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Methodology
← Understanding
Natural Language Processing
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Understanding
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Semantic Analysis
2901 directly classified papers
Papers per year
2005: 1
2006: 1
2008: 1
2009: 2
2010: 3
2011: 1
2012: 1
2013: 3
2015: 2
2016: 37
2017: 150
2018: 153
2019: 250
2020: 310
2021: 378
2022: 361
2023: 380
2024: 403
2025: 402
2026: 62
Papers
Empirical Sufficiency Lower Bounds for Language Modeling with Locally-Bootstrapped Semantic Structures
ACL 2023
PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question Answering
EMNLP 2023
Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing
ACL 2023
Spoiler Detection as Semantic Text Matching
EMNLP 2023
Modeling Empathic Similarity in Personal Narratives
EMNLP 2023
Elaborative Simplification as Implicit Questions Under Discussion
EMNLP 2023
Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks
EMNLP 2023
Construction Artifacts in Metaphor Identification Datasets
EMNLP 2023
Limits for learning with language models
ACL 2023
Modeling Conceptual Attribute Likeness and Domain Inconsistency for Metaphor Detection
EMNLP 2023
On Degrees of Freedom in Defining and Testing Natural Language Understanding
ACL 2023
Improving Language Models’ Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary
EMNLP 2023
Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding
ACL 2023
Event Semantic Knowledge in Procedural Text Understanding
ACL 2023
This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models
EMNLP 2023
Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples
ACL 2023
Syntax and Semantics Meet in the “Middle”: Probing the Syntax-Semantics Interface of LMs Through Agentivity
ACL 2023
Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise?
ACL 2023
MedNgage: A Dataset for Understanding Engagement in Patient-Nurse Conversations
ACL 2023
Rarely a problem? Language models exhibit inverse scaling in their predictions following few-type quantifiers
ACL 2023
Are Language Models Sensitive to Semantic Attraction? A Study on Surprisal
ACL 2023
Prompting is not a substitute for probability measurements in large language models
EMNLP 2023
CRAPES:Cross-modal Annotation Projection for Visual Semantic Role Labeling
ACL 2023
A Dataset for Physical and Abstract Plausibility and Sources of Human Disagreement
ACL 2023
A fine-grained comparison of pragmatic language understanding in humans and language models
ACL 2023
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