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Generating High Quality Synthetic Data for Dutch Medical Conversations GIANTS: Generative Insight Anticipation from Scientific Literature Should We be Pedantic About Reasoning Errors in Machine Translation? Computational Implementation of a Model of Category-Theoretic Metaphor Comprehension CoSToM:Causal-oriented Steering for Intrinsic Theory-of-Mind Alignment in Large Language Models ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Models CircuitSynth: Reliable Synthetic Data Generation Think in Sentences: Explicit Sentence Boundaries Enhance Language Model's Capabilities CodaRAG: Connecting the Dots with Associativity Inspired by Complementary Learning From Query to Counsel: Structured Reasoning with a Multi-Agent Framework and Dataset for Legal Consultation ReFEree: Reference-Free and Fine-Grained Method for Evaluating Factual Consistency in Real-World Code Summarization LLMs Should Incorporate Explicit Mechanisms for Human Empathy Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models Bridging Linguistic Gaps: Cross-Lingual Mapping in Pre-Training and Dataset for Enhanced Multilingual LLM Performance Computational Lesions in Multilingual Language Models Separate Shared and Language-specific Brain Alignment Efficient Process Reward Modeling via Contrastive Mutual Information Learning and Enforcing Context-Sensitive Control for LLMs Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models Deep-Reporter: Deep Research for Grounded Multimodal Long-Form Generation Generating Multiple-Choice Knowledge Questions with Interpretable Difficulty Estimation using Knowledge Graphs and Large Language Models Do BERT Embeddings Encode Narrative Dimensions? 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Inducing a Semantically Annotated Lexicon via EM-Based Clustering
1999-05-19 · via cs.AI updates on arXiv.org

We present a technique for automatic induction of slot annotations for subcategorization frames, based on induction of hidden classes in the EM framework of statistical estimation. The models are empirically evalutated by a general decision test. Induction of slot labeling for subcategorization frames is accomplished by a further application of EM, and applied experimentally on frame observations derived from parsing large corpora. We outline an interpretation of the learned representations as theoretical-linguistic decompositional lexical entries.

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