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Found 7 papers, 5 papers with code
Systematic Analysis of Image Schemas in Natural Language through Explainable Multilingual Neural Language Processing
We propose to build on the recent success of large multilingual pretrained language models and a small dataset of examples from image schema literature to train a supervised classifier that classifies natural language expressions of varying lengths into image schemas.
Are Large Language Models Aligned with People's Social Intuitions for Human-Robot Interactions?
We find that GPT-4 strongly outperforms other models, generating answers that correlate strongly with users' answers in two studies $\unicode{x2014}$ the first study dealing with selecting the most appropriate communicative act for a robot in various situations ($r_s$ = 0. 82), and the second with judging the desirability, intentionality, and surprisingness of behavior ($r_s$ = 0. 83).
Exploring Spatial Schema Intuitions in Large Language and Vision Models
Surprisingly, correlations between model outputs and human responses emerge, revealing adaptability without a tangible connection to embodied experiences.
CogALex 2.0: Impact of Data Quality on Lexical-Semantic Relation Prediction
Predicting lexical-semantic relations between word pairs has successfully been accomplished by pre-trained neural language models.
Towards Learning Terminological Concept Systems from Multilingual Natural Language Text
Terminological Concept Systems (TCS) provide a means of organizing, structuring and representing domain-specific multilingual information and are important to ensure terminological consistency in many tasks, such as translation and cross-border communication.
CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation Identification
We describe our submission to the CogALex-VI shared task on the identification of multilingual paradigmatic relations building on XLM-RoBERTa (XLM-R), a robustly optimized and multilingual BERT model.
