Logical Reasoning

otherentity ID: logicalreasoning

Related Papers

Document-level Biomedical Relation Extraction Based on Multi-Dimensional Fusion Information and Multi-Granularity Logical Reasoning

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractDocument-level biomedical relation extraction (Bio-DocuRE) is an important branch of biomedical text mining that aims to automatically extract all relation facts from the biomedical text. Since there are a considerable …...

5036

Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractLogical reasoning of text requires identifying critical logical structures in the text and performing inference over them. Existing methods for logical reasoning mainly focus on contextual semantics of text while …...

32764

MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractLogical reasoning is of vital importance to natural language understanding. Previous studies either employ graph-based models to incorporate prior knowledge about logical relations, or introduce symbolic logic into neural models …...

32526

MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractIn this paper, we propose a comprehensive benchmark to investigate models’ logical reasoning capabilities in complex real-life scenarios. Current explanation datasets often employ synthetic data with simple reasoning structures. Therefore, …...

30953

Modeling Hierarchical Reasoning Chains by Linking Discourse Units and Key Phrases for Reading Comprehension

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractMachine reading comprehension (MRC) poses new challenges to logical reasoning, which aims to understand the implicit logical relations entailed in the given contexts and perform inference over them. Due to …...

5093

Quantifying Adaptability in Pre-trained Language Models with 500 Tasks

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWhen a neural language model (LM) is adapted to perform a new task, what aspects of the task predict the eventual performance of the model? In NLP, systematic features of …...

21064

Type-dependent Prompt CycleQAG : Cycle Consistency for Multi-hop Question Generation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractMulti-hop question generation (QG) is the process of generating answer related questions, which requires aggregating multiple pieces of information and reasoning from different parts of the texts. This is opposed …...

4693

What Makes Reading Comprehension Questions Difficult?

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractFor a natural language understanding benchmark to be useful in research, it has to consist of examples that are diverse and difficult enough to discriminate among current and near-future state-of-the-art …...

38904

Do PLMs Know and Understand Ontological Knowledge?

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractOntological knowledge, which comprises classes and properties and their relationships, is integral to world knowledge. It is significant to explore whether Pretrained Language Models (PLMs) know and understand such knowledge. …...

38684