Understanding
6,547 papers (37 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
3
1
5
1
1
2
3
3
5
5
7
4
5
5
7
4
86
357
453
573
744
736
873
834
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234
2000
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Papers (including subtopics)
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems
NeurIPS 2018
Learning Scalar Adjective Intensity from Paraphrases
EMNLP 2018
Learning semantic similarity in a continuous space
NeurIPS 2018
Learning Tag Dependencies for Sequence Tagging
IJCAI 2018
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks
ACL 2018
Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking
NAACL 2018
Learning to Embed Semantic Correspondence for Natural Language Understanding
CoNLL 2018
Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models
COLING 2018
LemmaTag: Jointly Tagging and Lemmatizing for Morphologically Rich Languages with BRNNs
EMNLP 2018
Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers
ACL 2018
Leveraging distributed representations and lexico-syntactic fixedness for token-level prediction of the idiomaticity of English verb-noun combinations
ACL 2018
Leveraging Syntactic Constructions for Metaphor Identification
NAACL 2018
Lexical Conceptual Structure of Literal and Metaphorical Spatial Language: A Case Study of “Push”
NAACL 2018
Limitations in learning an interpreted language with recurrent models
EMNLP 2018
Linguistically-Informed Self-Attention for Semantic Role Labeling
EMNLP 2018
Linguistic Features of Sarcasm and Metaphor Production Quality
NAACL 2018
Linguistic representations in multi-task neural networks for ellipsis resolution
EMNLP 2018
Listwise temporal ordering of events in clinical notes
EMNLP 2018
Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models
COLING 2018
Low-resource named entity recognition via multi-source projection: Not quite there yet?
EMNLP 2018
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better
ACL 2018
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets
EMNLP 2018
Marrying Up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding
ACL 2018
Meaning_space at SemEval-2018 Task 10: Combining explicitly encoded knowledge with information extracted from word embeddings
SemEval 2018
Measuring Issue Ownership using Word Embeddings
EMNLP 2018