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Viewing Publication 1 - 45 from 45

2022

Clustering Examples in Multi-Dataset Benchmarks with Item Response TheoryPedro Rodríguez 0001, Phu Mon Htut, John Lalor, João Sedoc. acl-insights 2022: 100-112 [doi]

Combining Extraction and Generation for Constructing Belief-Consequence Causal LinksMaria Alexeeva, Allegra A. Beal, Mihai Surdeanu. acl-insights 2022: 159-164 [doi]

Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese NetworksGoonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene, Hong Yung Yip, Vishesh Javangula, Amit P. Sheth, Srinivasan Parthasarathy 0001, Olivier Bodenreider. acl-insights 2022: 82-87 [doi]

Pathologies of Pre-trained Language Models in Few-shot Fine-tuningHanjie Chen, Guoqing Zheng, Ahmed Hassan Awadallah, Yangfeng Ji. acl-insights 2022: 144-153 [doi]

Do Dependency Relations Help in the Task of Stance Detection?Alessandra Teresa Cignarella, Cristina Bosco, Paolo Rosso. acl-insights 2022: 10-17 [doi]

On Isotropy Calibration of Transformer ModelsYue Ding, Karolis Martinkus, Damian Pascual, Simon Clematide, Roger Wattenhofer. acl-insights 2022: 1-9 [doi]

Can Question Rewriting Help Conversational Question Answering?Etsuko Ishii, Yan Xu 0012, Samuel Cahyawijaya, Bryan Wilie. acl-insights 2022: 94-99 [doi]

Evaluating the Practical Utility of Confidence-score based Techniques for Unsupervised Open-world ClassificationSopan Khosla, Rashmi Gangadharaiah. acl-insights 2022: 18-23 [doi]

On the Limits of Evaluating Embodied Agent Model Generalization Using Validation SetsHyounghun Kim, Aishwarya Padmakumar, Di Jin, Mohit Bansal, Dilek Hakkani-Tur. acl-insights 2022: 113-118 [doi]

Pre-trained language models evaluating themselves - A comparative studyPhilipp Koch, Matthias Aßenmacher, Christian Heumann. acl-insights 2022: 180-187 [doi]

An Empirical study to understand the Compositional Prowess of Neural Dialog ModelsVinayshekhar Bannihatti Kumar, Vaibhav Kumar, Mukul Bhutani, Alexander Rudnicky. acl-insights 2022: 154-158 [doi]

BPE beyond Word Boundary: How NOT to use Multi Word Expressions in Neural Machine TranslationDipesh Kumar, Avijit Thawani. acl-insights 2022: 172-179 [doi]

Ancestor-to-Creole Transfer is Not a Walk in the ParkHeather C. Lent, Emanuele Bugliarello, Anders Søgaard. acl-insights 2022: 68-74 [doi]

Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomainsChenyang Lyu, Jennifer Foster, Yvette Graham. acl-insights 2022: 24-37 [doi]

Replicability under Near-Perfect Conditions - A Case-Study from Automatic SummarizationMargot Mieskes. acl-insights 2022: 165-171 [doi]

Cross-lingual Inflection as a Data Augmentation Method for ParsingAlberto Muñoz-Ortiz, Carlos Gómez-Rodríguez, David Vilares. acl-insights 2022: 54-61 [doi]

On the Impact of Data Augmentation on Downstream Performance in Natural Language ProcessingItsuki Okimura, Machel Reid, Makoto Kawano, Yutaka Matsuo. acl-insights 2022: 88-93 [doi]

What Do You Get When You Cross Beam Search with Nucleus Sampling?Uri Shaham, Omer Levy. acl-insights 2022: 38-45 [doi]

Challenges in including extra-linguistic context in pre-trained language modelsIonut Sorodoc, Laura Aina, Gemma Boleda. acl-insights 2022: 134-138 [doi]

How Much Do Modifications to Transformer Language Models Affect Their Ability to Learn Linguistic Knowledge?Simeng Sun, Brian Dillon, Mohit Iyyer. acl-insights 2022: 46-53 [doi]

Do Data-based Curricula Work?Maxim K. Surkov, Vladislav D. Mosin, Ivan P. Yamshchikov. acl-insights 2022: 119-128 [doi]

Proceedings of the Third Workshop on Insights from Negative Results in NLP, Insights@ACL 2022, Dublin, Ireland, May 26, 2022Shabnam Tafreshi, João Sedoc, Anna Rogers, Aleksandr Drozd, Anna Rumshisky, Arjun R. Akula, editors, Association for Computational Linguistics, 2022. [doi]

