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Text Representation

2246 directly classified papers

Papers per year

Papers

Exploring diachronic syntactic shifts with dependency length: the case of scientific English COLING 2020
From LFG To UD: A Combined Approach COLING 2020
Verification, Reproduction and Replication of NLP Experiments: a Case Study on Parsing Universal Dependencies COLING 2020
Subjecthood and annotation: The cases of French and Wolof COLING 2020
A Universal Dependencies Conversion Pipeline for a Penn-format Constituency Treebank COLING 2020
Graph-based Syntactic Word Embeddings COLING 2020
Provenance for Linguistic Corpora through Nanopublications COLING 2020
A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages ACL 2020
GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines EMNLP 2020
Semantics- and Syntax-Related Subvectors in the Skip-Gram Embeddings (Student Abstract) AAAI 2020
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation ACL 2020
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings AAAI 2020
Learning Numeral Embedding EMNLP 2020
A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2 EMNLP 2020
Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes EMNLP 2020
Learning distributed sentence vectors with bi-directional 3D convolutions COLING 2020
Learning Conceptual-Contextual Embeddings for Medical Text AAAI 2020
Context Analysis for Pre-trained Masked Language Models EMNLP 2020
A Bilingual Generative Transformer for Semantic Sentence Embedding EMNLP 2020
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding EMNLP 2020
Incremental Sense Weight Training for In-Depth Interpretation of Contextualized Word Embeddings (Student Abstract) AAAI 2020
Back to the Future – Temporal Adaptation of Text Representations AAAI 2020
Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer! AAAI 2020
SensEmBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation AAAI 2020
On Measuring and Mitigating Biased Inferences of Word Embeddings AAAI 2020