to Capture Olfactory Situations over Time

Stefano Menini, Teresa Paccosi, Sara Tonelli, Marieke van Erp, Inger Leemans