What GPT Knows About Who is WhoXiaohan Yang, Eduardo Peynetti, Vasco Meerman, Chris Tanner. acl-insights 2022: 75-81 [doi]

Label Errors in BANKING77Cecilia Ying, Stephen Thomas. acl-insights 2022: 139-143 [doi]

The Document Vectors Using Cosine Similarity RevisitedBingyu Zhang, Nikolay Arefyev. acl-insights 2022: 129-133 [doi]

Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text ClassificationDawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow. acl-insights 2022: 62-67 [doi]

2020

Embedding Structured Dictionary EntriesSteven R. Wilson 0001, Walid Magdy, Barbara McGillivray, Gareth Tyson. acl-insights 2020: 117-125 [doi]

HINT3: Raising the bar for Intent Detection in the WildGaurav Arora, Chirag Jain, Manas Chaturvedi, Krupal Modi. acl-insights 2020: 100-105 [doi]

Can Knowledge Graph Embeddings Tell Us What Fact-checked Claims Are About?Valentina Beretta, Sébastien Harispe, Katarina Boland, Luke Lo Seen, Konstantin Todorov, Andon Tchechmedjiev. acl-insights 2020: 71-75 [doi]

How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical StudyMeghana Moorthy Bhat, Srinivasan Parthasarathy 0001. acl-insights 2020: 48-53 [doi]

Label Propagation-Based Semi-Supervised Learning for Hate Speech ClassificationAshwin Geet D'Sa, Irina Illina, Dominique Fohr, Dietrich Klakow, Dana Ruiter. acl-insights 2020: 54-59 [doi]

Q. Can Knowledge Graphs be used to Answer Boolean Questions? A. It's complicated!Daria Dzendzik, Carl Vogel, Jennifer Foster. acl-insights 2020: 6-14 [doi]

The Extraordinary Failure of Complement Coercion CrowdsourcingYanai Elazar, Victoria Basmova, Shauli Ravfogel, Yoav Goldberg, Reut Tsarfaty. acl-insights 2020: 106-116 [doi]

Layout-Aware Text Representations Harm Clustering Documents by TypeCatherine Finegan-Dollak, Ashish Verma. acl-insights 2020: 60-65 [doi]

Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented DataWilliam Huang, Haokun Liu, Samuel R. Bowman. acl-insights 2020: 82-87 [doi]

NMF Ensembles? Not for Text Summarization!Alka Khurana, Vasudha Bhatnagar. acl-insights 2020: 88-93 [doi]

Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?Zhengzhong Liang, Mihai Surdeanu. acl-insights 2020: 76-81 [doi]

If You Build Your Own NER Scorer, Non-replicable Results Will ComeConstantine Lignos, Marjan Kamyab. acl-insights 2020: 94-99 [doi]

How Far Can We Go with Data Selection? A Case Study on Semantic Sequence Tagging TasksSamuel Louvan, Bernardo Magnini. acl-insights 2020: 15-21 [doi]

Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair TasksAnsel MacLaughlin, Jwala Dhamala, Anoop Kumar, Sriram Venkatapathy, Ragav Venkatesan, Rahul Gupta. acl-insights 2020: 22-31 [doi]

Domain adaptation challenges of BERT in tokenization and sub-word representations of Out-of-Vocabulary wordsAnmol Nayak, Hariprasad Timmapathini, Karthikeyan Ponnalagu, Vijendran Gopalan Venkoparao. acl-insights 2020: 1-5 [doi]

On Task-Level Dialogue Composition of Generative Transformer ModelPrasanna Parthasarathi, Sharan Narang, Arvind Neelakantan. acl-insights 2020: 41-47 [doi]

Proceedings of the First Workshop on Insights from Negative Results in NLP, Insights 2020, Online, November 19, 2020Anna Rogers, João Sedoc, Anna Rumshisky, editors, Association for Computational Linguistics, 2020. [doi]

Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic ModelsSilvia Terragni, Debora Nozza, Elisabetta Fersini, Enza Messina. acl-insights 2020: 32-40 [doi]

An Analysis of Capsule Networks for Part of Speech Tagging in High- and Low-resource ScenariosAndrew Zupon, Faiz Rafique, Mihai Surdeanu. acl-insights 2020: 66-70 [doi]

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