CoNLL

Publications

2023

Yuiga Wada, Kanta Kaneda, Komei Sugiura
JaSPICE: Automatic Evaluation Metric Using Predicate-Argument Structures for Image Captioning Models. CoNLL (2023)
Yunke He, Xixian Liao, Jialing Liang, Gemma Boleda
The Impact of Familiarity on Naming Variation: A Study on Object Naming in Mandarin Chinese. CoNLL (2023)
Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao
On the Effects of Structural Modeling for Neural Semantic Parsing. CoNLL (2023)
Gulinigeer Abudouwaili, Wayit Abliz, Kahaerjiang Abiderexiti, Aishan Wumaier, Nian Yi
Strategies to Improve Low-Resource Agglutinative Languages Morphological Inflection. CoNLL (2023)
Lucas Weber, Elia Bruni, Dieuwke Hupkes
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning. CoNLL (2023)
Luke Gessler, Nathan Schneider
Syntactic Inductive Bias in Transformer Language Models: Especially Helpful for Low-Resource Languages? CoNLL (2023)
Christian Bentz
The Zipfian Challenge: Learning the statistical fingerprint of natural languages. CoNLL (2023)
Jin Zhao, Nianwen Xue, Bonan Min
Cross-Document Event Coreference Resolution: Instruct Humans or Instruct GPT? CoNLL (2023)
Risako Owan, Maria L. Gini, Dongyeop Kang
Quirk or Palmer: A Comparative Study of Modal Verb Frameworks with Annotated Datasets. CoNLL (2023)
Koyena Pal, Jiuding Sun, Andrew Yuan, Byron C. Wallace, David Bau
Future Lens: Anticipating Subsequent Tokens from a Single Hidden State. CoNLL (2023)
Xiaomeng Ma, Lingyu Gao, Qihui Xu
ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of Mind. CoNLL (2023)
Frontmatter. CoNLL (2023)
Esra Dönmez, Pascal Tilli, Hsiu-Yu Yang, Ngoc Thang Vu, Carina Silberer
HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities. CoNLL (2023)
Mathieu Dehouck
Challenging the "One Single Vector per Token" Assumption. CoNLL (2023)
Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu
Med-HALT: Medical Domain Hallucination Test for Large Language Models. CoNLL (2023)
Aditya R. Vaidya, Javier Turek, Alexander Huth
Humans and language models diverge when predicting repeating text. CoNLL (2023)
Bram van Dijk, Max J. van Duijn, Suzan Verberne, Marco Spruit
ChiSCor: A Corpus of Freely-Told Fantasy Stories by Dutch Children for Computational Linguistics and Cognitive Science. CoNLL (2023)
Yuhan Zhang, Edward Gibson, Forrest Davis
Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics. CoNLL (2023)
Brielen Madureira, Pelin Çelikkol, David Schlangen
Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing. CoNLL (2023)
Kaiser Sun, Adina Williams, Dieuwke Hupkes
The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks. CoNLL (2023)
Nathan Roll, Calbert Graham, Simon Todd
PSST! Prosodic Speech Segmentation with Transformers. CoNLL (2023)
Max J. van Duijn, Bram van Dijk, Tom Kouwenhoven, Werner de Valk, Marco Spruit, Peter vanderPutten
Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests. CoNLL (2023)
Clayton Fields, Casey Kennington
Exploring Transformers as Compact, Data-efficient Language Models. CoNLL (2023)
Dongwon Ryu, Meng Fang, Gholamreza Haffari, Shirui Pan, Ehsan Shareghi
A Minimal Approach for Natural Language Action Space in Text-based Games. CoNLL (2023)
Karin de Langis, Dongyeop Kang
A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models. CoNLL (2023)
Proceedings of the 27th Conference on Computational Natural Language Learning, CoNLL 2023, Singapore, December 6-7, 2023 CoNLL (2023)
Sagnik Ray Choudhury, Jushaan Kalra
Implications of Annotation Artifacts in Edge Probing Test Datasets. CoNLL (2023)
Taiga Ishii, Yusuke Miyao
Tree-shape Uncertainty for Analyzing the Inherent Branching Bias of Unsupervised Parsing Models. CoNLL (2023)
Gijs Wijnholds, Michael Moortgat
Structural Ambiguity and its Disambiguation in Language Model Based Parsers: the Case of Dutch Clause Relativization. CoNLL (2023)
Urban Knuples, Diego Frassinelli, Sabine Schulte im Walde
Investigating the Nature of Disagreements on Mid-Scale Ratings: A Case Study on the Abstractness-Concreteness Continuum. CoNLL (2023)
Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen
How Fragile is Relation Extraction under Entity Replacements? CoNLL (2023)
Donghyun Lee, Minkyung Park, Byung-Jun Lee
Quantifying Information of Tokens for Simple and Flexible Simultaneous Machine Translation. CoNLL (2023)
Shinjini Ghosh, Yoon Kim, Ramón Fernandez Astudillo, Tahira Naseem, Jacob Andreas
Alignment via Mutual Information. CoNLL (2023)
Yassir El Mesbahi, Atif Mahmud, Abbas Ghaddar, Mehdi Rezagholizadeh, Philippe Langlais, Prasanna Parthasarathi
On the utility of enhancing BERT syntactic bias with Token Reordering Pretraining. CoNLL (2023)
Dama Sravani, Radhika Mamidi
Enhancing Code-mixed Text Generation Using Synthetic Data Filtering in Neural Machine Translation. CoNLL (2023)
Aron Molnar, Jaap Jumelet, Mario Giulianelli, Arabella Sinclair
Attribution and Alignment: Effects of Local Context Repetition on Utterance Production and Comprehension in Dialogue. CoNLL (2023)
Daiki Asami, Saku Sugawara
PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments. CoNLL (2023)
Jarad Forristal, Fatemehsadat Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. CoNLL (2023)
Taelin Karidi, Leshem Choshen, Gal Patel, Omri Abend
MuLER: Detailed and Scalable Reference-based Evaluation. CoNLL (2023)
Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang
ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. CoNLL (2023)
Ondrej Skopek, Rahul Aralikatte, Sian Gooding, Victor Carbune
Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization. CoNLL (2023)
Mohammad Reza Ghasemi Madani, Pasquale Minervini
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization. CoNLL (2023)

2022