20 citations · 24 across the 8 of their papers we have counts for
4 papers · 1 filter
Language Models Are Poor Learners of Directional Inference
Tianyi Li, Mohammad Javad Hosseini, Sabine Weber +1
We examine LMs' competence of directional predicate entailments by supervised fine-tuning with prompts. Our analysis shows that contrary to their apparent success on standard NLI,…
Task-specific Pre-training and Prompt Decomposition for Knowledge Graph Population with Language Models
Tianyi Li, Wenyu Huang, Nikos Papasarantopoulos +2
We present a system for knowledge graph population with Language Models, evaluated on the Knowledge Base Construction from Pre-trained Language Models (LM-KBC) challenge at ISWC 20…
Smoothing Entailment Graphs with Language Models
Nick McKenna, Tianyi Li, Mark Johnson +1
The diversity and Zipfian frequency distribution of natural language predicates in corpora leads to sparsity in Entailment Graphs (EGs) built by Open Relation Extraction (ORE). EGs…
Cross-lingual Inference with A Chinese Entailment Graph
Tianyi Li, Sabine Weber, Mohammad Javad Hosseini +2
Predicate entailment detection is a crucial task for question-answering from text, where previous work has explored unsupervised learning of entailment graphs from typed open relat…