Papers
Dynamic Task-Oriented Dialogue: A Comparative Study of Llama-2 and Bert in Slot Value Generation
Tiziano Labruna, Sofia Brenna, Bernardo Magnini
EEVEE: An Easy Annotation Tool for Natural Language Processing
Axel Sorensen, Siyao Peng, Barbara Plank et al.
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters
Shahed Masoudian, Cornelia Volaucnik, Markus Schedl et al.
Effects of different types of noise in user-generated reviews on human and machine translations including ChatGPT
Maja Popovic, Ekaterina Lapshinova-Koltunski, Maarit Koponen
Efficiently Acquiring Human Feedback with Bayesian Deep Learning
Haishuo Fang, Jeet Gor, Edwin Simpson
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning
Lifu Tu, Jin Qu, Semih Yavuz et al.
Embible: Reconstruction of Ancient Hebrew and Aramaic Texts Using Transformers
Niv Fono, Harel Moshayof, Eldar Karol et al.
Emo-Gen BART - A Multitask Emotion-Informed Dialogue Generation Framework
Alok Debnath, Yvette Graham, Owen Conlan
EmotionArcs: Emotion Arcs for 9,000 Literary Texts
Emily Ohman, Yuri Bizzoni, Pascale Feldkamp Moreira et al.
Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs
Avanti Bhandarkar, Ronald Wilson, Anushka Swarup et al.
EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains
Frank Mtumbuka, Steven Schockaert
End-to-End Speech Recognition for Endangered Languages of Nepal
Marieke Meelen, Alexander O’neill, Rolando Coto-Solano
Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement
Xin Quan, Marco Valentino, Louise Dennis et al.
Enhancing Society-Undermining Disinformation Detection through Fine-Grained Sentiment Analysis Pre-Finetuning
Tsung-Hsuan Pan, Chung-Chi Chen, Hen-Hsen Huang et al.
Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation
Hamidreza Rouzegar, Masoud Makrehchi
Enriching the Metadata of Community-Generated Digital Content through Entity Linking: An Evaluative Comparison of State-of-the-Art Models
Youcef Benkhedda, Adrians Skapars, Viktor Schlegel et al.
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models
Jongyoon Song, Nohil Park, Bongkyu Hwang et al.
Entity Linking in the Job Market Domain
Mike Zhang, Rob van der Goot, Barbara Plank
Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance
Adrian Theuma, Ehsan Shareghi
Establishing degrees of closeness between audio recordings along different dimensions using large-scale cross-lingual models
Maxime Fily, Guillaume Wisniewski, Severine Guillaume et al.
Ethical thematic and topic modelling analysis of sleep concerns in a social media derived suicidality dataset
Martin Orr, Kirsten Van Kessel, David Parry
Evaluating ChatGPT’s Ability to Detect Hate Speech in Turkish Tweets
Somaiyeh Dehghan, Berrin Yanikoglu
Evaluating In-Context Learning for Computational Literary Studies: A Case Study Based on the Automatic Recognition of Knowledge Transfer in German Drama
Janis Pagel, Axel Pichler, Nils Reiter
Evaluating Modular Dialogue System for Form Filling Using Large Language Models
Sherzod Hakimov, Yan Weiser, David Schlangen
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains
Sanjana Ramprasad, Kundan Krishna, Zachary Lipton et al.