Methods › Natural Language Processing › Language Models › ELMo › Papers, page 3
ELMo
Papers archive 2025-07-28
archive papers tagged: 234 · with a code link: 90 · where Syntology ran a sample: 17 (16 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (17 of 234 tagged: 16 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument)
Page 3 of 3: papers 201 to 234 of 234, newest first by the archive's date (ties by slug), in archive order.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling 4 Apr 2019 · 1 repository · arXiv:1904.02817
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Probing Biomedical Embeddings from Language Models 3 Apr 2019 · 1 repository · arXiv:1904.02181
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Distilling Task-Specific Knowledge from BERT into Simple Neural Networks 28 Mar 2019 · 4 repositories · arXiv:1903.12136Syntology 9 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 3 honoured, 0 violated, 0 with no contract checked; 6 where Syntology's instrument failed) · 0 unverified (of 9 harvested samples)
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Linguistic Knowledge and Transferability of Contextual Representations 21 Mar 2019 · 0 repositories · arXiv:1903.08855
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Efficient Contextual Representation Learning Without Softmax Layer 28 Feb 2019 · 0 repositories · arXiv:1902.11269
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Enhancing Clinical Concept Extraction with Contextual Embeddings 22 Feb 2019 · 0 repositories · arXiv:1902.08691
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ntuer at SemEval-2019 Task 3: Emotion Classification with Word and Sentence Representations in RCNN 21 Feb 2019 · 1 repository · arXiv:1902.07867
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Passage Re-ranking with BERT 13 Jan 2019 · 6 repositories · arXiv:1901.04085Syntology official (archive's flag): 11 ran · 11 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified (of 13 harvested samples) · 2 pointer-only (licence)
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Team EP at TAC 2018: Automating data extraction in systematic reviews of environmental agents 7 Jan 2019 · 0 repositories · arXiv:1901.02081
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Multilingual Constituency Parsing with Self-Attention and Pre-Training 31 Dec 2018 · 4 repositories · arXiv:1812.11760Syntology official (archive's flag): 8 ran · 22 ran (of which 0 constructed an object rather than computing a result; 19 with no instrument failure: 0 honoured, 0 violated, 19 with no contract checked; 3 where Syntology's instrument failed) · 6 unverified (of 28 harvested samples) · 3 pointer-only (licence)
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Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling 28 Dec 2018 · 0 repositories · arXiv:1812.10860
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GLoMo: Unsupervised Learning of Transferable Relational Graphs 1 Dec 2018 · 0 repositories
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Natural language understanding for task oriented dialog in the biomedical domain in a low resources context 23 Nov 2018 · 0 repositories · arXiv:1811.09417
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Extractive Summary as Discrete Latent Variables 14 Nov 2018 · 0 repositories · arXiv:1811.05542
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Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL? 12 Nov 2018 · 0 repositories · arXiv:1811.04773
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Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks 2 Nov 2018 · 1 repository · arXiv:1811.01088
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Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis 1 Nov 2018 · 0 repositories
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Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog 31 Oct 2018 · 0 repositories · arXiv:1810.13327
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Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package 26 Oct 2018 · 1 repository · arXiv:1810.11190
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Disney at IEST 2018: Predicting Emotions using an Ensemble 1 Oct 2018 · 0 repositories
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ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing 1 Oct 2018 · 0 repositories
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In-domain Context-aware Token Embeddings Improve Biomedical Named Entity Recognition 1 Oct 2018 · 0 repositories
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NL-FIIT at IEST-2018: Emotion Recognition utilizing Neural Networks and Multi-level Preprocessing 1 Oct 2018 · 1 repository
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SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations 1 Oct 2018 · 1 repository
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Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources 1 Oct 2018 · 0 repositories
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Deep contextualized word representations for detecting sarcasm and irony 26 Sep 2018 · 1 repository · arXiv:1809.09795
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Language Modeling Teaches You More Syntax than Translation Does: Lessons Learned Through Auxiliary Task Analysis 26 Sep 2018 · 0 repositories · arXiv:1809.10040
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Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks 12 Sep 2018 · 1 repository · arXiv:1809.04283
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Towards Semi-Supervised Learning for Deep Semantic Role Labeling 28 Aug 2018 · 0 repositories · arXiv:1808.09543
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IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations 27 Aug 2018 · 1 repository · arXiv:1808.08672
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Revisiting the Importance of Encoding Logic Rules in Sentiment Classification 23 Aug 2018 · 1 repository · arXiv:1808.07733
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Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection 22 Aug 2018 · 0 repositories · arXiv:1808.07244
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GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations 14 Jun 2018 · 1 repository · arXiv:1806.05662
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Deep contextualized word representations 15 Feb 2018 · 46 repositories · arXiv:1802.05365Syntology 30 ran (of which 12 constructed an object rather than computing a result; 24 with no instrument failure: 2 honoured, 0 violated, 22 with no contract checked; 6 where Syntology's instrument failed) · 28 unverified (of 58 harvested samples) · 25 pointer-only (licence)