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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
Plausibility Processing in Transformer Language Models: Focusing on the Role of Attention Heads in GPT
EMNLP 2023
Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors
EMNLP 2023
OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding
EMNLP 2023
Guiding AMR Parsing with Reverse Graph Linearization
EMNLP 2023
IRFL: Image Recognition of Figurative Language
EMNLP 2023
TIMELINE: Exhaustive Annotation of Temporal Relations Supporting the Automatic Ordering of Events in News Articles
EMNLP 2023
A Benchmark for Reasoning with Spatial Prepositions
EMNLP 2023
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models
EMNLP 2023
Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests
EMNLP 2023
Rich Event Modeling for Script Event Prediction
AAAI 2023
Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents
EMNLP 2023
A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding
AAAI 2023
IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions
EMNLP 2023
Dispersing the clouds of doubt: can cosine similarity of word embeddings help identify relation-level metaphors in Slovene?
EACL 2023
Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism
EMNLP 2023
PoliTo at SemEval-2023 Task 1: CLIP-based Visual-Word Sense Disambiguation Based on Back-Translation
SEMEVAL 2023
ML Mob at SemEval-2023 Task 1: Probing CLIP on Visual Word-Sense Disambiguation
SEMEVAL 2023
EDeR: Towards Understanding Dependency Relations Between Events
EMNLP 2023
Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling
EMNLP 2023
PanTop: Pandemic Topic Detection and Monitoring System (Student Abstract)
AAAI 2023
Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding
EMNLP 2023
Team INF-UFRGS at SemEval-2023 Task 7: Supervised Contrastive Learning for Pair-level Sentence Classification and Evidence Retrieval
SEMEVAL 2023
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks
EMNLP 2023
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding
EMNLP 2023
Explaining Interactions Between Text Spans
EMNLP 2023
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